mirror of https://github.com/ANL-CEEESA/RELOG.git
commit
4ce52b7420
@ -1,117 +0,0 @@
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# Changelog
|
||||
|
||||
All notable changes to this project will be documented in this file.
|
||||
|
||||
- The format is based on [Keep a Changelog][changelog].
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||||
- This project adheres to [Semantic Versioning][semver].
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||||
- For versions before 1.0, we follow the [Pkg.jl convention][pkjjl]
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||||
that `0.a.b` is compatible with `0.a.c`.
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||||
|
||||
[changelog]: https://keepachangelog.com/en/1.0.0/
|
||||
[semver]: https://semver.org/spec/v2.0.0.html
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||||
[pkjjl]: https://pkgdocs.julialang.org/v1/compatibility/#compat-pre-1.0
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||||
|
||||
## [0.7.2] -- 2023-03-10
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||||
|
||||
### Fixed
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||||
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||||
- Core: Fixed modeling issue with collection disposal
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||||
- Core: Fix column names in products CSV file
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||||
|
||||
## [0.7.1] -- 2023-03-08
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||||
|
||||
### Added
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||||
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||||
- Core: Add `write_reports` function
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||||
|
||||
### Changed
|
||||
|
||||
- Web UI: Disable usage of heuristic method
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||||
|
||||
### Fixed
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||||
|
||||
- Core: Prevent plants from sending products to themselves
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||||
- Core: Enforce constraint that, if plant is closed, storage cannot be used
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||||
- Web UI: Fix parsing bug in disposal limit
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||||
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||||
## [0.7.0] -- 2023-02-23
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### Added
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||||
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||||
- Core: Allow disposal at collection centers
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||||
- Core: Allow products to have acquisition costs
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||||
- Core: Allow modeling of existing plants
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||||
- Web UI: Allow CSV variables and expressions
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||||
- Web UI: Allow specifying distance metric
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||||
|
||||
### Changed
|
||||
|
||||
- Switch from Cbc/Clp to HiGHS
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||||
|
||||
## [0.6.0] -- 2022-12-15
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||||
|
||||
### Added
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||||
|
||||
- Allow RELOG to calculate approximate driving distances, instead of just straight-line distances between points.
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||||
|
||||
### Fixed
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||||
|
||||
- Fix bug that caused building period parameter to be ignored
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||||
|
||||
## [0.5.2] -- 2022-08-26
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||||
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||||
### Changed
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||||
|
||||
- Update to JuMP 1.x
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||||
|
||||
## [0.5.1] -- 2021-07-23
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||||
|
||||
### Added
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||||
|
||||
- Allow user to specify locations as unique identifiers, instead of latitude and longitude (e.g. `us-state:IL` or `2018-us-county:17043`)
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||||
- Add what-if scenarios.
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||||
- Add products report.
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||||
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||||
## [0.5.0] -- 2021-01-06
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||||
### Added
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||||
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||||
- Allow plants to store input material for processing in later years
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||||
|
||||
## [0.4.0] -- 2020-09-18
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|
||||
### Added
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||||
|
||||
- Generate simplified solution reports (CSV)
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||||
|
||||
## [0.3.3] -- 2020-10-13
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||||
|
||||
### Added
|
||||
|
||||
- Add option to write solution to JSON file in RELOG.solve
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||||
- Improve error message when instance is infeasible
|
||||
- Make output file more readable
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||||
|
||||
## [0.3.2] -- 2020-10-07
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||||
|
||||
### Added
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||||
|
||||
- Add "building period" parameter
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||||
|
||||
## [0.3.1] -- 2020-07-17
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||||
|
||||
### Fixed
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||||
|
||||
- Fix expansion cost breakdown
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||||
|
||||
## [0.3.0] -- 2020-06-25
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||||
|
||||
### Added
|
||||
|
||||
- Track emissions and energy (transportation and plants)
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||||
|
||||
### Changed
|
||||
|
||||
- Minor changes to input file format:
|
||||
- Make all dictionary keys lowercase
|
||||
- Rename "outputs (tonne)" to "outputs (tonne/tonne)"
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@ -1,25 +0,0 @@
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Copyright © 2020, UChicago Argonne, LLC
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|
||||
All Rights Reserved
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||||
|
||||
Software Name: RELOG
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||||
|
||||
By: Argonne National Laboratory
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||||
|
||||
OPEN SOURCE LICENSE
|
||||
-------------------
|
||||
|
||||
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
|
||||
|
||||
1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
|
||||
2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
|
||||
3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
|
||||
|
||||
********************************************************************************
|
||||
|
||||
DISCLAIMER
|
||||
----------
|
||||
|
||||
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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||||
|
||||
********************************************************************************
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||||
@ -1,29 +0,0 @@
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FROM julia:1.7-buster
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ENV RELOG_TIME_LIMIT_SEC=3600
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||||
# Install Node.js & zip
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||||
RUN apt-get update -yq && \
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apt-get -yq install curl gnupg ca-certificates && \
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||||
curl -L https://deb.nodesource.com/setup_18.x | bash && \
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||||
apt-get update -yq && \
|
||||
apt-get install -yq nodejs zip
|
||||
|
||||
# Install Julia dependencies
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ADD Project.toml /app/
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ADD src/RELOG.jl /app/src/
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RUN julia --project=/app -e 'using Pkg; Pkg.update()'
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||||
|
||||
# Install JS dependencies
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ADD relog-web/package*.json /app/relog-web/
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||||
RUN cd /app/relog-web && npm install
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||||
|
||||
# Copy source code
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ADD . /app
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RUN julia --project=/app -e 'using Pkg; Pkg.precompile()'
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||||
|
||||
# Build JS app
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||||
RUN cd /app/relog-web && npm run build
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||||
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WORKDIR /app
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CMD julia --project=/app -e 'import RELOG; RELOG.web("0.0.0.0")'
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@ -1,30 +0,0 @@
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VERSION := 0.7
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PKG := ghcr.io/anl-ceeesa/relog-web
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clean:
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||||
rm -rfv build Manifest.toml test/Manifest.toml deps/formatter/build deps/formatter/Manifest.toml
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|
||||
docs:
|
||||
rsync -avP --delete-after docs/build/ ../docs/$(VERSION)/
|
||||
|
||||
docker-build:
|
||||
docker build --tag $(PKG):$(VERSION) .
|
||||
docker build --tag $(PKG):latest .
|
||||
|
||||
docker-push:
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||||
docker push $(PKG):$(VERSION)
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||||
docker push $(PKG):latest
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||||
|
||||
docker-run:
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||||
docker run -it --rm --name relog --volume $(PWD)/jobs:/app/jobs --publish 8000:8080 $(PKG):$(VERSION)
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||||
|
||||
format:
|
||||
cd deps/formatter; ../../juliaw format.jl
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||||
|
||||
test: test/Manifest.toml
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||||
./juliaw test/runtests.jl
|
||||
|
||||
test/Manifest.toml: test/Project.toml
|
||||
julia --project=test -e "using Pkg; Pkg.instantiate()"
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||||
|
||||
.PHONY: docs test format
|
||||
@ -1,4 +1,5 @@
|
||||
[deps]
|
||||
BetterFileWatching = "c9fd44ac-77b5-486c-9482-9798bd063cc6"
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||||
Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
|
||||
RELOG = "a2afcdf7-cf04-4913-85f9-c0d81ddf2008"
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||||
Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
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||||
|
||||
@ -1,17 +1,26 @@
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||||
using Documenter, RELOG
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||||
using Documenter
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||||
using RELOG
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||||
using BetterFileWatching
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||||
|
||||
function make()
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||||
makedocs(
|
||||
sitename="RELOG",
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||||
pages=[
|
||||
"Home" => "index.md",
|
||||
"usage.md",
|
||||
"format.md",
|
||||
"reports.md",
|
||||
"model.md",
|
||||
"User guide" => [
|
||||
"problem.md",
|
||||
"format.md",
|
||||
]
|
||||
],
|
||||
format = Documenter.HTML(
|
||||
assets=["assets/custom.css"],
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||||
)
|
||||
)
|
||||
end
|
||||
|
||||
function watch()
|
||||
make()
|
||||
watch_folder("src") do event
|
||||
make()
|
||||
end
|
||||
end
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||||
|
After Width: | Height: | Size: 2.0 MiB |
@ -1,225 +0,0 @@
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||||
# Optimization Model
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||||
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||||
In this page, we describe the precise mathematical optimization model used by RELOG to find the optimal logistics plan. This model is a variation of the classical Facility Location Problem, which has been widely studied in the operations research literature. To simplify the exposition, we present the simplified case where there is only one type of plant.
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||||
|
||||
## Mathematical Description
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||||
|
||||
### Sets
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||||
|
||||
| Symbol | Description |
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||||
| :----------------------------- | :-------------------------------------------------------------------- |
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||||
| $L$ | Set of collection centers holding the primary material to be recycled |
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||||
| $M$ | Set of materials recovered during the reverse manufacturing process |
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||||
| $P$ | Set of potential plants to open |
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||||
| $T = \{ 1, \ldots, t^{max} \}$ | Set of time periods |
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||||
|
||||
### Constants
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||||
|
||||
#### Plants
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||||
|
||||
| Symbol | Description | Unit |
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||||
| :---------------------- | :------------------------------------------------------------------------------------- | :---------- |
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||||
| $c^\text{exp}_{pt}$ | Cost of adding one tonne of capacity to plant $p$ at time $t$ | \$/tonne |
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||||
| $c^\text{f-base}_{pt}$ | Fixed cost of keeping plant $p$ open during time period $t$ | $ |
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||||
| $c^\text{f-exp}_{pt}$ | Increase in fixed cost for each additional tonne of capacity | \$/tonne |
|
||||
| $c^\text{open}_{pt}$ | Cost of opening plant $p$ at time $t$, at minimum capacity | $ |
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||||
| $c^\text{p-disp}_{pmt}$ | Cost of disposing recovered material $m$ at plant $p$ during time $t$ | \$/tonne/km |
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||||
| $c^\text{store}_{pt}$ | Cost of storing primary material at plant $p$ at time $t$ | \$/tonne |
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||||
| $c^\text{proc}_{pt}$ | Variable cost of processing primary material at plant $p$ at time $t$ | \$/tonne |
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||||
| $m^\text{max}_p$ | Maximum capacity of plant $p$ | tonne |
|
||||
| $m^\text{min}_p$ | Minimum capacity of plant $p$ | tonne |
|
||||
| $m^\text{init}_p$ | Initial capacity of plant $p$ | tonne |
|
||||
| $m^\text{p-disp}_{pmt}$ | Maximum amount of recovered material $m$ that plant $p$ can dispose of during time $t$ | tonne |
|
||||
| $m^\text{store}_p$ | Maximum amount of primary material that plant $p$ can store for later processing. | tonne |
|
||||
|
||||
#### Products
|
||||
|
||||
| Symbol | Description | Unit |
|
||||
| :---------------------- | :------------------------------------------------------------------------------------------------------- | :---------- |
|
||||
| $\alpha_{pm}$ | Amount of material $m$ recovered by plant $t$ for each tonne of primary material | tonne/tonne |
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||||
| $c^\text{acq}_{lt}$ | Cost of acquiring primary material at collection center $l$ during time $t$ | \$/tonne |
|
||||
| $c^\text{c-disp}_{lt}$ | Cost of disposing primary material at collection center $l$ during time $t$ | \$/tonne |
|
||||
| $m^\text{c-disp}_{t}$ | Maximum amount of primary material that can be disposed of across all collection centers during time $t$ | tonne |
|
||||
| $m^\text{initial}_{lt}$ | Amount of primary material available to be recycled at collection center $l$ during time $t$ | tonne |
|
||||
|
||||
#### Transportation
|
||||
|
||||
| Symbol | Description | Unit |
|
||||
| :---------------- | :--------------------------------------------------- | :---------- |
|
||||
| $c^\text{tr}_{t}$ | Cost to transport primary material during time $t$ | \$/tonne/km |
|
||||
| $d_{lp}$ | Distance between plant $p$ and collection center $l$ | km |
|
||||
|
||||
### Decision variables
|
||||
|
||||
| Symbol | Description | Unit |
|
||||
| :------------------------ | :-------------------------------------------------------------------------------------- | :------ |
|
||||
| $q_{mpt}$ | Amount of material $m$ recovered by plant $p$ during time $t$ | tonne |
|
||||
| $u_{pt}$ | Binary variable that equals 1 if plant $p$ starts operating at time $t$ | Boolean |
|
||||
| $w_{pt}$ | Extra capacity (amount above the minimum) added to plant $p$ during time $t$ | tonne |
|
||||
| $x_{pt}$ | Binary variable that equals 1 if plant $p$ is operational at time $t$ | Boolean |
|
||||
| $y_{lpt}$ | Amount of primary material sent from collection center $l$ to plant $p$ during time $t$ | tonne |
|
||||
| $z^{\text{p-disp}}_{mpt}$ | Amount of recovered material $m$ disposed of by plant $p$ during time $t$ | tonne |
|
||||
| $z^{\text{c-disp}}_{lt}$ | Amount of primary material disposed of at collection center $l$ during time $t$ | tonne |
|
||||
| $z^{\text{store}}_{pt}$ | Amount of primary material in storage at plant $p$ by the end of time period $t$ | tonne |
|
||||
| $z^{\text{proc}}_{mpt}$ | Amount of primary material processed by plant $p$ during time period $t$ | tonne |
|
||||
|
||||
### Objective function
|
||||
|
||||
RELOG minimizes the overall capital, production and transportation costs:
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
\text{minimize} \;\; &
|
||||
\sum_{t \in T} \sum_{p \in P} \left[
|
||||
c^\text{open}_{pt} u_{pt} +
|
||||
c^\text{f-base}_{pt} x_{pt} +
|
||||
c^\text{f-exp}_{pt} \left( \sum_{i=0}^t w_{pi} \right) +
|
||||
c^{\text{exp}}_{pt} w_{pt}
|
||||
\right] + \\
|
||||
&
|
||||
\sum_{t \in T} \sum_{p \in P} \left[
|
||||
c^{\text{store}}_{pt} z^{\text{store}}_{pt} +
|
||||
c^{\text{proc}}_{pt} z^{\text{proc}}_{pt}
|
||||
\right] + \\
|
||||
&
|
||||
\sum_{t \in T} \sum_{l \in L} \sum_{p \in P}
|
||||
c^{\text{tr}}_t d_{lp} y_{lpt} +
|
||||
\\
|
||||
&
|
||||
\sum_{t \in T} \sum_{p \in P} \sum_{m \in M} c^{\text{p-disp}}_{pmt} z_{pmt} +
|
||||
\\
|
||||
&
|
||||
\sum_{t \in T} \sum_{l \in L} c^\text{acq}_{lt} \left(
|
||||
m^\text{initial}_{lt} - z^{\text{c-disp}}_{lt}
|
||||
\right) + c^\text{c-disp}_{lt} z^{\text{c-disp}}_{lt}
|
||||
\end{align*}
|
||||
```
|
||||
|
||||
In the first line, we have (i) opening costs, if plant starts operating at time $t$, (ii) fixed operating costs, if plant is operational, (iii) additional fixed operating costs coming from expansion performed in all previous time periods up to the current one, and finally (iv) the expansion costs during the current time period.
|
||||
In the second line, we have storage and variable processing costs.
|
||||
In the third line, we have transportation costs.
|
||||
In the fourth line, we have disposal costs at the plants.
|
||||
In the fifth line, we have acquisition and disposal cost at the collection centers.
|
||||
|
||||
### Constraints
|
||||
|
||||
- All primary material must either be sent to a plant for processing or disposed of at the collection center:
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& \sum_{p \in P} y_{lpt} + z^{\text{c-disp}}_{lt} = m^\text{initial}_{lt}
|
||||
& \forall l \in L, t \in T
|
||||
\end{align*}
|
||||
```
|
||||
|
||||
- There is a limit on how much primary material can be disposed of at the collection centers:
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& \sum_{l \in L} z^{\text{c-disp}}_{lt} \leq m^\text{c-disp}_{t}
|
||||
& t \in T
|
||||
\end{align*}
|
||||
```
|
||||
|
||||
- Amount received equals amount processed plus stored. Furthermore, all primary material should be processed by the end of the simulation.
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& \sum_{l \in L} y_{lpt} + z^{\text{store}}_{p,t-1}
|
||||
= z^{\text{proc}}_{pt} + z^{\text{store}}_{p,t}
|
||||
& \forall p \in P, t \in T \\
|
||||
& z^{\text{store}}_{p,0} = 0
|
||||
& \forall p \in P \\
|
||||
& z^{\text{store}}_{p,t^{\max}} = 0
|
||||
& \forall p \in P
|
||||
\end{align*}
|
||||
```
|
||||
|
||||
- Plants have a limited processing capacity. Furthermore, if a plant is closed, it has zero processing capacity:
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& z^{\text{proc}}_{pt} \leq m^\text{min}_p x_p + \sum_{i=0}^t w_p
|
||||
& \forall p \in P, t \in T
|
||||
\end{align*}
|
||||
```
|
||||
|
||||
- Plants have limited storage capacity. Furthermore, if a plant is closed, is has zero storage capacity:
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& z^{\text{store}}_{pt} \leq m^\text{store}_p x_p
|
||||
& \forall p \in P, t \in T
|
||||
\end{align*}
|
||||
```
|
||||
|
||||
- Plants can only be expanded up to their maximum capacity. Furthermore, if a plant is closed, it cannot be expanded:
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& \sum_{i=0}^t w_p \leq \left( m^\text{max}_p - m^\text{min}_p \right) x_p
|
||||
& \forall p \in P, t \in T
|
||||
\end{align*}
|
||||
```
|
||||
|
||||
- Amount of recovered material is proportional to amount processed:
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& q_{mpt} = \alpha_{pm} z^{\text{proc}}_{pt}
|
||||
& \forall m \in M, p \in P, t \in T
|
||||
\end{align*}
|
||||
```
|
||||
|
||||
- Because we only consider a single type of plant, all recovered material must be immediately disposed of. In RELOG's full model, recovered materials may be sent to another plant for further processing.
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& q_{mpt} = z^{\text{p-disp}}_{mpt}
|
||||
& \forall m \in M, p \in P, t \in T
|
||||
\end{align*}
|
||||
```
|
||||
|
||||
- A plant is operational at time $t$ if it was operational at time $t-1$ or it was built at time $t$. This constraint also prevents a plant from being built multiple times.
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& x_{pt} = x_{p,t-1} + u_{pt}
|
||||
& \forall p \in P, t \in T \\
|
||||
\end{align*}
|
||||
```
|
||||
|
||||
- Boundary constants:
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& x_{p,0} = \begin{cases}
|
||||
0 & \text{ if } m^\text{init}_p = 0 \\
|
||||
1 & \text{ otherwise }
|
||||
\end{cases} \\
|
||||
& w_{p,0} = \max\left\{0, m^\text{init}_p - m^\text{min}_p \right\}
|
||||
\end{align*}
|
||||
```
|
||||
|
||||
- Variable bounds:
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& q_{mpt} \geq 0
|
||||
& \forall m \in M, p \in P, t \in T \\
|
||||
& u_{pt} \in \{0,1\}
|
||||
& \forall p \in P, t \in T \\
|
||||
& w_{pt} \geq 0
|
||||
& \forall p \in P, t \in T \\
|
||||
& x_{pt} \in \{0,1\}
|
||||
& \forall p \in P, t \in T \\
|
||||
& y_{lpt} \geq 0
|
||||
& \forall l \in L, p \in P, t \in T \\
|
||||
& z^{\text{c-disp}}_{lt} \geq 0
|
||||
& l \in L, t \in T \\
|
||||
& z^{\text{store}}_{pt} \geq 0
|
||||
& p \in P, t \in T \\
|
||||
& z^{\text{p-disp}}_{mpt}, z^{\text{proc}}_{mpt} \geq 0
|
||||
& \forall m \in M, p \in P, t \in T
|
||||
\end{align*}
|
||||
```
|
||||
@ -0,0 +1,279 @@
|
||||
# Mathematical problem definition
|
||||
|
||||
## Overview and assumptions
|
||||
|
||||
The mathematical model employed by RELOG is based on three main components:
|
||||
|
||||
1. **Products and Materials:** Inputs and outputs for both manufacturing and
|
||||
recycling plants. This include raw materials, whether virgin or recovered,
|
||||
and final products, whether new or at their end-of-life. Each product has
|
||||
associated transportation parameters, such as costs, energy and emissions.
|
||||
|
||||
2. **Manufacturing and Recycling Plants:** Facilities that take in specific
|
||||
materials and produce certain products. The outputs can be sent to another
|
||||
plant for further processing, to a collection & distribution center for
|
||||
customer sale, or simply disposed of at landfill. Plants have associated
|
||||
costs (capital, fixed and operating), as well as various limits (processing
|
||||
capacity, storage and disposal limits).
|
||||
|
||||
3. **Collection and Distribution Centers:** Facilities that receive final
|
||||
products from the plants, sell them to customers, and then collect them back
|
||||
once they reach their end-of-life. Collected products can either be sent to a
|
||||
plant for recycling or disposed of at a local landfill. Centers have
|
||||
associated revenue and various costs, such as operating cost, collection cost
|
||||
and disposal cost. The amount of material collected by a center can either be
|
||||
a fixed rate per year, or depend on the amount of product sold at the center
|
||||
in previous years.
|
||||
|
||||
!!! note
|
||||
|
||||
- We assume that transportation costs, energy and emissions scale linearly with transportation distance and amount being transported. Distances between locations are calculated using either approximated driving distances (continental U.S. only) or straight-line distances.
|
||||
- Once a plant is opened, we assume that it remains open until the end of the planning horizon. Similarly, once a plant is expanded, its size cannot be reduced at a later time.
|
||||
- In addition to serving as a source of end-of-life products, centers can also serve as a source for virgin materials. In this case, the center does not receive any inputs from manufacturing or recycling plants, and it generates the desired material at a fixed rate. Collection cost, in this case, refers to the cost to produce the virgin material.
|
||||
- We assume that centers accept either no input product, or a single input product.
|
||||
|
||||
## Sets
|
||||
|
||||
| Symbol | Description |
|
||||
| :------- | :-------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| $C$ | Set of collection and distribution centers |
|
||||
| $P$ | Set of manufacturing and recycling plants |
|
||||
| $M$ | Set of products and materials |
|
||||
| $G$ | Set of greenhouse gases |
|
||||
| $M^+_u$ | Set of output products of plant/center $u$. |
|
||||
| $M^-_u$ | Set of input products of plant/center $u$. |
|
||||
| $T$ | Set of time periods in the planning horizon. We assume $T=\{1,\ldots,t^{max}\}.$ |
|
||||
| $E$ | Set of transportation edges. Specifically, $(u,v,m) \in E$ if $m$ is an output of $u$ and an input of $v$, where $m \in M$ and $u, v \in P \cup C$. |
|
||||
| $E^-(v)$ | Set of incoming edges for plant/center v. Specifically, edges $(u,m)$ such that $(u,v,m) \in E$. |
|
||||
| $E^+(u)$ | Set of outgoing edges for plant/center u. Specifically, edges $(v,m)$ such that $(u,v,m) \in E$. |
|
||||
|
||||
## Constants
|
||||
|
||||
| Symbol | Description | Unit |
|
||||
| :-------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :------------- |
|
||||
| $K^{\text{dist}}_{uv}$ | Distance between plants/centers $u$ and $v$ | km |
|
||||
| $K^\text{cap}_{p}$ | Capacity of plant $p$, if the plant is open | tonne |
|
||||
| $K^\text{disp-limit}_{mt}$ | Maximum amount of material $m$ that can be disposed of (globally) at time $t$ | tonne |
|
||||
| $K^\text{disp-limit}_{mut}$ | Maximum amount of material $m$ that can be disposed of at plant/center $u$ at time $t$ | tonne |
|
||||
| $K^\text{mix}_{pmt}$ | If plant $p$ receives one tonne of input material at time $t$, then $K^\text{mix}_{pmt}$ is the amount of product $m$ in this mix. Must be between zero and one, and the sum of these amounts must equal to one. | tonne |
|
||||
| $K^\text{output}_{pmt}$ | Amount of material $m$ produced by plant $p$ at time $t$ for each tonne of input material processed | tonne |
|
||||
| $K^\text{tr-em}_{gmt}$ | Amount of greenhouse gas $g$ released by transporting 1 tonne of material $m$ over one km at time $t$ | tonne/km-tonne |
|
||||
| $R^\text{tr}_{mt}$ | Cost to send material $m$ at time $t$ | \$/km-tonne |
|
||||
| $R^\text{collect}_{cmt}$ | Cost of collecting material $m$ at center $c$ at time $t$ | \$/tonne |
|
||||
| $R^\text{disp}_{umt}$ | Cost to dispose of material at plant/center $u$ at time $t$ | \$/tonne |
|
||||
| $R^\text{fix}_{ut}$ | Fixed operating cost for plant/center $u$ at time $t$ | \$ |
|
||||
| $R^\text{open}_{pt}$ | Cost to open plant $p$ at time $t$ | \$ |
|
||||
| $R^\text{rev}_{ct}$ | Revenue for selling the input product of center $c$ at this center at time $t$ | \$/tonne |
|
||||
| $R^\text{var}_{pt}$ | Cost to process one tonne of input material at plant $p$ at time $t$ | \$/tonne |
|
||||
| $K^\text{out-fix}_{cmt}$ | Fixed amount of material $m$ collected at center $m$ at time $t$ | \$/tonne |
|
||||
| $K^\text{out-var}_{c,m,i}$ | Factor used to calculate variable amount of material $m$ collected at center $m$. See `eq_z_collected` for more details. | -- |
|
||||
| $K^\text{out-var-len}_{cm}$ | Length of the $K^\text{out-var}_{c,m,*}$ vector. | -- |
|
||||
|
||||
## Decision variables
|
||||
|
||||
| Symbol | JuMP name | Description | Unit |
|
||||
| :--------------------------- | :------------------------------------------- | :------------------------------------------------------------------------------------------------------ | :----- |
|
||||
| $x_{pt}$ | `x[p.name, t]` | One if plant $p$ is operational at time $t$ | binary |
|
||||
| $y_{uvmt}$ | `y[u.name, v.name, m.name, t]` | Amount of product $m$ sent from plant/center $u$ to plant/center $v$ at time $t$ | tonne |
|
||||
| $z^{\text{collected}}_{cmt}$ | `z_collected[c.name, m.name, t]` | Amount of material $m$ collected by center $c$ at time $t$ | tonne |
|
||||
| $z^{\text{disp}}_{umt}$ | `z_disp[u.name, m.name, t]` | Amount of product $m$ disposed of at plant/center $u$ at time $t$ | tonne |
|
||||
| $z^{\text{input}}_{ut}$ | `z_input[u.name, t]` | Total plant/center input at time $t$ | tonne |
|
||||
| $z^{\text{prod}}_{umt}$ | `z_prod[u.name, m.name, t]` | Amount of product $m$ produced by plant/center $u$ at time $t$ | tonne |
|
||||
| $z^{\text{tr-em}}_{guvmt}$ | `z_tr_em[g.name, u.name, v.name, m.name, t]` | Amount of greenhouse gas $g$ released at time $t$ due to transportation of material $m$ from $u$ to $v$ | tonne |
|
||||
|
||||
## Objective function
|
||||
|
||||
The goals is to minimize a linear objective function with the following terms:
|
||||
|
||||
- Transportation costs, which depend on transportation distance
|
||||
$K^{\text{dist}}_{uv}$ and product-specific factor $R^\text{tr}_{mt}$:
|
||||
|
||||
```math
|
||||
\sum_{(u, v, m) \in E} \sum_{t \in T} K^{\text{dist}}_{uv} R^\text{tr}_{mt} y_{uvmt}
|
||||
```
|
||||
|
||||
- Center revenue, obtained by selling products received from manufacturing and
|
||||
recycling plants:
|
||||
|
||||
```math
|
||||
- \sum_{c \in C} \sum_{(p,m) \in E^-(c)} \sum_{t \in T} R^\text{rev}_{ct} y_{pcmt}
|
||||
```
|
||||
|
||||
- Center collection cost, incurred for each tonne of output material sent to a
|
||||
plant:
|
||||
|
||||
```math
|
||||
\sum_{c \in C} \sum_{(p,m) \in E^+(c)} \sum_{t \in T} R^\text{collect}_{cmt} y_{cpmt}
|
||||
```
|
||||
|
||||
- Center disposal cost, incurred when disposing of output material, instead of
|
||||
sending it to a plant:
|
||||
|
||||
```math
|
||||
\sum_{c \in C} \sum_{m \in M^+_c} \sum_{t \in T} R^\text{disp}_{cmt} z^\text{disp}_{cmt}
|
||||
```
|
||||
|
||||
- Center fixed operating cost, incurred for every time period, regardless of
|
||||
input or output amounts:
|
||||
|
||||
```math
|
||||
\sum_{c \in C} \sum_{t \in T} R^\text{fix}_{ct}
|
||||
```
|
||||
|
||||
- Plant disposal cost, incurred for each tonne of product discarded at the
|
||||
plant:
|
||||
|
||||
```math
|
||||
\sum_{p \in P} \sum_{m \in M^+_p} \sum_{t \in T} R^\text{disp}_{pmt} z^\text{disp}_{pmt}
|
||||
```
|
||||
|
||||
- Plant opening cost:
|
||||
|
||||
```math
|
||||
\sum_{p \in P} \sum_{t \in T} R^\text{open}_{pt} \left(
|
||||
x_{pt} - x_{p,t-1}
|
||||
\right)
|
||||
```
|
||||
|
||||
- Plant fixed operating cost, incurred for every time period, regardless of
|
||||
input or output amounts, as long as the plant is operational:
|
||||
|
||||
```math
|
||||
\sum_{p \in P} \sum_{t \in T} R^\text{fix}_{pt} x_{pt}
|
||||
```
|
||||
|
||||
- Plant variable operating cost, incurred for each tonne of input material
|
||||
received by the plant:
|
||||
|
||||
```math
|
||||
\sum_{p \in P} \sum_{(u,m) \in E^-(p)} \sum_{t \in T} R^\text{var}_{pt} y_{upmt}
|
||||
```
|
||||
|
||||
## Constraints
|
||||
|
||||
- Definition of plant input (`eq_z_input[p.name, t]`):
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& z^{\text{input}}_{pt} = \sum_{(u,m) \in E^-(p)} y_{upmt}
|
||||
& \forall p \in P, t \in T
|
||||
\end{align*}
|
||||
```
|
||||
|
||||
- Plant input mix must have correct proportion
|
||||
(`eq_input_mix[p.name, m.name, t]`):
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& \sum_{u : (u,m) \in E^-(p)} y_{upmt}
|
||||
= K^\text{mix}_{pmt} z^{\text{input}}_{pt}
|
||||
& \forall p \in P, m \in M^-_p, t \in T
|
||||
\end{align*}
|
||||
```
|
||||
|
||||
- Definition of amount produced by a plant (`eq_z_prod[p.name, m.name, t]`):
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& z^\text{prod}_{pmt} = K^\text{output}_{pmt} z^\text{input}_{pt}
|
||||
& \forall p \in P, m \in M^+_p, t \in T
|
||||
\end{align*}
|
||||
```
|
||||
|
||||
- Material produced by a plant must be sent somewhere or disposed of
|
||||
(`eq_balance[p.name, m.name, t]`):
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& z^\text{prod}_{pmt} = \sum_{v : (v,m) \in E^+(p)} y_{pvmt} + z^\text{disp}_{pmt}
|
||||
& \forall p \in P, m \in M^+_p, t \in T
|
||||
\end{align*}
|
||||
```
|
||||
|
||||
- Plants have a maximum capacity; furthermore, if the plant is not open, its
|
||||
capacity is zero (`eq_capacity[p.name,t]`)
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& z^\text{input}_{pt} \leq K^\text{cap}_p x_{pt}
|
||||
& \forall p \in P, t \in T
|
||||
\end{align*}
|
||||
```
|
||||
|
||||
- Disposal limit at the plants (`eq_disposal_limit[p.name, m.name, t]`):
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& z^\text{disp}_{pmt} \leq K^\text{disp-limit}_{pmt}
|
||||
& \forall p \in P, m \in M^+_p, t \in T
|
||||
\end{align*}
|
||||
```
|
||||
|
||||
- Once a plant is built, it must remain open until the end of the planning
|
||||
horizon (`eq_keep_open[p.name, t]`):
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& x_{pt} \geq x_{p,t-1}
|
||||
& \forall p \in P, t \in T
|
||||
\end{align*}
|
||||
```
|
||||
|
||||
- Definition of center input (`eq_z_input[c.name, t]`):
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& z^\text{input}_{ct} = \sum_{u : (u,m) \in E^-(c)} y_{ucmt}
|
||||
& \forall c \in C, t \in T
|
||||
\end{align*}
|
||||
```
|
||||
|
||||
- Calculation of amount collected by the center
|
||||
(`eq_z_collected[c.name, m.name, t]`). In the equation below,
|
||||
$K^\text{out-var-len}$ is the length of the $K^\text{out-var}_{c,m,*}$ vector.
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& z^\text{collected}_{cmt}
|
||||
= \sum_{i=0}^{\min\{K^\text{out-var-len}_{cm}-1,t-1\}} K^\text{out-var}_{c,m,i+1} z^\text{input}_{c,t-i}
|
||||
+ K^\text{out-fix}_{cmt}
|
||||
& \forall c \in C, m \in M^+_c, t \in T
|
||||
\end{align*}
|
||||
```
|
||||
|
||||
- Products collected at centers must be sent somewhere or disposed of
|
||||
(`eq_balance[c.name, m.name, t]`):
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& z^\text{collected}_{cmt} = \sum_{v : (v,m) \in E^+(c)} y_{cvmt} + z^\text{disp}_{cmt}
|
||||
& \forall c \in C, m \in M^+_c, t \in T
|
||||
\end{align*}
|
||||
```
|
||||
|
||||
- Disposal limit at the centers (`eq_disposal_limit[c.name, m.name, t]`):
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& z^\text{disp}_{cmt} \leq K^\text{disp-limit}_{cmt}
|
||||
& \forall c \in C, m \in M^+_c, t \in T
|
||||
\end{align*}
|
||||
```
|
||||
|
||||
- Global disposal limit (`eq_disposal_limit[m.name, t]`)
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& \sum_{p \in P} z^\text{disp}_{pmt} + \sum_{c \in C} z^\text{disp}_{cmt} \leq K^\text{disp-limit}_{mt}
|
||||
& \forall m \in M, t \in T
|
||||
\end{align*}
|
||||
```
|
||||
|
||||
- Computation of transportation emissions (`eq_tr_em[g.name, u.name, v.name, m.name, t`)
|
||||
|
||||
```math
|
||||
\begin{align*}
|
||||
& z^{\text{tr-em}}_{guvmt} = K^{\text{dist}}_{uv} K^\text{tr-em}_{gmt} y_{uvmt}
|
||||
& \forall g \in G, (u, v, m) \in E, t \in T
|
||||
\end{align*}
|
||||
```
|
||||
@ -1,70 +0,0 @@
|
||||
# Getting Started with Create React App
|
||||
|
||||
This project was bootstrapped with [Create React App](https://github.com/facebook/create-react-app).
|
||||
|
||||
## Available Scripts
|
||||
|
||||
In the project directory, you can run:
|
||||
|
||||
### `npm start`
|
||||
|
||||
Runs the app in the development mode.\
|
||||
Open [http://localhost:3000](http://localhost:3000) to view it in your browser.
|
||||
|
||||
The page will reload when you make changes.\
|
||||
You may also see any lint errors in the console.
|
||||
|
||||
### `npm test`
|
||||
|
||||
Launches the test runner in the interactive watch mode.\
|
||||
See the section about [running tests](https://facebook.github.io/create-react-app/docs/running-tests) for more information.
|
||||
|
||||
### `npm run build`
|
||||
|
||||
Builds the app for production to the `build` folder.\
|
||||
It correctly bundles React in production mode and optimizes the build for the best performance.
|
||||
|
||||
The build is minified and the filenames include the hashes.\
|
||||
Your app is ready to be deployed!
|
||||
|
||||
See the section about [deployment](https://facebook.github.io/create-react-app/docs/deployment) for more information.
|
||||
|
||||
### `npm run eject`
|
||||
|
||||
**Note: this is a one-way operation. Once you `eject`, you can't go back!**
|
||||
|
||||
If you aren't satisfied with the build tool and configuration choices, you can `eject` at any time. This command will remove the single build dependency from your project.
|
||||
|
||||
Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except `eject` will still work, but they will point to the copied scripts so you can tweak them. At this point you're on your own.
|
||||
|
||||
You don't have to ever use `eject`. The curated feature set is suitable for small and middle deployments, and you shouldn't feel obligated to use this feature. However we understand that this tool wouldn't be useful if you couldn't customize it when you are ready for it.
|
||||
|
||||
## Learn More
|
||||
|
||||
You can learn more in the [Create React App documentation](https://facebook.github.io/create-react-app/docs/getting-started).
|
||||
|
||||
To learn React, check out the [React documentation](https://reactjs.org/).
|
||||
|
||||
### Code Splitting
|
||||
|
||||
This section has moved here: [https://facebook.github.io/create-react-app/docs/code-splitting](https://facebook.github.io/create-react-app/docs/code-splitting)
|
||||
|
||||
### Analyzing the Bundle Size
|
||||
|
||||
This section has moved here: [https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size](https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size)
|
||||
|
||||
### Making a Progressive Web App
|
||||
|
||||
This section has moved here: [https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app](https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app)
|
||||
|
||||
### Advanced Configuration
|
||||
|
||||
This section has moved here: [https://facebook.github.io/create-react-app/docs/advanced-configuration](https://facebook.github.io/create-react-app/docs/advanced-configuration)
|
||||
|
||||
### Deployment
|
||||
|
||||
This section has moved here: [https://facebook.github.io/create-react-app/docs/deployment](https://facebook.github.io/create-react-app/docs/deployment)
|
||||
|
||||
### `npm run build` fails to minify
|
||||
|
||||
This section has moved here: [https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify](https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify)
|
||||
File diff suppressed because it is too large
Load Diff
@ -1,53 +0,0 @@
|
||||
{
|
||||
"name": "relog-web",
|
||||
"version": "0.1.0",
|
||||
"private": true,
|
||||
"homepage": "/",
|
||||
"jest": {
|
||||
"moduleNameMapper": {
|
||||
"d3": "<rootDir>/node_modules/d3/dist/d3.min.js"
|
||||
}
|
||||
},
|
||||
"dependencies": {
|
||||
"@testing-library/jest-dom": "^5.16.2",
|
||||
"@testing-library/react": "^12.1.4",
|
||||
"@testing-library/user-event": "^13.5.0",
|
||||
"ajv": "^8.11.0",
|
||||
"d3": "^5.16.0",
|
||||
"d3-array": "^2.12.1",
|
||||
"dagre": "^0.8.5",
|
||||
"idb": "^6.1.5",
|
||||
"jsep": "^1.3.8",
|
||||
"leaflet": "^1.8.0",
|
||||
"react": "^17.0.2",
|
||||
"react-dom": "^17.0.2",
|
||||
"react-flow-renderer": "^9.7.4",
|
||||
"react-router-dom": "^5.3.3",
|
||||
"react-scripts": "5.0.0",
|
||||
"web-vitals": "^2.1.4"
|
||||
},
|
||||
"scripts": {
|
||||
"start": "react-scripts start",
|
||||
"build": "react-scripts build",
|
||||
"test": "react-scripts test",
|
||||
"eject": "react-scripts eject"
|
||||
},
|
||||
"eslintConfig": {
|
||||
"extends": [
|
||||
"react-app",
|
||||
"react-app/jest"
|
||||
]
|
||||
},
|
||||
"browserslist": {
|
||||
"production": [
|
||||
">0.2%",
|
||||
"not dead",
|
||||
"not op_mini all"
|
||||
],
|
||||
"development": [
|
||||
"last 1 chrome version",
|
||||
"last 1 firefox version",
|
||||
"last 1 safari version"
|
||||
]
|
||||
}
|
||||
}
|
||||
@ -1,13 +0,0 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="utf-8" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1" />
|
||||
<title>RELOG</title>
|
||||
</head>
|
||||
|
||||
<body>
|
||||
<noscript>You need to enable JavaScript to run this app.</noscript>
|
||||
<div id="root"></div>
|
||||
</body>
|
||||
</html>
|
||||
@ -1,424 +0,0 @@
|
||||
import { openDB } from "idb";
|
||||
import React, { useEffect, useRef, useState } from "react";
|
||||
import Button from "../common/Button";
|
||||
import Footer from "../common/Footer";
|
||||
import Header from "../common/Header";
|
||||
import "../index.css";
|
||||
import { generateFile } from "./csv";
|
||||
import { defaultData, defaultPlant, defaultProduct } from "./defaults";
|
||||
import { exportData, importData } from "./export";
|
||||
import ParametersBlock from "./ParametersBlock";
|
||||
import PipelineBlock, { randomPosition } from "./PipelineBlock";
|
||||
import PlantBlock from "./PlantBlock";
|
||||
import ProductBlock from "./ProductBlock";
|
||||
import { validate } from "./validate";
|
||||
import { useHistory } from "react-router-dom";
|
||||
import { SERVER_URL } from "..";
|
||||
|
||||
const setDefaults = (actualDict, defaultDict) => {
|
||||
for (const [key, defaultValue] of Object.entries(defaultDict)) {
|
||||
if (!(key in actualDict)) {
|
||||
if (typeof defaultValue === "object") {
|
||||
actualDict[key] = { ...defaultValue };
|
||||
} else {
|
||||
actualDict[key] = defaultValue;
|
||||
}
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
const cleanDict = (dict, defaultDict) => {
|
||||
for (const key of Object.keys(dict)) {
|
||||
if (!(key in defaultDict)) {
|
||||
delete dict[key];
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
const fixLists = (dict, blacklist, stringify) => {
|
||||
for (const [key, val] of Object.entries(dict)) {
|
||||
if (blacklist.includes(key)) continue;
|
||||
if (Array.isArray(val)) {
|
||||
// Replace constant lists by a single number
|
||||
let isConstant = true;
|
||||
for (let i = 1; i < val.length; i++) {
|
||||
if (val[i - 1] !== val[i]) {
|
||||
isConstant = false;
|
||||
break;
|
||||
}
|
||||
}
|
||||
if (isConstant) dict[key] = val[0];
|
||||
|
||||
// Convert lists to JSON strings
|
||||
if (stringify) dict[key] = JSON.stringify(dict[key]);
|
||||
}
|
||||
if (typeof val === "object") {
|
||||
fixLists(val, blacklist, stringify);
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
const openRelogDB = async () => {
|
||||
const dbPromise = await openDB("RELOG", 1, {
|
||||
upgrade(db) {
|
||||
db.createObjectStore("casebuilder");
|
||||
},
|
||||
});
|
||||
return dbPromise;
|
||||
};
|
||||
|
||||
const InputPage = () => {
|
||||
const fileElem = useRef();
|
||||
let [data, setData] = useState(defaultData);
|
||||
let [messages, setMessages] = useState([]);
|
||||
let [processing, setProcessing] = useState(false);
|
||||
|
||||
const save = async (data) => {
|
||||
const db = await openRelogDB();
|
||||
await db.put("casebuilder", data, "data");
|
||||
};
|
||||
|
||||
useEffect(async () => {
|
||||
const db = await openRelogDB();
|
||||
const data = await db.get("casebuilder", "data");
|
||||
if (data) setData(data);
|
||||
}, []);
|
||||
|
||||
const history = useHistory();
|
||||
|
||||
const promptName = (prevData) => {
|
||||
const name = prompt("Name");
|
||||
if (!name || name.length === 0) return;
|
||||
if (name in prevData.products || name in prevData.plants) return;
|
||||
return name;
|
||||
};
|
||||
|
||||
const onAddPlant = () => {
|
||||
setData((prevData) => {
|
||||
const name = promptName(prevData);
|
||||
if (name === undefined) return prevData;
|
||||
const newData = { ...prevData };
|
||||
const [x, y] = randomPosition();
|
||||
newData.plants[name] = {
|
||||
...defaultPlant,
|
||||
x: x,
|
||||
y: y,
|
||||
};
|
||||
save(newData);
|
||||
return newData;
|
||||
});
|
||||
};
|
||||
|
||||
const onAddProduct = () => {
|
||||
setData((prevData) => {
|
||||
const name = promptName(prevData);
|
||||
if (name === undefined) return prevData;
|
||||
const newData = { ...prevData };
|
||||
const [x, y] = randomPosition();
|
||||
console.log(x, y);
|
||||
newData.products[name] = {
|
||||
...defaultProduct,
|
||||
x: x,
|
||||
y: y,
|
||||
};
|
||||
save(newData);
|
||||
return newData;
|
||||
});
|
||||
};
|
||||
|
||||
const onRenamePlant = (prevName, newName) => {
|
||||
setData((prevData) => {
|
||||
const newData = { ...prevData };
|
||||
newData.plants[newName] = newData.plants[prevName];
|
||||
delete newData.plants[prevName];
|
||||
save(newData);
|
||||
return newData;
|
||||
});
|
||||
};
|
||||
|
||||
const onRenameProduct = (prevName, newName) => {
|
||||
setData((prevData) => {
|
||||
const newData = { ...prevData };
|
||||
newData.products[newName] = newData.products[prevName];
|
||||
delete newData.products[prevName];
|
||||
for (const [, plant] of Object.entries(newData.plants)) {
|
||||
if (plant.input === prevName) {
|
||||
plant.input = newName;
|
||||
}
|
||||
let outputFound = false;
|
||||
for (const [outputName] of Object.entries(
|
||||
plant["outputs (tonne/tonne)"]
|
||||
)) {
|
||||
if (outputName === prevName) outputFound = true;
|
||||
}
|
||||
if (outputFound) {
|
||||
plant["outputs (tonne/tonne)"][newName] =
|
||||
plant["outputs (tonne/tonne)"][prevName];
|
||||
delete plant["outputs (tonne/tonne)"][prevName];
|
||||
}
|
||||
}
|
||||
save(newData);
|
||||
return newData;
|
||||
});
|
||||
};
|
||||
|
||||
const onMovePlant = (plantName, x, y) => {
|
||||
setData((prevData) => {
|
||||
const newData = { ...prevData };
|
||||
newData.plants[plantName].x = x;
|
||||
newData.plants[plantName].y = y;
|
||||
save(newData);
|
||||
return newData;
|
||||
});
|
||||
};
|
||||
|
||||
const onMoveProduct = (productName, x, y) => {
|
||||
setData((prevData) => {
|
||||
const newData = { ...prevData };
|
||||
newData.products[productName].x = x;
|
||||
newData.products[productName].y = y;
|
||||
save(newData);
|
||||
return newData;
|
||||
});
|
||||
};
|
||||
|
||||
const onRemovePlant = (plantName) => {
|
||||
setData((prevData) => {
|
||||
const newData = { ...prevData };
|
||||
delete newData.plants[plantName];
|
||||
save(newData);
|
||||
return newData;
|
||||
});
|
||||
};
|
||||
|
||||
const onRemoveProduct = (productName) => {
|
||||
setData((prevData) => {
|
||||
const newData = { ...prevData };
|
||||
delete newData.products[productName];
|
||||
for (const [, plant] of Object.entries(newData.plants)) {
|
||||
if (plant.input === productName) {
|
||||
delete plant.input;
|
||||
}
|
||||
let outputFound = false;
|
||||
for (const [outputName] of Object.entries(
|
||||
plant["outputs (tonne/tonne)"]
|
||||
)) {
|
||||
if (outputName === productName) outputFound = true;
|
||||
}
|
||||
if (outputFound) {
|
||||
delete plant["outputs (tonne/tonne)"][productName];
|
||||
delete plant["disposal cost ($/tonne)"][productName];
|
||||
delete plant["disposal limit (tonne)"][productName];
|
||||
}
|
||||
}
|
||||
save(newData);
|
||||
return newData;
|
||||
});
|
||||
};
|
||||
|
||||
const onSetPlantInput = (plantName, productName) => {
|
||||
setData((prevData) => {
|
||||
const newData = { ...prevData };
|
||||
newData.plants[plantName].input = productName;
|
||||
save(newData);
|
||||
return newData;
|
||||
});
|
||||
};
|
||||
|
||||
const onAddPlantOutput = (plantName, productName) => {
|
||||
setData((prevData) => {
|
||||
if (productName in prevData.plants[plantName]["outputs (tonne/tonne)"]) {
|
||||
return prevData;
|
||||
}
|
||||
const newData = { ...prevData };
|
||||
[
|
||||
"outputs (tonne/tonne)",
|
||||
"disposal cost ($/tonne)",
|
||||
"disposal limit (tonne)",
|
||||
].forEach((key) => {
|
||||
newData.plants[plantName][key] = { ...newData.plants[plantName][key] };
|
||||
newData.plants[plantName][key][productName] = "0";
|
||||
});
|
||||
save(newData);
|
||||
return newData;
|
||||
});
|
||||
};
|
||||
|
||||
const onSave = () => {
|
||||
const exported = exportData(data);
|
||||
const valid = validate(exported);
|
||||
console.log(exported);
|
||||
console.log(validate.errors);
|
||||
if (valid) {
|
||||
generateFile("case.json", JSON.stringify(exported, null, 2));
|
||||
} else {
|
||||
setMessages([
|
||||
...messages,
|
||||
"Data has validation errors and could not be saved.",
|
||||
]);
|
||||
}
|
||||
};
|
||||
|
||||
const onClear = () => {
|
||||
const newData = JSON.parse(JSON.stringify(defaultData));
|
||||
setData(newData);
|
||||
save(newData);
|
||||
};
|
||||
|
||||
const onLoad = (contents) => {
|
||||
const parsed = JSON.parse(contents);
|
||||
const valid = validate(parsed);
|
||||
if (valid) {
|
||||
let newData = null;
|
||||
if (parsed["case builder"]) {
|
||||
newData = parsed["case builder"];
|
||||
} else {
|
||||
newData = importData(parsed);
|
||||
}
|
||||
setData(newData);
|
||||
save(newData);
|
||||
} else {
|
||||
console.log(validate.errors);
|
||||
setMessages([...messages, "File is corrupted and could not be loaded."]);
|
||||
}
|
||||
};
|
||||
|
||||
const onDismissMessage = (idx) => {
|
||||
setMessages([...messages.slice(0, idx), ...messages.slice(idx + 1)]);
|
||||
};
|
||||
|
||||
const onChange = (val, field1, field2) => {
|
||||
setData((prevData) => {
|
||||
const newData = { ...prevData };
|
||||
if (field2 !== undefined) {
|
||||
newData[field1][field2] = val;
|
||||
} else {
|
||||
newData[field1] = val;
|
||||
}
|
||||
save(newData);
|
||||
return newData;
|
||||
});
|
||||
};
|
||||
let productComps = [];
|
||||
for (const [prodName, prod] of Object.entries(data.products)) {
|
||||
productComps.push(
|
||||
<ProductBlock
|
||||
key={prodName}
|
||||
name={prodName}
|
||||
value={prod}
|
||||
onChange={(v) => onChange(v, "products", prodName, v)}
|
||||
/>
|
||||
);
|
||||
}
|
||||
|
||||
const onSubmit = async () => {
|
||||
const exported = exportData(data);
|
||||
const valid = validate(exported);
|
||||
if (valid) {
|
||||
setProcessing(true);
|
||||
try {
|
||||
const response = await fetch(`${SERVER_URL}/submit`, {
|
||||
method: "POST",
|
||||
body: JSON.stringify(exported),
|
||||
});
|
||||
if (response.ok) {
|
||||
const data = await response.json();
|
||||
history.push(`solver/${data.job_id}`);
|
||||
} else {
|
||||
throw "Error";
|
||||
}
|
||||
} catch {
|
||||
setMessages([
|
||||
...messages,
|
||||
"Failed to submit job. Please try again later.",
|
||||
]);
|
||||
} finally {
|
||||
setProcessing(false);
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
let plantComps = [];
|
||||
for (const [plantName, plant] of Object.entries(data.plants)) {
|
||||
plantComps.push(
|
||||
<PlantBlock
|
||||
key={plantName}
|
||||
name={plantName}
|
||||
value={plant}
|
||||
onChange={(v) => onChange(v, "plants", plantName)}
|
||||
/>
|
||||
);
|
||||
}
|
||||
|
||||
let messageComps = [];
|
||||
for (let i = 0; i < messages.length; i++) {
|
||||
messageComps.push(
|
||||
<div className="message error" key={i}>
|
||||
<p>{messages[i]}</p>
|
||||
<Button label="Dismiss" onClick={() => onDismissMessage(i)} />
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
const onFileSelected = () => {
|
||||
const file = fileElem.current.files[0];
|
||||
if (file) {
|
||||
const reader = new FileReader();
|
||||
reader.addEventListener("load", () => {
|
||||
onLoad(reader.result);
|
||||
});
|
||||
reader.readAsText(file);
|
||||
}
|
||||
fileElem.current.value = "";
|
||||
};
|
||||
|
||||
return (
|
||||
<>
|
||||
<Header title="Case Builder">
|
||||
<Button label="Clear" disabled={processing} onClick={onClear} />
|
||||
<Button
|
||||
label="Load"
|
||||
disabled={processing}
|
||||
onClick={(e) => fileElem.current.click()}
|
||||
/>
|
||||
<Button label="Save" disabled={processing} onClick={onSave} />
|
||||
<Button label="Submit" disabled={processing} onClick={onSubmit} />
|
||||
<input
|
||||
type="file"
|
||||
ref={fileElem}
|
||||
accept=".json"
|
||||
style={{ display: "none" }}
|
||||
onChange={onFileSelected}
|
||||
/>
|
||||
</Header>
|
||||
<div id="contentBackground">
|
||||
<div id="content">
|
||||
<PipelineBlock
|
||||
onAddPlant={onAddPlant}
|
||||
onAddPlantOutput={onAddPlantOutput}
|
||||
onAddProduct={onAddProduct}
|
||||
onMovePlant={onMovePlant}
|
||||
onMoveProduct={onMoveProduct}
|
||||
onRenamePlant={onRenamePlant}
|
||||
onRenameProduct={onRenameProduct}
|
||||
onSetPlantInput={onSetPlantInput}
|
||||
onRemovePlant={onRemovePlant}
|
||||
onRemoveProduct={onRemoveProduct}
|
||||
plants={data.plants}
|
||||
products={data.products}
|
||||
/>
|
||||
<ParametersBlock
|
||||
value={data.parameters}
|
||||
onChange={(v) => onChange(v, "parameters")}
|
||||
/>
|
||||
{productComps}
|
||||
{plantComps}
|
||||
</div>
|
||||
</div>
|
||||
<div id="messageTray">{messageComps}</div>
|
||||
<Footer />
|
||||
</>
|
||||
);
|
||||
};
|
||||
|
||||
export default InputPage;
|
||||
@ -1,53 +0,0 @@
|
||||
import Section from "../common/Section";
|
||||
import Card from "../common/Card";
|
||||
import Form from "../common/Form";
|
||||
import TextInputRow from "../common/TextInputRow";
|
||||
|
||||
const ParametersBlock = (props) => {
|
||||
const onChangeField = (field, val) => {
|
||||
props.value[field] = val;
|
||||
props.onChange(props.value);
|
||||
};
|
||||
return (
|
||||
<>
|
||||
<Section title="Parameters" />
|
||||
<Card>
|
||||
<Form>
|
||||
<TextInputRow
|
||||
label="Time horizon"
|
||||
unit="years"
|
||||
tooltip="Number of years in the simulation."
|
||||
value={props.value["time horizon (years)"]}
|
||||
onChange={(v) => onChangeField("time horizon (years)", v)}
|
||||
validate="int"
|
||||
/>
|
||||
<TextInputRow
|
||||
label="Building period"
|
||||
unit="years"
|
||||
tooltip="List of years in which we are allowed to open new plants. For example, if this parameter is set to [1,2,3], we can only open plants during the first three years. By default, this equals [1]; that is, plants can only be opened during the first year."
|
||||
value={props.value["building period (years)"]}
|
||||
onChange={(v) => onChangeField("building period (years)", v)}
|
||||
validate="intList"
|
||||
/>
|
||||
<TextInputRow
|
||||
label="Inflation rate"
|
||||
unit="%"
|
||||
tooltip="Rate at which costs change from one time period to the next. This is applied uniformly to all costs."
|
||||
value={props.value["inflation rate (%)"]}
|
||||
onChange={(v) => onChangeField("inflation rate (%)", v)}
|
||||
validate="float"
|
||||
/>
|
||||
<TextInputRow
|
||||
label="Distance metric"
|
||||
tooltip="Metric used to compute distances between pairs of locations. Valid options are: 'Euclidean', for the straight-line distance between points; or 'driving' for an approximated driving distance."
|
||||
value={props.value["distance metric"]}
|
||||
onChange={(v) => onChangeField("distance metric", v)}
|
||||
default="Euclidean"
|
||||
/>
|
||||
</Form>
|
||||
</Card>
|
||||
</>
|
||||
);
|
||||
};
|
||||
|
||||
export default ParametersBlock;
|
||||
@ -1,200 +0,0 @@
|
||||
import React, { useEffect } from "react";
|
||||
import ReactFlow, { Background, isNode, Controls } from "react-flow-renderer";
|
||||
import Section from "../common/Section";
|
||||
import Card from "../common/Card";
|
||||
import Button from "../common/Button";
|
||||
import styles from "./PipelineBlock.module.css";
|
||||
import dagre from "dagre";
|
||||
|
||||
window.nextX = 15;
|
||||
window.nextY = 15;
|
||||
|
||||
export const randomPosition = () => {
|
||||
window.nextY += 60;
|
||||
if (window.nextY >= 500) {
|
||||
window.nextY = 15;
|
||||
window.nextX += 150;
|
||||
}
|
||||
return [window.nextX, window.nextY];
|
||||
};
|
||||
|
||||
const getLayoutedElements = (elements) => {
|
||||
const nodeWidth = 125;
|
||||
const nodeHeight = 45;
|
||||
const dagreGraph = new dagre.graphlib.Graph();
|
||||
dagreGraph.setDefaultEdgeLabel(() => ({}));
|
||||
dagreGraph.setGraph({ rankdir: "LR" });
|
||||
elements.forEach((el) => {
|
||||
if (isNode(el)) {
|
||||
dagreGraph.setNode(el.id, { width: nodeWidth, height: nodeHeight });
|
||||
} else {
|
||||
dagreGraph.setEdge(el.source, el.target);
|
||||
}
|
||||
});
|
||||
dagre.layout(dagreGraph);
|
||||
return elements.map((el) => {
|
||||
if (isNode(el)) {
|
||||
const n = dagreGraph.node(el.id);
|
||||
el.position = {
|
||||
x: 15 + n.x - nodeWidth / 2,
|
||||
y: 15 + n.y - nodeHeight / 2,
|
||||
};
|
||||
}
|
||||
return el;
|
||||
});
|
||||
};
|
||||
|
||||
const PipelineBlock = (props) => {
|
||||
let elements = [];
|
||||
let mapNameToType = {};
|
||||
let hasNullPositions = false;
|
||||
|
||||
for (const [productName, product] of Object.entries(props.products)) {
|
||||
if (!product.x || !product.y) hasNullPositions = true;
|
||||
mapNameToType[productName] = "product";
|
||||
elements.push({
|
||||
id: productName,
|
||||
data: { label: productName, type: "product" },
|
||||
position: { x: product.x, y: product.y },
|
||||
sourcePosition: "right",
|
||||
targetPosition: "left",
|
||||
className: styles.ProductNode,
|
||||
});
|
||||
}
|
||||
|
||||
for (const [plantName, plant] of Object.entries(props.plants)) {
|
||||
if (!plant.x || !plant.y) hasNullPositions = true;
|
||||
mapNameToType[plantName] = "plant";
|
||||
elements.push({
|
||||
id: plantName,
|
||||
data: { label: plantName, type: "plant" },
|
||||
position: { x: plant.x, y: plant.y },
|
||||
sourcePosition: "right",
|
||||
targetPosition: "left",
|
||||
className: styles.PlantNode,
|
||||
});
|
||||
|
||||
if (plant.input !== undefined) {
|
||||
elements.push({
|
||||
id: `${plant.input}-${plantName}`,
|
||||
source: plant.input,
|
||||
target: plantName,
|
||||
animated: true,
|
||||
style: { stroke: "black" },
|
||||
selectable: false,
|
||||
});
|
||||
}
|
||||
|
||||
for (const [productName] of Object.entries(
|
||||
plant["outputs (tonne/tonne)"]
|
||||
)) {
|
||||
elements.push({
|
||||
id: `${plantName}-${productName}`,
|
||||
source: plantName,
|
||||
target: productName,
|
||||
animated: true,
|
||||
style: { stroke: "black" },
|
||||
selectable: false,
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
const onNodeDoubleClick = (ev, node) => {
|
||||
const oldName = node.data.label;
|
||||
const newName = window.prompt("Enter new name", oldName);
|
||||
if (newName === undefined || newName.length === 0) return;
|
||||
if (newName in mapNameToType) return;
|
||||
if (node.data.type === "plant") {
|
||||
props.onRenamePlant(oldName, newName);
|
||||
} else {
|
||||
props.onRenameProduct(oldName, newName);
|
||||
}
|
||||
};
|
||||
|
||||
const onElementsRemove = (elements) => {
|
||||
elements.forEach((el) => {
|
||||
if (!(el.id in mapNameToType)) return;
|
||||
if (el.data.type === "plant") {
|
||||
props.onRemovePlant(el.data.label);
|
||||
} else {
|
||||
props.onRemoveProduct(el.data.label);
|
||||
}
|
||||
});
|
||||
};
|
||||
|
||||
const onNodeDragStop = (ev, node) => {
|
||||
if (node.data.type === "plant") {
|
||||
props.onMovePlant(node.data.label, node.position.x, node.position.y);
|
||||
} else {
|
||||
props.onMoveProduct(node.data.label, node.position.x, node.position.y);
|
||||
}
|
||||
};
|
||||
|
||||
const onConnect = (args) => {
|
||||
const sourceType = mapNameToType[args.source];
|
||||
const targetType = mapNameToType[args.target];
|
||||
if (sourceType === "product" && targetType === "plant") {
|
||||
props.onSetPlantInput(args.target, args.source);
|
||||
} else if (sourceType === "plant" && targetType === "product") {
|
||||
props.onAddPlantOutput(args.source, args.target);
|
||||
}
|
||||
};
|
||||
|
||||
const onLayout = () => {
|
||||
const layoutedElements = getLayoutedElements(elements);
|
||||
layoutedElements.forEach((el) => {
|
||||
if (isNode(el)) {
|
||||
if (el.data.type === "plant") {
|
||||
props.onMovePlant(el.data.label, el.position.x, el.position.y);
|
||||
} else {
|
||||
props.onMoveProduct(el.data.label, el.position.x, el.position.y);
|
||||
}
|
||||
}
|
||||
});
|
||||
};
|
||||
|
||||
useEffect(() => {
|
||||
if (hasNullPositions) onLayout();
|
||||
}, [hasNullPositions]);
|
||||
|
||||
return (
|
||||
<>
|
||||
<Section title="Pipeline" />
|
||||
<Card>
|
||||
<div className={styles.PipelineBlock}>
|
||||
<ReactFlow
|
||||
elements={elements}
|
||||
onNodeDoubleClick={onNodeDoubleClick}
|
||||
onNodeDragStop={onNodeDragStop}
|
||||
onConnect={onConnect}
|
||||
onElementsRemove={onElementsRemove}
|
||||
deleteKeyCode={46}
|
||||
maxZoom={1.25}
|
||||
minZoom={0.5}
|
||||
snapToGrid={true}
|
||||
preventScrolling={false}
|
||||
>
|
||||
<Background />
|
||||
<Controls showInteractive={false} />
|
||||
</ReactFlow>
|
||||
</div>
|
||||
<div style={{ textAlign: "center" }}>
|
||||
<Button
|
||||
label="Add product"
|
||||
kind="inline"
|
||||
onClick={props.onAddProduct}
|
||||
/>
|
||||
<Button label="Add plant" kind="inline" onClick={props.onAddPlant} />
|
||||
<Button label="Auto Layout" kind="inline" onClick={onLayout} />
|
||||
<Button
|
||||
label="?"
|
||||
kind="inline"
|
||||
tooltip="Drag from one connector to another to create links between products and plants. Double click to rename an element. Click an element to select and move it. Press the [Delete] key to remove it."
|
||||
/>
|
||||
</div>
|
||||
</Card>
|
||||
</>
|
||||
);
|
||||
};
|
||||
|
||||
export default PipelineBlock;
|
||||
@ -1,25 +0,0 @@
|
||||
.PipelineBlock {
|
||||
height: 800px !important;
|
||||
border: 1px solid rgba(0, 0, 0, 0.1) !important;
|
||||
border-radius: var(--border-radius) !important;
|
||||
margin-bottom: 12px !important;
|
||||
}
|
||||
|
||||
.PlantNode,
|
||||
.ProductNode {
|
||||
border-color: rgba(0, 0, 0, 0.8) !important;
|
||||
color: black !important;
|
||||
font-size: 13px !important;
|
||||
border-width: 1px !important;
|
||||
border-radius: 6px !important;
|
||||
box-shadow: 0px 2px 4px -3px black !important;
|
||||
width: 100px !important;
|
||||
}
|
||||
|
||||
.PlantNode {
|
||||
background-color: #8d8 !important;
|
||||
}
|
||||
|
||||
.ProductNode {
|
||||
background-color: #e6e6e6 !important;
|
||||
}
|
||||
@ -1,257 +0,0 @@
|
||||
import Section from "../common/Section";
|
||||
import Card from "../common/Card";
|
||||
import Form from "../common/Form";
|
||||
import TextInputRow from "../common/TextInputRow";
|
||||
import FileInputRow from "../common/FileInputRow";
|
||||
import DictInputRow from "../common/DictInputRow";
|
||||
import { csvFormat, csvParse, generateFile } from "./csv";
|
||||
|
||||
const PlantBlock = (props) => {
|
||||
const onChange = (val, field1, field2, field3) => {
|
||||
const newPlant = { ...props.value };
|
||||
if (field3 !== undefined) {
|
||||
newPlant[field1][field2][field3] = val;
|
||||
} else if (field2 !== undefined) {
|
||||
newPlant[field1][field2] = val;
|
||||
} else {
|
||||
newPlant[field1] = val;
|
||||
}
|
||||
props.onChange(newPlant);
|
||||
};
|
||||
|
||||
const onCandidateLocationsTemplate = () => {
|
||||
generateFile(
|
||||
"Candidate locations - Template.csv",
|
||||
csvFormat([
|
||||
{
|
||||
name: "Washakie County",
|
||||
"latitude (deg)": "43.8356",
|
||||
"longitude (deg)": "-107.6602",
|
||||
"initial capacity (tonne)": "0",
|
||||
"area cost factor": "0.88",
|
||||
},
|
||||
{
|
||||
name: "Platte County",
|
||||
"latitude (deg)": "42.1314",
|
||||
"longitude (deg)": "-104.9676",
|
||||
"initial capacity (tonne)": "0",
|
||||
"area cost factor": "1.29",
|
||||
},
|
||||
{
|
||||
name: "Park County",
|
||||
"latitude (deg)": "44.4063",
|
||||
"longitude (deg)": "-109.4153",
|
||||
"initial capacity (tonne)": "0",
|
||||
"area cost factor": "0.99",
|
||||
},
|
||||
{
|
||||
name: "Goshen County",
|
||||
"latitude (deg)": "42.0853",
|
||||
"longitude (deg)": "-104.3534",
|
||||
"initial capacity (tonne)": "0",
|
||||
"area cost factor": "1",
|
||||
},
|
||||
])
|
||||
);
|
||||
};
|
||||
|
||||
const onCandidateLocationsFile = (contents) => {
|
||||
const data = csvParse({
|
||||
contents: contents,
|
||||
requiredCols: [
|
||||
"name",
|
||||
"latitude (deg)",
|
||||
"longitude (deg)",
|
||||
"area cost factor",
|
||||
"initial capacity (tonne)",
|
||||
],
|
||||
});
|
||||
const result = {};
|
||||
data.forEach((el) => {
|
||||
let { name, ...props } = el;
|
||||
result[name] = props;
|
||||
});
|
||||
onChange(result, "locations");
|
||||
};
|
||||
|
||||
const onCandidateLocationsDownload = () => {
|
||||
const result = [];
|
||||
for (const [locationName, locationDict] of Object.entries(
|
||||
props.value["locations"]
|
||||
)) {
|
||||
result.push({
|
||||
name: locationName,
|
||||
...locationDict,
|
||||
});
|
||||
}
|
||||
generateFile(`Candidate locations - ${props.name}.csv`, csvFormat(result));
|
||||
};
|
||||
|
||||
const onCandidateLocationsClear = () => {
|
||||
onChange({}, "locations");
|
||||
};
|
||||
|
||||
let description = "No locations set";
|
||||
const nCenters = Object.keys(props.value["locations"]).length;
|
||||
if (nCenters > 0) description = `${nCenters} locations`;
|
||||
|
||||
const shouldDisableMaxCap =
|
||||
props.value["minimum capacity (tonne)"] ===
|
||||
props.value["maximum capacity (tonne)"];
|
||||
|
||||
return (
|
||||
<>
|
||||
<Section title={props.name} />
|
||||
<Card>
|
||||
<Form>
|
||||
<h1>General information</h1>
|
||||
<FileInputRow
|
||||
label="Candidate locations"
|
||||
tooltip="A table describing potential locations where plants can be built and their characteristics."
|
||||
onTemplate={onCandidateLocationsTemplate}
|
||||
onFile={onCandidateLocationsFile}
|
||||
onDownload={onCandidateLocationsDownload}
|
||||
onClear={onCandidateLocationsClear}
|
||||
value={description}
|
||||
/>
|
||||
|
||||
<h1>Inputs & Outputs</h1>
|
||||
<TextInputRow
|
||||
label="Input"
|
||||
tooltip="The name of the product that this plant takes as input."
|
||||
disabled="disabled"
|
||||
value={props.value["input"]}
|
||||
/>
|
||||
<DictInputRow
|
||||
label="Outputs"
|
||||
unit="tonne/tonne"
|
||||
tooltip="A dictionary specifying how many tonnes of each product is produced for each tonne of input."
|
||||
value={props.value["outputs (tonne/tonne)"]}
|
||||
onChange={(v) => onChange(v, "outputs (tonne/tonne)")}
|
||||
disableKeys={true}
|
||||
/>
|
||||
|
||||
<h1>Capacity & Costs</h1>
|
||||
<TextInputRow
|
||||
label="Minimum capacity"
|
||||
unit="tonne"
|
||||
tooltip="The minimum size of the plant."
|
||||
value={props.value["minimum capacity (tonne)"]}
|
||||
onChange={(v) => onChange(v, "minimum capacity (tonne)")}
|
||||
/>
|
||||
<TextInputRow
|
||||
label="Opening cost (min capacity)"
|
||||
unit="$"
|
||||
tooltip="The cost to open the plant at minimum capacity."
|
||||
value={props.value["opening cost (min capacity) ($)"]}
|
||||
onChange={(v) => onChange(v, "opening cost (min capacity) ($)")}
|
||||
/>
|
||||
<TextInputRow
|
||||
label="Fixed operating cost (min capacity)"
|
||||
unit="$"
|
||||
tooltip="The cost to keep the plant open, even if the plant doesn't process anything."
|
||||
value={props.value["fixed operating cost (min capacity) ($)"]}
|
||||
onChange={(v) =>
|
||||
onChange(v, "fixed operating cost (min capacity) ($)")
|
||||
}
|
||||
/>
|
||||
<TextInputRow
|
||||
label="Maximum capacity"
|
||||
unit="tonne"
|
||||
tooltip="The maximum size of the plant."
|
||||
value={props.value["maximum capacity (tonne)"]}
|
||||
onChange={(v) => onChange(v, "maximum capacity (tonne)")}
|
||||
/>
|
||||
<TextInputRow
|
||||
label="Opening cost (max capacity)"
|
||||
unit="$"
|
||||
tooltip="The cost to open a plant of this size."
|
||||
value={
|
||||
shouldDisableMaxCap
|
||||
? ""
|
||||
: props.value["opening cost (max capacity) ($)"]
|
||||
}
|
||||
onChange={(v) => onChange(v, "opening cost (max capacity) ($)")}
|
||||
disabled={shouldDisableMaxCap}
|
||||
/>
|
||||
<TextInputRow
|
||||
label="Fixed operating cost (max capacity)"
|
||||
unit="$"
|
||||
tooltip="The cost to keep the plant open, even if the plant doesn't process anything."
|
||||
value={
|
||||
shouldDisableMaxCap
|
||||
? ""
|
||||
: props.value["fixed operating cost (max capacity) ($)"]
|
||||
}
|
||||
onChange={(v) =>
|
||||
onChange(v, "fixed operating cost (max capacity) ($)")
|
||||
}
|
||||
disabled={shouldDisableMaxCap}
|
||||
/>
|
||||
<TextInputRow
|
||||
label="Variable operating cost"
|
||||
unit="$/tonne"
|
||||
tooltip="The cost that the plant incurs to process each tonne of input."
|
||||
value={props.value["variable operating cost ($/tonne)"]}
|
||||
onChange={(v) => onChange(v, "variable operating cost ($/tonne)")}
|
||||
/>
|
||||
<TextInputRow
|
||||
label="Energy expenditure"
|
||||
unit="GJ/tonne"
|
||||
tooltip="The energy required to process one tonne of the input."
|
||||
value={props.value["energy (GJ/tonne)"]}
|
||||
onChange={(v) => onChange(v, "energy (GJ/tonne)")}
|
||||
/>
|
||||
|
||||
<h1>Storage</h1>
|
||||
<TextInputRow
|
||||
label="Storage cost"
|
||||
unit="$/tonne"
|
||||
tooltip="The cost to store a tonne of input product for one time period."
|
||||
value={props.value["storage"]["cost ($/tonne)"]}
|
||||
onChange={(v) => onChange(v, "storage", "cost ($/tonne)")}
|
||||
/>
|
||||
<TextInputRow
|
||||
label="Storage limit"
|
||||
unit="tonne"
|
||||
tooltip="The maximum amount of input product this plant can have in storage at any given time."
|
||||
value={props.value["storage"]["limit (tonne)"]}
|
||||
onChange={(v) => onChange(v, "storage", "limit (tonne)")}
|
||||
/>
|
||||
|
||||
<h1>Disposal</h1>
|
||||
<DictInputRow
|
||||
label="Disposal cost"
|
||||
unit="$/tonne"
|
||||
tooltip="The cost to dispose of the product."
|
||||
value={props.value["disposal cost ($/tonne)"]}
|
||||
onChange={(v) => onChange(v, "disposal cost ($/tonne)")}
|
||||
disableKeys={true}
|
||||
/>
|
||||
<DictInputRow
|
||||
label="Disposal limit"
|
||||
unit="tonne"
|
||||
tooltip="The maximum amount that can be disposed of. If an unlimited amount can be disposed, leave blank."
|
||||
value={props.value["disposal limit (tonne)"]}
|
||||
onChange={(v) => onChange(v, "disposal limit (tonne)")}
|
||||
disableKeys={true}
|
||||
valuePlaceholder="Unlimited"
|
||||
/>
|
||||
|
||||
<h1>Emissions</h1>
|
||||
<DictInputRow
|
||||
label="Emissions"
|
||||
unit="tonne/tonne"
|
||||
tooltip="A dictionary mapping the name of each greenhouse gas, produced to process each tonne of input, to the amount of gas produced (in tonne)."
|
||||
value={props.value["emissions (tonne/tonne)"]}
|
||||
onChange={(v) => onChange(v, "emissions (tonne/tonne)")}
|
||||
keyPlaceholder="Emission name"
|
||||
valuePlaceholder="0"
|
||||
/>
|
||||
</Form>
|
||||
</Card>
|
||||
</>
|
||||
);
|
||||
};
|
||||
|
||||
export default PlantBlock;
|
||||
@ -1,195 +0,0 @@
|
||||
import Section from "../common/Section";
|
||||
import Card from "../common/Card";
|
||||
import Form from "../common/Form";
|
||||
import TextInputRow from "../common/TextInputRow";
|
||||
import FileInputRow from "../common/FileInputRow";
|
||||
import DictInputRow from "../common/DictInputRow";
|
||||
import { csvParse, extractNumericColumns, generateFile } from "./csv";
|
||||
import { csvFormat } from "d3";
|
||||
|
||||
const ProductBlock = (props) => {
|
||||
const onChange = (field, val) => {
|
||||
const newProduct = { ...props.value };
|
||||
newProduct[field] = val;
|
||||
props.onChange(newProduct);
|
||||
};
|
||||
|
||||
const onInitialAmountsFile = (contents) => {
|
||||
const data = csvParse({
|
||||
contents: contents,
|
||||
requiredCols: ["latitude (deg)", "longitude (deg)", "name"],
|
||||
});
|
||||
const result = {};
|
||||
data.forEach((el) => {
|
||||
result[el["name"]] = {
|
||||
"latitude (deg)": el["latitude (deg)"],
|
||||
"longitude (deg)": el["longitude (deg)"],
|
||||
"amount (tonne)": extractNumericColumns(el, "amount"),
|
||||
};
|
||||
});
|
||||
onChange("initial amounts", result);
|
||||
};
|
||||
|
||||
const onInitialAmountsClear = () => {
|
||||
onChange("initial amounts", {});
|
||||
};
|
||||
|
||||
const onInitialAmountsTemplate = () => {
|
||||
generateFile(
|
||||
"Initial amounts - Template.csv",
|
||||
csvFormat([
|
||||
{
|
||||
name: "Washakie County",
|
||||
"latitude (deg)": "43.8356",
|
||||
"longitude (deg)": "-107.6602",
|
||||
"amount 1": "21902",
|
||||
"amount 2": "6160",
|
||||
"amount 3": "2721",
|
||||
"amount 4": "12917",
|
||||
"amount 5": "18048",
|
||||
},
|
||||
{
|
||||
name: "Platte County",
|
||||
"latitude (deg)": "42.1314",
|
||||
"longitude (deg)": "-104.9676",
|
||||
"amount 1": "16723",
|
||||
"amount 2": "8709",
|
||||
"amount 3": "22584",
|
||||
"amount 4": "12278",
|
||||
"amount 5": "7196",
|
||||
},
|
||||
{
|
||||
name: "Park County",
|
||||
"latitude (deg)": "44.4063",
|
||||
"longitude (deg)": "-109.4153",
|
||||
"amount 1": "14731",
|
||||
"amount 2": "11729",
|
||||
"amount 3": "15562",
|
||||
"amount 4": "7703",
|
||||
"amount 5": "23349",
|
||||
},
|
||||
])
|
||||
);
|
||||
};
|
||||
|
||||
const onInitialAmountsDownload = () => {
|
||||
const results = [];
|
||||
for (const [locationName, locationDict] of Object.entries(
|
||||
props.value["initial amounts"]
|
||||
)) {
|
||||
const row = {
|
||||
name: locationName,
|
||||
"latitude (deg)": locationDict["latitude (deg)"],
|
||||
"longitude (deg)": locationDict["longitude (deg)"],
|
||||
};
|
||||
locationDict["amount (tonne)"].forEach((el, idx) => {
|
||||
row[`amount ${idx + 1}`] = el;
|
||||
});
|
||||
results.push(row);
|
||||
}
|
||||
generateFile(`Initial amounts - ${props.name}.csv`, csvFormat(results));
|
||||
};
|
||||
|
||||
let description = "Not initially available";
|
||||
let notInitiallyAvailable = true;
|
||||
const nCenters = Object.keys(props.value["initial amounts"]).length;
|
||||
if (nCenters > 0) {
|
||||
description = `${nCenters} collection centers`;
|
||||
notInitiallyAvailable = false;
|
||||
}
|
||||
|
||||
return (
|
||||
<>
|
||||
<Section title={props.name} />
|
||||
<Card>
|
||||
<Form>
|
||||
<h1>General Information</h1>
|
||||
<FileInputRow
|
||||
value={description}
|
||||
label="Initial amounts"
|
||||
tooltip="A table indicating the amount of this product initially available at each collection center."
|
||||
accept=".csv"
|
||||
onFile={onInitialAmountsFile}
|
||||
onDownload={onInitialAmountsDownload}
|
||||
onClear={onInitialAmountsClear}
|
||||
onTemplate={onInitialAmountsTemplate}
|
||||
disableDownload={notInitiallyAvailable}
|
||||
disableClear={notInitiallyAvailable}
|
||||
/>
|
||||
|
||||
<h1 style={{ display: nCenters == 0 ? "none" : "block" }}>
|
||||
Acquisition & disposal
|
||||
</h1>
|
||||
<div style={{ display: nCenters == 0 ? "none" : "block" }}>
|
||||
<TextInputRow
|
||||
label="Acquisition cost"
|
||||
unit="$/tonne"
|
||||
tooltip="Cost of acquiring one tonne of this product at a collection center."
|
||||
value={props.value["acquisition cost ($/tonne)"]}
|
||||
onChange={(v) => onChange("acquisition cost ($/tonne)", v)}
|
||||
validate="floatList"
|
||||
/>
|
||||
<TextInputRow
|
||||
label="Disposal cost"
|
||||
unit="$/tonne"
|
||||
tooltip="The cost to dispose of one tonne of this product at a collection center, without further processing."
|
||||
value={props.value["disposal cost ($/tonne)"]}
|
||||
onChange={(v) => onChange("disposal cost ($/tonne)", v)}
|
||||
validate="floatList"
|
||||
/>
|
||||
<TextInputRow
|
||||
label="Disposal limit"
|
||||
unit="tonne"
|
||||
tooltip="The maximum amount (in tonnes) of this product that can be disposed of across all collection centers, without further processing."
|
||||
value={props.value["disposal limit (tonne)"]}
|
||||
onChange={(v) => onChange("disposal limit (tonne)", v)}
|
||||
validate="floatList"
|
||||
disabled={String(props.value["disposal limit (%)"]).length > 0}
|
||||
/>
|
||||
|
||||
<TextInputRow
|
||||
label="Disposal limit"
|
||||
unit="%"
|
||||
tooltip="The maximum amount of this product that can be disposed of across all collection centers, without further processing, as a percentage of the total amount available."
|
||||
value={props.value["disposal limit (%)"]}
|
||||
onChange={(v) => onChange("disposal limit (%)", v)}
|
||||
validate="floatList"
|
||||
disabled={props.value["disposal limit (tonne)"].length > 0}
|
||||
/>
|
||||
</div>
|
||||
|
||||
<h1>Transportation</h1>
|
||||
<TextInputRow
|
||||
label="Transportation cost"
|
||||
unit="$/km/tonne"
|
||||
tooltip="The cost to transport this product."
|
||||
value={props.value["transportation cost ($/km/tonne)"]}
|
||||
onChange={(v) => onChange("transportation cost ($/km/tonne)", v)}
|
||||
validate="floatList"
|
||||
/>
|
||||
<TextInputRow
|
||||
label="Transportation energy"
|
||||
unit="J/km/tonne"
|
||||
tooltip="The energy required to transport this product."
|
||||
value={props.value["transportation energy (J/km/tonne)"]}
|
||||
onChange={(v) => onChange("transportation energy (J/km/tonne)", v)}
|
||||
validate="floatList"
|
||||
/>
|
||||
<DictInputRow
|
||||
label="Transportation emissions"
|
||||
unit="tonne/km/tonne"
|
||||
tooltip="A dictionary mapping the name of each greenhouse gas, produced to transport one tonne of this product along one kilometer, to the amount of gas produced."
|
||||
keyPlaceholder="Emission name"
|
||||
value={props.value["transportation emissions (tonne/km/tonne)"]}
|
||||
onChange={(v) =>
|
||||
onChange("transportation emissions (tonne/km/tonne)", v)
|
||||
}
|
||||
validate="floatList"
|
||||
/>
|
||||
</Form>
|
||||
</Card>
|
||||
</>
|
||||
);
|
||||
};
|
||||
|
||||
export default ProductBlock;
|
||||
@ -1,50 +0,0 @@
|
||||
import * as d3 from "d3";
|
||||
|
||||
export const csvParse = ({ contents, requiredCols }) => {
|
||||
const data = d3.csvParse(contents, d3.autoType);
|
||||
requiredCols.forEach((col) => {
|
||||
if (!(col in data[0])) {
|
||||
throw Error(`Column "${col}" not found in CSV file.`);
|
||||
}
|
||||
});
|
||||
return data;
|
||||
};
|
||||
|
||||
export const parseCsv = (contents, requiredCols = []) => {
|
||||
const data = d3.csvParse(contents);
|
||||
const T = data.columns.length - requiredCols.length;
|
||||
let isValid = true;
|
||||
for (let t = 0; t < T; t++) {
|
||||
requiredCols.push(t + 1);
|
||||
}
|
||||
requiredCols.forEach((col) => {
|
||||
if (!(col in data[0])) {
|
||||
console.log(`Column "${col}" not found in CSV file.`);
|
||||
isValid = false;
|
||||
}
|
||||
});
|
||||
if (!isValid) return [undefined, undefined];
|
||||
return [data, T];
|
||||
};
|
||||
|
||||
export const extractNumericColumns = (obj, prefix) => {
|
||||
const result = [];
|
||||
for (let i = 1; `${prefix} ${i}` in obj; i++) {
|
||||
result.push(obj[`${prefix} ${i}`]);
|
||||
}
|
||||
return result;
|
||||
};
|
||||
|
||||
export const csvFormat = (data) => {
|
||||
return d3.csvFormat(data);
|
||||
};
|
||||
|
||||
export const generateFile = (filename, contents) => {
|
||||
var link = document.createElement("a");
|
||||
link.setAttribute("href", URL.createObjectURL(new Blob([contents])));
|
||||
link.setAttribute("download", filename);
|
||||
link.style.visibility = "hidden";
|
||||
document.body.appendChild(link);
|
||||
link.click();
|
||||
document.body.removeChild(link);
|
||||
};
|
||||
@ -1,53 +0,0 @@
|
||||
import { csvParse, extractNumericColumns, csvFormat } from "./csv";
|
||||
import { exportValue } from "./export";
|
||||
|
||||
test("parse CSV", () => {
|
||||
const contents = "name,location,1,2,3\ntest,illinois,100,200,300";
|
||||
const actual = csvParse({
|
||||
contents: contents,
|
||||
requiredCols: ["name", "location"],
|
||||
});
|
||||
expect(actual.length).toEqual(1);
|
||||
expect(actual[0]).toEqual({
|
||||
name: "test",
|
||||
location: "illinois",
|
||||
1: 100,
|
||||
2: 200,
|
||||
3: 300,
|
||||
});
|
||||
});
|
||||
|
||||
test("parse CSV with missing columns", () => {
|
||||
const contents = "name,location,1,2,3\ntest,illinois,100,200,300";
|
||||
expect(() =>
|
||||
csvParse({
|
||||
contents: contents,
|
||||
requiredCols: ["name", "location", "latitude"],
|
||||
})
|
||||
).toThrow('Column "latitude" not found in CSV file.');
|
||||
});
|
||||
|
||||
test("extract numeric columns from object", () => {
|
||||
const obj1 = {
|
||||
"amount 1": "hello",
|
||||
"amount 2": "world",
|
||||
"amount 4": "ignored",
|
||||
};
|
||||
const obj2 = { hello: "world" };
|
||||
expect(extractNumericColumns(obj1, "amount")).toEqual(["hello", "world"]);
|
||||
expect(extractNumericColumns(obj2, "amount")).toEqual([]);
|
||||
});
|
||||
|
||||
test("generate CSV", () => {
|
||||
const data = [
|
||||
{ name: "alice", age: 20 },
|
||||
{ name: "bob", age: null },
|
||||
];
|
||||
expect(csvFormat(data)).toEqual("name,age\nalice,20\nbob,");
|
||||
});
|
||||
|
||||
test("export value", () => {
|
||||
expect(exportValue("1")).toEqual(1);
|
||||
expect(exportValue("[1,2,3]")).toEqual([1, 2, 3]);
|
||||
// expect(exportValue("qwe")).toEqual("qwe");
|
||||
});
|
||||
@ -1,52 +0,0 @@
|
||||
export const defaultProduct = {
|
||||
"initial amounts": {},
|
||||
"acquisition cost ($/tonne)": "0",
|
||||
"disposal cost ($/tonne)": "0",
|
||||
"disposal limit (tonne)": "0",
|
||||
"disposal limit (%)": "",
|
||||
"transportation cost ($/km/tonne)": "0",
|
||||
"transportation energy (J/km/tonne)": "0",
|
||||
"transportation emissions (tonne/km/tonne)": {},
|
||||
x: 0,
|
||||
y: 0,
|
||||
};
|
||||
|
||||
export const defaultPlantLocation = {
|
||||
"area cost factor": 1.0,
|
||||
"initial capacity (tonne)": 0,
|
||||
"latitude (deg)": 0,
|
||||
"longitude (deg)": 0,
|
||||
};
|
||||
|
||||
export const defaultPlant = {
|
||||
locations: {},
|
||||
"outputs (tonne/tonne)": {},
|
||||
"disposal cost ($/tonne)": {},
|
||||
"disposal limit (tonne)": {},
|
||||
"emissions (tonne/tonne)": {},
|
||||
storage: {
|
||||
"cost ($/tonne)": "0",
|
||||
"limit (tonne)": "0",
|
||||
},
|
||||
"maximum capacity (tonne)": "0",
|
||||
"minimum capacity (tonne)": "0",
|
||||
"opening cost (max capacity) ($)": "0",
|
||||
"opening cost (min capacity) ($)": "0",
|
||||
"fixed operating cost (max capacity) ($)": "0",
|
||||
"fixed operating cost (min capacity) ($)": "0",
|
||||
"variable operating cost ($/tonne)": "0",
|
||||
"energy (GJ/tonne)": "0",
|
||||
x: 0,
|
||||
y: 0,
|
||||
};
|
||||
|
||||
export const defaultData = {
|
||||
parameters: {
|
||||
"time horizon (years)": "1",
|
||||
"building period (years)": "[1]",
|
||||
"inflation rate (%)": "0",
|
||||
"distance metric": "Euclidean",
|
||||
},
|
||||
products: {},
|
||||
plants: {},
|
||||
};
|
||||
@ -1,625 +0,0 @@
|
||||
import { evaluateExpr } from "./expr";
|
||||
|
||||
const isNumeric = (val) => {
|
||||
return String(val).length > 0 && !isNaN(val);
|
||||
};
|
||||
|
||||
const keysToList = (obj) => {
|
||||
const result = [];
|
||||
for (const key of Object.keys(obj)) {
|
||||
result.push(key);
|
||||
}
|
||||
return result;
|
||||
};
|
||||
|
||||
export const exportValue = (original, T, R = 1, data = {}) => {
|
||||
try {
|
||||
if (T) {
|
||||
let v = evaluateExpr(original.toString(), data);
|
||||
const result = [];
|
||||
for (let i = 0; i < T; i++) {
|
||||
result.push(v);
|
||||
v *= R;
|
||||
}
|
||||
return result;
|
||||
} else {
|
||||
return evaluateExpr(original.toString(), data);
|
||||
}
|
||||
} catch {
|
||||
// ignore;
|
||||
}
|
||||
|
||||
try {
|
||||
const parsed = JSON.parse(original);
|
||||
return parsed;
|
||||
} catch {
|
||||
// ignore
|
||||
}
|
||||
|
||||
return original;
|
||||
};
|
||||
|
||||
const exportValueDict = (original, T) => {
|
||||
const result = {};
|
||||
for (const [key, val] of Object.entries(original)) {
|
||||
if (key.length === 0) continue;
|
||||
result[key] = exportValue(val, T);
|
||||
}
|
||||
if (Object.keys(result).length > 0) {
|
||||
return result;
|
||||
} else {
|
||||
return null;
|
||||
}
|
||||
};
|
||||
|
||||
const computeTotalInitialAmount = (prod) => {
|
||||
let total = null;
|
||||
for (const locDict of Object.values(prod["initial amounts"])) {
|
||||
const locAmount = locDict["amount (tonne)"];
|
||||
if (!total) total = [...locAmount];
|
||||
else {
|
||||
for (let i = 0; i < locAmount.length; i++) {
|
||||
total[i] += locAmount[i];
|
||||
}
|
||||
}
|
||||
}
|
||||
return total;
|
||||
};
|
||||
|
||||
export const importList = (args, R = 1) => {
|
||||
if (args === undefined) return "";
|
||||
if (Array.isArray(args) && args.length > 0) {
|
||||
let isConstant = true;
|
||||
for (let i = 1; i < args.length; i++) {
|
||||
if (Math.abs(args[i - 1] - args[i] / R) > 1e-3) {
|
||||
isConstant = false;
|
||||
break;
|
||||
}
|
||||
}
|
||||
if (isConstant) {
|
||||
return String(args[0]);
|
||||
} else {
|
||||
return JSON.stringify(args);
|
||||
}
|
||||
} else {
|
||||
return args;
|
||||
}
|
||||
};
|
||||
|
||||
export const importDict = (args) => {
|
||||
if (!args) return {};
|
||||
const result = {};
|
||||
for (const [key, val] of Object.entries(args)) {
|
||||
result[key] = importList(val);
|
||||
}
|
||||
return result;
|
||||
};
|
||||
|
||||
const computeAbsDisposal = (prod) => {
|
||||
const disposalPerc = prod["disposal limit (%)"];
|
||||
const total = computeTotalInitialAmount(prod);
|
||||
const disposalAbs = [];
|
||||
for (let i = 0; i < total.length; i++) {
|
||||
disposalAbs[i] = (total[i] * disposalPerc) / 100;
|
||||
}
|
||||
return disposalAbs;
|
||||
};
|
||||
|
||||
const computeInflationAndTimeHorizon = (obj, keys) => {
|
||||
for (let i = 0; i < keys.length; i++) {
|
||||
const list = obj[keys[i]];
|
||||
if (
|
||||
Array.isArray(list) &&
|
||||
list.length > 1 &&
|
||||
isNumeric(list[0]) &&
|
||||
isNumeric(list[1]) &&
|
||||
Math.abs(list[0]) > 0
|
||||
) {
|
||||
return [list[1] / list[0], list.length];
|
||||
}
|
||||
}
|
||||
return [1, 1];
|
||||
};
|
||||
|
||||
export const exportProduct = (original, parameters) => {
|
||||
const result = {};
|
||||
|
||||
// Read time horizon
|
||||
let T = parameters["time horizon (years)"];
|
||||
if (isNumeric(T)) T = parseInt(T);
|
||||
else T = 1;
|
||||
|
||||
// Read inflation
|
||||
let R = parameters["inflation rate (%)"];
|
||||
if (isNumeric(R)) R = parseFloat(R) / 100 + 1;
|
||||
else R = 1;
|
||||
|
||||
// Copy constant time series
|
||||
result["initial amounts"] = original["initial amounts"];
|
||||
["disposal limit (tonne)", "transportation energy (J/km/tonne)"].forEach(
|
||||
(key) => {
|
||||
const v = exportValue(original[key], T);
|
||||
if (v.length > 0) result[key] = v;
|
||||
}
|
||||
);
|
||||
|
||||
// Copy cost time series (with inflation)
|
||||
[
|
||||
"disposal cost ($/tonne)",
|
||||
"acquisition cost ($/tonne)",
|
||||
"transportation cost ($/km/tonne)",
|
||||
].forEach((key) => {
|
||||
const v = exportValue(original[key], T, R);
|
||||
if (v.length > 0) result[key] = v;
|
||||
});
|
||||
|
||||
// Copy dictionaries
|
||||
["transportation emissions (tonne/km/tonne)"].forEach((key) => {
|
||||
const v = exportValueDict(original[key], T);
|
||||
if (v) result[key] = v;
|
||||
});
|
||||
|
||||
// Transform percentage disposal limits into absolute
|
||||
if (isNumeric(original["disposal limit (%)"])) {
|
||||
result["disposal limit (tonne)"] = computeAbsDisposal(original);
|
||||
}
|
||||
return result;
|
||||
};
|
||||
|
||||
export const exportPlant = (original, parameters) => {
|
||||
const result = {};
|
||||
|
||||
// Read time horizon
|
||||
let T = parameters["time horizon (years)"];
|
||||
if (isNumeric(T)) T = parseInt(T);
|
||||
else T = 1;
|
||||
|
||||
// Read inflation
|
||||
let R = parameters["inflation rate (%)"];
|
||||
if (isNumeric(R)) R = parseFloat(R) / 100 + 1;
|
||||
else R = 1;
|
||||
|
||||
// Copy scalar values
|
||||
["input"].forEach((key) => {
|
||||
result[key] = original[key];
|
||||
});
|
||||
|
||||
// Copy time series values
|
||||
["energy (GJ/tonne)"].forEach((key) => {
|
||||
result[key] = exportValue(original[key], T);
|
||||
if (result[key] === undefined) {
|
||||
delete result[key];
|
||||
}
|
||||
});
|
||||
|
||||
// Copy scalar dicts
|
||||
["outputs (tonne/tonne)"].forEach((key) => {
|
||||
const v = exportValueDict(original[key]);
|
||||
if (v) result[key] = v;
|
||||
});
|
||||
|
||||
// Copy time series dicts
|
||||
["emissions (tonne/tonne)"].forEach((key) => {
|
||||
const v = exportValueDict(original[key], T);
|
||||
if (v) result[key] = v;
|
||||
});
|
||||
|
||||
result.locations = {};
|
||||
for (const [locName, origDict] of Object.entries(original["locations"])) {
|
||||
const minCap = exportValue(
|
||||
original["minimum capacity (tonne)"],
|
||||
null,
|
||||
null,
|
||||
origDict
|
||||
);
|
||||
const maxCap = exportValue(
|
||||
original["maximum capacity (tonne)"],
|
||||
null,
|
||||
null,
|
||||
origDict
|
||||
);
|
||||
|
||||
const resDict = (result.locations[locName] = {});
|
||||
const capDict = (resDict["capacities (tonne)"] = {});
|
||||
|
||||
const acf = origDict["area cost factor"];
|
||||
|
||||
const exportValueAcf = (obj, data = {}) => {
|
||||
const v = exportValue(obj, T, R, data);
|
||||
if (Array.isArray(v)) {
|
||||
return v.map((v) => v * acf);
|
||||
}
|
||||
return "";
|
||||
};
|
||||
|
||||
// Copy scalar values
|
||||
["latitude (deg)", "longitude (deg)", "initial capacity (tonne)"].forEach(
|
||||
(key) => {
|
||||
resDict[key] = origDict[key];
|
||||
}
|
||||
);
|
||||
|
||||
// Copy minimum capacity dict
|
||||
capDict[minCap] = {};
|
||||
for (const [resKeyName, origKeyName] of Object.entries({
|
||||
"opening cost ($)": "opening cost (min capacity) ($)",
|
||||
"fixed operating cost ($)": "fixed operating cost (min capacity) ($)",
|
||||
"variable operating cost ($/tonne)": "variable operating cost ($/tonne)",
|
||||
})) {
|
||||
capDict[minCap][resKeyName] = exportValueAcf(
|
||||
original[origKeyName],
|
||||
origDict
|
||||
);
|
||||
}
|
||||
|
||||
if (maxCap !== minCap) {
|
||||
// Copy maximum capacity dict
|
||||
capDict[maxCap] = {};
|
||||
for (const [resKeyName, origKeyName] of Object.entries({
|
||||
"opening cost ($)": "opening cost (max capacity) ($)",
|
||||
"fixed operating cost ($)": "fixed operating cost (max capacity) ($)",
|
||||
"variable operating cost ($/tonne)":
|
||||
"variable operating cost ($/tonne)",
|
||||
})) {
|
||||
capDict[maxCap][resKeyName] = exportValueAcf(
|
||||
original[origKeyName],
|
||||
origDict
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
// Copy disposal
|
||||
resDict.disposal = {};
|
||||
for (const [dispName, dispCost] of Object.entries(
|
||||
original["disposal cost ($/tonne)"]
|
||||
)) {
|
||||
if (dispName.length === 0) continue;
|
||||
const v = exportValueAcf(dispCost, origDict);
|
||||
if (v) {
|
||||
resDict.disposal[dispName] = { "cost ($/tonne)": v };
|
||||
const limit = String(original["disposal limit (tonne)"][dispName]);
|
||||
if (limit.length > 0) {
|
||||
resDict.disposal[dispName]["limit (tonne)"] = exportValue(
|
||||
limit,
|
||||
T,
|
||||
1,
|
||||
origDict
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Copy storage
|
||||
resDict.storage = {
|
||||
"cost ($/tonne)": exportValueAcf(
|
||||
original["storage"]["cost ($/tonne)"],
|
||||
origDict
|
||||
),
|
||||
};
|
||||
const storLimit = original["storage"]["limit (tonne)"];
|
||||
if (storLimit.length > 0) {
|
||||
resDict.storage["limit (tonne)"] = exportValue(
|
||||
storLimit,
|
||||
null,
|
||||
1,
|
||||
origDict
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
return result;
|
||||
};
|
||||
|
||||
export const exportData = (original) => {
|
||||
const result = {
|
||||
parameters: {},
|
||||
products: {},
|
||||
plants: {},
|
||||
};
|
||||
|
||||
// Export parameters
|
||||
["time horizon (years)", "building period (years)"].forEach((key) => {
|
||||
result.parameters[key] = exportValue(original.parameters[key]);
|
||||
});
|
||||
["distance metric"].forEach((key) => {
|
||||
if (original.parameters[key].length > 0) {
|
||||
result.parameters[key] = original.parameters[key];
|
||||
}
|
||||
});
|
||||
|
||||
console.log(original.parameters);
|
||||
console.log(result.parameters);
|
||||
|
||||
// Read time horizon
|
||||
let T = result.parameters["time horizon (years)"];
|
||||
if (!isNumeric(T)) T = 1;
|
||||
|
||||
// Export products
|
||||
for (const [prodName, prodDict] of Object.entries(original.products)) {
|
||||
result.products[prodName] = exportProduct(prodDict, original.parameters);
|
||||
}
|
||||
|
||||
// Export plants
|
||||
for (const [plantName, plantDict] of Object.entries(original.plants)) {
|
||||
result.plants[plantName] = exportPlant(plantDict, original.parameters);
|
||||
}
|
||||
|
||||
// Export original data
|
||||
result["case builder"] = original;
|
||||
|
||||
return result;
|
||||
};
|
||||
|
||||
const compressDisposalLimits = (original, result) => {
|
||||
if (!("disposal limit (tonne)" in original)) {
|
||||
return;
|
||||
}
|
||||
const total = computeTotalInitialAmount(original);
|
||||
if (!total) return;
|
||||
const limit = original["disposal limit (tonne)"];
|
||||
let perc = Math.round((limit[0] / total[0]) * 1e6) / 1e6;
|
||||
for (let i = 1; i < limit.length; i++) {
|
||||
if (Math.abs(limit[i] / total[i] - perc) > 1e-5) {
|
||||
return;
|
||||
}
|
||||
}
|
||||
result["disposal limit (tonne)"] = "";
|
||||
result["disposal limit (%)"] = String(perc * 100);
|
||||
};
|
||||
|
||||
export const importProduct = (original) => {
|
||||
const prod = {};
|
||||
const parameters = {};
|
||||
|
||||
prod["initial amounts"] = { ...original["initial amounts"] };
|
||||
|
||||
// Initialize null values
|
||||
["x", "y"].forEach((key) => {
|
||||
prod[key] = null;
|
||||
});
|
||||
|
||||
// Initialize empty values
|
||||
["disposal limit (%)"].forEach((key) => {
|
||||
prod[key] = "";
|
||||
});
|
||||
|
||||
// Import constant lists
|
||||
["transportation energy (J/km/tonne)", "disposal limit (tonne)"].forEach(
|
||||
(key) => {
|
||||
prod[key] = importList(original[key]);
|
||||
}
|
||||
);
|
||||
|
||||
// Compute inflation and time horizon
|
||||
const [R, T] = computeInflationAndTimeHorizon(original, [
|
||||
"transportation cost ($/km/tonne)",
|
||||
"disposal cost ($/tonne)",
|
||||
"acquisition cost ($/tonne)",
|
||||
]);
|
||||
parameters["inflation rate (%)"] = String((R - 1) * 100);
|
||||
parameters["time horizon (years)"] = String(T);
|
||||
|
||||
// Import cost lists
|
||||
[
|
||||
"transportation cost ($/km/tonne)",
|
||||
"disposal cost ($/tonne)",
|
||||
"acquisition cost ($/tonne)",
|
||||
].forEach((key) => {
|
||||
prod[key] = importList(original[key], R);
|
||||
});
|
||||
|
||||
// Import dicts
|
||||
["transportation emissions (tonne/km/tonne)"].forEach((key) => {
|
||||
prod[key] = importDict(original[key]);
|
||||
});
|
||||
|
||||
// Attempt to convert absolute disposal limits to relative
|
||||
compressDisposalLimits(original, prod);
|
||||
|
||||
return [prod, parameters];
|
||||
};
|
||||
|
||||
export const importPlant = (original) => {
|
||||
const plant = {};
|
||||
const parameters = {};
|
||||
|
||||
plant["storage"] = {};
|
||||
plant["storage"]["cost ($/tonne)"] = 0;
|
||||
plant["storage"]["limit (tonne)"] = 0;
|
||||
plant["disposal cost ($/tonne)"] = 0;
|
||||
plant["disposal limit (tonne)"] = 0;
|
||||
|
||||
// Initialize null values
|
||||
["x", "y"].forEach((key) => {
|
||||
plant[key] = null;
|
||||
});
|
||||
|
||||
// Initialize defaults
|
||||
if (!original["outputs (tonne/tonne)"]) {
|
||||
original["outputs (tonne/tonne)"] = {};
|
||||
}
|
||||
|
||||
// Import scalar values
|
||||
["input"].forEach((key) => {
|
||||
plant[key] = original[key];
|
||||
});
|
||||
|
||||
// Import timeseries values
|
||||
["energy (GJ/tonne)"].forEach((key) => {
|
||||
plant[key] = importList(original[key]);
|
||||
if (plant[key] === "") {
|
||||
delete plant[key];
|
||||
}
|
||||
});
|
||||
|
||||
// Import dicts
|
||||
["outputs (tonne/tonne)", "emissions (tonne/tonne)"].forEach((key) => {
|
||||
plant[key] = importDict(original[key]);
|
||||
});
|
||||
|
||||
let costsInitialized = false;
|
||||
|
||||
// Read locations
|
||||
const resLocDict = (plant.locations = {});
|
||||
for (const [locName, origLocDict] of Object.entries(original["locations"])) {
|
||||
resLocDict[locName] = {};
|
||||
|
||||
// Import scalars
|
||||
["latitude (deg)", "longitude (deg)", "initial capacity (tonne)"].forEach(
|
||||
(key) => {
|
||||
resLocDict[locName][key] = origLocDict[key];
|
||||
}
|
||||
);
|
||||
|
||||
const capacities = keysToList(origLocDict["capacities (tonne)"]);
|
||||
const last = capacities.length - 1;
|
||||
const minCap = capacities[0];
|
||||
const maxCap = capacities[last];
|
||||
const minCapDict = origLocDict["capacities (tonne)"][minCap];
|
||||
const maxCapDict = origLocDict["capacities (tonne)"][maxCap];
|
||||
|
||||
// Import min/max capacity
|
||||
if ("minimum capacity (tonne)" in plant) {
|
||||
if (
|
||||
plant["minimum capacity (tonne)"] !== minCap ||
|
||||
plant["maximum capacity (tonne)"] !== maxCap
|
||||
) {
|
||||
throw "Data loss";
|
||||
}
|
||||
} else {
|
||||
plant["minimum capacity (tonne)"] = minCap;
|
||||
plant["maximum capacity (tonne)"] = maxCap;
|
||||
}
|
||||
|
||||
// Compute area cost factor
|
||||
let acf = 1;
|
||||
if (costsInitialized) {
|
||||
acf = plant["opening cost (max capacity) ($)"];
|
||||
if (Array.isArray(acf)) acf = acf[0];
|
||||
acf = maxCapDict["opening cost ($)"][0] / acf;
|
||||
}
|
||||
resLocDict[locName]["area cost factor"] = acf;
|
||||
|
||||
const [R, T] = computeInflationAndTimeHorizon(maxCapDict, [
|
||||
"opening cost ($)",
|
||||
"fixed operating cost ($)",
|
||||
"variable operating cost ($/tonne)",
|
||||
]);
|
||||
parameters["inflation rate (%)"] = String((R - 1) * 100);
|
||||
parameters["time horizon (years)"] = String(T);
|
||||
|
||||
// Initialize defaults
|
||||
if (!origLocDict.storage) {
|
||||
origLocDict.storage = {
|
||||
"cost ($/tonne)": new Array(T).fill(0),
|
||||
"limit (tonne)": new Array(T).fill(0),
|
||||
};
|
||||
}
|
||||
|
||||
// Read adjusted costs
|
||||
const importListAcf = (obj) =>
|
||||
importList(
|
||||
obj.map((v) => v / acf),
|
||||
R
|
||||
);
|
||||
const openCostMax = importListAcf(maxCapDict["opening cost ($)"]);
|
||||
const openCostMin = importListAcf(minCapDict["opening cost ($)"]);
|
||||
const fixCostMax = importListAcf(maxCapDict["fixed operating cost ($)"]);
|
||||
const fixCostMin = importListAcf(minCapDict["fixed operating cost ($)"]);
|
||||
const storCost = importListAcf(origLocDict.storage["cost ($/tonne)"]);
|
||||
const storLimit = String(origLocDict.storage["limit (tonne)"]);
|
||||
const varCost = importListAcf(
|
||||
minCapDict["variable operating cost ($/tonne)"]
|
||||
);
|
||||
|
||||
const dispCost = {};
|
||||
const dispLimit = {};
|
||||
for (const prodName of Object.keys(original["outputs (tonne/tonne)"])) {
|
||||
dispCost[prodName] = "";
|
||||
dispLimit[prodName] = "";
|
||||
|
||||
if (prodName in origLocDict["disposal"]) {
|
||||
const prodDict = origLocDict["disposal"][prodName];
|
||||
dispCost[prodName] = importListAcf(prodDict["cost ($/tonne)"]);
|
||||
if ("limit (tonne)" in prodDict)
|
||||
dispLimit[prodName] = importList(prodDict["limit (tonne)"]);
|
||||
}
|
||||
}
|
||||
|
||||
const check = (left, right) => {
|
||||
let valid = true;
|
||||
if (isNumeric(left) && isNumeric(right)) {
|
||||
valid = Math.abs(left - right) < 1.0;
|
||||
} else {
|
||||
valid = left === right;
|
||||
}
|
||||
if (!valid)
|
||||
console.warn(`Data loss detected: ${locName}, ${left} != ${right}`);
|
||||
};
|
||||
|
||||
if (costsInitialized) {
|
||||
// Verify that location costs match the previously initialized ones
|
||||
check(plant["opening cost (max capacity) ($)"], openCostMax);
|
||||
check(plant["opening cost (min capacity) ($)"], openCostMin);
|
||||
check(plant["fixed operating cost (max capacity) ($)"], fixCostMax);
|
||||
check(plant["fixed operating cost (min capacity) ($)"], fixCostMin);
|
||||
check(plant["variable operating cost ($/tonne)"], varCost);
|
||||
check(plant["storage"]["cost ($/tonne)"], storCost);
|
||||
check(plant["storage"]["limit (tonne)"], storLimit);
|
||||
check(String(plant["disposal cost ($/tonne)"]), String(dispCost));
|
||||
check(String(plant["disposal limit (tonne)"]), String(dispLimit));
|
||||
} else {
|
||||
// Initialize plant costs
|
||||
costsInitialized = true;
|
||||
plant["opening cost (max capacity) ($)"] = openCostMax;
|
||||
plant["opening cost (min capacity) ($)"] = openCostMin;
|
||||
plant["fixed operating cost (max capacity) ($)"] = fixCostMax;
|
||||
plant["fixed operating cost (min capacity) ($)"] = fixCostMin;
|
||||
plant["variable operating cost ($/tonne)"] = varCost;
|
||||
plant["storage"] = {};
|
||||
plant["storage"]["cost ($/tonne)"] = storCost;
|
||||
plant["storage"]["limit (tonne)"] = storLimit;
|
||||
plant["disposal cost ($/tonne)"] = dispCost;
|
||||
plant["disposal limit (tonne)"] = dispLimit;
|
||||
parameters["inflation rate (%)"] = String((R - 1) * 100);
|
||||
}
|
||||
}
|
||||
|
||||
return [plant, parameters];
|
||||
};
|
||||
|
||||
export const importData = (original) => {
|
||||
["parameters", "plants", "products"].forEach((key) => {
|
||||
if (!(key in original)) {
|
||||
throw "File not recognized.";
|
||||
}
|
||||
});
|
||||
|
||||
const result = {};
|
||||
result.parameters = importDict(original.parameters);
|
||||
["building period (years)"].forEach((k) => {
|
||||
result.parameters[k] = JSON.stringify(original.parameters[k]);
|
||||
});
|
||||
["distance metric"].forEach((k) => {
|
||||
result.parameters[k] = original.parameters[k];
|
||||
});
|
||||
result.parameters["inflation rate (%)"] = "0";
|
||||
|
||||
// Import products
|
||||
result.products = {};
|
||||
for (const [prodName, origProdDict] of Object.entries(original.products)) {
|
||||
const [recoveredProd, recoveredParams] = importProduct(origProdDict);
|
||||
result.products[prodName] = recoveredProd;
|
||||
result.parameters = { ...result.parameters, ...recoveredParams };
|
||||
}
|
||||
|
||||
// Import plants
|
||||
result.plants = {};
|
||||
for (const [plantName, origPlantDict] of Object.entries(original.plants)) {
|
||||
const [recoveredPlant, recoveredParams] = importPlant(origPlantDict);
|
||||
result.plants[plantName] = recoveredPlant;
|
||||
result.parameters = { ...result.parameters, ...recoveredParams };
|
||||
}
|
||||
|
||||
return result;
|
||||
};
|
||||
@ -1,738 +0,0 @@
|
||||
import {
|
||||
exportProduct,
|
||||
exportPlant,
|
||||
importProduct,
|
||||
importList,
|
||||
importDict,
|
||||
importPlant,
|
||||
} from "./export";
|
||||
|
||||
const sampleProductsOriginal = [
|
||||
// basic product
|
||||
{
|
||||
"initial amounts": {
|
||||
"Washakie County": {
|
||||
"latitude (deg)": 43.8356,
|
||||
"longitude (deg)": -107.6602,
|
||||
"amount (tonne)": [100, 200, 300],
|
||||
},
|
||||
"Platte County": {
|
||||
"latitude (deg)": 42.1314,
|
||||
"longitude (deg)": -104.9676,
|
||||
"amount (tonne)": [100, 200, 300],
|
||||
},
|
||||
"Park County": {
|
||||
"latitude (deg)": 44.4063,
|
||||
"longitude (deg)": -109.4153,
|
||||
"amount (tonne)": [100, 200, 300],
|
||||
},
|
||||
},
|
||||
"acquisition cost ($/tonne)": "4",
|
||||
"disposal cost ($/tonne)": "50",
|
||||
"disposal limit (tonne)": "30",
|
||||
"disposal limit (%)": "",
|
||||
"transportation cost ($/km/tonne)": "0",
|
||||
"transportation energy (J/km/tonne)": "10",
|
||||
"transportation emissions (tonne/km/tonne)": {
|
||||
CO2: "0.5",
|
||||
},
|
||||
x: null,
|
||||
y: null,
|
||||
},
|
||||
// product with percentage disposal limit
|
||||
{
|
||||
"initial amounts": {
|
||||
"Washakie County": {
|
||||
"latitude (deg)": 43.8356,
|
||||
"longitude (deg)": -107.6602,
|
||||
"amount (tonne)": [100, 200, 300],
|
||||
},
|
||||
"Platte County": {
|
||||
"latitude (deg)": 42.1314,
|
||||
"longitude (deg)": -104.9676,
|
||||
"amount (tonne)": [100, 200, 300],
|
||||
},
|
||||
"Park County": {
|
||||
"latitude (deg)": 44.4063,
|
||||
"longitude (deg)": -109.4153,
|
||||
"amount (tonne)": [100, 200, 300],
|
||||
},
|
||||
},
|
||||
"acquisition cost ($/tonne)": "4",
|
||||
"disposal cost ($/tonne)": "50",
|
||||
"disposal limit (tonne)": "",
|
||||
"disposal limit (%)": "10",
|
||||
"transportation cost ($/km/tonne)": "5",
|
||||
"transportation energy (J/km/tonne)": "10",
|
||||
"transportation emissions (tonne/km/tonne)": {
|
||||
CO2: "0.5",
|
||||
},
|
||||
x: null,
|
||||
y: null,
|
||||
},
|
||||
// product using defaults
|
||||
{
|
||||
"initial amounts": {
|
||||
"Washakie County": {
|
||||
"latitude (deg)": 43.8356,
|
||||
"longitude (deg)": -107.6602,
|
||||
"amount (tonne)": [100, 200, 300],
|
||||
},
|
||||
"Platte County": {
|
||||
"latitude (deg)": 42.1314,
|
||||
"longitude (deg)": -104.9676,
|
||||
"amount (tonne)": [100, 200, 300],
|
||||
},
|
||||
"Park County": {
|
||||
"latitude (deg)": 44.4063,
|
||||
"longitude (deg)": -109.4153,
|
||||
"amount (tonne)": [100, 200, 300],
|
||||
},
|
||||
},
|
||||
"acquisition cost ($/tonne)": "4",
|
||||
"disposal cost ($/tonne)": "50",
|
||||
"disposal limit (tonne)": "",
|
||||
"disposal limit (%)": "",
|
||||
"transportation cost ($/km/tonne)": "5",
|
||||
"transportation energy (J/km/tonne)": "",
|
||||
"transportation emissions (tonne/km/tonne)": {},
|
||||
x: null,
|
||||
y: null,
|
||||
},
|
||||
];
|
||||
|
||||
const sampleProductsExported = [
|
||||
// basic product
|
||||
{
|
||||
"initial amounts": {
|
||||
"Washakie County": {
|
||||
"latitude (deg)": 43.8356,
|
||||
"longitude (deg)": -107.6602,
|
||||
"amount (tonne)": [100, 200, 300],
|
||||
},
|
||||
"Platte County": {
|
||||
"latitude (deg)": 42.1314,
|
||||
"longitude (deg)": -104.9676,
|
||||
"amount (tonne)": [100, 200, 300],
|
||||
},
|
||||
"Park County": {
|
||||
"latitude (deg)": 44.4063,
|
||||
"longitude (deg)": -109.4153,
|
||||
"amount (tonne)": [100, 200, 300],
|
||||
},
|
||||
},
|
||||
"acquisition cost ($/tonne)": [4, 8, 16],
|
||||
"disposal cost ($/tonne)": [50, 100, 200],
|
||||
"disposal limit (tonne)": [30, 30, 30],
|
||||
"transportation cost ($/km/tonne)": [0, 0, 0],
|
||||
"transportation energy (J/km/tonne)": [10, 10, 10],
|
||||
"transportation emissions (tonne/km/tonne)": {
|
||||
CO2: [0.5, 0.5, 0.5],
|
||||
},
|
||||
},
|
||||
// product with percentage disposal limit
|
||||
{
|
||||
"initial amounts": {
|
||||
"Washakie County": {
|
||||
"latitude (deg)": 43.8356,
|
||||
"longitude (deg)": -107.6602,
|
||||
"amount (tonne)": [100, 200, 300],
|
||||
},
|
||||
"Platte County": {
|
||||
"latitude (deg)": 42.1314,
|
||||
"longitude (deg)": -104.9676,
|
||||
"amount (tonne)": [100, 200, 300],
|
||||
},
|
||||
"Park County": {
|
||||
"latitude (deg)": 44.4063,
|
||||
"longitude (deg)": -109.4153,
|
||||
"amount (tonne)": [100, 200, 300],
|
||||
},
|
||||
},
|
||||
"acquisition cost ($/tonne)": [4, 4, 4],
|
||||
"disposal cost ($/tonne)": [50, 50, 50],
|
||||
"disposal limit (tonne)": [30, 60, 90],
|
||||
"transportation cost ($/km/tonne)": [5, 5, 5],
|
||||
"transportation energy (J/km/tonne)": [10, 10, 10],
|
||||
"transportation emissions (tonne/km/tonne)": {
|
||||
CO2: [0.5, 0.5, 0.5],
|
||||
},
|
||||
},
|
||||
// product using defaults
|
||||
{
|
||||
"initial amounts": {
|
||||
"Washakie County": {
|
||||
"latitude (deg)": 43.8356,
|
||||
"longitude (deg)": -107.6602,
|
||||
"amount (tonne)": [100, 200, 300],
|
||||
},
|
||||
"Platte County": {
|
||||
"latitude (deg)": 42.1314,
|
||||
"longitude (deg)": -104.9676,
|
||||
"amount (tonne)": [100, 200, 300],
|
||||
},
|
||||
"Park County": {
|
||||
"latitude (deg)": 44.4063,
|
||||
"longitude (deg)": -109.4153,
|
||||
"amount (tonne)": [100, 200, 300],
|
||||
},
|
||||
},
|
||||
"acquisition cost ($/tonne)": [4, 4, 4],
|
||||
"disposal cost ($/tonne)": [50, 50, 50],
|
||||
"transportation cost ($/km/tonne)": [5, 5, 5],
|
||||
},
|
||||
];
|
||||
|
||||
const samplePlantsOriginal = [
|
||||
// basic plant
|
||||
{
|
||||
input: "Baled agricultural biomass",
|
||||
"outputs (tonne/tonne)": {
|
||||
"Hydrogen gas": 0.095,
|
||||
"Carbon dioxide": 1.164,
|
||||
Tar: 0,
|
||||
},
|
||||
locations: {
|
||||
"Washakie County": {
|
||||
"latitude (deg)": 43.8356,
|
||||
"longitude (deg)": -107.6602,
|
||||
"area cost factor": 1.0,
|
||||
"initial capacity (tonne)": 0,
|
||||
},
|
||||
"Platte County": {
|
||||
"latitude (deg)": 42.1314,
|
||||
"longitude (deg)": -104.9676,
|
||||
"area cost factor": 0.5,
|
||||
"initial capacity (tonne)": 0,
|
||||
},
|
||||
},
|
||||
"disposal cost ($/tonne)": {
|
||||
"Hydrogen gas": "0",
|
||||
"Carbon dioxide": "0",
|
||||
Tar: "200",
|
||||
},
|
||||
"disposal limit (tonne)": {
|
||||
"Hydrogen gas": "10",
|
||||
"Carbon dioxide": 0,
|
||||
Tar: "",
|
||||
},
|
||||
"emissions (tonne/tonne)": {
|
||||
CO2: "100",
|
||||
},
|
||||
storage: {
|
||||
"cost ($/tonne)": "5",
|
||||
"limit (tonne)": "10000",
|
||||
},
|
||||
"maximum capacity (tonne)": "730000",
|
||||
"minimum capacity (tonne)": "182500",
|
||||
"opening cost (max capacity) ($)": "300000",
|
||||
"opening cost (min capacity) ($)": "200000",
|
||||
"fixed operating cost (max capacity) ($)": "7000",
|
||||
"fixed operating cost (min capacity) ($)": "5000",
|
||||
"variable operating cost ($/tonne)": "10",
|
||||
x: null,
|
||||
y: null,
|
||||
},
|
||||
// plant with fixed capacity
|
||||
{
|
||||
input: "Baled agricultural biomass",
|
||||
"outputs (tonne/tonne)": {
|
||||
"Hydrogen gas": 0.095,
|
||||
"Carbon dioxide": 1.164,
|
||||
Tar: 0.06,
|
||||
},
|
||||
"energy (GJ/tonne)": "50",
|
||||
locations: {
|
||||
"Washakie County": {
|
||||
"latitude (deg)": 43.8356,
|
||||
"longitude (deg)": -107.6602,
|
||||
"area cost factor": 1.0,
|
||||
"initial capacity (tonne)": 0,
|
||||
},
|
||||
"Platte County": {
|
||||
"latitude (deg)": 42.1314,
|
||||
"longitude (deg)": -104.9676,
|
||||
"area cost factor": 0.5,
|
||||
"initial capacity (tonne)": 0,
|
||||
},
|
||||
},
|
||||
"disposal cost ($/tonne)": {
|
||||
"Hydrogen gas": "0",
|
||||
"Carbon dioxide": "0",
|
||||
Tar: "200",
|
||||
},
|
||||
"disposal limit (tonne)": {
|
||||
"Hydrogen gas": "10",
|
||||
"Carbon dioxide": "",
|
||||
Tar: "",
|
||||
},
|
||||
"emissions (tonne/tonne)": {
|
||||
CO2: "100",
|
||||
},
|
||||
storage: {
|
||||
"cost ($/tonne)": "5",
|
||||
"limit (tonne)": "10000",
|
||||
},
|
||||
"maximum capacity (tonne)": "182500",
|
||||
"minimum capacity (tonne)": "182500",
|
||||
"opening cost (max capacity) ($)": "200000",
|
||||
"opening cost (min capacity) ($)": "200000",
|
||||
"fixed operating cost (max capacity) ($)": "5000",
|
||||
"fixed operating cost (min capacity) ($)": "5000",
|
||||
"variable operating cost ($/tonne)": "10",
|
||||
x: null,
|
||||
y: null,
|
||||
},
|
||||
// plant with defaults
|
||||
{
|
||||
input: "Baled agricultural biomass",
|
||||
"outputs (tonne/tonne)": {
|
||||
"Hydrogen gas": 0.095,
|
||||
"Carbon dioxide": 1.164,
|
||||
Tar: 0.06,
|
||||
},
|
||||
"energy (GJ/tonne)": "50",
|
||||
locations: {
|
||||
"Washakie County": {
|
||||
"latitude (deg)": 43.8356,
|
||||
"longitude (deg)": -107.6602,
|
||||
"area cost factor": 1.0,
|
||||
"initial capacity (tonne)": 0,
|
||||
},
|
||||
"Platte County": {
|
||||
"latitude (deg)": 42.1314,
|
||||
"longitude (deg)": -104.9676,
|
||||
"area cost factor": 0.5,
|
||||
"initial capacity (tonne)": 0,
|
||||
},
|
||||
},
|
||||
"disposal cost ($/tonne)": {
|
||||
"Hydrogen gas": "",
|
||||
"Carbon dioxide": "",
|
||||
Tar: "",
|
||||
},
|
||||
"disposal limit (tonne)": {
|
||||
"Hydrogen gas": "",
|
||||
"Carbon dioxide": "",
|
||||
Tar: "",
|
||||
},
|
||||
"emissions (tonne/tonne)": {
|
||||
CO2: "100",
|
||||
},
|
||||
storage: {
|
||||
"cost ($/tonne)": "5",
|
||||
"limit (tonne)": "10000",
|
||||
},
|
||||
"maximum capacity (tonne)": "730000",
|
||||
"minimum capacity (tonne)": "182500",
|
||||
"opening cost (max capacity) ($)": "300000",
|
||||
"opening cost (min capacity) ($)": "200000",
|
||||
"fixed operating cost (max capacity) ($)": "7000",
|
||||
"fixed operating cost (min capacity) ($)": "5000",
|
||||
"variable operating cost ($/tonne)": "10",
|
||||
x: null,
|
||||
y: null,
|
||||
},
|
||||
// plant with expresions
|
||||
{
|
||||
input: "Baled agricultural biomass",
|
||||
"outputs (tonne/tonne)": {
|
||||
"Hydrogen gas": 0.095,
|
||||
"Carbon dioxide": 1.164,
|
||||
Tar: 0,
|
||||
},
|
||||
locations: {
|
||||
"Washakie County": {
|
||||
"latitude (deg)": 43.8356,
|
||||
"longitude (deg)": -107.6602,
|
||||
"area cost factor": 1.0,
|
||||
"initial capacity (tonne)": 0,
|
||||
x: 2,
|
||||
},
|
||||
"Platte County": {
|
||||
"latitude (deg)": 42.1314,
|
||||
"longitude (deg)": -104.9676,
|
||||
"area cost factor": 0.5,
|
||||
"initial capacity (tonne)": 0,
|
||||
x: 4,
|
||||
},
|
||||
},
|
||||
"disposal cost ($/tonne)": {
|
||||
"Hydrogen gas": "0 + x",
|
||||
"Carbon dioxide": "0 + x",
|
||||
Tar: "200 + x",
|
||||
},
|
||||
"disposal limit (tonne)": {
|
||||
"Hydrogen gas": "10 + x",
|
||||
"Carbon dioxide": "",
|
||||
Tar: "",
|
||||
},
|
||||
"emissions (tonne/tonne)": {
|
||||
CO2: "100",
|
||||
},
|
||||
storage: {
|
||||
"cost ($/tonne)": "5 + x",
|
||||
"limit (tonne)": "10000 + x",
|
||||
},
|
||||
"maximum capacity (tonne)": "730000 + x",
|
||||
"minimum capacity (tonne)": "182500 + x",
|
||||
"opening cost (max capacity) ($)": "300000 + x",
|
||||
"opening cost (min capacity) ($)": "200000 + x",
|
||||
"fixed operating cost (max capacity) ($)": "7000 + x",
|
||||
"fixed operating cost (min capacity) ($)": "5000 + x",
|
||||
"variable operating cost ($/tonne)": "10 + x",
|
||||
x: null,
|
||||
y: null,
|
||||
},
|
||||
];
|
||||
|
||||
const samplePlantsExported = [
|
||||
//basic plant
|
||||
{
|
||||
input: "Baled agricultural biomass",
|
||||
"outputs (tonne/tonne)": {
|
||||
"Hydrogen gas": 0.095,
|
||||
"Carbon dioxide": 1.164,
|
||||
Tar: 0,
|
||||
},
|
||||
locations: {
|
||||
"Washakie County": {
|
||||
"latitude (deg)": 43.8356,
|
||||
"longitude (deg)": -107.6602,
|
||||
disposal: {
|
||||
"Hydrogen gas": {
|
||||
"cost ($/tonne)": [0, 0, 0],
|
||||
"limit (tonne)": [10, 10, 10],
|
||||
},
|
||||
"Carbon dioxide": {
|
||||
"cost ($/tonne)": [0, 0, 0],
|
||||
"limit (tonne)": [0, 0, 0],
|
||||
},
|
||||
Tar: {
|
||||
"cost ($/tonne)": [200, 400, 800],
|
||||
},
|
||||
},
|
||||
storage: {
|
||||
"cost ($/tonne)": [5, 10, 20],
|
||||
"limit (tonne)": 10000,
|
||||
},
|
||||
"initial capacity (tonne)": 0,
|
||||
"capacities (tonne)": {
|
||||
182500: {
|
||||
"opening cost ($)": [200000, 400000, 800000],
|
||||
"fixed operating cost ($)": [5000, 10000, 20000],
|
||||
"variable operating cost ($/tonne)": [10, 20, 40],
|
||||
},
|
||||
730000: {
|
||||
"opening cost ($)": [300000, 600000, 1200000],
|
||||
"fixed operating cost ($)": [7000, 14000, 28000],
|
||||
"variable operating cost ($/tonne)": [10, 20, 40],
|
||||
},
|
||||
},
|
||||
},
|
||||
"Platte County": {
|
||||
"latitude (deg)": 42.1314,
|
||||
"longitude (deg)": -104.9676,
|
||||
disposal: {
|
||||
"Hydrogen gas": {
|
||||
"cost ($/tonne)": [0, 0, 0],
|
||||
"limit (tonne)": [10, 10, 10],
|
||||
},
|
||||
"Carbon dioxide": {
|
||||
"cost ($/tonne)": [0, 0, 0],
|
||||
"limit (tonne)": [0, 0, 0],
|
||||
},
|
||||
Tar: {
|
||||
"cost ($/tonne)": [100, 200.0, 400],
|
||||
},
|
||||
},
|
||||
storage: {
|
||||
"cost ($/tonne)": [2.5, 5, 10],
|
||||
"limit (tonne)": 10000,
|
||||
},
|
||||
"initial capacity (tonne)": 0,
|
||||
"capacities (tonne)": {
|
||||
182500: {
|
||||
"opening cost ($)": [100000, 200000, 400000],
|
||||
"fixed operating cost ($)": [2500, 5000, 10000],
|
||||
"variable operating cost ($/tonne)": [5, 10, 20],
|
||||
},
|
||||
730000: {
|
||||
"opening cost ($)": [150000, 300000, 600000],
|
||||
"fixed operating cost ($)": [3500, 7000, 14000],
|
||||
"variable operating cost ($/tonne)": [5, 10, 20],
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
"emissions (tonne/tonne)": {
|
||||
CO2: [100, 100, 100],
|
||||
},
|
||||
},
|
||||
// plant with fixed capacity
|
||||
{
|
||||
input: "Baled agricultural biomass",
|
||||
"outputs (tonne/tonne)": {
|
||||
"Hydrogen gas": 0.095,
|
||||
"Carbon dioxide": 1.164,
|
||||
Tar: 0.06,
|
||||
},
|
||||
"energy (GJ/tonne)": [50, 50, 50],
|
||||
locations: {
|
||||
"Washakie County": {
|
||||
"latitude (deg)": 43.8356,
|
||||
"longitude (deg)": -107.6602,
|
||||
disposal: {
|
||||
"Hydrogen gas": {
|
||||
"cost ($/tonne)": [0, 0, 0],
|
||||
"limit (tonne)": [10, 10, 10],
|
||||
},
|
||||
"Carbon dioxide": {
|
||||
"cost ($/tonne)": [0, 0, 0],
|
||||
},
|
||||
Tar: {
|
||||
"cost ($/tonne)": [200.0, 200.0, 200.0],
|
||||
},
|
||||
},
|
||||
storage: {
|
||||
"cost ($/tonne)": [5, 5, 5],
|
||||
"limit (tonne)": 10000,
|
||||
},
|
||||
"initial capacity (tonne)": 0,
|
||||
"capacities (tonne)": {
|
||||
182500: {
|
||||
"opening cost ($)": [200000, 200000, 200000],
|
||||
"fixed operating cost ($)": [5000, 5000, 5000],
|
||||
"variable operating cost ($/tonne)": [10, 10, 10],
|
||||
},
|
||||
},
|
||||
},
|
||||
"Platte County": {
|
||||
"latitude (deg)": 42.1314,
|
||||
"longitude (deg)": -104.9676,
|
||||
disposal: {
|
||||
"Hydrogen gas": {
|
||||
"cost ($/tonne)": [0, 0, 0],
|
||||
"limit (tonne)": [10, 10, 10],
|
||||
},
|
||||
"Carbon dioxide": {
|
||||
"cost ($/tonne)": [0, 0, 0],
|
||||
},
|
||||
Tar: {
|
||||
"cost ($/tonne)": [100.0, 100.0, 100.0],
|
||||
},
|
||||
},
|
||||
storage: {
|
||||
"cost ($/tonne)": [2.5, 2.5, 2.5],
|
||||
"limit (tonne)": 10000,
|
||||
},
|
||||
"initial capacity (tonne)": 0,
|
||||
"capacities (tonne)": {
|
||||
182500: {
|
||||
"opening cost ($)": [100000, 100000, 100000],
|
||||
"fixed operating cost ($)": [2500, 2500, 2500],
|
||||
"variable operating cost ($/tonne)": [5, 5, 5],
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
"emissions (tonne/tonne)": {
|
||||
CO2: [100, 100, 100],
|
||||
},
|
||||
},
|
||||
// plant with defaults
|
||||
{
|
||||
input: "Baled agricultural biomass",
|
||||
"outputs (tonne/tonne)": {
|
||||
"Hydrogen gas": 0.095,
|
||||
"Carbon dioxide": 1.164,
|
||||
Tar: 0.06,
|
||||
},
|
||||
"energy (GJ/tonne)": [50, 50, 50],
|
||||
locations: {
|
||||
"Washakie County": {
|
||||
"latitude (deg)": 43.8356,
|
||||
"longitude (deg)": -107.6602,
|
||||
disposal: {},
|
||||
storage: {
|
||||
"cost ($/tonne)": [5, 5, 5],
|
||||
"limit (tonne)": 10000,
|
||||
},
|
||||
"initial capacity (tonne)": 0,
|
||||
"capacities (tonne)": {
|
||||
182500: {
|
||||
"opening cost ($)": [200000, 200000, 200000],
|
||||
"fixed operating cost ($)": [5000, 5000, 5000],
|
||||
"variable operating cost ($/tonne)": [10, 10, 10],
|
||||
},
|
||||
730000: {
|
||||
"opening cost ($)": [300000, 300000, 300000],
|
||||
"fixed operating cost ($)": [7000, 7000, 7000],
|
||||
"variable operating cost ($/tonne)": [10, 10, 10],
|
||||
},
|
||||
},
|
||||
},
|
||||
"Platte County": {
|
||||
"latitude (deg)": 42.1314,
|
||||
"longitude (deg)": -104.9676,
|
||||
disposal: {},
|
||||
storage: {
|
||||
"cost ($/tonne)": [2.5, 2.5, 2.5],
|
||||
"limit (tonne)": 10000,
|
||||
},
|
||||
"initial capacity (tonne)": 0,
|
||||
"capacities (tonne)": {
|
||||
182500: {
|
||||
"opening cost ($)": [100000, 100000, 100000],
|
||||
"fixed operating cost ($)": [2500, 2500, 2500],
|
||||
"variable operating cost ($/tonne)": [5, 5, 5],
|
||||
},
|
||||
730000: {
|
||||
"opening cost ($)": [150000, 150000, 150000],
|
||||
"fixed operating cost ($)": [3500, 3500, 3500],
|
||||
"variable operating cost ($/tonne)": [5, 5, 5],
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
"emissions (tonne/tonne)": {
|
||||
CO2: [100, 100, 100],
|
||||
},
|
||||
},
|
||||
// plant with expressions
|
||||
{
|
||||
input: "Baled agricultural biomass",
|
||||
"outputs (tonne/tonne)": {
|
||||
"Hydrogen gas": 0.095,
|
||||
"Carbon dioxide": 1.164,
|
||||
Tar: 0,
|
||||
},
|
||||
locations: {
|
||||
"Washakie County": {
|
||||
"latitude (deg)": 43.8356,
|
||||
"longitude (deg)": -107.6602,
|
||||
disposal: {
|
||||
"Hydrogen gas": {
|
||||
"cost ($/tonne)": [2, 4, 8],
|
||||
"limit (tonne)": [12, 12, 12],
|
||||
},
|
||||
"Carbon dioxide": {
|
||||
"cost ($/tonne)": [2, 4, 8],
|
||||
},
|
||||
Tar: {
|
||||
"cost ($/tonne)": [202, 404, 808],
|
||||
},
|
||||
},
|
||||
storage: {
|
||||
"cost ($/tonne)": [7, 14, 28],
|
||||
"limit (tonne)": 10002,
|
||||
},
|
||||
"initial capacity (tonne)": 0,
|
||||
"capacities (tonne)": {
|
||||
182502: {
|
||||
"opening cost ($)": [200002, 400004, 800008],
|
||||
"fixed operating cost ($)": [5002, 10004, 20008],
|
||||
"variable operating cost ($/tonne)": [12, 24, 48],
|
||||
},
|
||||
730002: {
|
||||
"opening cost ($)": [300002, 600004, 1200008],
|
||||
"fixed operating cost ($)": [7002, 14004, 28008],
|
||||
"variable operating cost ($/tonne)": [12, 24, 48],
|
||||
},
|
||||
},
|
||||
},
|
||||
"Platte County": {
|
||||
"latitude (deg)": 42.1314,
|
||||
"longitude (deg)": -104.9676,
|
||||
disposal: {
|
||||
"Hydrogen gas": {
|
||||
"cost ($/tonne)": [2, 4, 8],
|
||||
"limit (tonne)": [14, 14, 14],
|
||||
},
|
||||
"Carbon dioxide": {
|
||||
"cost ($/tonne)": [2, 4, 8],
|
||||
},
|
||||
Tar: {
|
||||
"cost ($/tonne)": [102, 204.0, 408],
|
||||
},
|
||||
},
|
||||
storage: {
|
||||
"cost ($/tonne)": [4.5, 9, 18],
|
||||
"limit (tonne)": 10004,
|
||||
},
|
||||
"initial capacity (tonne)": 0,
|
||||
"capacities (tonne)": {
|
||||
182504: {
|
||||
"opening cost ($)": [100002, 200004, 400008],
|
||||
"fixed operating cost ($)": [2502, 5004, 10008],
|
||||
"variable operating cost ($/tonne)": [7, 14, 28],
|
||||
},
|
||||
730004: {
|
||||
"opening cost ($)": [150002, 300004, 600008],
|
||||
"fixed operating cost ($)": [3502, 7004, 14008],
|
||||
"variable operating cost ($/tonne)": [7, 14, 28],
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
"emissions (tonne/tonne)": {
|
||||
CO2: [100, 100, 100],
|
||||
},
|
||||
},
|
||||
];
|
||||
|
||||
const sampleParameters = [
|
||||
{
|
||||
"time horizon (years)": "3",
|
||||
"inflation rate (%)": "100",
|
||||
},
|
||||
{
|
||||
"time horizon (years)": "3",
|
||||
"inflation rate (%)": "0",
|
||||
},
|
||||
{
|
||||
"time horizon (years)": "3",
|
||||
"inflation rate (%)": "0",
|
||||
},
|
||||
{
|
||||
"time horizon (years)": "3",
|
||||
"inflation rate (%)": "100",
|
||||
},
|
||||
];
|
||||
|
||||
test("export products", () => {
|
||||
for (let i = 0; i < sampleProductsOriginal.length; i++) {
|
||||
const original = sampleProductsOriginal[i];
|
||||
const exported = sampleProductsExported[i];
|
||||
expect(exportProduct(original, sampleParameters[i])).toEqual(exported);
|
||||
|
||||
const [recoveredProd, recoveredParams] = importProduct(exported);
|
||||
expect(recoveredProd).toEqual(original);
|
||||
expect(recoveredParams).toEqual(sampleParameters[i]);
|
||||
}
|
||||
});
|
||||
|
||||
test("export plants", () => {
|
||||
for (let i = 0; i < samplePlantsOriginal.length; i++) {
|
||||
const original = samplePlantsOriginal[i];
|
||||
const exported = samplePlantsExported[i];
|
||||
expect(exportPlant(original, sampleParameters[i])).toEqual(exported);
|
||||
|
||||
// const [recoveredPlant, recoveredParams] = importPlant(exported);
|
||||
// expect(recoveredPlant).toEqual(original);
|
||||
// expect(recoveredParams).toEqual(sampleParameters[i]);
|
||||
}
|
||||
});
|
||||
|
||||
test("importList", () => {
|
||||
expect(importList("invalid")).toEqual("invalid");
|
||||
expect(importList([1, 1, 1])).toEqual("1");
|
||||
expect(importList([1, 2, 3])).toEqual("[1,2,3]");
|
||||
expect(importList(["A", "A", "A"])).toEqual("A");
|
||||
});
|
||||
|
||||
test("importDict", () => {
|
||||
expect(importDict({ a: [5, 5, 5] })).toEqual({ a: "5" });
|
||||
expect(importDict({ a: [1, 2, 3] })).toEqual({ a: "[1,2,3]" });
|
||||
expect(importDict({ a: "invalid" })).toEqual({ a: "invalid" });
|
||||
});
|
||||
@ -1,50 +0,0 @@
|
||||
import { Jsep } from "jsep";
|
||||
import { exportValue } from "./export";
|
||||
|
||||
export const evaluateExpr = (expr, data) => {
|
||||
const node = Jsep.parse(expr);
|
||||
return evaluateNode(node, data);
|
||||
};
|
||||
|
||||
const evaluateNode = (node, data) => {
|
||||
if (node.type == "BinaryExpression") {
|
||||
return evaluateBinaryExprNode(node, data);
|
||||
} else if (node.type == "UnaryExpression") {
|
||||
return evaluateUnaryExprNode(node, data);
|
||||
} else if (node.type == "Literal") {
|
||||
return node.value;
|
||||
} else if (node.type == "Identifier") {
|
||||
return data[node.name];
|
||||
} else {
|
||||
throw `Unknown type: ${node.type}`;
|
||||
}
|
||||
};
|
||||
|
||||
const evaluateBinaryExprNode = (node, data) => {
|
||||
const leftVal = evaluateNode(node.left, data);
|
||||
const rightVal = evaluateNode(node.right, data);
|
||||
if (node.operator == "+") {
|
||||
return leftVal + rightVal;
|
||||
} else if (node.operator == "*") {
|
||||
return leftVal * rightVal;
|
||||
} else if (node.operator == "/") {
|
||||
return leftVal / rightVal;
|
||||
} else if (node.operator == "-") {
|
||||
return leftVal - rightVal;
|
||||
} else if (node.operator == "^") {
|
||||
return Math.pow(leftVal, rightVal);
|
||||
} else {
|
||||
throw `Unknown operator: ${node.operator}`;
|
||||
}
|
||||
};
|
||||
|
||||
const evaluateUnaryExprNode = (node, data) => {
|
||||
const arg = evaluateNode(node.argument, data);
|
||||
if (node.operator == "+") {
|
||||
return arg;
|
||||
} else if (node.operator == "-") {
|
||||
return -arg;
|
||||
} else {
|
||||
throw `Unknown operator: ${node.operator}`;
|
||||
}
|
||||
};
|
||||
@ -1,19 +0,0 @@
|
||||
import { evaluateExpr } from "./expr";
|
||||
|
||||
test("parse expression", () => {
|
||||
// Basic expressions
|
||||
expect(evaluateExpr("1 + 1")).toEqual(2);
|
||||
expect(evaluateExpr("2 * 5")).toEqual(10);
|
||||
expect(evaluateExpr("2 * (3 + 5)")).toEqual(16);
|
||||
expect(evaluateExpr("14 / 2")).toEqual(7);
|
||||
expect(evaluateExpr("10 - 3")).toEqual(7);
|
||||
expect(evaluateExpr("-10")).toEqual(-10);
|
||||
expect(evaluateExpr("+10")).toEqual(10);
|
||||
expect(evaluateExpr("2^3")).toEqual(8);
|
||||
expect(evaluateExpr("2^(3 + 1)")).toEqual(16);
|
||||
|
||||
// With data
|
||||
expect(evaluateExpr("x + 1", { x: 10 })).toEqual(11);
|
||||
expect(evaluateExpr("2 ^ (3 + x)", { x: 1 })).toEqual(16);
|
||||
expect(evaluateExpr("x + y", { x: 1, y: 2 })).toEqual(3);
|
||||
});
|
||||
@ -1,194 +0,0 @@
|
||||
const Ajv = require("ajv");
|
||||
const ajv = new Ajv();
|
||||
|
||||
const schema = {
|
||||
$schema: "http://json-schema.org/draft-07/schema#",
|
||||
$id: "https://anl-ceeesa.github.io/RELOG/input",
|
||||
title: "Schema for RELOG Input File",
|
||||
definitions: {
|
||||
TimeSeries: {
|
||||
type: "array",
|
||||
items: {
|
||||
type: "number",
|
||||
},
|
||||
},
|
||||
Parameters: {
|
||||
type: "object",
|
||||
properties: {
|
||||
"time horizon (years)": {
|
||||
type: "number",
|
||||
},
|
||||
"distance metric": {
|
||||
type: "string",
|
||||
},
|
||||
},
|
||||
required: ["time horizon (years)"],
|
||||
},
|
||||
Plant: {
|
||||
type: "object",
|
||||
additionalProperties: {
|
||||
type: "object",
|
||||
properties: {
|
||||
input: {
|
||||
type: "string",
|
||||
},
|
||||
"outputs (tonne/tonne)": {
|
||||
type: "object",
|
||||
additionalProperties: {
|
||||
type: "number",
|
||||
},
|
||||
},
|
||||
"energy (GJ/tonne)": {
|
||||
$ref: "#/definitions/TimeSeries",
|
||||
},
|
||||
"emissions (tonne/tonne)": {
|
||||
type: "object",
|
||||
additionalProperties: {
|
||||
$ref: "#/definitions/TimeSeries",
|
||||
},
|
||||
},
|
||||
locations: {
|
||||
$ref: "#/definitions/PlantLocation",
|
||||
},
|
||||
},
|
||||
required: ["input", "locations"],
|
||||
},
|
||||
},
|
||||
PlantLocation: {
|
||||
type: "object",
|
||||
additionalProperties: {
|
||||
type: "object",
|
||||
properties: {
|
||||
location: {
|
||||
type: "string",
|
||||
},
|
||||
"latitude (deg)": {
|
||||
type: "number",
|
||||
},
|
||||
"longitude (deg)": {
|
||||
type: "number",
|
||||
},
|
||||
disposal: {
|
||||
type: "object",
|
||||
additionalProperties: {
|
||||
type: "object",
|
||||
properties: {
|
||||
"cost ($/tonne)": {
|
||||
$ref: "#/definitions/TimeSeries",
|
||||
},
|
||||
"limit (tonne)": {
|
||||
$ref: "#/definitions/TimeSeries",
|
||||
},
|
||||
},
|
||||
required: ["cost ($/tonne)"],
|
||||
},
|
||||
},
|
||||
storage: {
|
||||
type: "object",
|
||||
properties: {
|
||||
"cost ($/tonne)": {
|
||||
$ref: "#/definitions/TimeSeries",
|
||||
},
|
||||
"limit (tonne)": {
|
||||
type: "number",
|
||||
},
|
||||
},
|
||||
required: ["cost ($/tonne)", "limit (tonne)"],
|
||||
},
|
||||
"capacities (tonne)": {
|
||||
type: "object",
|
||||
additionalProperties: {
|
||||
type: "object",
|
||||
properties: {
|
||||
"variable operating cost ($/tonne)": {
|
||||
$ref: "#/definitions/TimeSeries",
|
||||
},
|
||||
"fixed operating cost ($)": {
|
||||
$ref: "#/definitions/TimeSeries",
|
||||
},
|
||||
"opening cost ($)": {
|
||||
$ref: "#/definitions/TimeSeries",
|
||||
},
|
||||
},
|
||||
required: [
|
||||
"variable operating cost ($/tonne)",
|
||||
"fixed operating cost ($)",
|
||||
"opening cost ($)",
|
||||
],
|
||||
},
|
||||
},
|
||||
},
|
||||
required: ["capacities (tonne)"],
|
||||
},
|
||||
},
|
||||
InitialAmount: {
|
||||
type: "object",
|
||||
additionalProperties: {
|
||||
type: "object",
|
||||
properties: {
|
||||
location: {
|
||||
type: "string",
|
||||
},
|
||||
"latitude (deg)": {
|
||||
type: "number",
|
||||
},
|
||||
"longitude (deg)": {
|
||||
type: "number",
|
||||
},
|
||||
"amount (tonne)": {
|
||||
$ref: "#/definitions/TimeSeries",
|
||||
},
|
||||
},
|
||||
required: ["amount (tonne)"],
|
||||
},
|
||||
},
|
||||
Product: {
|
||||
type: "object",
|
||||
additionalProperties: {
|
||||
type: "object",
|
||||
properties: {
|
||||
"transportation cost ($/km/tonne)": {
|
||||
$ref: "#/definitions/TimeSeries",
|
||||
},
|
||||
"transportation energy (J/km/tonne)": {
|
||||
$ref: "#/definitions/TimeSeries",
|
||||
},
|
||||
"transportation emissions (tonne/km/tonne)": {
|
||||
type: "object",
|
||||
additionalProperties: {
|
||||
$ref: "#/definitions/TimeSeries",
|
||||
},
|
||||
},
|
||||
"initial amounts": {
|
||||
$ref: "#/definitions/InitialAmount",
|
||||
},
|
||||
"disposal limit (tonne)": {
|
||||
$ref: "#/definitions/TimeSeries",
|
||||
},
|
||||
"disposal cost ($/tonne)": {
|
||||
$ref: "#/definitions/TimeSeries",
|
||||
},
|
||||
"acquisition cost ($/tonne)": {
|
||||
$ref: "#/definitions/TimeSeries",
|
||||
},
|
||||
},
|
||||
required: ["transportation cost ($/km/tonne)"],
|
||||
},
|
||||
},
|
||||
},
|
||||
type: "object",
|
||||
properties: {
|
||||
parameters: {
|
||||
$ref: "#/definitions/Parameters",
|
||||
},
|
||||
plants: {
|
||||
$ref: "#/definitions/Plant",
|
||||
},
|
||||
products: {
|
||||
$ref: "#/definitions/Product",
|
||||
},
|
||||
},
|
||||
required: ["parameters", "plants", "products"],
|
||||
};
|
||||
|
||||
export const validate = ajv.compile(schema);
|
||||
@ -1,26 +0,0 @@
|
||||
import styles from "./Button.module.css";
|
||||
|
||||
const Button = (props) => {
|
||||
let className = styles.Button;
|
||||
if (props.kind === "inline") {
|
||||
className += " " + styles.inline;
|
||||
}
|
||||
|
||||
let tooltip = "";
|
||||
if (props.tooltip !== undefined) {
|
||||
tooltip = <span className={styles.tooltip}>{props.tooltip}</span>;
|
||||
}
|
||||
|
||||
return (
|
||||
<button
|
||||
className={className}
|
||||
onClick={props.onClick}
|
||||
disabled={props.disabled}
|
||||
>
|
||||
{tooltip}
|
||||
{props.label}
|
||||
</button>
|
||||
);
|
||||
};
|
||||
|
||||
export default Button;
|
||||
@ -1,67 +0,0 @@
|
||||
.Button {
|
||||
padding: 6px 36px;
|
||||
margin: 12px 6px;
|
||||
line-height: 24px;
|
||||
border: var(--box-border);
|
||||
/* background-color: white; */
|
||||
box-shadow: var(--box-shadow);
|
||||
border-radius: var(--border-radius);
|
||||
cursor: pointer;
|
||||
color: rgba(0, 0, 0, 0.8);
|
||||
text-transform: uppercase;
|
||||
font-weight: bold;
|
||||
font-size: 12px;
|
||||
background: linear-gradient(rgb(255, 255, 255) 25%, rgb(245, 245, 245) 100%);
|
||||
}
|
||||
|
||||
.Button:hover {
|
||||
background: rgb(245, 245, 245);
|
||||
}
|
||||
|
||||
.Button:active {
|
||||
background: rgba(220, 220, 220);
|
||||
}
|
||||
|
||||
.inline {
|
||||
padding: 0 12px;
|
||||
margin: 2px 4px 2px 0;
|
||||
height: 32px;
|
||||
font-size: 11px;
|
||||
}
|
||||
|
||||
/* .inline:last-child {
|
||||
margin: 2px 1px;
|
||||
} */
|
||||
|
||||
.tooltip {
|
||||
visibility: hidden;
|
||||
background-color: #333;
|
||||
color: white;
|
||||
opacity: 0%;
|
||||
width: 180px;
|
||||
margin-top: 36px;
|
||||
margin-left: -180px;
|
||||
position: absolute;
|
||||
z-index: 100;
|
||||
text-transform: none;
|
||||
font-size: 13px;
|
||||
border-radius: 4px;
|
||||
box-shadow: 4px 4px 8px rgba(0, 0, 0, 0.25);
|
||||
line-height: 18px;
|
||||
padding: 6px;
|
||||
transition: opacity 0.5s;
|
||||
font-weight: normal;
|
||||
text-align: left;
|
||||
padding: 6px 12px;
|
||||
}
|
||||
|
||||
.Button:hover .tooltip {
|
||||
visibility: visible;
|
||||
opacity: 100%;
|
||||
transition: opacity 0.5s;
|
||||
}
|
||||
|
||||
.Button:disabled {
|
||||
color: rgba(0, 0, 0, 0.25);
|
||||
cursor: default;
|
||||
}
|
||||
@ -1,7 +0,0 @@
|
||||
import styles from "./Card.module.css";
|
||||
|
||||
const Card = (props) => {
|
||||
return <div className={styles.Card}>{props.children}</div>;
|
||||
};
|
||||
|
||||
export default Card;
|
||||
@ -1,22 +0,0 @@
|
||||
.Card {
|
||||
border: var(--box-border);
|
||||
box-shadow: var(--box-shadow);
|
||||
border-radius: var(--border-radius);
|
||||
background-color: white;
|
||||
padding: 12px;
|
||||
min-height: 24px;
|
||||
}
|
||||
|
||||
.Card h1 {
|
||||
margin: 12px -12px 0px -12px;
|
||||
padding: 6px 12px 0px 12px;
|
||||
font-size: 14px;
|
||||
line-height: 35px;
|
||||
border-top: 1px solid #ddd;
|
||||
}
|
||||
|
||||
.Card h1:first-child {
|
||||
margin: -12px -12px 0px -12px;
|
||||
border-top: none;
|
||||
background: none;
|
||||
}
|
||||
@ -1,91 +0,0 @@
|
||||
import form_styles from "./Form.module.css";
|
||||
import Button from "./Button";
|
||||
import { validate } from "./Form";
|
||||
|
||||
const DictInputRow = (props) => {
|
||||
const dict = { ...props.value };
|
||||
if (!props.disableKeys) {
|
||||
dict[""] = "0";
|
||||
}
|
||||
|
||||
let unit = "";
|
||||
if (props.unit) {
|
||||
unit = <span className={form_styles.FormRow_unit}>({props.unit})</span>;
|
||||
}
|
||||
|
||||
let tooltip = "";
|
||||
if (props.tooltip !== undefined) {
|
||||
tooltip = <Button label="?" kind="inline" tooltip={props.tooltip} />;
|
||||
}
|
||||
|
||||
const onChangeValue = (key, v) => {
|
||||
const newDict = { ...dict };
|
||||
newDict[key] = v;
|
||||
props.onChange(newDict);
|
||||
};
|
||||
|
||||
const onChangeKey = (prevKey, newKey) => {
|
||||
const newDict = renameKey(dict, prevKey, newKey);
|
||||
if (!("" in newDict)) newDict[""] = "";
|
||||
props.onChange(newDict);
|
||||
};
|
||||
|
||||
const form = [];
|
||||
Object.keys(dict).forEach((key, index) => {
|
||||
let label = (
|
||||
<span>
|
||||
{props.label} {unit}
|
||||
</span>
|
||||
);
|
||||
if (index > 0) {
|
||||
label = "";
|
||||
}
|
||||
|
||||
let isValid = true;
|
||||
if (props.validate !== undefined) {
|
||||
isValid = validate(props.validate, dict[key]);
|
||||
}
|
||||
|
||||
let className = "";
|
||||
if (!isValid) className = form_styles.invalid;
|
||||
|
||||
form.push(
|
||||
<div className={form_styles.FormRow} key={index}>
|
||||
<label>{label}</label>
|
||||
<input
|
||||
type="text"
|
||||
data-index={index}
|
||||
value={key}
|
||||
placeholder={props.keyPlaceholder}
|
||||
disabled={props.disableKeys}
|
||||
onChange={(e) => onChangeKey(key, e.target.value)}
|
||||
/>
|
||||
<input
|
||||
type="text"
|
||||
data-index={index}
|
||||
value={dict[key]}
|
||||
placeholder={props.valuePlaceholder}
|
||||
className={className}
|
||||
onChange={(e) => onChangeValue(key, e.target.value)}
|
||||
/>
|
||||
{tooltip}
|
||||
</div>
|
||||
);
|
||||
});
|
||||
|
||||
return <>{form}</>;
|
||||
};
|
||||
|
||||
export function renameKey(obj, prevKey, newKey) {
|
||||
const keys = Object.keys(obj);
|
||||
return keys.reduce((acc, val) => {
|
||||
if (val === prevKey) {
|
||||
acc[newKey] = obj[prevKey];
|
||||
} else {
|
||||
acc[val] = obj[val];
|
||||
}
|
||||
return acc;
|
||||
}, {});
|
||||
}
|
||||
|
||||
export default DictInputRow;
|
||||
@ -1,59 +0,0 @@
|
||||
import form_styles from "./Form.module.css";
|
||||
import Button from "./Button";
|
||||
import { useRef } from "react";
|
||||
|
||||
const FileInputRow = (props) => {
|
||||
let tooltip = "";
|
||||
if (props.tooltip !== undefined) {
|
||||
tooltip = <Button label="?" kind="inline" tooltip={props.tooltip} />;
|
||||
}
|
||||
|
||||
const fileElem = useRef();
|
||||
|
||||
const onClickUpload = () => {
|
||||
fileElem.current.click();
|
||||
};
|
||||
|
||||
const onFileSelected = () => {
|
||||
const file = fileElem.current.files[0];
|
||||
if (file) {
|
||||
const reader = new FileReader();
|
||||
reader.addEventListener("load", () => {
|
||||
props.onFile(reader.result);
|
||||
});
|
||||
reader.readAsText(file);
|
||||
}
|
||||
fileElem.current.value = "";
|
||||
};
|
||||
|
||||
return (
|
||||
<div className={form_styles.FormRow}>
|
||||
<label>{props.label}</label>
|
||||
<input type="text" value={props.value} disabled="disabled" />
|
||||
<Button label="Upload" kind="inline" onClick={onClickUpload} />
|
||||
<Button
|
||||
label="Download"
|
||||
kind="inline"
|
||||
onClick={props.onDownload}
|
||||
disabled={props.disableDownload}
|
||||
/>
|
||||
<Button
|
||||
label="Clear"
|
||||
kind="inline"
|
||||
onClick={props.onClear}
|
||||
disabled={props.disableClear}
|
||||
/>
|
||||
<Button label="Template" kind="inline" onClick={props.onTemplate} />
|
||||
{tooltip}
|
||||
<input
|
||||
type="file"
|
||||
ref={fileElem}
|
||||
accept={props.accept}
|
||||
style={{ display: "none" }}
|
||||
onChange={onFileSelected}
|
||||
/>
|
||||
</div>
|
||||
);
|
||||
};
|
||||
|
||||
export default FileInputRow;
|
||||
@ -1,15 +0,0 @@
|
||||
import styles from "./Footer.module.css";
|
||||
|
||||
const Footer = () => {
|
||||
return (
|
||||
<div className={styles.Footer}>
|
||||
<p>RELOG: Reverse Logistics Optimization</p>
|
||||
<p>
|
||||
Copyright © 2020—2022, UChicago Argonne, LLC. All Rights
|
||||
Reserved.
|
||||
</p>
|
||||
</div>
|
||||
);
|
||||
};
|
||||
|
||||
export default Footer;
|
||||
@ -1,8 +0,0 @@
|
||||
.Footer {
|
||||
padding: 12px;
|
||||
color: rgba(255, 255, 255, 0.5);
|
||||
text-align: center;
|
||||
font-size: 14px;
|
||||
line-height: 8px;
|
||||
min-width: 900px;
|
||||
}
|
||||
@ -1,19 +0,0 @@
|
||||
const VALIDATION_REGEX = {
|
||||
int: new RegExp("^[0-9]+$"),
|
||||
intList: new RegExp("[[0-9]*]$"),
|
||||
float: new RegExp("^[0-9]*\\.?[0-9]*$"),
|
||||
floatList: new RegExp("^[?[0-9,.]*]?$"),
|
||||
};
|
||||
|
||||
export const validate = (kind, value) => {
|
||||
if (!VALIDATION_REGEX[kind].test(value)) {
|
||||
return false;
|
||||
}
|
||||
return true;
|
||||
};
|
||||
|
||||
const Form = (props) => {
|
||||
return <>{props.children}</>;
|
||||
};
|
||||
|
||||
export default Form;
|
||||
@ -1,28 +0,0 @@
|
||||
.FormRow {
|
||||
display: flex;
|
||||
line-height: 24px;
|
||||
}
|
||||
|
||||
.FormRow label {
|
||||
width: 350px;
|
||||
padding: 6px 12px;
|
||||
text-align: right;
|
||||
}
|
||||
|
||||
.FormRow input {
|
||||
flex: 1;
|
||||
font-family: monospace;
|
||||
border: var(--box-border);
|
||||
border-radius: var(--border-radius);
|
||||
padding: 4px;
|
||||
margin: 2px 3px;
|
||||
}
|
||||
|
||||
.FormRow_unit {
|
||||
color: rgba(0, 0, 0, 0.4);
|
||||
}
|
||||
|
||||
.invalid {
|
||||
border: 2px solid #faa !important;
|
||||
background-color: rgba(255, 0, 0, 0.05);
|
||||
}
|
||||
@ -1,17 +0,0 @@
|
||||
import styles from "./Header.module.css";
|
||||
|
||||
const Header = (props) => {
|
||||
return (
|
||||
<div className={styles.HeaderBox}>
|
||||
<div className={styles.HeaderContent}>
|
||||
<h1>RELOG</h1>
|
||||
<h2>{props.title}</h2>
|
||||
<div style={{ float: "right", paddingTop: "5px" }}>
|
||||
{props.children}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
};
|
||||
|
||||
export default Header;
|
||||
@ -1,28 +0,0 @@
|
||||
.HeaderBox {
|
||||
background-color: white;
|
||||
border-bottom: var(--box-border);
|
||||
box-shadow: var(--box-shadow);
|
||||
padding: 0;
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
.HeaderContent {
|
||||
margin: 0 auto;
|
||||
max-width: var(--site-width);
|
||||
}
|
||||
|
||||
.HeaderContent h1,
|
||||
.HeaderContent h2 {
|
||||
line-height: 48px;
|
||||
font-size: 28px;
|
||||
padding: 12px;
|
||||
margin: 0;
|
||||
display: inline-block;
|
||||
vertical-align: middle;
|
||||
}
|
||||
|
||||
.HeaderContent h2 {
|
||||
font-size: 22px;
|
||||
font-weight: normal;
|
||||
color: rgba(0, 0, 0, 0.6);
|
||||
}
|
||||
@ -1,7 +0,0 @@
|
||||
import styles from "./Section.module.css";
|
||||
|
||||
const Section = (props) => {
|
||||
return <h2 className={styles.Section}>{props.title}</h2>;
|
||||
};
|
||||
|
||||
export default Section;
|
||||
@ -1,6 +0,0 @@
|
||||
.Section {
|
||||
line-height: 36px;
|
||||
margin: 12px;
|
||||
font-size: 16px;
|
||||
font-weight: bold;
|
||||
}
|
||||
@ -1,44 +0,0 @@
|
||||
import form_styles from "./Form.module.css";
|
||||
import Button from "./Button";
|
||||
import { validate } from "./Form";
|
||||
import React from "react";
|
||||
|
||||
const TextInputRow = React.forwardRef((props, ref) => {
|
||||
let unit = "";
|
||||
if (props.unit) {
|
||||
unit = <span className={form_styles.FormRow_unit}>({props.unit})</span>;
|
||||
}
|
||||
|
||||
let tooltip = "";
|
||||
if (props.tooltip !== undefined) {
|
||||
tooltip = <Button label="?" kind="inline" tooltip={props.tooltip} />;
|
||||
}
|
||||
|
||||
let isValid = true;
|
||||
if (!props.disabled && props.validate !== undefined) {
|
||||
isValid = validate(props.validate, props.value);
|
||||
}
|
||||
|
||||
let className = "";
|
||||
if (!isValid) className = form_styles.invalid;
|
||||
|
||||
return (
|
||||
<div className={form_styles.FormRow}>
|
||||
<label>
|
||||
{props.label} {unit}
|
||||
</label>
|
||||
<input
|
||||
type="text"
|
||||
placeholder={props.default}
|
||||
disabled={props.disabled}
|
||||
value={props.value}
|
||||
className={className}
|
||||
onChange={(e) => props.onChange(e.target.value)}
|
||||
ref={ref}
|
||||
/>
|
||||
{tooltip}
|
||||
</div>
|
||||
);
|
||||
});
|
||||
|
||||
export default TextInputRow;
|
||||
@ -1,109 +0,0 @@
|
||||
:root {
|
||||
--site-width: 1200px;
|
||||
--box-border: 1px solid rgba(0, 0, 0, 0.2);
|
||||
--box-shadow: 0px 2px 4px -3px rgba(0, 0, 0, 0.2);
|
||||
--border-radius: 4px;
|
||||
--primary: #0d6efd;
|
||||
}
|
||||
|
||||
html,
|
||||
body {
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
border: 0;
|
||||
font-family: sans-serif;
|
||||
}
|
||||
|
||||
body {
|
||||
background-color: #333;
|
||||
color: rgba(0, 0, 0, 0.95);
|
||||
}
|
||||
|
||||
#contentBackground {
|
||||
background-color: #f6f6f6;
|
||||
}
|
||||
|
||||
#content {
|
||||
max-width: var(--site-width);
|
||||
min-width: 900px;
|
||||
margin: 0 auto;
|
||||
padding: 1px 6px 32px 6px;
|
||||
}
|
||||
|
||||
.react-flow__node.selected {
|
||||
box-shadow: 2px 2px 4px rgba(0, 0, 0, 0.2) !important;
|
||||
border-width: 2px !important;
|
||||
margin-top: -1px !important;
|
||||
margin-left: -1px !important;
|
||||
border-radius: 8px !important;
|
||||
}
|
||||
|
||||
.react-flow__handle {
|
||||
width: 6px !important;
|
||||
height: 6px !important;
|
||||
background-color: white !important;
|
||||
border: 1px solid black !important;
|
||||
}
|
||||
|
||||
.react-flow__handle:hover {
|
||||
background-color: black !important;
|
||||
}
|
||||
|
||||
.react-flow__handle-right {
|
||||
right: -4px !important;
|
||||
}
|
||||
|
||||
.react-flow__handle-left {
|
||||
left: -4px !important;
|
||||
}
|
||||
|
||||
#messageTray {
|
||||
max-width: var(--site-width);
|
||||
margin: 0 auto;
|
||||
position: fixed;
|
||||
bottom: 12px;
|
||||
left: 0;
|
||||
right: 0;
|
||||
z-index: 100;
|
||||
}
|
||||
|
||||
#messageTray .message {
|
||||
background-color: rgb(221, 69, 69);
|
||||
color: #eee;
|
||||
padding: 12px;
|
||||
border-radius: var(--border-radius);
|
||||
box-shadow: 4px 4px 8px rgba(0, 0, 0, 0.4);
|
||||
display: flex;
|
||||
margin-top: 12px;
|
||||
}
|
||||
|
||||
#messageTray .message p {
|
||||
flex: 1;
|
||||
margin: 0;
|
||||
padding: 12px 0;
|
||||
}
|
||||
|
||||
#messageTray .message button {
|
||||
margin: 0;
|
||||
background: transparent;
|
||||
border: 1px solid #eee;
|
||||
color: #eee;
|
||||
float: right;
|
||||
padding: 0 24px;
|
||||
line-height: 6px;
|
||||
}
|
||||
|
||||
#messageTray .message button:hover {
|
||||
background: rgba(255, 255, 255, 0.05);
|
||||
}
|
||||
|
||||
#messageTray .message button:active {
|
||||
background: rgba(255, 255, 255, 0.1);
|
||||
}
|
||||
|
||||
.nodata {
|
||||
text-align: center;
|
||||
padding: 24px 0;
|
||||
color: #888;
|
||||
margin: 0;
|
||||
}
|
||||
@ -1,27 +0,0 @@
|
||||
import React from "react";
|
||||
import ReactDOM from "react-dom";
|
||||
import "./index.css";
|
||||
import InputPage from "./casebuilder/InputPage";
|
||||
import SolverPage from "./solver/SolverPage";
|
||||
import { Route, BrowserRouter, Switch, Redirect } from "react-router-dom";
|
||||
|
||||
export const SERVER_URL = "";
|
||||
|
||||
ReactDOM.render(
|
||||
<BrowserRouter>
|
||||
<React.StrictMode>
|
||||
<Switch>
|
||||
<Route path="/casebuilder">
|
||||
<InputPage />
|
||||
</Route>
|
||||
<Route path="/solver/:job_id">
|
||||
<SolverPage />
|
||||
</Route>
|
||||
<Route path="/">
|
||||
<Redirect to="/casebuilder" />
|
||||
</Route>
|
||||
</Switch>
|
||||
</React.StrictMode>
|
||||
</BrowserRouter>,
|
||||
document.getElementById("root")
|
||||
);
|
||||
@ -1,46 +0,0 @@
|
||||
import { useState } from "react";
|
||||
import { useEffect } from "react";
|
||||
import Section from "../common/Section";
|
||||
import Card from "../common/Card";
|
||||
import styles from "./FilesBlock.module.css";
|
||||
import { SERVER_URL } from "..";
|
||||
|
||||
const FilesBlock = (props) => {
|
||||
const [filesFound, setFilesFound] = useState(false);
|
||||
|
||||
const fetchFiles = async () => {
|
||||
const response = await fetch(`${SERVER_URL}/jobs/${props.job}/output.json`);
|
||||
if (response.ok) {
|
||||
setFilesFound(true);
|
||||
}
|
||||
};
|
||||
|
||||
// Fetch files periodically from the server
|
||||
useEffect(() => {
|
||||
fetchFiles();
|
||||
if (!filesFound) {
|
||||
const interval = setInterval(() => {
|
||||
fetchFiles();
|
||||
}, 1000);
|
||||
return () => clearInterval(interval);
|
||||
}
|
||||
}, [filesFound]);
|
||||
|
||||
let content = <div className="nodata">No files available</div>;
|
||||
if (filesFound) {
|
||||
content = (
|
||||
<div className={styles.files}>
|
||||
<a href={`${SERVER_URL}/jobs/${props.job}/output.zip`}>output.zip</a>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
return (
|
||||
<>
|
||||
<Section title="Output Files" />
|
||||
<Card>{content}</Card>
|
||||
</>
|
||||
);
|
||||
};
|
||||
|
||||
export default FilesBlock;
|
||||
@ -1,19 +0,0 @@
|
||||
.files a {
|
||||
display: block;
|
||||
padding: 16px;
|
||||
text-decoration: none;
|
||||
color: var(--primary);
|
||||
}
|
||||
|
||||
.files a:hover {
|
||||
background-color: var(--primary);
|
||||
color: white;
|
||||
border-radius: var(--border-radius);
|
||||
}
|
||||
|
||||
.nodata {
|
||||
text-align: center;
|
||||
padding: 24px 0;
|
||||
color: #888;
|
||||
margin: 0;
|
||||
}
|
||||
@ -1,47 +0,0 @@
|
||||
import { useState } from "react";
|
||||
import { useEffect } from "react";
|
||||
import Section from "../common/Section";
|
||||
import Card from "../common/Card";
|
||||
import styles from "./LogBlock.module.css";
|
||||
import { useRef } from "react";
|
||||
import { SERVER_URL } from "..";
|
||||
|
||||
const LogBlock = (props) => {
|
||||
const [log, setLog] = useState();
|
||||
const preRef = useRef(null);
|
||||
|
||||
const fetchLog = async () => {
|
||||
const response = await fetch(`${SERVER_URL}/jobs/${props.job}/solve.log`);
|
||||
const data = await response.text();
|
||||
if (log !== data) {
|
||||
setLog(data);
|
||||
}
|
||||
};
|
||||
|
||||
// Fetch log periodically from the server
|
||||
useEffect(() => {
|
||||
fetchLog();
|
||||
const interval = setInterval(() => {
|
||||
fetchLog();
|
||||
}, 1000);
|
||||
return () => clearInterval(interval);
|
||||
}, []);
|
||||
|
||||
// Scroll to bottom whenever the log is updated
|
||||
useEffect(() => {
|
||||
preRef.current.scrollTop = preRef.current.scrollHeight;
|
||||
}, [log]);
|
||||
|
||||
return (
|
||||
<>
|
||||
<Section title="Optimization Log" />
|
||||
<Card>
|
||||
<pre ref={preRef} className={styles.log}>
|
||||
{log}
|
||||
</pre>
|
||||
</Card>
|
||||
</>
|
||||
);
|
||||
};
|
||||
|
||||
export default LogBlock;
|
||||
@ -1,8 +0,0 @@
|
||||
.log {
|
||||
max-height: 500px;
|
||||
min-height: 500px;
|
||||
border: 0;
|
||||
margin: 0;
|
||||
overflow: auto;
|
||||
line-height: 1.4em;
|
||||
}
|
||||
@ -1,238 +0,0 @@
|
||||
import * as d3 from "d3";
|
||||
import { group } from "d3-array";
|
||||
import * as L from "leaflet";
|
||||
import "leaflet/dist/leaflet.css";
|
||||
import { useEffect, useState } from "react";
|
||||
import { SERVER_URL } from "..";
|
||||
import Card from "../common/Card";
|
||||
import Section from "../common/Section";
|
||||
|
||||
function drawMap(csv_plants, csv_tr) {
|
||||
const mapLink = '<a href="http://openstreetmap.org">OpenStreetMap</a>';
|
||||
|
||||
const base = L.tileLayer(
|
||||
"https://{s}.basemaps.cartocdn.com/light_all/{z}/{x}/{y}{r}.png",
|
||||
{
|
||||
attribution:
|
||||
'© <a href="https://www.openstreetmap.org/copyright">OpenStreetMap</a> contributors © <a href="https://carto.com/attributions">CARTO</a>',
|
||||
subdomains: "abcd",
|
||||
maxZoom: 10,
|
||||
}
|
||||
);
|
||||
|
||||
const plant_types = [...new Set(csv_plants.map((d) => d["plant type"]))];
|
||||
plant_types.push("Multiple");
|
||||
const plant_color = d3
|
||||
.scaleOrdinal()
|
||||
.domain(plant_types)
|
||||
.range([
|
||||
"#558B2F",
|
||||
"#FF8F00",
|
||||
"#0277BD",
|
||||
"#AD1457",
|
||||
"#00838F",
|
||||
"#4527A0",
|
||||
"#C62828",
|
||||
"#424242",
|
||||
]);
|
||||
|
||||
const plant_locations = d3
|
||||
.nest()
|
||||
.key((d) => d["location name"])
|
||||
.rollup(function (v) {
|
||||
return {
|
||||
amount_processed: d3.sum(v, function (d) {
|
||||
return d["amount processed (tonne)"];
|
||||
}),
|
||||
latitude: d3.mean(v, function (d) {
|
||||
return d["latitude (deg)"];
|
||||
}),
|
||||
longitude: d3.mean(v, function (d) {
|
||||
return d["longitude (deg)"];
|
||||
}),
|
||||
plant_types: [...new Set(v.map((d) => d["plant type"]))],
|
||||
};
|
||||
})
|
||||
.entries(csv_plants);
|
||||
|
||||
const plant_scale = d3
|
||||
.scaleSqrt()
|
||||
.range([2, 10])
|
||||
.domain([0, d3.max(plant_locations, (d) => d.value.amount_processed)]);
|
||||
|
||||
const plants_array = [];
|
||||
plant_locations.forEach((d) => {
|
||||
if (d.value.plant_types.length > 1) {
|
||||
d.value.plant_type = "Multiple";
|
||||
} else {
|
||||
d.value.plant_type = d.value.plant_types[0];
|
||||
}
|
||||
const marker = L.circleMarker([d.value.latitude, d.value.longitude], {
|
||||
id: "circleMarker",
|
||||
className: "marker",
|
||||
color: "#222",
|
||||
weight: 1,
|
||||
fillColor: plant_color(d.value.plant_type),
|
||||
fillOpacity: 0.9,
|
||||
radius: plant_scale(d.value.amount_processed),
|
||||
});
|
||||
const num = d.value.amount_processed.toFixed(2);
|
||||
const num_parts = num.toString().split(".");
|
||||
num_parts[0] = num_parts[0].replace(/\B(?=(\d{3})+(?!\d))/g, ",");
|
||||
marker.bindTooltip(
|
||||
`<b>${d.key}</b>
|
||||
<br>
|
||||
Amount processed:
|
||||
${num_parts.join(".")}
|
||||
<br>
|
||||
Plant types:
|
||||
${d.value.plant_types}`
|
||||
);
|
||||
plants_array.push(marker);
|
||||
});
|
||||
|
||||
const collection_centers = d3
|
||||
.nest()
|
||||
.key((d) => d["source location name"])
|
||||
.rollup(function (v) {
|
||||
return {
|
||||
source_lat: d3.mean(v, (d) => d["source latitude (deg)"]),
|
||||
source_long: d3.mean(v, (d) => d["source longitude (deg)"]),
|
||||
amount: d3.sum(v, (d) => d["amount (tonne)"]),
|
||||
};
|
||||
})
|
||||
.entries(csv_tr);
|
||||
|
||||
//Color scale for the collection centers
|
||||
const colors = d3
|
||||
.scaleLog()
|
||||
.domain([
|
||||
d3.min(collection_centers, (d) => d.value.amount),
|
||||
d3.max(collection_centers, (d) => d.value.amount),
|
||||
])
|
||||
.range(["#777", "#777"]);
|
||||
|
||||
//Plot the collection centers
|
||||
const collection_array = [];
|
||||
collection_centers.forEach(function (d) {
|
||||
const marker = L.circleMarker([d.value.source_lat, d.value.source_long], {
|
||||
color: "#000",
|
||||
fillColor: colors(d.value.amount),
|
||||
fillOpacity: 1,
|
||||
radius: 1.25,
|
||||
weight: 0,
|
||||
className: "marker",
|
||||
});
|
||||
collection_array.push(marker);
|
||||
});
|
||||
|
||||
const transportation_lines = group(
|
||||
csv_tr,
|
||||
(d) => d["source location name"],
|
||||
(d) => d["destination location name"]
|
||||
);
|
||||
|
||||
//Plot the transportation lines
|
||||
const transport_array = [];
|
||||
transportation_lines.forEach(function (d1) {
|
||||
d1.forEach(function (d2) {
|
||||
const object = d2[0];
|
||||
const line = L.polyline(
|
||||
[
|
||||
[object["source latitude (deg)"], object["source longitude (deg)"]],
|
||||
[
|
||||
object["destination latitude (deg)"],
|
||||
object["destination longitude (deg)"],
|
||||
],
|
||||
],
|
||||
{
|
||||
color: "#666",
|
||||
stroke: true,
|
||||
weight: 0.5,
|
||||
opacity: Math.max(0.1, 0.5 / d1.size),
|
||||
}
|
||||
);
|
||||
transport_array.push(line);
|
||||
});
|
||||
});
|
||||
|
||||
const plants = L.layerGroup(plants_array);
|
||||
const cities = L.layerGroup(collection_array);
|
||||
const transport = L.layerGroup(transport_array);
|
||||
|
||||
const baseMaps = {
|
||||
"Open Street Map": base,
|
||||
};
|
||||
const overlayMaps = {
|
||||
Plants: plants,
|
||||
"Collection Centers": cities,
|
||||
"Transportation Lines": transport,
|
||||
};
|
||||
|
||||
cities.on({
|
||||
add: function () {
|
||||
cities.eachLayer((layer) => layer.bringToBack());
|
||||
},
|
||||
});
|
||||
|
||||
transport.on({
|
||||
add: function () {
|
||||
plants.eachLayer((layer) => layer.bringToFront());
|
||||
},
|
||||
});
|
||||
|
||||
function setHeight() {
|
||||
let mapDiv = document.getElementById("map");
|
||||
mapDiv.style.height = `${+mapDiv.offsetWidth * 0.55}px`;
|
||||
}
|
||||
|
||||
//$(window).resize(setHeight);
|
||||
|
||||
setHeight();
|
||||
const map = L.map("map", {
|
||||
layers: [base, plants],
|
||||
}).setView([37.8, -96.9], 4);
|
||||
|
||||
const svg6 = d3.select(map.getPanes().overlayPane).append("svg");
|
||||
svg6.append("g").attr("class", "leaflet-zoom-hide");
|
||||
|
||||
L.control.layers(baseMaps, overlayMaps).addTo(map);
|
||||
}
|
||||
|
||||
const MapBlock = (props) => {
|
||||
const [filesFound, setFilesFound] = useState(false);
|
||||
|
||||
const fetchFiles = () => {
|
||||
const file_prefix = `${SERVER_URL}/jobs/${props.job}/case`;
|
||||
d3.csv(`${file_prefix}_plants.csv`).then((csv_plants) => {
|
||||
d3.csv(`${file_prefix}_tr.csv`).then((csv_tr) => {
|
||||
setFilesFound(true);
|
||||
drawMap(csv_plants, csv_tr, file_prefix);
|
||||
});
|
||||
});
|
||||
};
|
||||
|
||||
// Fetch files periodically from the server
|
||||
useEffect(() => {
|
||||
fetchFiles();
|
||||
if (!filesFound) {
|
||||
const interval = setInterval(() => {
|
||||
fetchFiles();
|
||||
}, 1000);
|
||||
return () => clearInterval(interval);
|
||||
}
|
||||
}, [filesFound]);
|
||||
|
||||
return (
|
||||
<>
|
||||
<Section title="Map" />
|
||||
<Card>
|
||||
<div id="map">
|
||||
<div className="nodata">No data available</div>
|
||||
</div>
|
||||
</Card>
|
||||
</>
|
||||
);
|
||||
};
|
||||
|
||||
export default MapBlock;
|
||||
@ -1,28 +0,0 @@
|
||||
import React from "react";
|
||||
import { useParams } from "react-router-dom";
|
||||
import Footer from "../common/Footer";
|
||||
import Header from "../common/Header";
|
||||
import LogBlock from "./LogBlock";
|
||||
import FilesBlock from "./FilesBlock";
|
||||
import MapBlock from "./MapBlock";
|
||||
|
||||
const SolverPage = () => {
|
||||
const params = useParams();
|
||||
|
||||
return (
|
||||
<>
|
||||
<Header title="Solver"></Header>
|
||||
<div id="contentBackground">
|
||||
{" "}
|
||||
<div id="content">
|
||||
<LogBlock job={params.job_id} />
|
||||
<FilesBlock job={params.job_id} />
|
||||
<MapBlock job={params.job_id} />
|
||||
</div>
|
||||
</div>
|
||||
<Footer />
|
||||
</>
|
||||
);
|
||||
};
|
||||
|
||||
export default SolverPage;
|
||||
@ -1,33 +1,14 @@
|
||||
# RELOG: Reverse Logistics Optimization
|
||||
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
|
||||
# Released under the modified BSD license. See COPYING.md for more details.
|
||||
|
||||
module RELOG
|
||||
|
||||
using Pkg
|
||||
|
||||
version() = Pkg.dependencies()[Base.UUID("a2afcdf7-cf04-4913-85f9-c0d81ddf2008")].version
|
||||
_round(x::Number) = round(x, digits = 5)
|
||||
|
||||
include("instance/structs.jl")
|
||||
include("graph/structs.jl")
|
||||
|
||||
include("instance/geodb.jl")
|
||||
include("graph/dist.jl")
|
||||
include("graph/build.jl")
|
||||
include("graph/csv.jl")
|
||||
include("instance/compress.jl")
|
||||
include("instance/parse.jl")
|
||||
include("instance/validate.jl")
|
||||
include("model/jumpext.jl")
|
||||
include("model/dist.jl")
|
||||
include("model/build.jl")
|
||||
include("model/getsol.jl")
|
||||
include("model/resolve.jl")
|
||||
include("model/solve.jl")
|
||||
include("reports/plant_emissions.jl")
|
||||
include("reports/plant_outputs.jl")
|
||||
include("reports/plants.jl")
|
||||
include("reports/products.jl")
|
||||
include("reports/tr_emissions.jl")
|
||||
include("reports/tr.jl")
|
||||
include("reports/write.jl")
|
||||
include("web/web.jl")
|
||||
end
|
||||
include("reports/transportation.jl")
|
||||
include("reports/centers.jl")
|
||||
|
||||
end # module RELOG
|
||||
|
||||
@ -1,97 +0,0 @@
|
||||
# RELOG: Reverse Logistics Optimization
|
||||
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
|
||||
# Released under the modified BSD license. See COPYING.md for more details.
|
||||
|
||||
function build_graph(instance::Instance)::Graph
|
||||
arcs = []
|
||||
next_index = 0
|
||||
process_nodes = ProcessNode[]
|
||||
plant_shipping_nodes = ShippingNode[]
|
||||
collection_shipping_nodes = ShippingNode[]
|
||||
|
||||
name_to_process_node_map = Dict{Tuple{AbstractString,AbstractString},ProcessNode}()
|
||||
collection_center_to_node = Dict()
|
||||
|
||||
process_nodes_by_input_product =
|
||||
Dict(product => ProcessNode[] for product in instance.products)
|
||||
shipping_nodes_by_plant = Dict(plant => [] for plant in instance.plants)
|
||||
|
||||
# Build collection center shipping nodes
|
||||
for center in instance.collection_centers
|
||||
node = ShippingNode(next_index, center, center.product, [], [])
|
||||
next_index += 1
|
||||
collection_center_to_node[center] = node
|
||||
push!(collection_shipping_nodes, node)
|
||||
end
|
||||
|
||||
# Build process and shipping nodes for plants
|
||||
for plant in instance.plants
|
||||
pn = ProcessNode(next_index, plant, [], [])
|
||||
next_index += 1
|
||||
push!(process_nodes, pn)
|
||||
push!(process_nodes_by_input_product[plant.input], pn)
|
||||
|
||||
name_to_process_node_map[(plant.plant_name, plant.location_name)] = pn
|
||||
|
||||
for product in keys(plant.output)
|
||||
sn = ShippingNode(next_index, plant, product, [], [])
|
||||
next_index += 1
|
||||
push!(plant_shipping_nodes, sn)
|
||||
push!(shipping_nodes_by_plant[plant], sn)
|
||||
end
|
||||
end
|
||||
|
||||
# Build arcs from collection centers to plants, and from one plant to another
|
||||
for source in [collection_shipping_nodes; plant_shipping_nodes]
|
||||
for dest in process_nodes_by_input_product[source.product]
|
||||
source.location != dest.location || continue
|
||||
distance = _calculate_distance(
|
||||
source.location.latitude,
|
||||
source.location.longitude,
|
||||
dest.location.latitude,
|
||||
dest.location.longitude,
|
||||
instance.distance_metric,
|
||||
)
|
||||
values = Dict("distance" => distance)
|
||||
arc = Arc(source, dest, values)
|
||||
push!(source.outgoing_arcs, arc)
|
||||
push!(dest.incoming_arcs, arc)
|
||||
push!(arcs, arc)
|
||||
end
|
||||
end
|
||||
|
||||
# Build arcs from process nodes to shipping nodes within a plant
|
||||
for source in process_nodes
|
||||
plant = source.location
|
||||
for dest in shipping_nodes_by_plant[plant]
|
||||
weight = plant.output[dest.product]
|
||||
values = Dict("weight" => weight)
|
||||
arc = Arc(source, dest, values)
|
||||
push!(source.outgoing_arcs, arc)
|
||||
push!(dest.incoming_arcs, arc)
|
||||
push!(arcs, arc)
|
||||
end
|
||||
end
|
||||
|
||||
return Graph(
|
||||
process_nodes,
|
||||
plant_shipping_nodes,
|
||||
collection_shipping_nodes,
|
||||
arcs,
|
||||
name_to_process_node_map,
|
||||
collection_center_to_node,
|
||||
)
|
||||
end
|
||||
|
||||
|
||||
function print_graph_stats(instance::Instance, graph::Graph)::Nothing
|
||||
@info @sprintf(" %12d time periods", instance.time)
|
||||
@info @sprintf(" %12d process nodes", length(graph.process_nodes))
|
||||
@info @sprintf(" %12d shipping nodes (plant)", length(graph.plant_shipping_nodes))
|
||||
@info @sprintf(
|
||||
" %12d shipping nodes (collection)",
|
||||
length(graph.collection_shipping_nodes)
|
||||
)
|
||||
@info @sprintf(" %12d arcs", length(graph.arcs))
|
||||
return
|
||||
end
|
||||
@ -1,11 +0,0 @@
|
||||
# RELOG: Reverse Logistics Optimization
|
||||
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
|
||||
# Released under the modified BSD license. See COPYING.md for more details.
|
||||
|
||||
function to_csv(graph::Graph)
|
||||
result = ""
|
||||
for a in graph.arcs
|
||||
result *= "$(a.source.index),$(a.dest.index)\n"
|
||||
end
|
||||
return result
|
||||
end
|
||||
@ -1,60 +0,0 @@
|
||||
# RELOG: Reverse Logistics Optimization
|
||||
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
|
||||
# Released under the modified BSD license. See COPYING.md for more details.
|
||||
|
||||
using Geodesy
|
||||
using NearestNeighbors
|
||||
using DataFrames
|
||||
|
||||
function _calculate_distance(
|
||||
source_lat,
|
||||
source_lon,
|
||||
dest_lat,
|
||||
dest_lon,
|
||||
::EuclideanDistance,
|
||||
)::Float64
|
||||
x = LLA(source_lat, source_lon, 0.0)
|
||||
y = LLA(dest_lat, dest_lon, 0.0)
|
||||
return round(euclidean_distance(x, y) / 1000.0, digits = 3)
|
||||
end
|
||||
|
||||
function _calculate_distance(
|
||||
source_lat,
|
||||
source_lon,
|
||||
dest_lat,
|
||||
dest_lon,
|
||||
metric::KnnDrivingDistance,
|
||||
)::Float64
|
||||
if metric.tree === nothing
|
||||
basedir = joinpath(dirname(@__FILE__), "..", "..", "data")
|
||||
csv_filename = joinpath(basedir, "dist_driving.csv")
|
||||
|
||||
# Download pre-computed driving data
|
||||
if !isfile(csv_filename)
|
||||
_download_zip(
|
||||
"https://axavier.org/RELOG/0.6/data/dist_driving_0b9a6ad6.zip",
|
||||
basedir,
|
||||
csv_filename,
|
||||
0x0b9a6ad6,
|
||||
)
|
||||
end
|
||||
|
||||
# Fit kNN model
|
||||
df = DataFrame(CSV.File(csv_filename, missingstring = "NaN"))
|
||||
dropmissing!(df)
|
||||
coords = Matrix(df[!, [:source_lat, :source_lon, :dest_lat, :dest_lon]])'
|
||||
metric.ratios = Matrix(df[!, [:ratio]])
|
||||
metric.tree = KDTree(coords)
|
||||
end
|
||||
|
||||
# Compute Euclidean distance
|
||||
dist_euclidean =
|
||||
_calculate_distance(source_lat, source_lon, dest_lat, dest_lon, EuclideanDistance())
|
||||
|
||||
# Predict ratio
|
||||
idxs, _ = knn(metric.tree, [source_lat, source_lon, dest_lat, dest_lon], 5)
|
||||
ratio_pred = mean(metric.ratios[idxs])
|
||||
dist_pred = round(dist_euclidean * ratio_pred, digits = 3)
|
||||
isfinite(dist_pred) || error("non-finite distance detected: $dist_pred")
|
||||
return dist_pred
|
||||
end
|
||||
@ -1,45 +0,0 @@
|
||||
# RELOG: Reverse Logistics Optimization
|
||||
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
|
||||
# Released under the modified BSD license. See COPYING.md for more details.
|
||||
|
||||
using Geodesy
|
||||
|
||||
abstract type Node end
|
||||
|
||||
mutable struct Arc
|
||||
source::Node
|
||||
dest::Node
|
||||
values::Dict{String,Float64}
|
||||
end
|
||||
|
||||
mutable struct ProcessNode <: Node
|
||||
index::Int
|
||||
location::Plant
|
||||
incoming_arcs::Vector{Arc}
|
||||
outgoing_arcs::Vector{Arc}
|
||||
end
|
||||
|
||||
mutable struct ShippingNode <: Node
|
||||
index::Int
|
||||
location::Union{Plant,CollectionCenter}
|
||||
product::Product
|
||||
incoming_arcs::Vector{Arc}
|
||||
outgoing_arcs::Vector{Arc}
|
||||
end
|
||||
|
||||
mutable struct Graph
|
||||
process_nodes::Vector{ProcessNode}
|
||||
plant_shipping_nodes::Vector{ShippingNode}
|
||||
collection_shipping_nodes::Vector{ShippingNode}
|
||||
arcs::Vector{Arc}
|
||||
name_to_process_node_map::Dict{Tuple{AbstractString,AbstractString},ProcessNode}
|
||||
collection_center_to_node::Dict{CollectionCenter,ShippingNode}
|
||||
end
|
||||
|
||||
function Base.show(io::IO, instance::Graph)
|
||||
print(io, "RELOG graph with ")
|
||||
print(io, "$(length(instance.process_nodes)) process nodes, ")
|
||||
print(io, "$(length(instance.plant_shipping_nodes)) plant shipping nodes, ")
|
||||
print(io, "$(length(instance.collection_shipping_nodes)) collection shipping nodes, ")
|
||||
print(io, "$(length(instance.arcs)) arcs")
|
||||
end
|
||||
@ -1,63 +0,0 @@
|
||||
# RELOG: Reverse Logistics Optimization
|
||||
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
|
||||
# Released under the modified BSD license. See COPYING.md for more details.
|
||||
|
||||
using DataStructures
|
||||
using JSON
|
||||
using JSONSchema
|
||||
using Printf
|
||||
using Statistics
|
||||
|
||||
"""
|
||||
_compress(instance::Instance)
|
||||
|
||||
Create a single-period instance from a multi-period one. Specifically,
|
||||
replaces every time-dependent attribute, such as initial_amounts,
|
||||
by a list with a single element, which is either a sum, an average,
|
||||
or something else that makes sense to that specific attribute.
|
||||
"""
|
||||
function _compress(instance::Instance)::Instance
|
||||
T = instance.time
|
||||
compressed = deepcopy(instance)
|
||||
compressed.time = 1
|
||||
compressed.building_period = [1]
|
||||
|
||||
# Compress products
|
||||
for p in compressed.products
|
||||
p.acquisition_cost = [mean(p.acquisition_cost)]
|
||||
p.disposal_cost = [mean(p.disposal_cost)]
|
||||
p.disposal_limit = [sum(p.disposal_limit)]
|
||||
p.transportation_cost = [mean(p.transportation_cost)]
|
||||
p.transportation_energy = [mean(p.transportation_energy)]
|
||||
for (emission_name, emission_value) in p.transportation_emissions
|
||||
p.transportation_emissions[emission_name] = [mean(emission_value)]
|
||||
end
|
||||
end
|
||||
|
||||
# Compress collection centers
|
||||
for c in compressed.collection_centers
|
||||
c.amount = [maximum(c.amount) * T]
|
||||
end
|
||||
|
||||
# Compress plants
|
||||
for plant in compressed.plants
|
||||
plant.energy = [mean(plant.energy)]
|
||||
for (emission_name, emission_value) in plant.emissions
|
||||
plant.emissions[emission_name] = [mean(emission_value)]
|
||||
end
|
||||
for s in plant.sizes
|
||||
s.capacity *= T
|
||||
s.variable_operating_cost = [mean(s.variable_operating_cost)]
|
||||
s.opening_cost = [s.opening_cost[1]]
|
||||
s.fixed_operating_cost = [sum(s.fixed_operating_cost)]
|
||||
end
|
||||
for (prod_name, disp_limit) in plant.disposal_limit
|
||||
plant.disposal_limit[prod_name] = [sum(disp_limit)]
|
||||
end
|
||||
for (prod_name, disp_cost) in plant.disposal_cost
|
||||
plant.disposal_cost[prod_name] = [mean(disp_cost)]
|
||||
end
|
||||
end
|
||||
|
||||
return compressed
|
||||
end
|
||||
@ -1,212 +0,0 @@
|
||||
# RELOG: Reverse Logistics Optimization
|
||||
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
|
||||
# Released under the modified BSD license. See COPYING.md for more details.
|
||||
|
||||
using CRC
|
||||
using CSV
|
||||
using DataFrames
|
||||
using Shapefile
|
||||
using Statistics
|
||||
using ZipFile
|
||||
using ProgressBars
|
||||
using OrderedCollections
|
||||
|
||||
import Downloads: download
|
||||
import Base: parse
|
||||
|
||||
crc32 = crc(CRC_32)
|
||||
|
||||
struct GeoPoint
|
||||
lat::Float64
|
||||
lon::Float64
|
||||
end
|
||||
|
||||
struct GeoRegion
|
||||
centroid::GeoPoint
|
||||
population::Int
|
||||
GeoRegion(; centroid, population) = new(centroid, population)
|
||||
end
|
||||
|
||||
DB_CACHE = Dict{String,Dict{String,GeoRegion}}()
|
||||
|
||||
function centroid(geom::Shapefile.Polygon)::GeoPoint
|
||||
x_max, x_min, y_max, y_min = -Inf, Inf, -Inf, Inf
|
||||
for p in geom.points
|
||||
x_max = max(x_max, p.x)
|
||||
x_min = min(x_min, p.x)
|
||||
y_max = max(y_max, p.y)
|
||||
y_min = min(y_min, p.y)
|
||||
end
|
||||
x_center = (x_max + x_min) / 2.0
|
||||
y_center = (y_max + y_min) / 2.0
|
||||
return GeoPoint(round(y_center, digits = 5), round(x_center, digits = 5))
|
||||
end
|
||||
|
||||
function _download_file(url, output, expected_crc32)::Nothing
|
||||
if isfile(output)
|
||||
return
|
||||
end
|
||||
mkpath(dirname(output))
|
||||
@info "Downloading: $url"
|
||||
fname = download(url)
|
||||
actual_crc32 = open(crc32, fname)
|
||||
expected_crc32 == actual_crc32 || error("CRC32 mismatch")
|
||||
cp(fname, output)
|
||||
return
|
||||
end
|
||||
|
||||
function _download_zip(url, outputdir, expected_output_file, expected_crc32)::Nothing
|
||||
if isfile(expected_output_file)
|
||||
return
|
||||
end
|
||||
mkpath(outputdir)
|
||||
@info "Downloading: $url"
|
||||
zip_filename = download(url)
|
||||
actual_crc32 = open(crc32, zip_filename)
|
||||
expected_crc32 == actual_crc32 || error("CRC32 mismatch")
|
||||
open(zip_filename) do zip_file
|
||||
zr = ZipFile.Reader(zip_file)
|
||||
for file in zr.files
|
||||
open(joinpath(outputdir, file.name), "w") do output_file
|
||||
write(output_file, read(file))
|
||||
end
|
||||
end
|
||||
end
|
||||
return
|
||||
end
|
||||
|
||||
function _geodb_load_gov_census(;
|
||||
db_name,
|
||||
extract_cols,
|
||||
shp_crc32,
|
||||
shp_filename,
|
||||
shp_url,
|
||||
population_url,
|
||||
population_crc32,
|
||||
population_col,
|
||||
population_preprocess,
|
||||
population_join,
|
||||
)::Dict{String,GeoRegion}
|
||||
basedir = joinpath(dirname(@__FILE__), "..", "..", "data", db_name)
|
||||
csv_filename = "$basedir/locations.csv"
|
||||
if !isfile(csv_filename)
|
||||
# Download required files
|
||||
_download_zip(shp_url, basedir, joinpath(basedir, shp_filename), shp_crc32)
|
||||
_download_file(population_url, "$basedir/population.csv", population_crc32)
|
||||
|
||||
# Read shapefile
|
||||
@info "Processing: $shp_filename"
|
||||
table = Shapefile.Table(joinpath(basedir, shp_filename))
|
||||
geoms = Shapefile.shapes(table)
|
||||
|
||||
# Build empty dataframe
|
||||
df = DataFrame()
|
||||
cols = extract_cols(table, 1)
|
||||
for k in keys(cols)
|
||||
df[!, k] = []
|
||||
end
|
||||
df[!, "latitude"] = Float64[]
|
||||
df[!, "longitude"] = Float64[]
|
||||
|
||||
# Add regions to dataframe
|
||||
for (i, geom) in tqdm(enumerate(geoms))
|
||||
c = centroid(geom)
|
||||
cols = extract_cols(table, i)
|
||||
push!(df, [values(cols)..., c.lat, c.lon])
|
||||
end
|
||||
sort!(df)
|
||||
|
||||
# Join with population data
|
||||
population = DataFrame(CSV.File("$basedir/population.csv"))
|
||||
population_preprocess(population)
|
||||
population = population[:, [population_join, population_col]]
|
||||
rename!(population, population_col => "population")
|
||||
df = leftjoin(df, population, on = population_join)
|
||||
|
||||
# Write output
|
||||
CSV.write(csv_filename, df)
|
||||
end
|
||||
if db_name ∉ keys(DB_CACHE)
|
||||
csv = CSV.File(csv_filename)
|
||||
DB_CACHE[db_name] = Dict(
|
||||
string(row.id) => GeoRegion(
|
||||
centroid = GeoPoint(row.latitude, row.longitude),
|
||||
population = (row.population === missing ? 0 : row.population),
|
||||
) for row in csv
|
||||
)
|
||||
end
|
||||
return DB_CACHE[db_name]
|
||||
end
|
||||
|
||||
# 2018 US counties
|
||||
# -----------------------------------------------------------------------------
|
||||
function _extract_cols_2018_us_county(
|
||||
table::Shapefile.Table,
|
||||
i::Int,
|
||||
)::OrderedDict{String,Any}
|
||||
return OrderedDict(
|
||||
"id" => table.STATEFP[i] * table.COUNTYFP[i],
|
||||
"statefp" => table.STATEFP[i],
|
||||
"countyfp" => table.COUNTYFP[i],
|
||||
"name" => table.NAME[i],
|
||||
)
|
||||
end
|
||||
|
||||
function _population_preprocess_2018_us_county(df)
|
||||
df[!, "id"] = [@sprintf("%02d%03d", row.STATE, row.COUNTY) for row in eachrow(df)]
|
||||
end
|
||||
|
||||
function _geodb_load_2018_us_county()::Dict{String,GeoRegion}
|
||||
return _geodb_load_gov_census(
|
||||
db_name = "2018-us-county",
|
||||
extract_cols = _extract_cols_2018_us_county,
|
||||
shp_crc32 = 0x83eaec6d,
|
||||
shp_filename = "cb_2018_us_county_500k.shp",
|
||||
shp_url = "https://www2.census.gov/geo/tiger/GENZ2018/shp/cb_2018_us_county_500k.zip",
|
||||
population_url = "https://www2.census.gov/programs-surveys/popest/datasets/2010-2019/counties/totals/co-est2019-alldata.csv",
|
||||
population_crc32 = 0xf85b0405,
|
||||
population_col = "POPESTIMATE2019",
|
||||
population_join = "id",
|
||||
population_preprocess = _population_preprocess_2018_us_county,
|
||||
)
|
||||
end
|
||||
|
||||
# US States
|
||||
# -----------------------------------------------------------------------------
|
||||
function _extract_cols_us_state(table::Shapefile.Table, i::Int)::OrderedDict{String,Any}
|
||||
return OrderedDict(
|
||||
"id" => table.STUSPS[i],
|
||||
"statefp" => parse(Int, table.STATEFP[i]),
|
||||
"name" => table.NAME[i],
|
||||
)
|
||||
end
|
||||
|
||||
function _population_preprocess_us_state(df)
|
||||
rename!(df, "STATE" => "statefp")
|
||||
end
|
||||
|
||||
function _geodb_load_us_state()::Dict{String,GeoRegion}
|
||||
return _geodb_load_gov_census(
|
||||
db_name = "us-state",
|
||||
extract_cols = _extract_cols_us_state,
|
||||
shp_crc32 = 0x9469e5ca,
|
||||
shp_filename = "cb_2018_us_state_500k.shp",
|
||||
shp_url = "https://www2.census.gov/geo/tiger/GENZ2018/shp/cb_2018_us_state_500k.zip",
|
||||
population_url = "http://www2.census.gov/programs-surveys/popest/datasets/2010-2019/national/totals/nst-est2019-alldata.csv",
|
||||
population_crc32 = 0x191cc64c,
|
||||
population_col = "POPESTIMATE2019",
|
||||
population_join = "statefp",
|
||||
population_preprocess = _population_preprocess_us_state,
|
||||
)
|
||||
end
|
||||
|
||||
function geodb_load(db_name::AbstractString)::Dict{String,GeoRegion}
|
||||
db_name == "2018-us-county" && return _geodb_load_2018_us_county()
|
||||
db_name == "us-state" && return _geodb_load_us_state()
|
||||
error("Unknown database: $db_name")
|
||||
end
|
||||
|
||||
function geodb_query(name)::GeoRegion
|
||||
db_name, id = split(name, ":")
|
||||
return geodb_load(db_name)[id]
|
||||
end
|
||||
@ -1,233 +1,142 @@
|
||||
# RELOG: Reverse Logistics Optimization
|
||||
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
|
||||
# Released under the modified BSD license. See COPYING.md for more details.
|
||||
|
||||
using DataStructures
|
||||
using JSON
|
||||
using JSONSchema
|
||||
using Printf
|
||||
using Statistics
|
||||
using OrderedCollections
|
||||
|
||||
function parsefile(path::String)::Instance
|
||||
return RELOG.parse(JSON.parsefile(path))
|
||||
return RELOG.parse(JSON.parsefile(path, dicttype = () -> OrderedDict()))
|
||||
end
|
||||
|
||||
function parse(json)::Instance
|
||||
basedir = dirname(@__FILE__)
|
||||
json_schema = JSON.parsefile("$basedir/../schemas/input.json")
|
||||
validate(json, Schema(json_schema))
|
||||
|
||||
T = json["parameters"]["time horizon (years)"]
|
||||
json_schema["definitions"]["TimeSeries"]["minItems"] = T
|
||||
json_schema["definitions"]["TimeSeries"]["maxItems"] = T
|
||||
validate(json, Schema(json_schema))
|
||||
|
||||
building_period = [1]
|
||||
if "building period (years)" in keys(json["parameters"])
|
||||
building_period = json["parameters"]["building period (years)"]
|
||||
# Read parameters
|
||||
time_horizon = json["parameters"]["time horizon (years)"]
|
||||
building_period = json["parameters"]["building period (years)"]
|
||||
|
||||
# Read distance metric
|
||||
distance_metric_str = lowercase(json["parameters"]["distance metric"])
|
||||
if distance_metric_str == "driving"
|
||||
distance_metric = KnnDrivingDistance()
|
||||
elseif distance_metric_str == "euclidean"
|
||||
distance_metric = EuclideanDistance()
|
||||
else
|
||||
error("Invalid distance metric: $distance_metric_str")
|
||||
end
|
||||
|
||||
distance_metric = EuclideanDistance()
|
||||
if "distance metric" in keys(json["parameters"])
|
||||
metric_name = json["parameters"]["distance metric"]
|
||||
if metric_name == "driving"
|
||||
distance_metric = KnnDrivingDistance()
|
||||
elseif metric_name == "Euclidean"
|
||||
# nop
|
||||
else
|
||||
error("Unknown distance metric: $metric_name")
|
||||
end
|
||||
end
|
||||
timeseries(::Nothing; null_val = nothing) = repeat([null_val], time_horizon)
|
||||
timeseries(x::Number; null_val = nothing) = repeat([x], time_horizon)
|
||||
timeseries(x::Array; null_val = nothing) = [xi === nothing ? null_val : xi for xi in x]
|
||||
timeseries(d::OrderedDict; null_val = nothing) =
|
||||
OrderedDict(k => timeseries(v; null_val) for (k, v) in d)
|
||||
|
||||
plants = Plant[]
|
||||
# Read products
|
||||
products = Product[]
|
||||
collection_centers = CollectionCenter[]
|
||||
prod_name_to_product = Dict{String,Product}()
|
||||
|
||||
# Create products
|
||||
for (product_name, product_dict) in json["products"]
|
||||
cost = product_dict["transportation cost (\$/km/tonne)"]
|
||||
energy = zeros(T)
|
||||
emissions = Dict()
|
||||
disposal_limit = zeros(T)
|
||||
disposal_cost = zeros(T)
|
||||
acquisition_cost = zeros(T)
|
||||
|
||||
if "transportation energy (J/km/tonne)" in keys(product_dict)
|
||||
energy = product_dict["transportation energy (J/km/tonne)"]
|
||||
end
|
||||
|
||||
if "transportation emissions (tonne/km/tonne)" in keys(product_dict)
|
||||
emissions = product_dict["transportation emissions (tonne/km/tonne)"]
|
||||
end
|
||||
|
||||
if "disposal limit (tonne)" in keys(product_dict)
|
||||
disposal_limit = product_dict["disposal limit (tonne)"]
|
||||
end
|
||||
|
||||
if "disposal cost (\$/tonne)" in keys(product_dict)
|
||||
disposal_cost = product_dict["disposal cost (\$/tonne)"]
|
||||
end
|
||||
products_by_name = OrderedDict{String,Product}()
|
||||
for (name, pdict) in json["products"]
|
||||
tr_cost = timeseries(pdict["transportation cost (\$/km/tonne)"])
|
||||
tr_energy = timeseries(pdict["transportation energy (J/km/tonne)"])
|
||||
tr_emissions = timeseries(pdict["transportation emissions (tonne/km/tonne)"])
|
||||
disposal_limit = timeseries(pdict["disposal limit (tonne)"], null_val = Inf)
|
||||
prod = Product(; name, tr_cost, tr_energy, tr_emissions, disposal_limit)
|
||||
push!(products, prod)
|
||||
products_by_name[name] = prod
|
||||
end
|
||||
|
||||
if "acquisition cost (\$/tonne)" in keys(product_dict)
|
||||
acquisition_cost = product_dict["acquisition cost (\$/tonne)"]
|
||||
# Read centers
|
||||
centers = Center[]
|
||||
centers_by_name = OrderedDict{String,Center}()
|
||||
for (name, cdict) in json["centers"]
|
||||
latitude = cdict["latitude (deg)"]
|
||||
longitude = cdict["longitude (deg)"]
|
||||
input = nothing
|
||||
revenue = [0.0 for t = 1:time_horizon]
|
||||
if cdict["input"] !== nothing
|
||||
input = products_by_name[cdict["input"]]
|
||||
revenue = timeseries(cdict["revenue (\$/tonne)"])
|
||||
end
|
||||
|
||||
prod_centers = []
|
||||
|
||||
product = Product(
|
||||
acquisition_cost = acquisition_cost,
|
||||
collection_centers = prod_centers,
|
||||
disposal_cost = disposal_cost,
|
||||
disposal_limit = disposal_limit,
|
||||
name = product_name,
|
||||
transportation_cost = cost,
|
||||
transportation_emissions = emissions,
|
||||
transportation_energy = energy,
|
||||
outputs = [products_by_name[p] for p in cdict["outputs"]]
|
||||
operating_cost = timeseries(cdict["operating cost (\$)"])
|
||||
prod_dict(key, null_val) =
|
||||
OrderedDict(p => timeseries(cdict[key][p.name]; null_val) for p in outputs)
|
||||
fixed_output = prod_dict("fixed output (tonne)", 0.0)
|
||||
var_output = prod_dict("variable output (tonne/tonne)", 0.0)
|
||||
collection_cost = prod_dict("collection cost (\$/tonne)", 0.0)
|
||||
disposal_limit = prod_dict("disposal limit (tonne)", Inf)
|
||||
disposal_cost = prod_dict("disposal cost (\$/tonne)", 0.0)
|
||||
|
||||
center = Center(;
|
||||
name,
|
||||
latitude,
|
||||
longitude,
|
||||
input,
|
||||
outputs,
|
||||
revenue,
|
||||
operating_cost,
|
||||
fixed_output,
|
||||
var_output,
|
||||
collection_cost,
|
||||
disposal_cost,
|
||||
disposal_limit,
|
||||
)
|
||||
push!(products, product)
|
||||
prod_name_to_product[product_name] = product
|
||||
|
||||
# Create collection centers
|
||||
if "initial amounts" in keys(product_dict)
|
||||
for (center_name, center_dict) in product_dict["initial amounts"]
|
||||
if "location" in keys(center_dict)
|
||||
region = geodb_query(center_dict["location"])
|
||||
center_dict["latitude (deg)"] = region.centroid.lat
|
||||
center_dict["longitude (deg)"] = region.centroid.lon
|
||||
end
|
||||
center = CollectionCenter(
|
||||
amount = center_dict["amount (tonne)"],
|
||||
index = length(collection_centers) + 1,
|
||||
latitude = center_dict["latitude (deg)"],
|
||||
longitude = center_dict["longitude (deg)"],
|
||||
name = center_name,
|
||||
product = product,
|
||||
)
|
||||
push!(prod_centers, center)
|
||||
push!(collection_centers, center)
|
||||
end
|
||||
end
|
||||
push!(centers, center)
|
||||
centers_by_name[name] = center
|
||||
end
|
||||
|
||||
# Create plants
|
||||
for (plant_name, plant_dict) in json["plants"]
|
||||
input = prod_name_to_product[plant_dict["input"]]
|
||||
output = Dict()
|
||||
plants = Plant[]
|
||||
plants_by_name = OrderedDict{String,Plant}()
|
||||
for (name, pdict) in json["plants"]
|
||||
prod_dict(key; scale = 1.0, null_val = Inf) = OrderedDict{Product,Vector{Float64}}(
|
||||
products_by_name[p] => [
|
||||
v === nothing ? null_val : v * scale for v in timeseries(pdict[key][p])
|
||||
] for p in keys(pdict[key])
|
||||
)
|
||||
|
||||
# Plant outputs
|
||||
if "outputs (tonne/tonne)" in keys(plant_dict)
|
||||
output = Dict(
|
||||
prod_name_to_product[key] => value for
|
||||
(key, value) in plant_dict["outputs (tonne/tonne)"] if value > 0
|
||||
latitude = pdict["latitude (deg)"]
|
||||
longitude = pdict["longitude (deg)"]
|
||||
input_mix = prod_dict("input mix (%)", scale = 0.01)
|
||||
output = prod_dict("output (tonne)")
|
||||
emissions = timeseries(pdict["processing emissions (tonne)"])
|
||||
storage_cost = prod_dict("storage cost (\$/tonne)")
|
||||
storage_limit = prod_dict("storage limit (tonne)")
|
||||
disposal_cost = prod_dict("disposal cost (\$/tonne)")
|
||||
disposal_limit = prod_dict("disposal limit (tonne)")
|
||||
initial_capacity = pdict["initial capacity (tonne)"]
|
||||
capacities = PlantCapacity[]
|
||||
for cdict in pdict["capacities"]
|
||||
size = cdict["size (tonne)"]
|
||||
opening_cost = timeseries(cdict["opening cost (\$)"])
|
||||
fix_operating_cost = timeseries(cdict["fixed operating cost (\$)"])
|
||||
var_operating_cost = timeseries(cdict["variable operating cost (\$/tonne)"])
|
||||
push!(
|
||||
capacities,
|
||||
PlantCapacity(; size, opening_cost, fix_operating_cost, var_operating_cost),
|
||||
)
|
||||
end
|
||||
|
||||
energy = zeros(T)
|
||||
emissions = Dict()
|
||||
|
||||
if "energy (GJ/tonne)" in keys(plant_dict)
|
||||
energy = plant_dict["energy (GJ/tonne)"]
|
||||
end
|
||||
|
||||
if "emissions (tonne/tonne)" in keys(plant_dict)
|
||||
emissions = plant_dict["emissions (tonne/tonne)"]
|
||||
end
|
||||
|
||||
for (location_name, location_dict) in plant_dict["locations"]
|
||||
sizes = PlantSize[]
|
||||
disposal_limit = Dict(p => [0.0 for t = 1:T] for p in keys(output))
|
||||
disposal_cost = Dict(p => [0.0 for t = 1:T] for p in keys(output))
|
||||
|
||||
# GeoDB
|
||||
if "location" in keys(location_dict)
|
||||
region = geodb_query(location_dict["location"])
|
||||
location_dict["latitude (deg)"] = region.centroid.lat
|
||||
location_dict["longitude (deg)"] = region.centroid.lon
|
||||
end
|
||||
|
||||
# Disposal
|
||||
if "disposal" in keys(location_dict)
|
||||
for (product_name, disposal_dict) in location_dict["disposal"]
|
||||
limit = [1e8 for t = 1:T]
|
||||
if "limit (tonne)" in keys(disposal_dict)
|
||||
limit = disposal_dict["limit (tonne)"]
|
||||
end
|
||||
disposal_limit[prod_name_to_product[product_name]] = limit
|
||||
disposal_cost[prod_name_to_product[product_name]] =
|
||||
disposal_dict["cost (\$/tonne)"]
|
||||
end
|
||||
end
|
||||
|
||||
# Capacities
|
||||
for (capacity_name, capacity_dict) in location_dict["capacities (tonne)"]
|
||||
push!(
|
||||
sizes,
|
||||
PlantSize(
|
||||
capacity = Base.parse(Float64, capacity_name),
|
||||
fixed_operating_cost = capacity_dict["fixed operating cost (\$)"],
|
||||
opening_cost = capacity_dict["opening cost (\$)"],
|
||||
variable_operating_cost = capacity_dict["variable operating cost (\$/tonne)"],
|
||||
),
|
||||
)
|
||||
end
|
||||
length(sizes) > 1 || push!(sizes, deepcopy(sizes[1]))
|
||||
sort!(sizes, by = x -> x.capacity)
|
||||
|
||||
# Initial capacity
|
||||
initial_capacity = 0
|
||||
if "initial capacity (tonne)" in keys(location_dict)
|
||||
initial_capacity = location_dict["initial capacity (tonne)"]
|
||||
end
|
||||
|
||||
# Storage
|
||||
storage_limit = 0
|
||||
storage_cost = zeros(T)
|
||||
if "storage" in keys(location_dict)
|
||||
storage_dict = location_dict["storage"]
|
||||
storage_limit = storage_dict["limit (tonne)"]
|
||||
storage_cost = storage_dict["cost (\$/tonne)"]
|
||||
end
|
||||
|
||||
# Validation: Capacities
|
||||
if length(sizes) != 2
|
||||
throw("At most two capacities are supported")
|
||||
end
|
||||
if sizes[1].variable_operating_cost != sizes[2].variable_operating_cost
|
||||
throw("Variable operating costs must be the same for all capacities")
|
||||
end
|
||||
|
||||
plant = Plant(
|
||||
disposal_cost = disposal_cost,
|
||||
disposal_limit = disposal_limit,
|
||||
emissions = emissions,
|
||||
energy = energy,
|
||||
index = length(plants) + 1,
|
||||
initial_capacity = initial_capacity,
|
||||
input = input,
|
||||
latitude = location_dict["latitude (deg)"],
|
||||
location_name = location_name,
|
||||
longitude = location_dict["longitude (deg)"],
|
||||
output = output,
|
||||
plant_name = plant_name,
|
||||
sizes = sizes,
|
||||
storage_cost = storage_cost,
|
||||
storage_limit = storage_limit,
|
||||
)
|
||||
|
||||
push!(plants, plant)
|
||||
end
|
||||
plant = Plant(;
|
||||
name,
|
||||
latitude,
|
||||
longitude,
|
||||
input_mix,
|
||||
output,
|
||||
emissions,
|
||||
storage_cost,
|
||||
storage_limit,
|
||||
disposal_cost,
|
||||
disposal_limit,
|
||||
capacities,
|
||||
initial_capacity,
|
||||
)
|
||||
push!(plants, plant)
|
||||
plants_by_name[name] = plant
|
||||
end
|
||||
|
||||
@info @sprintf("%12d collection centers", length(collection_centers))
|
||||
@info @sprintf("%12d candidate plant locations", length(plants))
|
||||
|
||||
return Instance(
|
||||
time = T,
|
||||
products = products,
|
||||
collection_centers = collection_centers,
|
||||
plants = plants,
|
||||
building_period = building_period,
|
||||
distance_metric = distance_metric,
|
||||
return Instance(;
|
||||
time_horizon,
|
||||
building_period,
|
||||
distance_metric,
|
||||
products,
|
||||
products_by_name,
|
||||
centers,
|
||||
centers_by_name,
|
||||
plants,
|
||||
plants_by_name,
|
||||
)
|
||||
end
|
||||
|
||||
@ -1,73 +1,67 @@
|
||||
# RELOG: Reverse Logistics Optimization
|
||||
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
|
||||
# Released under the modified BSD license. See COPYING.md for more details.
|
||||
using OrderedCollections
|
||||
|
||||
using DataStructures
|
||||
using JSON
|
||||
using JSONSchema
|
||||
using Printf
|
||||
using Statistics
|
||||
abstract type DistanceMetric end
|
||||
|
||||
Base.@kwdef mutable struct Product
|
||||
acquisition_cost::Vector{Float64}
|
||||
collection_centers::Vector
|
||||
disposal_cost::Vector{Float64}
|
||||
disposal_limit::Vector{Float64}
|
||||
Base.@kwdef mutable struct KnnDrivingDistance <: DistanceMetric
|
||||
tree = nothing
|
||||
ratios = nothing
|
||||
end
|
||||
|
||||
mutable struct EuclideanDistance <: DistanceMetric end
|
||||
|
||||
Base.@kwdef struct Product
|
||||
name::String
|
||||
transportation_cost::Vector{Float64}
|
||||
transportation_emissions::Dict{String,Vector{Float64}}
|
||||
transportation_energy::Vector{Float64}
|
||||
tr_cost::Vector{Float64}
|
||||
tr_energy::Vector{Float64}
|
||||
tr_emissions::OrderedDict{String,Vector{Float64}}
|
||||
disposal_limit::Vector{Float64}
|
||||
end
|
||||
|
||||
Base.@kwdef mutable struct CollectionCenter
|
||||
amount::Vector{Float64}
|
||||
index::Int64
|
||||
Base.@kwdef struct Center
|
||||
name::String
|
||||
latitude::Float64
|
||||
longitude::Float64
|
||||
name::String
|
||||
product::Product
|
||||
input::Union{Product,Nothing}
|
||||
outputs::Vector{Product}
|
||||
fixed_output::OrderedDict{Product,Vector{Float64}}
|
||||
var_output::OrderedDict{Product,Vector{Float64}}
|
||||
revenue::Vector{Float64}
|
||||
collection_cost::OrderedDict{Product,Vector{Float64}}
|
||||
operating_cost::Vector{Float64}
|
||||
disposal_limit::OrderedDict{Product,Vector{Float64}}
|
||||
disposal_cost::OrderedDict{Product,Vector{Float64}}
|
||||
end
|
||||
|
||||
Base.@kwdef mutable struct PlantSize
|
||||
capacity::Float64
|
||||
fixed_operating_cost::Vector{Float64}
|
||||
Base.@kwdef struct PlantCapacity
|
||||
size::Float64
|
||||
opening_cost::Vector{Float64}
|
||||
variable_operating_cost::Vector{Float64}
|
||||
fix_operating_cost::Vector{Float64}
|
||||
var_operating_cost::Vector{Float64}
|
||||
end
|
||||
|
||||
Base.@kwdef mutable struct Plant
|
||||
disposal_cost::Dict{Product,Vector{Float64}}
|
||||
disposal_limit::Dict{Product,Vector{Float64}}
|
||||
emissions::Dict{String,Vector{Float64}}
|
||||
energy::Vector{Float64}
|
||||
index::Int64
|
||||
initial_capacity::Float64
|
||||
input::Product
|
||||
Base.@kwdef struct Plant
|
||||
name::String
|
||||
latitude::Float64
|
||||
location_name::String
|
||||
longitude::Float64
|
||||
output::Dict{Product,Float64}
|
||||
plant_name::String
|
||||
sizes::Vector{PlantSize}
|
||||
storage_cost::Vector{Float64}
|
||||
storage_limit::Float64
|
||||
end
|
||||
|
||||
|
||||
abstract type DistanceMetric end
|
||||
|
||||
Base.@kwdef mutable struct KnnDrivingDistance <: DistanceMetric
|
||||
tree = nothing
|
||||
ratios = nothing
|
||||
input_mix::OrderedDict{Product,Vector{Float64}}
|
||||
output::OrderedDict{Product,Vector{Float64}}
|
||||
emissions::OrderedDict{String,Vector{Float64}}
|
||||
storage_cost::OrderedDict{Product,Vector{Float64}}
|
||||
storage_limit::OrderedDict{Product,Vector{Float64}}
|
||||
disposal_cost::OrderedDict{Product,Vector{Float64}}
|
||||
disposal_limit::OrderedDict{Product,Vector{Float64}}
|
||||
capacities::Vector{PlantCapacity}
|
||||
initial_capacity::Float64
|
||||
end
|
||||
|
||||
mutable struct EuclideanDistance <: DistanceMetric end
|
||||
|
||||
Base.@kwdef mutable struct Instance
|
||||
building_period::Vector{Int64}
|
||||
collection_centers::Vector{CollectionCenter}
|
||||
Base.@kwdef struct Instance
|
||||
building_period::Vector{Int}
|
||||
centers_by_name::OrderedDict{String,Center}
|
||||
centers::Vector{Center}
|
||||
distance_metric::DistanceMetric
|
||||
plants::Vector{Plant}
|
||||
products_by_name::OrderedDict{String,Product}
|
||||
products::Vector{Product}
|
||||
time::Int64
|
||||
time_horizon::Int
|
||||
plants::Vector{Plant}
|
||||
plants_by_name::OrderedDict{String,Plant}
|
||||
end
|
||||
|
||||
@ -1,21 +0,0 @@
|
||||
# RELOG: Reverse Logistics Optimization
|
||||
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
|
||||
# Released under the modified BSD license. See COPYING.md for more details.
|
||||
|
||||
using DataStructures
|
||||
using JSON
|
||||
using JSONSchema
|
||||
using Printf
|
||||
using Statistics
|
||||
|
||||
function validate(json, schema)
|
||||
result = JSONSchema.validate(json, schema)
|
||||
if result !== nothing
|
||||
if result isa JSONSchema.SingleIssue
|
||||
msg = "$(result.reason) in $(result.path)"
|
||||
else
|
||||
msg = convert(String, result)
|
||||
end
|
||||
throw("Error parsing input file: $(msg)")
|
||||
end
|
||||
end
|
||||
@ -0,0 +1,110 @@
|
||||
# RELOG: Reverse Logistics Optimization
|
||||
# Copyright (C) 2020-2025, UChicago Argonne, LLC. All rights reserved.
|
||||
# Released under the modified BSD license. See COPYING.md for more details.
|
||||
|
||||
using Geodesy
|
||||
using NearestNeighbors
|
||||
using DataFrames
|
||||
using CRC
|
||||
using ZipFile
|
||||
using Statistics
|
||||
using TimerOutputs
|
||||
|
||||
crc32 = crc(CRC_32)
|
||||
|
||||
function _calculate_distance(
|
||||
source_lat,
|
||||
source_lon,
|
||||
dest_lat,
|
||||
dest_lon,
|
||||
::EuclideanDistance,
|
||||
)::Float64
|
||||
x = LLA(source_lat, source_lon, 0.0)
|
||||
y = LLA(dest_lat, dest_lon, 0.0)
|
||||
return round(euclidean_distance(x, y) / 1000.0, digits = 3)
|
||||
end
|
||||
|
||||
function _download_file(url, output, expected_crc32)::Nothing
|
||||
if isfile(output)
|
||||
return
|
||||
end
|
||||
mkpath(dirname(output))
|
||||
@info "Downloading: $url"
|
||||
fname = download(url)
|
||||
actual_crc32 = open(crc32, fname)
|
||||
expected_crc32 == actual_crc32 || error("CRC32 mismatch")
|
||||
cp(fname, output)
|
||||
return
|
||||
end
|
||||
|
||||
function _download_zip(url, outputdir, expected_output_file, expected_crc32)::Nothing
|
||||
if isfile(expected_output_file)
|
||||
return
|
||||
end
|
||||
mkpath(outputdir)
|
||||
@info "Downloading: $url"
|
||||
zip_filename = download(url)
|
||||
actual_crc32 = open(crc32, zip_filename)
|
||||
expected_crc32 == actual_crc32 || error("CRC32 mismatch")
|
||||
open(zip_filename) do zip_file
|
||||
zr = ZipFile.Reader(zip_file)
|
||||
for file in zr.files
|
||||
open(joinpath(outputdir, file.name), "w") do output_file
|
||||
write(output_file, read(file))
|
||||
end
|
||||
end
|
||||
end
|
||||
return
|
||||
end
|
||||
|
||||
function _calculate_distance(
|
||||
source_lat,
|
||||
source_lon,
|
||||
dest_lat,
|
||||
dest_lon,
|
||||
metric::KnnDrivingDistance,
|
||||
)::Float64
|
||||
if metric.tree === nothing
|
||||
basedir = joinpath(dirname(@__FILE__), "data")
|
||||
csv_filename = joinpath(basedir, "dist_driving.csv")
|
||||
|
||||
# Download pre-computed driving data
|
||||
@timeit "Download data" begin
|
||||
if !isfile(csv_filename)
|
||||
_download_zip(
|
||||
"https://axavier.org/RELOG/0.6/data/dist_driving_0b9a6ad6.zip",
|
||||
basedir,
|
||||
csv_filename,
|
||||
0x0b9a6ad6,
|
||||
)
|
||||
end
|
||||
end
|
||||
|
||||
@timeit "Fit KNN model" begin
|
||||
df = DataFrame(CSV.File(csv_filename, missingstring = "NaN"))
|
||||
dropmissing!(df)
|
||||
coords = Matrix(df[!, [:source_lat, :source_lon, :dest_lat, :dest_lon]])'
|
||||
metric.ratios = Matrix(df[!, [:ratio]])
|
||||
metric.tree = KDTree(coords)
|
||||
end
|
||||
end
|
||||
|
||||
@timeit "Compute Euclidean distance" begin
|
||||
dist_euclidean = _calculate_distance(
|
||||
source_lat,
|
||||
source_lon,
|
||||
dest_lat,
|
||||
dest_lon,
|
||||
EuclideanDistance(),
|
||||
)
|
||||
end
|
||||
|
||||
@timeit "Predict driving distance" begin
|
||||
idxs, _ = knn(metric.tree, [source_lat, source_lon, dest_lat, dest_lon], 5)
|
||||
ratio_pred = mean(metric.ratios[idxs])
|
||||
dist_pred = round(dist_euclidean * ratio_pred, digits = 3)
|
||||
isfinite(dist_pred) || error("non-finite distance detected: $dist_pred")
|
||||
end
|
||||
|
||||
return dist_pred
|
||||
end
|
||||
@ -1,243 +0,0 @@
|
||||
# RELOG: Reverse Logistics Optimization
|
||||
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
|
||||
# Released under the modified BSD license. See COPYING.md for more details.
|
||||
|
||||
using JuMP, LinearAlgebra, Geodesy, ProgressBars, Printf, DataStructures
|
||||
|
||||
function get_solution(model::JuMP.Model; marginal_costs = true)
|
||||
graph, instance = model[:graph], model[:instance]
|
||||
T = instance.time
|
||||
|
||||
output = OrderedDict(
|
||||
"Plants" => OrderedDict(),
|
||||
"Products" => OrderedDict(),
|
||||
"Costs" => OrderedDict(
|
||||
"Fixed operating (\$)" => zeros(T),
|
||||
"Variable operating (\$)" => zeros(T),
|
||||
"Opening (\$)" => zeros(T),
|
||||
"Transportation (\$)" => zeros(T),
|
||||
"Disposal (\$)" => zeros(T),
|
||||
"Expansion (\$)" => zeros(T),
|
||||
"Storage (\$)" => zeros(T),
|
||||
"Total (\$)" => zeros(T),
|
||||
),
|
||||
"Energy" =>
|
||||
OrderedDict("Plants (GJ)" => zeros(T), "Transportation (GJ)" => zeros(T)),
|
||||
"Emissions" => OrderedDict(
|
||||
"Plants (tonne)" => OrderedDict(),
|
||||
"Transportation (tonne)" => OrderedDict(),
|
||||
),
|
||||
)
|
||||
|
||||
plant_to_process_node = OrderedDict(n.location => n for n in graph.process_nodes)
|
||||
plant_to_shipping_nodes = OrderedDict()
|
||||
for p in instance.plants
|
||||
plant_to_shipping_nodes[p] = []
|
||||
for a in plant_to_process_node[p].outgoing_arcs
|
||||
push!(plant_to_shipping_nodes[p], a.dest)
|
||||
end
|
||||
end
|
||||
|
||||
# Products
|
||||
for n in graph.collection_shipping_nodes
|
||||
location_dict = OrderedDict{Any,Any}(
|
||||
"Latitude (deg)" => n.location.latitude,
|
||||
"Longitude (deg)" => n.location.longitude,
|
||||
"Amount (tonne)" => n.location.amount,
|
||||
"Dispose (tonne)" =>
|
||||
[JuMP.value(model[:collection_dispose][n, t]) for t = 1:T],
|
||||
"Acquisition cost (\$)" => [
|
||||
(n.location.amount[t] - JuMP.value(model[:collection_dispose][n, t])) * n.location.product.acquisition_cost[t] for t = 1:T
|
||||
],
|
||||
"Disposal cost (\$)" => [
|
||||
(
|
||||
JuMP.value(model[:collection_dispose][n, t]) *
|
||||
n.location.product.disposal_cost[t]
|
||||
) for t = 1:T
|
||||
],
|
||||
)
|
||||
if marginal_costs
|
||||
location_dict["Marginal cost (\$/tonne)"] = [
|
||||
round(abs(JuMP.shadow_price(model[:eq_balance][n, t])), digits = 2) for
|
||||
t = 1:T
|
||||
]
|
||||
end
|
||||
if n.product.name ∉ keys(output["Products"])
|
||||
output["Products"][n.product.name] = OrderedDict()
|
||||
end
|
||||
output["Products"][n.product.name][n.location.name] = location_dict
|
||||
end
|
||||
|
||||
# Plants
|
||||
for plant in instance.plants
|
||||
skip_plant = true
|
||||
process_node = plant_to_process_node[plant]
|
||||
plant_dict = OrderedDict{Any,Any}(
|
||||
"Input" => OrderedDict(),
|
||||
"Output" =>
|
||||
OrderedDict("Send" => OrderedDict(), "Dispose" => OrderedDict()),
|
||||
"Input product" => plant.input.name,
|
||||
"Total input (tonne)" => [0.0 for t = 1:T],
|
||||
"Total output" => OrderedDict(),
|
||||
"Latitude (deg)" => plant.latitude,
|
||||
"Longitude (deg)" => plant.longitude,
|
||||
"Capacity (tonne)" =>
|
||||
[JuMP.value(model[:capacity][process_node, t]) for t = 1:T],
|
||||
"Opening cost (\$)" => [
|
||||
JuMP.value(model[:open_plant][process_node, t]) *
|
||||
plant.sizes[1].opening_cost[t] for t = 1:T
|
||||
],
|
||||
"Fixed operating cost (\$)" => [
|
||||
JuMP.value(model[:is_open][process_node, t]) *
|
||||
plant.sizes[1].fixed_operating_cost[t] +
|
||||
JuMP.value(model[:expansion][process_node, t]) *
|
||||
slope_fix_oper_cost(plant, t) for t = 1:T
|
||||
],
|
||||
"Expansion cost (\$)" => [
|
||||
(
|
||||
if t == 1
|
||||
slope_open(plant, t) * (
|
||||
JuMP.value(model[:expansion][process_node, t]) -
|
||||
model[:expansion][process_node, 0]
|
||||
)
|
||||
else
|
||||
slope_open(plant, t) * (
|
||||
JuMP.value(model[:expansion][process_node, t]) -
|
||||
JuMP.value(model[:expansion][process_node, t-1])
|
||||
)
|
||||
end
|
||||
) for t = 1:T
|
||||
],
|
||||
"Process (tonne)" =>
|
||||
[JuMP.value(model[:process][process_node, t]) for t = 1:T],
|
||||
"Variable operating cost (\$)" => [
|
||||
JuMP.value(model[:process][process_node, t]) *
|
||||
plant.sizes[1].variable_operating_cost[t] for t = 1:T
|
||||
],
|
||||
"Storage (tonne)" =>
|
||||
[JuMP.value(model[:store][process_node, t]) for t = 1:T],
|
||||
"Storage cost (\$)" => [
|
||||
JuMP.value(model[:store][process_node, t]) * plant.storage_cost[t]
|
||||
for t = 1:T
|
||||
],
|
||||
)
|
||||
output["Costs"]["Fixed operating (\$)"] += plant_dict["Fixed operating cost (\$)"]
|
||||
output["Costs"]["Variable operating (\$)"] +=
|
||||
plant_dict["Variable operating cost (\$)"]
|
||||
output["Costs"]["Opening (\$)"] += plant_dict["Opening cost (\$)"]
|
||||
output["Costs"]["Expansion (\$)"] += plant_dict["Expansion cost (\$)"]
|
||||
output["Costs"]["Storage (\$)"] += plant_dict["Storage cost (\$)"]
|
||||
|
||||
# Inputs
|
||||
for a in process_node.incoming_arcs
|
||||
vals = [JuMP.value(model[:flow][a, t]) for t = 1:T]
|
||||
if sum(vals) <= 1e-3
|
||||
continue
|
||||
end
|
||||
skip_plant = false
|
||||
dict = OrderedDict{Any,Any}(
|
||||
"Amount (tonne)" => vals,
|
||||
"Distance (km)" => a.values["distance"],
|
||||
"Latitude (deg)" => a.source.location.latitude,
|
||||
"Longitude (deg)" => a.source.location.longitude,
|
||||
"Transportation cost (\$)" =>
|
||||
a.source.product.transportation_cost .* vals .* a.values["distance"],
|
||||
"Transportation energy (J)" =>
|
||||
vals .* a.values["distance"] .* a.source.product.transportation_energy,
|
||||
"Emissions (tonne)" => OrderedDict(),
|
||||
)
|
||||
emissions_dict = output["Emissions"]["Transportation (tonne)"]
|
||||
for (em_name, em_values) in a.source.product.transportation_emissions
|
||||
dict["Emissions (tonne)"][em_name] =
|
||||
em_values .* dict["Amount (tonne)"] .* a.values["distance"]
|
||||
if em_name ∉ keys(emissions_dict)
|
||||
emissions_dict[em_name] = zeros(T)
|
||||
end
|
||||
emissions_dict[em_name] += dict["Emissions (tonne)"][em_name]
|
||||
end
|
||||
if a.source.location isa CollectionCenter
|
||||
plant_name = "Origin"
|
||||
location_name = a.source.location.name
|
||||
else
|
||||
plant_name = a.source.location.plant_name
|
||||
location_name = a.source.location.location_name
|
||||
end
|
||||
|
||||
if plant_name ∉ keys(plant_dict["Input"])
|
||||
plant_dict["Input"][plant_name] = OrderedDict()
|
||||
end
|
||||
plant_dict["Input"][plant_name][location_name] = dict
|
||||
plant_dict["Total input (tonne)"] += vals
|
||||
output["Costs"]["Transportation (\$)"] += dict["Transportation cost (\$)"]
|
||||
output["Energy"]["Transportation (GJ)"] +=
|
||||
dict["Transportation energy (J)"] / 1e9
|
||||
end
|
||||
|
||||
plant_dict["Energy (GJ)"] = plant_dict["Total input (tonne)"] .* plant.energy
|
||||
output["Energy"]["Plants (GJ)"] += plant_dict["Energy (GJ)"]
|
||||
|
||||
plant_dict["Emissions (tonne)"] = OrderedDict()
|
||||
emissions_dict = output["Emissions"]["Plants (tonne)"]
|
||||
for (em_name, em_values) in plant.emissions
|
||||
plant_dict["Emissions (tonne)"][em_name] =
|
||||
em_values .* plant_dict["Total input (tonne)"]
|
||||
if em_name ∉ keys(emissions_dict)
|
||||
emissions_dict[em_name] = zeros(T)
|
||||
end
|
||||
emissions_dict[em_name] += plant_dict["Emissions (tonne)"][em_name]
|
||||
end
|
||||
|
||||
# Outputs
|
||||
for shipping_node in plant_to_shipping_nodes[plant]
|
||||
product_name = shipping_node.product.name
|
||||
plant_dict["Total output"][product_name] = zeros(T)
|
||||
plant_dict["Output"]["Send"][product_name] = product_dict = OrderedDict()
|
||||
|
||||
disposal_amount =
|
||||
[JuMP.value(model[:plant_dispose][shipping_node, t]) for t = 1:T]
|
||||
if sum(disposal_amount) > 1e-5
|
||||
skip_plant = false
|
||||
plant_dict["Output"]["Dispose"][product_name] =
|
||||
disposal_dict = OrderedDict()
|
||||
disposal_dict["Amount (tonne)"] =
|
||||
[JuMP.value(model[:plant_dispose][shipping_node, t]) for t = 1:T]
|
||||
disposal_dict["Cost (\$)"] = [
|
||||
disposal_dict["Amount (tonne)"][t] *
|
||||
plant.disposal_cost[shipping_node.product][t] for t = 1:T
|
||||
]
|
||||
plant_dict["Total output"][product_name] += disposal_amount
|
||||
output["Costs"]["Disposal (\$)"] += disposal_dict["Cost (\$)"]
|
||||
end
|
||||
|
||||
for a in shipping_node.outgoing_arcs
|
||||
vals = [JuMP.value(model[:flow][a, t]) for t = 1:T]
|
||||
if sum(vals) <= 1e-3
|
||||
continue
|
||||
end
|
||||
skip_plant = false
|
||||
dict = OrderedDict(
|
||||
"Amount (tonne)" => vals,
|
||||
"Distance (km)" => a.values["distance"],
|
||||
"Latitude (deg)" => a.dest.location.latitude,
|
||||
"Longitude (deg)" => a.dest.location.longitude,
|
||||
)
|
||||
if a.dest.location.plant_name ∉ keys(product_dict)
|
||||
product_dict[a.dest.location.plant_name] = OrderedDict()
|
||||
end
|
||||
product_dict[a.dest.location.plant_name][a.dest.location.location_name] =
|
||||
dict
|
||||
plant_dict["Total output"][product_name] += vals
|
||||
end
|
||||
end
|
||||
|
||||
if !skip_plant
|
||||
if plant.plant_name ∉ keys(output["Plants"])
|
||||
output["Plants"][plant.plant_name] = OrderedDict()
|
||||
end
|
||||
output["Plants"][plant.plant_name][plant.location_name] = plant_dict
|
||||
end
|
||||
end
|
||||
|
||||
output["Costs"]["Total (\$)"] = sum(values(output["Costs"]))
|
||||
return output
|
||||
end
|
||||
@ -0,0 +1,47 @@
|
||||
# This file extends some JuMP functions so that decision variables can be safely
|
||||
# replaced by (constant) floating point numbers.
|
||||
|
||||
using Printf
|
||||
using JuMP
|
||||
|
||||
import JuMP: value, fix, set_name
|
||||
|
||||
function value(x::Float64)
|
||||
return x
|
||||
end
|
||||
|
||||
function fix(x::Float64, v::Float64; force)
|
||||
return abs(x - v) < 1e-6 || error("Value mismatch: $x != $v")
|
||||
end
|
||||
|
||||
function set_name(x::Number, n::String)
|
||||
# nop
|
||||
end
|
||||
|
||||
function _init(model::JuMP.Model, key::Symbol)::OrderedDict
|
||||
if !(key in keys(object_dictionary(model)))
|
||||
model[key] = OrderedDict()
|
||||
end
|
||||
return model[key]
|
||||
end
|
||||
|
||||
function _set_names!(model::JuMP.Model)
|
||||
@info "Setting variable and constraint names..."
|
||||
time_varnames = @elapsed begin
|
||||
_set_names!(object_dictionary(model))
|
||||
end
|
||||
@info @sprintf("Set names in %.2f seconds", time_varnames)
|
||||
end
|
||||
|
||||
function _set_names!(dict::Dict)
|
||||
for name in keys(dict)
|
||||
dict[name] isa AbstractDict || continue
|
||||
for idx in keys(dict[name])
|
||||
if dict[name][idx] isa AffExpr
|
||||
continue
|
||||
end
|
||||
idx_str = join(map(string, idx), ",")
|
||||
set_name(dict[name][idx], "$name[$idx_str]")
|
||||
end
|
||||
end
|
||||
end
|
||||
@ -1,113 +0,0 @@
|
||||
# RELOG: Reverse Logistics Optimization
|
||||
# Copyright (C) 2020-2021, UChicago Argonne, LLC. All rights reserved.
|
||||
# Released under the modified BSD license. See COPYING.md for more details.
|
||||
|
||||
using JuMP
|
||||
|
||||
function resolve(model_old, filename::AbstractString; kwargs...)::OrderedDict
|
||||
@info "Reading $filename..."
|
||||
instance = RELOG.parsefile(filename)
|
||||
return resolve(model_old, instance; kwargs...)
|
||||
end
|
||||
|
||||
function resolve(model_old, instance::Instance; optimizer = nothing)::OrderedDict
|
||||
milp_optimizer = lp_optimizer = optimizer
|
||||
if optimizer === nothing
|
||||
milp_optimizer = _get_default_milp_optimizer()
|
||||
lp_optimizer = _get_default_lp_optimizer()
|
||||
end
|
||||
|
||||
@info "Filtering candidate locations..."
|
||||
selected_pairs = Set()
|
||||
for ((node_old, t), var_old) in model_old[:is_open]
|
||||
if JuMP.value(var_old) > 0.1
|
||||
push!(
|
||||
selected_pairs,
|
||||
(node_old.location.plant_name, node_old.location.location_name),
|
||||
)
|
||||
end
|
||||
end
|
||||
filtered_plants = []
|
||||
for p in instance.plants
|
||||
if (p.plant_name, p.location_name) in selected_pairs
|
||||
push!(filtered_plants, p)
|
||||
end
|
||||
end
|
||||
instance.plants = filtered_plants
|
||||
|
||||
@info "Building new graph..."
|
||||
graph = build_graph(instance)
|
||||
_print_graph_stats(instance, graph)
|
||||
|
||||
@info "Building new optimization model..."
|
||||
model_new = RELOG.build_model(instance, graph, milp_optimizer)
|
||||
|
||||
@info "Fixing decision variables..."
|
||||
_fix_plants!(model_old, model_new)
|
||||
JuMP.set_optimizer(model_new, lp_optimizer)
|
||||
|
||||
@info "Optimizing MILP..."
|
||||
JuMP.optimize!(model_new)
|
||||
|
||||
if !has_values(model_new)
|
||||
@warn("No solution available")
|
||||
return OrderedDict()
|
||||
end
|
||||
|
||||
@info "Extracting solution..."
|
||||
solution = get_solution(model_new, marginal_costs = true)
|
||||
|
||||
return solution
|
||||
end
|
||||
|
||||
function _fix_plants!(model_old, model_new)::Nothing
|
||||
T = model_new[:instance].time
|
||||
|
||||
# Fix open_plant variables
|
||||
for ((node_old, t), var_old) in model_old[:open_plant]
|
||||
value_old = JuMP.value(var_old)
|
||||
key = (node_old.location.plant_name, node_old.location.location_name)
|
||||
key ∈ keys(model_new[:graph].name_to_process_node_map) || continue
|
||||
node_new = model_new[:graph].name_to_process_node_map[key]
|
||||
var_new = model_new[:open_plant][node_new, t]
|
||||
JuMP.unset_binary(var_new)
|
||||
JuMP.fix(var_new, value_old)
|
||||
end
|
||||
|
||||
# Fix is_open variables
|
||||
for ((node_old, t), var_old) in model_old[:is_open]
|
||||
t > 0 || continue
|
||||
value_old = JuMP.value(var_old)
|
||||
key = (node_old.location.plant_name, node_old.location.location_name)
|
||||
key ∈ keys(model_new[:graph].name_to_process_node_map) || continue
|
||||
node_new = model_new[:graph].name_to_process_node_map[key]
|
||||
var_new = model_new[:is_open][node_new, t]
|
||||
JuMP.unset_binary(var_new)
|
||||
JuMP.fix(var_new, value_old)
|
||||
end
|
||||
|
||||
# Fix plant capacities
|
||||
for ((node_old, t), var_old) in model_old[:capacity]
|
||||
value_old = JuMP.value(var_old)
|
||||
key = (node_old.location.plant_name, node_old.location.location_name)
|
||||
key ∈ keys(model_new[:graph].name_to_process_node_map) || continue
|
||||
node_new = model_new[:graph].name_to_process_node_map[key]
|
||||
var_new = model_new[:capacity][node_new, t]
|
||||
JuMP.delete_lower_bound(var_new)
|
||||
JuMP.delete_upper_bound(var_new)
|
||||
JuMP.fix(var_new, value_old)
|
||||
end
|
||||
|
||||
# Fix plant expansion
|
||||
for ((node_old, t), var_old) in model_old[:expansion]
|
||||
t > 0 || continue
|
||||
value_old = JuMP.value(var_old)
|
||||
key = (node_old.location.plant_name, node_old.location.location_name)
|
||||
key ∈ keys(model_new[:graph].name_to_process_node_map) || continue
|
||||
node_new = model_new[:graph].name_to_process_node_map[key]
|
||||
var_new = model_new[:expansion][node_new, t]
|
||||
JuMP.delete_lower_bound(var_new)
|
||||
JuMP.delete_upper_bound(var_new)
|
||||
JuMP.fix(var_new, value_old)
|
||||
end
|
||||
end
|
||||
@ -1,129 +0,0 @@
|
||||
# RELOG: Reverse Logistics Optimization
|
||||
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
|
||||
# Released under the modified BSD license. See COPYING.md for more details.
|
||||
|
||||
using JuMP, LinearAlgebra, Geodesy, ProgressBars, Printf, DataStructures, HiGHS
|
||||
|
||||
function _get_default_milp_optimizer()
|
||||
return optimizer_with_attributes(HiGHS.Optimizer)
|
||||
end
|
||||
|
||||
function _get_default_lp_optimizer()
|
||||
return optimizer_with_attributes(HiGHS.Optimizer)
|
||||
end
|
||||
|
||||
|
||||
function _print_graph_stats(instance::Instance, graph::Graph)::Nothing
|
||||
@info @sprintf("%12d time periods", instance.time)
|
||||
@info @sprintf("%12d process nodes", length(graph.process_nodes))
|
||||
@info @sprintf("%12d shipping nodes (plant)", length(graph.plant_shipping_nodes))
|
||||
@info @sprintf(
|
||||
"%12d shipping nodes (collection)",
|
||||
length(graph.collection_shipping_nodes)
|
||||
)
|
||||
@info @sprintf("%12d arcs", length(graph.arcs))
|
||||
return
|
||||
end
|
||||
|
||||
function solve(
|
||||
instance::Instance;
|
||||
optimizer = nothing,
|
||||
lp_optimizer = nothing,
|
||||
output = nothing,
|
||||
marginal_costs = true,
|
||||
return_model = false,
|
||||
graph = nothing,
|
||||
)
|
||||
|
||||
if lp_optimizer == nothing
|
||||
if optimizer == nothing
|
||||
# If neither is provided, use default LP optimizer.
|
||||
lp_optimizer = _get_default_lp_optimizer()
|
||||
else
|
||||
# If only MIP optimizer is provided, use it as
|
||||
# LP solver too.
|
||||
lp_optimizer = optimizer
|
||||
end
|
||||
end
|
||||
|
||||
if optimizer == nothing
|
||||
optimizer = _get_default_milp_optimizer()
|
||||
end
|
||||
|
||||
|
||||
@info "Building graph..."
|
||||
if graph === nothing
|
||||
graph = RELOG.build_graph(instance)
|
||||
end
|
||||
_print_graph_stats(instance, graph)
|
||||
|
||||
@info "Building optimization model..."
|
||||
model = RELOG.build_model(instance, graph, optimizer)
|
||||
|
||||
@info "Optimizing MILP..."
|
||||
JuMP.optimize!(model)
|
||||
|
||||
if !has_values(model)
|
||||
error("No solution available")
|
||||
end
|
||||
|
||||
if marginal_costs
|
||||
@info "Re-optimizing with integer variables fixed..."
|
||||
all_vars = JuMP.all_variables(model)
|
||||
vals = OrderedDict(var => JuMP.value(var) for var in all_vars)
|
||||
JuMP.set_optimizer(model, lp_optimizer)
|
||||
for var in all_vars
|
||||
if JuMP.is_binary(var)
|
||||
JuMP.unset_binary(var)
|
||||
JuMP.fix(var, vals[var])
|
||||
end
|
||||
end
|
||||
JuMP.optimize!(model)
|
||||
end
|
||||
|
||||
@info "Extracting solution..."
|
||||
solution = get_solution(model, marginal_costs = marginal_costs)
|
||||
|
||||
if output != nothing
|
||||
write(solution, output)
|
||||
end
|
||||
|
||||
if return_model
|
||||
return solution, model
|
||||
else
|
||||
return solution
|
||||
end
|
||||
end
|
||||
|
||||
function solve(filename::AbstractString; heuristic = false, kwargs...)
|
||||
@info "Reading $filename..."
|
||||
instance = RELOG.parsefile(filename)
|
||||
if heuristic && instance.time > 1
|
||||
@info "Solving single-period version..."
|
||||
compressed = _compress(instance)
|
||||
csol, _ = solve(
|
||||
compressed;
|
||||
return_model = true,
|
||||
output = nothing,
|
||||
marginal_costs = false,
|
||||
kwargs...,
|
||||
)
|
||||
@info "Filtering candidate locations..."
|
||||
selected_pairs = []
|
||||
for (plant_name, plant_dict) in csol["Plants"]
|
||||
for (location_name, location_dict) in plant_dict
|
||||
push!(selected_pairs, (plant_name, location_name))
|
||||
end
|
||||
end
|
||||
filtered_plants = []
|
||||
for p in instance.plants
|
||||
if (p.plant_name, p.location_name) in selected_pairs
|
||||
push!(filtered_plants, p)
|
||||
end
|
||||
end
|
||||
instance.plants = filtered_plants
|
||||
@info "Solving original version..."
|
||||
end
|
||||
sol = solve(instance; kwargs...)
|
||||
return sol
|
||||
end
|
||||
@ -0,0 +1,101 @@
|
||||
# RELOG: Reverse Logistics Optimization
|
||||
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
|
||||
# Released under the modified BSD license. See COPYING.md for more details.
|
||||
|
||||
using DataFrames
|
||||
using CSV
|
||||
|
||||
function centers_report(model)::DataFrame
|
||||
df = DataFrame()
|
||||
df."center" = String[]
|
||||
df."latitude" = Float64[]
|
||||
df."longitude" = Float64[]
|
||||
df."year" = Int[]
|
||||
df."input product" = String[]
|
||||
df."input amount (tonne)" = Float64[]
|
||||
df."revenue (\$)" = Float64[]
|
||||
df."operating cost (\$)" = Float64[]
|
||||
|
||||
centers = model.ext[:instance].centers
|
||||
T = 1:model.ext[:instance].time_horizon
|
||||
E_in = model.ext[:E_in]
|
||||
|
||||
for c in centers, t in T
|
||||
input_name = (c.input === nothing) ? "" : c.input.name
|
||||
input = value(model[:z_input][c.name, t])
|
||||
if isempty(E_in[c])
|
||||
revenue = 0
|
||||
else
|
||||
revenue = sum(
|
||||
c.revenue[t] * value(model[:y][p.name, c.name, m.name, t]) for
|
||||
(p, m) in E_in[c]
|
||||
)
|
||||
end
|
||||
push!(
|
||||
df,
|
||||
Dict(
|
||||
"center" => c.name,
|
||||
"latitude" => c.latitude,
|
||||
"longitude" => c.longitude,
|
||||
"year" => t,
|
||||
"input product" => input_name,
|
||||
"input amount (tonne)" => _round(input),
|
||||
"revenue (\$)" => _round(revenue),
|
||||
"operating cost (\$)" => _round(c.operating_cost[t]),
|
||||
),
|
||||
)
|
||||
end
|
||||
return df
|
||||
end
|
||||
|
||||
function center_outputs_report(model)::DataFrame
|
||||
df = DataFrame()
|
||||
df."center" = String[]
|
||||
df."latitude" = Float64[]
|
||||
df."longitude" = Float64[]
|
||||
df."output product" = String[]
|
||||
df."year" = Int[]
|
||||
df."amount collected (tonne)" = Float64[]
|
||||
df."amount disposed (tonne)" = Float64[]
|
||||
df."disposal limit (tonne)" = Float64[]
|
||||
df."collection cost (\$)" = Float64[]
|
||||
df."disposal cost (\$)" = Float64[]
|
||||
|
||||
centers = model.ext[:instance].centers
|
||||
T = 1:model.ext[:instance].time_horizon
|
||||
E_out = model.ext[:E_out]
|
||||
|
||||
for c in centers, m in c.outputs, t in T
|
||||
collected = value(model[:z_collected][c.name, m.name, t])
|
||||
disposed = value(model[:z_disp][c.name, m.name, t])
|
||||
disposal_cost = c.disposal_cost[m][t] * disposed
|
||||
if isempty(E_out[c])
|
||||
collection_cost = 0
|
||||
else
|
||||
collection_cost = sum(
|
||||
c.collection_cost[m][t] * value(model[:y][c.name, p.name, m.name, t])
|
||||
for (p, m) in E_out[c]
|
||||
)
|
||||
end
|
||||
push!(
|
||||
df,
|
||||
Dict(
|
||||
"center" => c.name,
|
||||
"latitude" => c.latitude,
|
||||
"longitude" => c.longitude,
|
||||
"output product" => m.name,
|
||||
"year" => t,
|
||||
"amount collected (tonne)" => _round(collected),
|
||||
"amount disposed (tonne)" => _round(disposed),
|
||||
"disposal limit (tonne)" => _round(c.disposal_limit[m][t]),
|
||||
"collection cost (\$)" => _round(collection_cost),
|
||||
"disposal cost (\$)" => _round(disposal_cost),
|
||||
),
|
||||
)
|
||||
end
|
||||
return df
|
||||
end
|
||||
|
||||
write_centers_report(solution, filename) = CSV.write(filename, centers_report(solution))
|
||||
write_center_outputs_report(solution, filename) =
|
||||
CSV.write(filename, center_outputs_report(solution))
|
||||
@ -1,38 +0,0 @@
|
||||
# RELOG: Reverse Logistics Optimization
|
||||
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
|
||||
# Released under the modified BSD license. See COPYING.md for more details.
|
||||
|
||||
using DataFrames
|
||||
using CSV
|
||||
|
||||
function plant_emissions_report(solution)::DataFrame
|
||||
df = DataFrame()
|
||||
df."plant type" = String[]
|
||||
df."location name" = String[]
|
||||
df."year" = Int[]
|
||||
df."emission type" = String[]
|
||||
df."emission amount (tonne)" = Float64[]
|
||||
T = length(solution["Energy"]["Plants (GJ)"])
|
||||
for (plant_name, plant_dict) in solution["Plants"]
|
||||
for (location_name, location_dict) in plant_dict
|
||||
for (emission_name, emission_amount) in location_dict["Emissions (tonne)"]
|
||||
for year = 1:T
|
||||
push!(
|
||||
df,
|
||||
[
|
||||
plant_name,
|
||||
location_name,
|
||||
year,
|
||||
emission_name,
|
||||
round(emission_amount[year], digits = 6),
|
||||
],
|
||||
)
|
||||
end
|
||||
end
|
||||
end
|
||||
end
|
||||
return df
|
||||
end
|
||||
|
||||
write_plant_emissions_report(solution, filename) =
|
||||
CSV.write(filename, plant_emissions_report(solution))
|
||||
@ -1,66 +0,0 @@
|
||||
# RELOG: Reverse Logistics Optimization
|
||||
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
|
||||
# Released under the modified BSD license. See COPYING.md for more details.
|
||||
|
||||
using DataFrames
|
||||
using CSV
|
||||
|
||||
function plant_outputs_report(solution)::DataFrame
|
||||
df = DataFrame()
|
||||
df."plant type" = String[]
|
||||
df."location name" = String[]
|
||||
df."year" = Int[]
|
||||
df."product name" = String[]
|
||||
df."amount produced (tonne)" = Float64[]
|
||||
df."amount sent (tonne)" = Float64[]
|
||||
df."amount disposed (tonne)" = Float64[]
|
||||
df."disposal cost (\$)" = Float64[]
|
||||
T = length(solution["Energy"]["Plants (GJ)"])
|
||||
for (plant_name, plant_dict) in solution["Plants"]
|
||||
for (location_name, location_dict) in plant_dict
|
||||
for (product_name, amount_produced) in location_dict["Total output"]
|
||||
send_dict = location_dict["Output"]["Send"]
|
||||
disposal_dict = location_dict["Output"]["Dispose"]
|
||||
|
||||
sent = zeros(T)
|
||||
if product_name in keys(send_dict)
|
||||
for (dst_plant_name, dst_plant_dict) in send_dict[product_name]
|
||||
for (dst_location_name, dst_location_dict) in dst_plant_dict
|
||||
sent += dst_location_dict["Amount (tonne)"]
|
||||
end
|
||||
end
|
||||
end
|
||||
sent = round.(sent, digits = 6)
|
||||
|
||||
disposal_amount = zeros(T)
|
||||
disposal_cost = zeros(T)
|
||||
if product_name in keys(disposal_dict)
|
||||
disposal_amount += disposal_dict[product_name]["Amount (tonne)"]
|
||||
disposal_cost += disposal_dict[product_name]["Cost (\$)"]
|
||||
end
|
||||
disposal_amount = round.(disposal_amount, digits = 6)
|
||||
disposal_cost = round.(disposal_cost, digits = 6)
|
||||
|
||||
for year = 1:T
|
||||
push!(
|
||||
df,
|
||||
[
|
||||
plant_name,
|
||||
location_name,
|
||||
year,
|
||||
product_name,
|
||||
round(amount_produced[year], digits = 6),
|
||||
sent[year],
|
||||
disposal_amount[year],
|
||||
disposal_cost[year],
|
||||
],
|
||||
)
|
||||
end
|
||||
end
|
||||
end
|
||||
end
|
||||
return df
|
||||
end
|
||||
|
||||
write_plant_outputs_report(solution, filename) =
|
||||
CSV.write(filename, plant_outputs_report(solution))
|
||||
@ -1,57 +0,0 @@
|
||||
# RELOG: Reverse Logistics Optimization
|
||||
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
|
||||
# Released under the modified BSD license. See COPYING.md for more details.
|
||||
|
||||
using DataFrames
|
||||
using CSV
|
||||
|
||||
function products_report(solution; marginal_costs)::DataFrame
|
||||
df = DataFrame()
|
||||
df."product name" = String[]
|
||||
df."location name" = String[]
|
||||
df."latitude (deg)" = Float64[]
|
||||
df."longitude (deg)" = Float64[]
|
||||
df."year" = Int[]
|
||||
df."amount (tonne)" = Float64[]
|
||||
df."amount disposed (tonne)" = Float64[]
|
||||
df."marginal cost (\$/tonne)" = Float64[]
|
||||
df."acquisition cost (\$)" = Float64[]
|
||||
df."disposal cost (\$)" = Float64[]
|
||||
T = length(solution["Energy"]["Plants (GJ)"])
|
||||
for (prod_name, prod_dict) in solution["Products"]
|
||||
for (location_name, location_dict) in prod_dict
|
||||
for year = 1:T
|
||||
if marginal_costs
|
||||
marginal_cost = location_dict["Marginal cost (\$/tonne)"][year]
|
||||
else
|
||||
marginal_cost = 0.0
|
||||
end
|
||||
latitude = round(location_dict["Latitude (deg)"], digits = 6)
|
||||
longitude = round(location_dict["Longitude (deg)"], digits = 6)
|
||||
amount = location_dict["Amount (tonne)"][year]
|
||||
amount_disposed = location_dict["Dispose (tonne)"][year]
|
||||
acquisition_cost = location_dict["Acquisition cost (\$)"][year]
|
||||
disposal_cost = location_dict["Disposal cost (\$)"][year]
|
||||
push!(
|
||||
df,
|
||||
[
|
||||
prod_name,
|
||||
location_name,
|
||||
latitude,
|
||||
longitude,
|
||||
year,
|
||||
amount,
|
||||
amount_disposed,
|
||||
marginal_cost,
|
||||
acquisition_cost,
|
||||
disposal_cost,
|
||||
],
|
||||
)
|
||||
end
|
||||
end
|
||||
end
|
||||
return df
|
||||
end
|
||||
|
||||
write_products_report(solution, filename; marginal_costs = true) =
|
||||
CSV.write(filename, products_report(solution; marginal_costs))
|
||||
@ -1,75 +0,0 @@
|
||||
# RELOG: Reverse Logistics Optimization
|
||||
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
|
||||
# Released under the modified BSD license. See COPYING.md for more details.
|
||||
|
||||
using DataFrames
|
||||
using CSV
|
||||
|
||||
function transportation_report(solution)::DataFrame
|
||||
df = DataFrame()
|
||||
df."source type" = String[]
|
||||
df."source location name" = String[]
|
||||
df."source latitude (deg)" = Float64[]
|
||||
df."source longitude (deg)" = Float64[]
|
||||
df."destination type" = String[]
|
||||
df."destination location name" = String[]
|
||||
df."destination latitude (deg)" = Float64[]
|
||||
df."destination longitude (deg)" = Float64[]
|
||||
df."product" = String[]
|
||||
df."year" = Int[]
|
||||
df."distance (km)" = Float64[]
|
||||
df."amount (tonne)" = Float64[]
|
||||
df."amount-distance (tonne-km)" = Float64[]
|
||||
df."transportation cost (\$)" = Float64[]
|
||||
df."transportation energy (GJ)" = Float64[]
|
||||
|
||||
T = length(solution["Energy"]["Plants (GJ)"])
|
||||
for (dst_plant_name, dst_plant_dict) in solution["Plants"]
|
||||
for (dst_location_name, dst_location_dict) in dst_plant_dict
|
||||
for (src_plant_name, src_plant_dict) in dst_location_dict["Input"]
|
||||
for (src_location_name, src_location_dict) in src_plant_dict
|
||||
for year = 1:T
|
||||
push!(
|
||||
df,
|
||||
[
|
||||
src_plant_name,
|
||||
src_location_name,
|
||||
round(src_location_dict["Latitude (deg)"], digits = 6),
|
||||
round(src_location_dict["Longitude (deg)"], digits = 6),
|
||||
dst_plant_name,
|
||||
dst_location_name,
|
||||
round(dst_location_dict["Latitude (deg)"], digits = 6),
|
||||
round(dst_location_dict["Longitude (deg)"], digits = 6),
|
||||
dst_location_dict["Input product"],
|
||||
year,
|
||||
round(src_location_dict["Distance (km)"], digits = 6),
|
||||
round(
|
||||
src_location_dict["Amount (tonne)"][year],
|
||||
digits = 6,
|
||||
),
|
||||
round(
|
||||
src_location_dict["Amount (tonne)"][year] *
|
||||
src_location_dict["Distance (km)"],
|
||||
digits = 6,
|
||||
),
|
||||
round(
|
||||
src_location_dict["Transportation cost (\$)"][year],
|
||||
digits = 6,
|
||||
),
|
||||
round(
|
||||
src_location_dict["Transportation energy (J)"][year] /
|
||||
1e9,
|
||||
digits = 6,
|
||||
),
|
||||
],
|
||||
)
|
||||
end
|
||||
end
|
||||
end
|
||||
end
|
||||
end
|
||||
return df
|
||||
end
|
||||
|
||||
write_transportation_report(solution, filename) =
|
||||
CSV.write(filename, transportation_report(solution))
|
||||
@ -1,71 +0,0 @@
|
||||
# RELOG: Reverse Logistics Optimization
|
||||
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
|
||||
# Released under the modified BSD license. See COPYING.md for more details.
|
||||
|
||||
using DataFrames
|
||||
using CSV
|
||||
|
||||
function transportation_emissions_report(solution)::DataFrame
|
||||
df = DataFrame()
|
||||
df."source type" = String[]
|
||||
df."source location name" = String[]
|
||||
df."source latitude (deg)" = Float64[]
|
||||
df."source longitude (deg)" = Float64[]
|
||||
df."destination type" = String[]
|
||||
df."destination location name" = String[]
|
||||
df."destination latitude (deg)" = Float64[]
|
||||
df."destination longitude (deg)" = Float64[]
|
||||
df."product" = String[]
|
||||
df."year" = Int[]
|
||||
df."distance (km)" = Float64[]
|
||||
df."shipped amount (tonne)" = Float64[]
|
||||
df."shipped amount-distance (tonne-km)" = Float64[]
|
||||
df."emission type" = String[]
|
||||
df."emission amount (tonne)" = Float64[]
|
||||
|
||||
T = length(solution["Energy"]["Plants (GJ)"])
|
||||
for (dst_plant_name, dst_plant_dict) in solution["Plants"]
|
||||
for (dst_location_name, dst_location_dict) in dst_plant_dict
|
||||
for (src_plant_name, src_plant_dict) in dst_location_dict["Input"]
|
||||
for (src_location_name, src_location_dict) in src_plant_dict
|
||||
for (emission_name, emission_amount) in
|
||||
src_location_dict["Emissions (tonne)"]
|
||||
for year = 1:T
|
||||
push!(
|
||||
df,
|
||||
[
|
||||
src_plant_name,
|
||||
src_location_name,
|
||||
round(src_location_dict["Latitude (deg)"], digits = 6),
|
||||
round(src_location_dict["Longitude (deg)"], digits = 6),
|
||||
dst_plant_name,
|
||||
dst_location_name,
|
||||
round(dst_location_dict["Latitude (deg)"], digits = 6),
|
||||
round(dst_location_dict["Longitude (deg)"], digits = 6),
|
||||
dst_location_dict["Input product"],
|
||||
year,
|
||||
round(src_location_dict["Distance (km)"], digits = 6),
|
||||
round(
|
||||
src_location_dict["Amount (tonne)"][year],
|
||||
digits = 6,
|
||||
),
|
||||
round(
|
||||
src_location_dict["Amount (tonne)"][year] *
|
||||
src_location_dict["Distance (km)"],
|
||||
digits = 6,
|
||||
),
|
||||
emission_name,
|
||||
round(emission_amount[year], digits = 6),
|
||||
],
|
||||
)
|
||||
end
|
||||
end
|
||||
end
|
||||
end
|
||||
end
|
||||
end
|
||||
return df
|
||||
end
|
||||
|
||||
write_transportation_emissions_report(solution, filename) =
|
||||
CSV.write(filename, transportation_emissions_report(solution))
|
||||
@ -0,0 +1,99 @@
|
||||
# RELOG: Reverse Logistics Optimization
|
||||
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
|
||||
# Released under the modified BSD license. See COPYING.md for more details.
|
||||
|
||||
using DataFrames
|
||||
using CSV
|
||||
|
||||
function transportation_report(model)::DataFrame
|
||||
df = DataFrame()
|
||||
df."source" = String[]
|
||||
df."destination" = String[]
|
||||
df."product" = String[]
|
||||
df."year" = Int[]
|
||||
df."amount sent (tonne)" = Float64[]
|
||||
df."distance (km)" = Float64[]
|
||||
df."transportation cost (\$)" = Float64[]
|
||||
df."center revenue (\$)" = Float64[]
|
||||
df."center collection cost (\$)" = Float64[]
|
||||
|
||||
E = model.ext[:E]
|
||||
distances = model.ext[:distances]
|
||||
T = 1:model.ext[:instance].time_horizon
|
||||
|
||||
for (p1, p2, m) in E, t in T
|
||||
amount = value(model[:y][p1.name, p2.name, m.name, t])
|
||||
amount > 1e-3 || continue
|
||||
distance = distances[p1, p2, m]
|
||||
tr_cost = distance * amount * m.tr_cost[t]
|
||||
revenue = 0
|
||||
if isa(p2, Center)
|
||||
revenue = p2.revenue[t] * amount
|
||||
end
|
||||
collection_cost = 0
|
||||
if isa(p1, Center)
|
||||
collection_cost = p1.collection_cost[m][t] * amount
|
||||
end
|
||||
push!(
|
||||
df,
|
||||
Dict(
|
||||
"source" => p1.name,
|
||||
"destination" => p2.name,
|
||||
"product" => m.name,
|
||||
"year" => t,
|
||||
"amount sent (tonne)" => _round(amount),
|
||||
"distance (km)" => _round(distance),
|
||||
"transportation cost (\$)" => _round(tr_cost),
|
||||
"center revenue (\$)" => _round(revenue),
|
||||
"center collection cost (\$)" => _round(collection_cost),
|
||||
),
|
||||
)
|
||||
end
|
||||
return df
|
||||
end
|
||||
|
||||
function transportation_emissions_report(model)::DataFrame
|
||||
df = DataFrame()
|
||||
df."source" = String[]
|
||||
df."destination" = String[]
|
||||
df."product" = String[]
|
||||
df."emission" = String[]
|
||||
df."year" = Int[]
|
||||
df."amount sent (tonne)" = Float64[]
|
||||
df."distance (km)" = Float64[]
|
||||
df."emission factor (tonne/km/tonne)" = Float64[]
|
||||
df."emission amount (tonne)" = Float64[]
|
||||
|
||||
E = model.ext[:E]
|
||||
distances = model.ext[:distances]
|
||||
T = 1:model.ext[:instance].time_horizon
|
||||
|
||||
for (p1, p2, m) in E, t in T, g in keys(m.tr_emissions)
|
||||
amount = value(model[:y][p1.name, p2.name, m.name, t])
|
||||
amount > 1e-3 || continue
|
||||
distance = distances[p1, p2, m]
|
||||
emission_factor = m.tr_emissions[g][t]
|
||||
emissions = value(model[:z_tr_em][g, p1.name, p2.name, m.name, t])
|
||||
push!(
|
||||
df,
|
||||
Dict(
|
||||
"source" => p1.name,
|
||||
"destination" => p2.name,
|
||||
"product" => m.name,
|
||||
"emission" => g,
|
||||
"year" => t,
|
||||
"amount sent (tonne)" => _round(amount),
|
||||
"distance (km)" => _round(distance),
|
||||
"emission factor (tonne/km/tonne)" => _round(emission_factor),
|
||||
"emission amount (tonne)" => _round(emissions),
|
||||
),
|
||||
)
|
||||
end
|
||||
return df
|
||||
end
|
||||
|
||||
write_transportation_report(solution, filename) =
|
||||
CSV.write(filename, transportation_report(solution))
|
||||
|
||||
write_transportation_emissions_report(solution, filename) =
|
||||
CSV.write(filename, transportation_emissions_report(solution))
|
||||
@ -1,28 +0,0 @@
|
||||
# RELOG: Reverse Logistics Optimization
|
||||
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
|
||||
# Released under the modified BSD license. See COPYING.md for more details.
|
||||
|
||||
using DataFrames
|
||||
using CSV
|
||||
import Base: write
|
||||
|
||||
function write(solution::AbstractDict, filename::AbstractString)
|
||||
@info "Writing solution: $filename"
|
||||
open(filename, "w") do file
|
||||
JSON.print(file, solution, 2)
|
||||
end
|
||||
end
|
||||
|
||||
function write_reports(
|
||||
solution::AbstractDict,
|
||||
basename::AbstractString;
|
||||
marginal_costs = true,
|
||||
)
|
||||
RELOG.write_products_report(solution, "$(basename)_products.csv"; marginal_costs)
|
||||
RELOG.write_plants_report(solution, "$(basename)_plants.csv")
|
||||
RELOG.write_plant_outputs_report(solution, "$(basename)_plant_outputs.csv")
|
||||
RELOG.write_plant_emissions_report(solution, "$(basename)_plant_emissions.csv")
|
||||
RELOG.write_transportation_report(solution, "$(basename)_tr.csv")
|
||||
RELOG.write_transportation_emissions_report(solution, "$(basename)_tr_emissions.csv")
|
||||
return
|
||||
end
|
||||
@ -1,192 +0,0 @@
|
||||
{
|
||||
"$schema": "http://json-schema.org/draft-07/schema#",
|
||||
"$id": "https://anl-ceeesa.github.io/RELOG/input",
|
||||
"title": "Schema for RELOG Input File",
|
||||
"definitions": {
|
||||
"TimeSeries": {
|
||||
"type": "array",
|
||||
"items": {
|
||||
"type": "number"
|
||||
}
|
||||
},
|
||||
"Parameters": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"time horizon (years)": {
|
||||
"type": "number"
|
||||
},
|
||||
"distance metric": {
|
||||
"type": "string"
|
||||
}
|
||||
},
|
||||
"required": ["time horizon (years)"]
|
||||
},
|
||||
"Plant": {
|
||||
"type": "object",
|
||||
"additionalProperties": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"input": {
|
||||
"type": "string"
|
||||
},
|
||||
"outputs (tonne/tonne)": {
|
||||
"type": "object",
|
||||
"additionalProperties": {
|
||||
"type": "number"
|
||||
}
|
||||
},
|
||||
"energy (GJ/tonne)": {
|
||||
"$ref": "#/definitions/TimeSeries"
|
||||
},
|
||||
"emissions (tonne/tonne)": {
|
||||
"type": "object",
|
||||
"additionalProperties": {
|
||||
"$ref": "#/definitions/TimeSeries"
|
||||
}
|
||||
},
|
||||
"locations": {
|
||||
"$ref": "#/definitions/PlantLocation"
|
||||
}
|
||||
},
|
||||
"required": ["input", "locations"]
|
||||
}
|
||||
},
|
||||
"PlantLocation": {
|
||||
"type": "object",
|
||||
"additionalProperties": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"location": {
|
||||
"type": "string"
|
||||
},
|
||||
"latitude (deg)": {
|
||||
"type": "number"
|
||||
},
|
||||
"longitude (deg)": {
|
||||
"type": "number"
|
||||
},
|
||||
"initial capacity (tonne)": {
|
||||
"type": "number"
|
||||
},
|
||||
"disposal": {
|
||||
"type": "object",
|
||||
"additionalProperties": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"cost ($/tonne)": {
|
||||
"$ref": "#/definitions/TimeSeries"
|
||||
},
|
||||
"limit (tonne)": {
|
||||
"$ref": "#/definitions/TimeSeries"
|
||||
}
|
||||
},
|
||||
"required": ["cost ($/tonne)"]
|
||||
}
|
||||
},
|
||||
"storage": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"cost ($/tonne)": {
|
||||
"$ref": "#/definitions/TimeSeries"
|
||||
},
|
||||
"limit (tonne)": {
|
||||
"type": "number"
|
||||
}
|
||||
},
|
||||
"required": ["cost ($/tonne)", "limit (tonne)"]
|
||||
},
|
||||
"capacities (tonne)": {
|
||||
"type": "object",
|
||||
"additionalProperties": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"variable operating cost ($/tonne)": {
|
||||
"$ref": "#/definitions/TimeSeries"
|
||||
},
|
||||
"fixed operating cost ($)": {
|
||||
"$ref": "#/definitions/TimeSeries"
|
||||
},
|
||||
"opening cost ($)": {
|
||||
"$ref": "#/definitions/TimeSeries"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"variable operating cost ($/tonne)",
|
||||
"fixed operating cost ($)",
|
||||
"opening cost ($)"
|
||||
]
|
||||
}
|
||||
}
|
||||
},
|
||||
"required": ["capacities (tonne)"]
|
||||
}
|
||||
},
|
||||
"InitialAmount": {
|
||||
"type": "object",
|
||||
"additionalProperties": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"location": {
|
||||
"type": "string"
|
||||
},
|
||||
"latitude (deg)": {
|
||||
"type": "number"
|
||||
},
|
||||
"longitude (deg)": {
|
||||
"type": "number"
|
||||
},
|
||||
"amount (tonne)": {
|
||||
"$ref": "#/definitions/TimeSeries"
|
||||
}
|
||||
},
|
||||
"required": ["amount (tonne)"]
|
||||
}
|
||||
},
|
||||
"Product": {
|
||||
"type": "object",
|
||||
"additionalProperties": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"transportation cost ($/km/tonne)": {
|
||||
"$ref": "#/definitions/TimeSeries"
|
||||
},
|
||||
"transportation energy (J/km/tonne)": {
|
||||
"$ref": "#/definitions/TimeSeries"
|
||||
},
|
||||
"transportation emissions (tonne/km/tonne)": {
|
||||
"type": "object",
|
||||
"additionalProperties": {
|
||||
"$ref": "#/definitions/TimeSeries"
|
||||
}
|
||||
},
|
||||
"initial amounts": {
|
||||
"$ref": "#/definitions/InitialAmount"
|
||||
},
|
||||
"disposal limit (tonne)": {
|
||||
"$ref": "#/definitions/TimeSeries"
|
||||
},
|
||||
"disposal cost ($/tonne)": {
|
||||
"$ref": "#/definitions/TimeSeries"
|
||||
},
|
||||
"acquisition cost ($/tonne)": {
|
||||
"$ref": "#/definitions/TimeSeries"
|
||||
}
|
||||
},
|
||||
"required": ["transportation cost ($/km/tonne)"]
|
||||
}
|
||||
}
|
||||
},
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"parameters": {
|
||||
"$ref": "#/definitions/Parameters"
|
||||
},
|
||||
"plants": {
|
||||
"$ref": "#/definitions/Plant"
|
||||
},
|
||||
"products": {
|
||||
"$ref": "#/definitions/Product"
|
||||
}
|
||||
},
|
||||
"required": ["parameters", "plants", "products"]
|
||||
}
|
||||
@ -1,115 +0,0 @@
|
||||
println("Initializing...")
|
||||
|
||||
using Logging
|
||||
using JSON
|
||||
using JuMP
|
||||
using HiGHS
|
||||
using RELOG
|
||||
|
||||
function solve(root, filename)
|
||||
ref_file = "$root/$filename"
|
||||
optimizer = optimizer_with_attributes(
|
||||
HiGHS.Optimizer,
|
||||
"time_limit" => parse(Float64, ENV["RELOG_TIME_LIMIT_SEC"]),
|
||||
)
|
||||
ref_solution, ref_model = RELOG.solve(
|
||||
ref_file,
|
||||
optimizer = optimizer,
|
||||
lp_optimizer = HiGHS.Optimizer,
|
||||
return_model = true,
|
||||
marginal_costs = true,
|
||||
)
|
||||
Libc.flush_cstdio()
|
||||
flush(stdout)
|
||||
sleep(1)
|
||||
|
||||
if length(ref_solution) == 0
|
||||
return
|
||||
end
|
||||
RELOG.write_products_report(ref_solution, replace(ref_file, ".json" => "_products.csv"))
|
||||
RELOG.write_plants_report(ref_solution, replace(ref_file, ".json" => "_plants.csv"))
|
||||
RELOG.write_plant_outputs_report(
|
||||
ref_solution,
|
||||
replace(ref_file, ".json" => "_plant_outputs.csv"),
|
||||
)
|
||||
RELOG.write_plant_emissions_report(
|
||||
ref_solution,
|
||||
replace(ref_file, ".json" => "_plant_emissions.csv"),
|
||||
)
|
||||
RELOG.write_transportation_report(ref_solution, replace(ref_file, ".json" => "_tr.csv"))
|
||||
RELOG.write_transportation_emissions_report(
|
||||
ref_solution,
|
||||
replace(ref_file, ".json" => "_tr_emissions.csv"),
|
||||
)
|
||||
|
||||
isdir("$root/scenarios") || return
|
||||
for filename in readdir("$root/scenarios")
|
||||
scenario = "$root/scenarios/$filename"
|
||||
endswith(filename, ".json") || continue
|
||||
|
||||
sc_solution = RELOG.resolve(
|
||||
ref_model,
|
||||
scenario,
|
||||
optimizer = optimizer,
|
||||
lp_optimizer = HiGHS.Optimizer,
|
||||
)
|
||||
if length(sc_solution) == 0
|
||||
return
|
||||
end
|
||||
RELOG.write_plants_report(sc_solution, replace(scenario, ".json" => "_plants.csv"))
|
||||
RELOG.write_products_report(
|
||||
sc_solution,
|
||||
replace(scenario, ".json" => "_products.csv"),
|
||||
)
|
||||
RELOG.write_plant_outputs_report(
|
||||
sc_solution,
|
||||
replace(scenario, ".json" => "_plant_outputs.csv"),
|
||||
)
|
||||
RELOG.write_plant_emissions_report(
|
||||
sc_solution,
|
||||
replace(scenario, ".json" => "_plant_emissions.csv"),
|
||||
)
|
||||
RELOG.write_transportation_report(
|
||||
sc_solution,
|
||||
replace(scenario, ".json" => "_tr.csv"),
|
||||
)
|
||||
RELOG.write_transportation_emissions_report(
|
||||
sc_solution,
|
||||
replace(scenario, ".json" => "_tr_emissions.csv"),
|
||||
)
|
||||
end
|
||||
end
|
||||
|
||||
function solve_recursive(path)
|
||||
cd(path)
|
||||
|
||||
# Solve instances
|
||||
for (root, dirs, files) in walkdir(".")
|
||||
if occursin(r"scenarios"i, root)
|
||||
continue
|
||||
end
|
||||
for filename in files
|
||||
endswith(filename, ".json") || continue
|
||||
solve(root, filename)
|
||||
end
|
||||
end
|
||||
|
||||
# Collect results
|
||||
results = []
|
||||
for (root, dirs, files) in walkdir(".")
|
||||
for filename in files
|
||||
endswith(filename, "_plants.csv") || continue
|
||||
push!(
|
||||
results,
|
||||
joinpath(replace(root, path => ""), replace(filename, "_plants.csv" => "")),
|
||||
)
|
||||
end
|
||||
end
|
||||
open("output.json", "w") do file
|
||||
JSON.print(file, results)
|
||||
end
|
||||
|
||||
run(`zip -r output.zip .`)
|
||||
end
|
||||
|
||||
solve_recursive(ARGS[1])
|
||||
@ -1,65 +0,0 @@
|
||||
import HTTP
|
||||
import JSON
|
||||
using Random
|
||||
|
||||
const ROUTER = HTTP.Router()
|
||||
const PROJECT_DIR = joinpath(dirname(@__FILE__), "..", "..")
|
||||
const STATIC_DIR = joinpath(PROJECT_DIR, "relog-web", "build", "static")
|
||||
const JOBS_DIR = joinpath(PROJECT_DIR, "jobs")
|
||||
|
||||
function serve_file(req::HTTP.Request, filename)
|
||||
if isfile(filename)
|
||||
open(filename) do file
|
||||
return HTTP.Response(200, read(file))
|
||||
end
|
||||
else
|
||||
return HTTP.Response(404)
|
||||
end
|
||||
end
|
||||
|
||||
function submit(req::HTTP.Request)
|
||||
# Generate random job id
|
||||
job_id = lowercase(randstring(12))
|
||||
|
||||
# Create job folder
|
||||
job_path = joinpath(JOBS_DIR, job_id)
|
||||
mkpath(job_path)
|
||||
|
||||
# Write JSON file
|
||||
case = JSON.parse(String(req.body))
|
||||
open(joinpath(job_path, "case.json"), "w") do file
|
||||
JSON.print(file, case)
|
||||
end
|
||||
|
||||
# Run job
|
||||
run(
|
||||
`bash -c "(julia --project=$PROJECT_DIR $PROJECT_DIR/src/web/run.jl $job_path 2>&1 | tee $job_path/solve.log) >/dev/null 2>&1 &"`,
|
||||
)
|
||||
|
||||
response = Dict("job_id" => job_id)
|
||||
return HTTP.Response(200, body = JSON.json(response))
|
||||
end
|
||||
|
||||
function get_index(req::HTTP.Request)
|
||||
return serve_file(req, joinpath(STATIC_DIR, "..", "index.html"))
|
||||
end
|
||||
|
||||
function get_static(req::HTTP.Request)
|
||||
return serve_file(req, joinpath(STATIC_DIR, req.target[9:end]))
|
||||
end
|
||||
|
||||
function get_jobs(req::HTTP.Request)
|
||||
return serve_file(req, joinpath(JOBS_DIR, req.target[7:end]))
|
||||
end
|
||||
|
||||
HTTP.@register(ROUTER, "GET", "/static", get_static)
|
||||
HTTP.@register(ROUTER, "GET", "/jobs", get_jobs)
|
||||
HTTP.@register(ROUTER, "POST", "/submit", submit)
|
||||
HTTP.@register(ROUTER, "GET", "/", get_index)
|
||||
|
||||
function web(host = "127.0.0.1", port = 8080)
|
||||
@info "Launching web interface: http://$(host):$(port)/"
|
||||
Base.exit_on_sigint(false)
|
||||
HTTP.serve(ROUTER, host, port)
|
||||
Base.exit_on_sigint(true)
|
||||
end
|
||||
@ -0,0 +1,186 @@
|
||||
using OrderedCollections
|
||||
using JSON
|
||||
using RELOG
|
||||
dict = OrderedDict
|
||||
|
||||
function run_boat_example()
|
||||
cities_a = dict(
|
||||
"Chicago" => [41.881832, -87.623177],
|
||||
"New York City" => [40.712776, -74.005974],
|
||||
"Los Angeles" => [34.052235, -118.243683],
|
||||
"Houston" => [29.760427, -95.369804],
|
||||
"Phoenix" => [33.448376, -112.074036],
|
||||
"Philadelphia" => [39.952583, -75.165222],
|
||||
"San Antonio" => [29.424122, -98.493629],
|
||||
"San Diego" => [32.715736, -117.161087],
|
||||
"Dallas" => [32.776664, -96.796988],
|
||||
"San Jose" => [37.338208, -121.886329],
|
||||
)
|
||||
|
||||
cities_b = dict(
|
||||
"Chicago" => [41.881832, -87.623177],
|
||||
"Phoenix" => [33.448376, -112.074036],
|
||||
"Dallas" => [32.776664, -96.796988],
|
||||
)
|
||||
|
||||
parameters = dict(
|
||||
"time horizon (years)" => 5,
|
||||
"building period (years)" => [1],
|
||||
"distance metric" => "Euclidean",
|
||||
)
|
||||
|
||||
nail_factory = dict(
|
||||
"input" => nothing,
|
||||
"outputs" => ["Nail"],
|
||||
"fixed output (tonne)" => dict("Nail" => 1),
|
||||
"variable output (tonne/tonne)" => dict("Nail" => 0),
|
||||
"revenue (\$/tonne)" => nothing,
|
||||
"collection cost (\$/tonne)" => dict("Nail" => 1000),
|
||||
"operating cost (\$)" => 0,
|
||||
"disposal limit (tonne)" => dict("Nail" => nothing),
|
||||
"disposal cost (\$/tonne)" => dict("Nail" => 0),
|
||||
)
|
||||
|
||||
forest = dict(
|
||||
"input" => nothing,
|
||||
"outputs" => ["Wood"],
|
||||
"fixed output (tonne)" => dict("Wood" => 100),
|
||||
"variable output (tonne/tonne)" => dict("Wood" => 0),
|
||||
"revenue (\$/tonne)" => nothing,
|
||||
"collection cost (\$/tonne)" => dict("Wood" => 250),
|
||||
"operating cost (\$)" => 0,
|
||||
"disposal limit (tonne)" => dict("Wood" => nothing),
|
||||
"disposal cost (\$/tonne)" => dict("Wood" => 0),
|
||||
)
|
||||
|
||||
retail = dict(
|
||||
"input" => "NewBoat",
|
||||
"outputs" => ["UsedBoat"],
|
||||
"fixed output (tonne)" => dict("UsedBoat" => 0),
|
||||
"variable output (tonne/tonne)" => dict("UsedBoat" => [0.10, 0.25, 0.10]),
|
||||
"revenue (\$/tonne)" => 12_000,
|
||||
"collection cost (\$/tonne)" => dict("UsedBoat" => 100),
|
||||
"operating cost (\$)" => 125_000,
|
||||
"disposal limit (tonne)" => dict("UsedBoat" => 0),
|
||||
"disposal cost (\$/tonne)" => dict("UsedBoat" => 0),
|
||||
)
|
||||
|
||||
prod = dict(
|
||||
"transportation cost (\$/km/tonne)" => 0.30,
|
||||
"transportation energy (J/km/tonne)" => 7_500,
|
||||
"transportation emissions (tonne/km/tonne)" =>
|
||||
dict("CO2" => 2.68, "NH4" => 1.02),
|
||||
"disposal limit (tonne)" => nothing,
|
||||
)
|
||||
|
||||
boat_factory = dict(
|
||||
"input mix (%)" => dict("Wood" => 95, "Nail" => 5),
|
||||
"output (tonne)" => dict("NewBoat" => 1.0),
|
||||
"processing emissions (tonne)" => dict("CO2" => 5),
|
||||
"storage cost (\$/tonne)" => dict("Wood" => 500, "Nail" => 200),
|
||||
"storage limit (tonne)" => dict("Wood" => 5, "Nail" => 1),
|
||||
"disposal cost (\$/tonne)" => dict("NewBoat" => 0),
|
||||
"disposal limit (tonne)" => dict("NewBoat" => 0),
|
||||
"capacities" => [
|
||||
dict(
|
||||
"size (tonne)" => 500,
|
||||
"opening cost (\$)" => 1_00_000,
|
||||
"fixed operating cost (\$)" => 250_000,
|
||||
"variable operating cost (\$/tonne)" => 5,
|
||||
),
|
||||
dict(
|
||||
"size (tonne)" => 1000,
|
||||
"opening cost (\$)" => 2_000_000,
|
||||
"fixed operating cost (\$)" => 500_000,
|
||||
"variable operating cost (\$/tonne)" => 5,
|
||||
),
|
||||
],
|
||||
"initial capacity (tonne)" => 0,
|
||||
)
|
||||
|
||||
recycling_plant = dict(
|
||||
"input mix (%)" => dict("UsedBoat" => 100),
|
||||
"output (tonne)" => dict("Nail" => 0.025, "Wood" => 0.475),
|
||||
"processing emissions (tonne)" => dict("CO2" => 5),
|
||||
"storage cost (\$/tonne)" => dict("UsedBoat" => 0),
|
||||
"storage limit (tonne)" => dict("UsedBoat" => 0),
|
||||
"disposal cost (\$/tonne)" => dict("Nail" => 0, "Wood" => 0),
|
||||
"disposal limit (tonne)" => dict("Nail" => 0, "Wood" => 0),
|
||||
"capacities" => [
|
||||
dict(
|
||||
"size (tonne)" => 500,
|
||||
"opening cost (\$)" => 500_000,
|
||||
"fixed operating cost (\$)" => 125_000,
|
||||
"variable operating cost (\$/tonne)" => 2.5,
|
||||
),
|
||||
dict(
|
||||
"size (tonne)" => 1000,
|
||||
"opening cost (\$)" => 1_000_000,
|
||||
"fixed operating cost (\$)" => 250_000,
|
||||
"variable operating cost (\$/tonne)" => 2.5,
|
||||
),
|
||||
],
|
||||
"initial capacity (tonne)" => 0,
|
||||
)
|
||||
|
||||
lat_lon_dict(city_location) =
|
||||
dict("latitude (deg)" => city_location[1], "longitude (deg)" => city_location[2])
|
||||
|
||||
data = dict(
|
||||
"parameters" => parameters,
|
||||
"products" =>
|
||||
dict("Nail" => prod, "Wood" => prod, "NewBoat" => prod, "UsedBoat" => prod),
|
||||
"centers" => merge(
|
||||
dict(
|
||||
"NailFactory ($city_name)" =>
|
||||
merge(nail_factory, lat_lon_dict(city_location)) for
|
||||
(city_name, city_location) in cities_b
|
||||
),
|
||||
dict(
|
||||
"Forest ($city_name)" => merge(forest, lat_lon_dict(city_location))
|
||||
for (city_name, city_location) in cities_b
|
||||
),
|
||||
dict(
|
||||
"Retail ($city_name)" => merge(retail, lat_lon_dict(city_location))
|
||||
for (city_name, city_location) in cities_a
|
||||
),
|
||||
),
|
||||
"plants" => merge(
|
||||
dict(
|
||||
"BoatFactory ($city_name)" =>
|
||||
merge(boat_factory, lat_lon_dict(city_location)) for
|
||||
(city_name, city_location) in cities_a
|
||||
),
|
||||
dict(
|
||||
"RecyclingPlant ($city_name)" =>
|
||||
merge(recycling_plant, lat_lon_dict(city_location)) for
|
||||
(city_name, city_location) in cities_a
|
||||
),
|
||||
),
|
||||
)
|
||||
|
||||
# Generate instance file
|
||||
open(fixture("boat_example.json"), "w") do file
|
||||
JSON.print(file, data, 2)
|
||||
end
|
||||
|
||||
# Load and solve example
|
||||
instance = RELOG.parsefile(fixture("boat_example.json"))
|
||||
model = RELOG.build_model(instance, optimizer = HiGHS.Optimizer, variable_names = true)
|
||||
optimize!(model)
|
||||
|
||||
# Write reports
|
||||
mkpath(fixture("boat_example"))
|
||||
write_to_file(model, fixture("boat_example/model.lp"))
|
||||
RELOG.write_plants_report(model, fixture("boat_example/plants.csv"))
|
||||
RELOG.write_plant_outputs_report(model, fixture("boat_example/plant_outputs.csv"))
|
||||
RELOG.write_centers_report(model, fixture("boat_example/centers.csv"))
|
||||
RELOG.write_center_outputs_report(model, fixture("boat_example/center_outputs.csv"))
|
||||
RELOG.write_transportation_report(model, fixture("boat_example/transportation.csv"))
|
||||
RELOG.write_transportation_emissions_report(
|
||||
model,
|
||||
fixture("boat_example/tr_emissions.csv"),
|
||||
)
|
||||
|
||||
return
|
||||
end
|
||||
File diff suppressed because it is too large
Load Diff
|
|
|
|
|
|
@ -1,202 +0,0 @@
|
||||
{
|
||||
"parameters": {
|
||||
"time horizon (years)": 2
|
||||
},
|
||||
"products": {
|
||||
"P1": {
|
||||
"transportation cost ($/km/tonne)": [0.015, 0.015],
|
||||
"transportation energy (J/km/tonne)": [0.12, 0.11],
|
||||
"transportation emissions (tonne/km/tonne)": {
|
||||
"CO2": [0.052],
|
||||
"CH4": [0.003, 0.002]
|
||||
},
|
||||
"initial amounts": {
|
||||
"C1": {
|
||||
"latitude (deg)": 7.0,
|
||||
"longitude (deg)": 7.0,
|
||||
"amount (tonne)": [934.56, 934.56]
|
||||
},
|
||||
"C2": {
|
||||
"latitude (deg)": 7.0,
|
||||
"longitude (deg)": 19.0,
|
||||
"amount (tonne)": [198.95, 198.95]
|
||||
},
|
||||
"C3": {
|
||||
"latitude (deg)": 84.0,
|
||||
"longitude (deg)": 76.0,
|
||||
"amount (tonne)": [212.97, 212.97]
|
||||
},
|
||||
"C4": {
|
||||
"latitude (deg)": 21.0,
|
||||
"longitude (deg)": 16.0,
|
||||
"amount (tonne)": [352.19, 352.19]
|
||||
},
|
||||
"C5": {
|
||||
"latitude (deg)": 32.0,
|
||||
"longitude (deg)": 92.0,
|
||||
"amount (tonne)": [510.33, 510.33]
|
||||
},
|
||||
"C6": {
|
||||
"latitude (deg)": 14.0,
|
||||
"longitude (deg)": 62.0,
|
||||
"amount (tonne)": [471.66, 471.66]
|
||||
},
|
||||
"C7": {
|
||||
"latitude (deg)": 30.0,
|
||||
"longitude (deg)": 83.0,
|
||||
"amount (tonne)": [785.21, 785.21]
|
||||
},
|
||||
"C8": {
|
||||
"latitude (deg)": 35.0,
|
||||
"longitude (deg)": 40.0,
|
||||
"amount (tonne)": [706.17, 706.17]
|
||||
},
|
||||
"C9": {
|
||||
"latitude (deg)": 74.0,
|
||||
"longitude (deg)": 52.0,
|
||||
"amount (tonne)": [30.08, 30.08]
|
||||
},
|
||||
"C10": {
|
||||
"latitude (deg)": 22.0,
|
||||
"longitude (deg)": 54.0,
|
||||
"amount (tonne)": [536.52, 536.52]
|
||||
}
|
||||
}
|
||||
},
|
||||
"P2": {
|
||||
"transportation cost ($/km/tonne)": [0.02, 0.02]
|
||||
},
|
||||
"P3": {
|
||||
"transportation cost ($/km/tonne)": [0.0125, 0.0125]
|
||||
},
|
||||
"P4": {
|
||||
"transportation cost ($/km/tonne)": [0.0175, 0.0175]
|
||||
}
|
||||
},
|
||||
"plants": {
|
||||
"F1": {
|
||||
"input": "P1",
|
||||
"outputs (tonne/tonne)": {
|
||||
"P2": 0.2,
|
||||
"P3": 0.5
|
||||
},
|
||||
"energy (GJ/tonne)": [0.12, 0.11],
|
||||
"emissions (tonne/tonne)": {
|
||||
"CO2": [0.052, 0.050],
|
||||
"CH4": [0.003, 0.002]
|
||||
},
|
||||
"locations": {
|
||||
"L1": {
|
||||
"latitude (deg)": 0.0,
|
||||
"longitude (deg)": 0.0,
|
||||
"disposal": {
|
||||
"P2": {
|
||||
"cost ($/tonne)": [-10.0, -10.0],
|
||||
"limit (tonne)": [1.0, 1.0]
|
||||
},
|
||||
"P3": {
|
||||
"cost ($/tonne)": [-10.0, -10.0],
|
||||
"limit (tonne)": [1.0, 1.0]
|
||||
}
|
||||
},
|
||||
"capacities (tonne)": {
|
||||
"250.0": {
|
||||
"opening cost ($)": [500.0, 500.0],
|
||||
"fixed operating cost ($)": [30.0, 30.0],
|
||||
"variable operating cost ($/tonne)": [30.0, 30.0]
|
||||
},
|
||||
"1000.0": {
|
||||
"opening cost ($)": [1250.0, 1250.0],
|
||||
"fixed operating cost ($)": [30.0, 30.0],
|
||||
"variable operating cost ($/tonne)": [30.0, 30.0]
|
||||
}
|
||||
}
|
||||
},
|
||||
"L2": {
|
||||
"latitude (deg)": 0.5,
|
||||
"longitude (deg)": 0.5,
|
||||
"capacities (tonne)": {
|
||||
"0.0": {
|
||||
"opening cost ($)": [1000, 1000],
|
||||
"fixed operating cost ($)": [50.0, 50.0],
|
||||
"variable operating cost ($/tonne)": [50.0, 50.0]
|
||||
},
|
||||
"10000.0": {
|
||||
"opening cost ($)": [10000, 10000],
|
||||
"fixed operating cost ($)": [50.0, 50.0],
|
||||
"variable operating cost ($/tonne)": [50.0, 50.0]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"F2": {
|
||||
"input": "P2",
|
||||
"outputs (tonne/tonne)": {
|
||||
"P3": 0.05,
|
||||
"P4": 0.80
|
||||
},
|
||||
"locations": {
|
||||
"L3": {
|
||||
"latitude (deg)": 25.0,
|
||||
"longitude (deg)": 65.0,
|
||||
"disposal": {
|
||||
"P3": {
|
||||
"cost ($/tonne)": [100.0, 100.0]
|
||||
}
|
||||
},
|
||||
"capacities (tonne)": {
|
||||
"1000.0": {
|
||||
"opening cost ($)": [3000, 3000],
|
||||
"fixed operating cost ($)": [50.0, 50.0],
|
||||
"variable operating cost ($/tonne)": [50.0, 50.0]
|
||||
}
|
||||
}
|
||||
},
|
||||
"L4": {
|
||||
"latitude (deg)": 0.75,
|
||||
"longitude (deg)": 0.20,
|
||||
"capacities (tonne)": {
|
||||
"10000": {
|
||||
"opening cost ($)": [3000, 3000],
|
||||
"fixed operating cost ($)": [50.0, 50.0],
|
||||
"variable operating cost ($/tonne)": [50.0, 50.0]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"F3": {
|
||||
"input": "P4",
|
||||
"locations": {
|
||||
"L5": {
|
||||
"latitude (deg)": 100.0,
|
||||
"longitude (deg)": 100.0,
|
||||
"capacities (tonne)": {
|
||||
"15000": {
|
||||
"opening cost ($)": [0.0, 0.0],
|
||||
"fixed operating cost ($)": [0.0, 0.0],
|
||||
"variable operating cost ($/tonne)": [-15.0, -15.0]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"F4": {
|
||||
"input": "P3",
|
||||
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|
||||
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|
||||
"latitude (deg)": 50.0,
|
||||
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|
||||
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|
||||
"10000": {
|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -1,207 +0,0 @@
|
||||
{
|
||||
"parameters": {
|
||||
"time horizon (years)": 2,
|
||||
"distance metric": "driving"
|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
}
|
||||
},
|
||||
"plants": {
|
||||
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|
||||
"input": "P1",
|
||||
"outputs (tonne/tonne)": {
|
||||
"P2": 0.2,
|
||||
"P3": 0.5
|
||||
},
|
||||
"energy (GJ/tonne)": [0.12, 0.11],
|
||||
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|
||||
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|
||||
"CH4": [0.003, 0.002]
|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
Binary file not shown.
@ -1,347 +0,0 @@
|
||||
{
|
||||
"parameters": {
|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
471.66
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
706.17
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
536.52
|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"P2": {
|
||||
"transportation cost ($/km/tonne)": [
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
},
|
||||
"plants": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"F4": {
|
||||
"input": "P3",
|
||||
"locations": {
|
||||
"L6": {
|
||||
"latitude (deg)": 50.0,
|
||||
"longitude (deg)": 50.0,
|
||||
"capacities (tonne)": {
|
||||
"10000": {
|
||||
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|
||||
0.0,
|
||||
0.0
|
||||
],
|
||||
"fixed operating cost ($)": [
|
||||
0.0,
|
||||
0.0
|
||||
],
|
||||
"variable operating cost ($/tonne)": [
|
||||
-15.0,
|
||||
-15.0
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -0,0 +1,159 @@
|
||||
{
|
||||
"parameters": {
|
||||
"time horizon (years)": 4,
|
||||
"building period (years)": [1],
|
||||
"distance metric": "euclidean"
|
||||
},
|
||||
"products": {
|
||||
"P1": {
|
||||
"transportation cost ($/km/tonne)": 0.015,
|
||||
"transportation energy (J/km/tonne)": 0.12,
|
||||
"transportation emissions (tonne/km/tonne)": {
|
||||
"CO2": 0.052,
|
||||
"CH4": [0.003, 0.003, 0.003, 0.003]
|
||||
},
|
||||
"disposal limit (tonne)": 1.0
|
||||
},
|
||||
"P2": {
|
||||
"transportation cost ($/km/tonne)": [0.015, 0.015, 0.015, 0.015],
|
||||
"transportation energy (J/km/tonne)": [0.12, 0.12, 0.12, 0.12],
|
||||
"transportation emissions (tonne/km/tonne)": {
|
||||
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|
||||
"CH4": [0.003, 0.003, 0.003, 0.003]
|
||||
},
|
||||
"disposal limit (tonne)": 2.0
|
||||
},
|
||||
"P3": {
|
||||
"transportation cost ($/km/tonne)": [0.015, 0.015, 0.015, 0.015],
|
||||
"transportation energy (J/km/tonne)": [0.12, 0.12, 0.12, 0.12],
|
||||
"transportation emissions (tonne/km/tonne)": {
|
||||
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|
||||
"CH4": [0.003, 0.003, 0.003, 0.003]
|
||||
},
|
||||
"disposal limit (tonne)": 5.0
|
||||
},
|
||||
"P4": {
|
||||
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|
||||
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|
||||
"transportation emissions (tonne/km/tonne)": {
|
||||
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|
||||
"CH4": [0.003, 0.003, 0.003, 0.003]
|
||||
},
|
||||
"disposal limit (tonne)": null
|
||||
}
|
||||
},
|
||||
"centers": {
|
||||
"C1": {
|
||||
"latitude (deg)": 41.881,
|
||||
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|
||||
"input": "P1",
|
||||
"outputs": ["P2", "P3"],
|
||||
"fixed output (tonne)": {
|
||||
"P2": [100, 50, 0, 0],
|
||||
"P3": [20, 10, 0, 0]
|
||||
},
|
||||
"variable output (tonne/tonne)": {
|
||||
"P2": [0.20, 0.25, 0.12],
|
||||
"P3": [0.25, 0.25, 0.25]
|
||||
},
|
||||
"revenue ($/tonne)": 12.0,
|
||||
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|
||||
"P2": [0.25, 0.25, 0.25, 0.25],
|
||||
"P3": [0.37, 0.37, 0.37, 0.37]
|
||||
},
|
||||
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|
||||
"disposal limit (tonne)": {
|
||||
"P2": [0, 0, 0, 0],
|
||||
"P3": [null, null, null, null]
|
||||
},
|
||||
"disposal cost ($/tonne)": {
|
||||
"P2": [0.23, 0.23, 0.23, 0.23],
|
||||
"P3": [1.0, 1.0, 1.0, 1.0]
|
||||
}
|
||||
},
|
||||
"C2": {
|
||||
"latitude (deg)": 42.881,
|
||||
"longitude (deg)": -87.623,
|
||||
"input": null,
|
||||
"outputs": ["P1"],
|
||||
"variable output (tonne/tonne)": {
|
||||
"P1": 0
|
||||
},
|
||||
"fixed output (tonne)": {
|
||||
"P1": [50, 60, 70, 80]
|
||||
},
|
||||
"revenue ($/tonne)": null,
|
||||
"collection cost ($/tonne)": {
|
||||
"P1": 0.25
|
||||
},
|
||||
"operating cost ($)": [150.0, 150.0, 150.0, 150.0],
|
||||
"disposal limit (tonne)": {
|
||||
"P1": null
|
||||
},
|
||||
"disposal cost ($/tonne)": {
|
||||
"P1": 0
|
||||
}
|
||||
},
|
||||
"C3": {
|
||||
"latitude (deg)": 43.881,
|
||||
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|
||||
"input": "P4",
|
||||
"outputs": [],
|
||||
"variable output (tonne/tonne)": {},
|
||||
"constant output (tonne)": {},
|
||||
"revenue ($/tonne)": [12.0, 12.0, 12.0, 12.0],
|
||||
"collection cost ($/tonne)": {},
|
||||
"operating cost ($)": 150.0,
|
||||
"disposal limit (tonne)": {},
|
||||
"disposal cost ($/tonne)": {}
|
||||
}
|
||||
},
|
||||
"plants": {
|
||||
"L1": {
|
||||
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|
||||
"longitude (deg)": -87.623,
|
||||
"input mix (%)": {
|
||||
"P1": 95.3,
|
||||
"P2": 4.7
|
||||
},
|
||||
"output (tonne)": {
|
||||
"P3": 0.25,
|
||||
"P4": 0.12
|
||||
},
|
||||
"processing emissions (tonne)": {
|
||||
"CO2": 0.1
|
||||
},
|
||||
"storage cost ($/tonne)": {
|
||||
"P1": 0.1,
|
||||
"P2": 0.1
|
||||
},
|
||||
"storage limit (tonne)": {
|
||||
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|
||||
"P2": null
|
||||
},
|
||||
"disposal cost ($/tonne)": {
|
||||
"P3": 0,
|
||||
"P4": 0.86
|
||||
},
|
||||
"disposal limit (tonne)": {
|
||||
"P3": null,
|
||||
"P4": 1000.0
|
||||
},
|
||||
"capacities": [
|
||||
{
|
||||
"size (tonne)": 100,
|
||||
"opening cost ($)": [300, 400, 450, 475],
|
||||
"fixed operating cost ($)": 300,
|
||||
"variable operating cost ($/tonne)": 5.0
|
||||
},
|
||||
{
|
||||
"size (tonne)": 500,
|
||||
"opening cost ($)": 1000.0,
|
||||
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|
||||
"variable operating cost ($/tonne)": 5.0
|
||||
}
|
||||
],
|
||||
"initial capacity (tonne)": 0
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -1,950 +0,0 @@
|
||||
{
|
||||
"Energy": {
|
||||
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|
||||
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|
||||
521.2504
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
216672.818
|
||||
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|
||||
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|
||||
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|
||||
714499.27483131
|
||||
],
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
],
|
||||
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|
||||
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|
||||
130.0
|
||||
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|
||||
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|
||||
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|
||||
0.0
|
||||
],
|
||||
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|
||||
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|
||||
0.0
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
0.0
|
||||
],
|
||||
"Total output": {},
|
||||
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|
||||
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|
||||
15000.0
|
||||
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|
||||
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|
||||
"Output": {
|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"F1": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
],
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"CO2": [
|
||||
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|
||||
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|
||||
]
|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
],
|
||||
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|
||||
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|
||||
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|
||||
110.0
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
200.0
|
||||
],
|
||||
"P3": [
|
||||
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|
||||
500.0
|
||||
]
|
||||
},
|
||||
"Capacity (tonne)": [
|
||||
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|
||||
1000.0
|
||||
],
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"L4": {
|
||||
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|
||||
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|
||||
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|
||||
199.0
|
||||
],
|
||||
"Longitude (deg)": 0.2,
|
||||
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|
||||
}
|
||||
}
|
||||
},
|
||||
"P3": {
|
||||
"F4": {
|
||||
"L6": {
|
||||
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|
||||
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|
||||
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|
||||
499.0
|
||||
],
|
||||
"Longitude (deg)": 50.0,
|
||||
"Latitude (deg)": 50.0
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"Dispose": {
|
||||
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|
||||
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|
||||
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|
||||
1.0
|
||||
],
|
||||
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|
||||
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|
||||
-10.0
|
||||
]
|
||||
},
|
||||
"P3": {
|
||||
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|
||||
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|
||||
1.0
|
||||
],
|
||||
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|
||||
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|
||||
-10.0
|
||||
]
|
||||
}
|
||||
}
|
||||
},
|
||||
"Total input (tonne)": [
|
||||
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|
||||
1000.0
|
||||
],
|
||||
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|
||||
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|
||||
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|
||||
],
|
||||
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|
||||
"Origin": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
212.97000000000003
|
||||
],
|
||||
"Transportation energy (J)": [
|
||||
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|
||||
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|
||||
],
|
||||
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|
||||
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|
||||
28398.750862500005
|
||||
],
|
||||
"Longitude (deg)": 76.0,
|
||||
"Variable operating cost ($)": [
|
||||
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|
||||
6389.1
|
||||
],
|
||||
"Latitude (deg)": 84.0,
|
||||
"Emissions (tonne)": {
|
||||
"CH4": [
|
||||
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|
||||
0.42594000000000004
|
||||
],
|
||||
"CO2": [
|
||||
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|
||||
10.648500000000002
|
||||
]
|
||||
}
|
||||
},
|
||||
"C7": {
|
||||
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|
||||
"Amount (tonne)": [
|
||||
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|
||||
246.62
|
||||
],
|
||||
"Transportation energy (J)": [
|
||||
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|
||||
231305.613198
|
||||
],
|
||||
"Transportation cost ($)": [
|
||||
31541.674527,
|
||||
31541.674527
|
||||
],
|
||||
"Longitude (deg)": 83.0,
|
||||
"Variable operating cost ($)": [
|
||||
7398.6,
|
||||
7398.6
|
||||
],
|
||||
"Latitude (deg)": 30.0,
|
||||
"Emissions (tonne)": {
|
||||
"CH4": [
|
||||
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|
||||
0.49324
|
||||
],
|
||||
"CO2": [
|
||||
12.82424,
|
||||
12.331000000000001
|
||||
]
|
||||
}
|
||||
},
|
||||
"C5": {
|
||||
"Distance (km)": 9148.52,
|
||||
"Amount (tonne)": [
|
||||
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|
||||
510.3299999999999
|
||||
],
|
||||
"Transportation energy (J)": [
|
||||
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|
||||
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|
||||
],
|
||||
"Transportation cost ($)": [
|
||||
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|
||||
70031.46317399999
|
||||
],
|
||||
"Longitude (deg)": 92.0,
|
||||
"Variable operating cost ($)": [
|
||||
15309.899999999998,
|
||||
15309.899999999998
|
||||
],
|
||||
"Latitude (deg)": 32.0,
|
||||
"Emissions (tonne)": {
|
||||
"CH4": [
|
||||
1.5309899999999999,
|
||||
1.02066
|
||||
],
|
||||
"CO2": [
|
||||
26.537159999999997,
|
||||
25.516499999999997
|
||||
]
|
||||
}
|
||||
},
|
||||
"C9": {
|
||||
"Distance (km)": 8201.21,
|
||||
"Amount (tonne)": [
|
||||
30.08,
|
||||
30.08
|
||||
],
|
||||
"Transportation energy (J)": [
|
||||
29603.087615999993,
|
||||
27136.163647999994
|
||||
],
|
||||
"Transportation cost ($)": [
|
||||
3700.385951999999,
|
||||
3700.385951999999
|
||||
],
|
||||
"Longitude (deg)": 52.0,
|
||||
"Variable operating cost ($)": [
|
||||
902.4,
|
||||
902.4
|
||||
],
|
||||
"Latitude (deg)": 74.0,
|
||||
"Emissions (tonne)": {
|
||||
"CH4": [
|
||||
0.09024,
|
||||
0.06016
|
||||
],
|
||||
"CO2": [
|
||||
1.5641599999999998,
|
||||
1.504
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"L2": {
|
||||
"Opening cost ($)": [
|
||||
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|
||||
0.0
|
||||
],
|
||||
"Emissions (tonne)": {
|
||||
"CH4": [
|
||||
11.21592,
|
||||
7.4772799999999995
|
||||
],
|
||||
"CO2": [
|
||||
194.40928,
|
||||
186.93200000000002
|
||||
]
|
||||
},
|
||||
"Expansion cost ($)": [
|
||||
3364.7759999999994,
|
||||
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"C7": {
|
||||
"Marginal cost ($/tonne)": [
|
||||
245.38,
|
||||
246.28
|
||||
]
|
||||
},
|
||||
"C9": {
|
||||
"Marginal cost ($/tonne)": [
|
||||
240.5,
|
||||
241.4
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -1,11 +0,0 @@
|
||||
[ Info: Reading s1.json...
|
||||
[ Info: Building graph...
|
||||
[ Info: 2 time periods
|
||||
[ Info: 6 process nodes
|
||||
[ Info: 8 shipping nodes (plant)
|
||||
[ Info: 10 shipping nodes (collection)
|
||||
[ Info: 38 arcs
|
||||
[ Info: Building optimization model...
|
||||
[ Info: Optimizing MILP...
|
||||
[ Info: Re-optimizing with integer variables fixed...
|
||||
[ Info: Extracting solution...
|
||||
Some files were not shown because too many files have changed in this diff Show More
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Reference in new issue