24 Commits

Author SHA1 Message Date
de27a6202d Bump version to 0.7.2 2023-03-10 16:27:32 -06:00
7d4a763910 Fix issue with collection disposal; increase precision in CSV reports 2023-03-10 14:20:21 -06:00
8432c49050 Add .zenodo.json 2023-03-08 10:17:18 -06:00
2d860326fe Bump version to 0.7.1 2023-03-08 10:01:45 -06:00
be37934b87 Web: Do not use heuristics 2023-03-08 09:44:44 -06:00
3c354ec3e4 Add write_reports function 2023-03-08 09:44:27 -06:00
f5a92358d7 Formulation: If plant is closed, storage cannot be used 2023-03-08 09:44:08 -06:00
69f205be77 Formulation: Prevent plants from sending products to themselves 2023-03-08 09:42:53 -06:00
3b3ecbde27 Web: Fix parsing of disposal limit 2023-03-08 09:42:02 -06:00
b3a6632d7e Fix badge 2023-02-23 11:20:12 -06:00
44008c349d Bump package version 2023-02-23 11:19:07 -06:00
9c5e652d82 Update CHANGELOG 2023-02-23 11:09:45 -06:00
716291ee0f Add initial capacities to web UI 2023-02-23 10:51:07 -06:00
256b863c34 Implement initial plant capacity 2023-02-23 10:34:34 -06:00
1f3a3c9317 web: Add driving metric, fix missing defaults 2023-02-22 15:41:39 -06:00
e4ed05fb98 Update JSON schema 2023-02-22 15:00:42 -06:00
b1d49e1313 Export/import in-memory data format 2023-02-22 14:48:34 -06:00
7c7ab47bb6 CSV vars: Modify export function, disable validation 2023-02-22 11:25:13 -06:00
a821efdce9 Extract constants from CSV 2023-02-22 10:22:43 -06:00
c89747e8d4 Parse and evaluate expressions 2023-02-22 10:08:29 -06:00
40506c13eb Format source code 2023-02-16 11:27:27 -06:00
78128bd79b Allow user to specify product acquisition costs 2023-02-16 11:25:05 -06:00
2f0228e9ca Merge branch 'relog-web' 2023-02-15 14:31:03 -06:00
811730b8ab Replace Cbc/Clp by HiGHS 2023-02-15 14:24:18 -06:00
43 changed files with 1336 additions and 983 deletions

28
.zenodo.json Normal file
View File

@@ -0,0 +1,28 @@
{
"creators": [
{
"orcid": "0000-0002-5022-9802",
"affiliation": "Argonne National Laboratory",
"name": "Santos Xavier, Alinson"
},
{
"orcid": "0000-0002-3426-9425",
"affiliation": "Argonne National Laboratory",
"name": "Iloeje, Chukwunwike"
},
{
"affiliation": "Argonne National Laboratory",
"name": "Atkins, John"
},
{
"affiliation": "Argonne National Laboratory",
"name": "Sun, Kyle"
},
{
"affiliation": "Argonne National Laboratory",
"name": "Gallier, Audrey"
}
],
"title": "RELOG: Reverse Logistics Optimization",
"description": "<b>RELOG</b> is a supply chain optimization package focusing on reverse logistics and reverse manufacturing. For example, the package can be used to determine where to build recycling plants, what sizes should they have and which customers should be served by which plants. The package supports customized reverse logistics pipelines, with multiple types of plants, multiple types of product and multiple time periods."
}

View File

@@ -11,50 +11,107 @@ All notable changes to this project will be documented in this file.
[semver]: https://semver.org/spec/v2.0.0.html
[pkjjl]: https://pkgdocs.julialang.org/v1/compatibility/#compat-pre-1.0
## [0.6.0] -- 2022-12-15
## [0.7.2] -- 2023-03-10
### Fixed
- Core: Fixed modeling issue with collection disposal
- Core: Fix column names in products CSV file
## [0.7.1] -- 2023-03-08
### Added
- Core: Add `write_reports` function
### Changed
- Web UI: Disable usage of heuristic method
### Fixed
- Core: Prevent plants from sending products to themselves
- Core: Enforce constraint that, if plant is closed, storage cannot be used
- Web UI: Fix parsing bug in disposal limit
## [0.7.0] -- 2023-02-23
### Added
- Core: Allow disposal at collection centers
- Core: Allow products to have acquisition costs
- Core: Allow modeling of existing plants
- Web UI: Allow CSV variables and expressions
- Web UI: Allow specifying distance metric
### Changed
- Switch from Cbc/Clp to HiGHS
## [0.6.0] -- 2022-12-15
### Added
- Allow RELOG to calculate approximate driving distances, instead of just straight-line distances between points.
### Fixed
- Fix bug that caused building period parameter to be ignored
## [0.5.2] -- 2022-08-26
### Changed
- Update to JuMP 1.x
## [0.5.1] -- 2021-07-23
### Added
- Allow user to specify locations as unique identifiers, instead of latitude and longitude (e.g. `us-state:IL` or `2018-us-county:17043`)
- Add what-if scenarios.
- Add products report.
## [0.5.0] -- 2021-01-06
### Added
- Allow plants to store input material for processing in later years
## [0.4.0] -- 2020-09-18
### Added
- Generate simplified solution reports (CSV)
## [0.3.3] -- 2020-10-13
### Added
- Add option to write solution to JSON file in RELOG.solve
- Improve error message when instance is infeasible
- Make output file more readable
## [0.3.2] -- 2020-10-07
### Added
- Add "building period" parameter
## [0.3.1] -- 2020-07-17
### Fixed
- Fix expansion cost breakdown
## [0.3.0] -- 2020-06-25
### Added
- Track emissions and energy (transportation and plants)
### Changed
- Minor changes to input file format:
- Make all dictionary keys lowercase
- Rename "outputs (tonne)" to "outputs (tonne/tonne)"
- Make all dictionary keys lowercase
- Rename "outputs (tonne)" to "outputs (tonne/tonne)"

View File

@@ -1,11 +1,10 @@
VERSION := 0.6
VERSION := 0.7
PKG := ghcr.io/anl-ceeesa/relog-web
clean:
rm -rfv build Manifest.toml test/Manifest.toml deps/formatter/build deps/formatter/Manifest.toml
docs:
cd docs; julia --project=. make.jl; cd ..
rsync -avP --delete-after docs/build/ ../docs/$(VERSION)/
docker-build:

View File

@@ -1,7 +1,7 @@
name = "RELOG"
uuid = "a2afcdf7-cf04-4913-85f9-c0d81ddf2008"
authors = ["Alinson S Xavier <axavier@anl.gov>"]
version = "0.6.0"
version = "0.7.2"
[deps]
CRC = "44b605c4-b955-5f2b-9b6d-d2bd01d3d205"
@@ -38,6 +38,7 @@ DataStructures = "0.18"
GZip = "0.5"
Geodesy = "1"
HTTP = "0.9"
HiGHS = "1"
JSON = "0.21"
JSONSchema = "1"
JuMP = "1"

View File

@@ -1,7 +1,7 @@
<h1 align="center">RELOG: Reverse Logistics Optimization</h1>
<p align="center">
<a href="https://github.com/ANL-CEEESA/RELOG/actions">
<img src="https://github.com/ANL-CEEESA/RELOG/workflows/CI/badge.svg">
<img src="https://github.com/ANL-CEEESA/RELOG/workflows/Build%20&%20Test/badge.svg">
</a>
<a href="https://doi.org/10.5281/zenodo.4302341">
<img src="https://zenodo.org/badge/DOI/10.5281/zenodo.4302341.svg">
@@ -13,24 +13,22 @@
**RELOG** is a supply chain optimization package focusing on reverse logistics and reverse manufacturing. For example, the package can be used to determine where to build recycling plants, what sizes should they have and which customers should be served by which plants. The package supports customized reverse logistics pipelines, with multiple types of plants, multiple types of product and multiple time periods.
<img src="https://anl-ceeesa.github.io/RELOG/0.6/assets/ex_transportation.png" width="1000px"/>
<img src="https://anl-ceeesa.github.io/RELOG/0.7/assets/ex_transportation.png" width="1000px"/>
### Documentation
* [Usage](https://anl-ceeesa.github.io/RELOG/0.6/usage)
* [Input and Output Data Formats](https://anl-ceeesa.github.io/RELOG/0.6/format)
* [Simplified Solution Reports](https://anl-ceeesa.github.io/RELOG/0.6/reports)
* [Optimization Model](https://anl-ceeesa.github.io/RELOG/0.6/model)
- [Usage](https://anl-ceeesa.github.io/RELOG/0.7/usage)
- [Input and Output Data Formats](https://anl-ceeesa.github.io/RELOG/0.7/format)
- [Simplified Solution Reports](https://anl-ceeesa.github.io/RELOG/0.7/reports)
- [Optimization Model](https://anl-ceeesa.github.io/RELOG/0.7/model)
### Authors
* **Alinson S. Xavier** <<axavier@anl.gov>>
* **Nwike Iloeje** <<ciloeje@anl.gov>>
* **John Atkins**
* **Kyle Sun**
* **Audrey Gallier**
- **Alinson S. Xavier** <<axavier@anl.gov>>
- **Nwike Iloeje** <<ciloeje@anl.gov>>
- **John Atkins**
- **Kyle Sun**
- **Audrey Gallier**
### License

View File

@@ -15,5 +15,3 @@ function make()
)
)
end
make()

View File

@@ -10,21 +10,21 @@ RELOG accepts as input a JSON file with three sections: `parameters`, `products`
The **parameters** section describes details about the simulation itself.
| Key | Description
|:--------------------------|:---------------|
|`time horizon (years)` | Number of years in the simulation.
|`building period (years)` | 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. |
|`distance metric` | 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. If not specified, defaults to `"Euclidean"`.
| Key | Description |
| :------------------------ | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `time horizon (years)` | Number of years in the simulation. |
| `building period (years)` | 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. |
| `distance metric` | 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. If not specified, defaults to `"Euclidean"`. |
#### Example
```json
{
"parameters": {
"time horizon (years)": 2,
"building period (years)": [1],
"distance metric": "driving",
}
"parameters": {
"time horizon (years)": 2,
"building period (years)": [1],
"distance metric": "driving"
}
}
```
@@ -32,65 +32,67 @@ The **parameters** section describes details about the simulation itself.
The **products** section describes all products and subproducts in the simulation. The field `instance["Products"]` is a dictionary mapping the name of the product to a dictionary which describes its characteristics. Each product description contains the following keys:
| Key | Description
|:--------------------------------------|:---------------|
|`transportation cost ($/km/tonne)` | The cost to transport this product. Must be a time series.
|`transportation energy (J/km/tonne)` | The energy required to transport this product. Must be a time series. Optional.
|`transportation emissions (tonne/km/tonne)` | A dictionary mapping the name of each greenhouse gas, produced to transport one tonne of this product along one kilometer, to the amount of gas produced (in tonnes). Must be a time series. Optional.
|`initial amounts` | A dictionary mapping the name of each location to its description (see below). If this product is not initially available, this key may be omitted. Must be a time series.
| `disposal limit (tonne)` | Total amount of product that can be disposed of across all collection centers. If omitted, all product must be processed. This parameter has no effect on product disposal at plants.
| `disposal cost ($/tonne)` | Cost of disposing one tonne of this product at a collection center. If omitted, defaults to zero. This parameter has no effect on product disposal costs at plants.
| Key | Description |
| :------------------------------------------ | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `transportation cost ($/km/tonne)` | The cost to transport this product. Must be a time series. |
| `transportation energy (J/km/tonne)` | The energy required to transport this product. Must be a time series. Optional. |
| `transportation emissions (tonne/km/tonne)` | A dictionary mapping the name of each greenhouse gas, produced to transport one tonne of this product along one kilometer, to the amount of gas produced (in tonnes). Must be a time series. Optional. |
| `initial amounts` | A dictionary mapping the name of each location to its description (see below). If this product is not initially available, this key may be omitted. Must be a time series. |
| `disposal limit (tonne)` | Total amount of product that can be disposed of across all collection centers. If omitted, all product must be processed. This parameter has no effect on product disposal at plants. |
| `disposal cost ($/tonne)` | Cost of disposing one tonne of this product at a collection center. If omitted, defaults to zero. This parameter has no effect on product disposal costs at plants. |
| `acquisition cost ($/tonne)` | Cost of acquiring one tonne of this product at a collection center. If omitted, defaults to zero. |
Each product may have some amount available at the beginning of each time period. In this case, the key `initial amounts` maps to a dictionary with the following keys:
| Key | Description
|:------------------------|:---------------|
| `latitude (deg)` | The latitude of the location.
| `longitude (deg)` | The longitude of the location.
| `amount (tonne)` | The amount of the product initially available at the location. Must be a time series.
| Key | Description |
| :---------------- | :------------------------------------------------------------------------------------ |
| `latitude (deg)` | The latitude of the location. |
| `longitude (deg)` | The longitude of the location. |
| `amount (tonne)` | The amount of the product initially available at the location. Must be a time series. |
#### Example
```json
{
"products": {
"P1": {
"initial amounts": {
"C1": {
"latitude (deg)": 7.0,
"longitude (deg)": 7.0,
"amount (tonne)": [934.56, 934.56]
},
"C2": {
"latitude (deg)": 7.0,
"longitude (deg)": 19.0,
"amount (tonne)": [198.95, 198.95]
},
"C3": {
"latitude (deg)": 84.0,
"longitude (deg)": 76.0,
"amount (tonne)": [212.97, 212.97]
}
},
"transportation cost ($/km/tonne)": [0.015, 0.015],
"transportation energy (J/km/tonne)": [0.12, 0.11],
"transportation emissions (tonne/km/tonne)": {
"CO2": [0.052, 0.050],
"CH4": [0.003, 0.002]
},
"disposal cost ($/tonne)": [-10.0, -12.0],
"disposal limit (tonne)": [1.0, 1.0],
"products": {
"P1": {
"initial amounts": {
"C1": {
"latitude (deg)": 7.0,
"longitude (deg)": 7.0,
"amount (tonne)": [934.56, 934.56]
},
"P2": {
"transportation cost ($/km/tonne)": [0.022, 0.020]
"C2": {
"latitude (deg)": 7.0,
"longitude (deg)": 19.0,
"amount (tonne)": [198.95, 198.95]
},
"P3": {
"transportation cost ($/km/tonne)": [0.0125, 0.0125]
},
"P4": {
"transportation cost ($/km/tonne)": [0.0175, 0.0175]
"C3": {
"latitude (deg)": 84.0,
"longitude (deg)": 76.0,
"amount (tonne)": [212.97, 212.97]
}
},
"transportation cost ($/km/tonne)": [0.015, 0.015],
"transportation energy (J/km/tonne)": [0.12, 0.11],
"transportation emissions (tonne/km/tonne)": {
"CO2": [0.052, 0.05],
"CH4": [0.003, 0.002]
},
"disposal cost ($/tonne)": [-10.0, -12.0],
"disposal limit (tonne)": [1.0, 1.0],
"acquisition cost ($/tonne)": [1.0, 1.0]
},
"P2": {
"transportation cost ($/km/tonne)": [0.022, 0.02]
},
"P3": {
"transportation cost ($/km/tonne)": [0.0125, 0.0125]
},
"P4": {
"transportation cost ($/km/tonne)": [0.0175, 0.0175]
}
}
}
```
@@ -98,135 +100,139 @@ Each product may have some amount available at the beginning of each time period
The **plants** section describes the available types of reverse manufacturing plants, their potential locations and associated costs, as well as their inputs and outputs. The field `instance["Plants"]` is a dictionary mapping the name of the plant to a dictionary with the following keys:
| Key | Description
|:------------------------|:---------------|
| `input` | The name of the product that this plant takes as input. Only one input is accepted per plant.
| `outputs (tonne/tonne)` | A dictionary specifying how many tonnes of each product is produced for each tonnes of input. For example, if the plant outputs 0.5 tonnes of P2 and 0.25 tonnes of P3 for each tonnes of P1 provided, then this entry should be `{"P2": 0.5, "P3": 0.25}`. If the plant does not output anything, this key may be omitted.
|`energy (GJ/tonne)` | The energy required to process 1 tonne of the input. Must be a time series. Optional.
|`emissions (tonne/tonne)` | A dictionary mapping the name of each greenhouse gas, produced to process each tonne of input, to the amount of gas produced (in tonne). Must be a time series. Optional.
| `locations` | A dictionary mapping the name of the location to a dictionary which describes the site characteristics (see below).
| Key | Description |
| :------------------------ | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `input` | The name of the product that this plant takes as input. Only one input is accepted per plant. |
| `outputs (tonne/tonne)` | A dictionary specifying how many tonnes of each product is produced for each tonnes of input. For example, if the plant outputs 0.5 tonnes of P2 and 0.25 tonnes of P3 for each tonnes of P1 provided, then this entry should be `{"P2": 0.5, "P3": 0.25}`. If the plant does not output anything, this key may be omitted. |
| `energy (GJ/tonne)` | The energy required to process 1 tonne of the input. Must be a time series. Optional. |
| `emissions (tonne/tonne)` | A dictionary mapping the name of each greenhouse gas, produced to process each tonne of input, to the amount of gas produced (in tonne). Must be a time series. Optional. |
| `locations` | A dictionary mapping the name of the location to a dictionary which describes the site characteristics (see below). |
Each type of plant is associated with a set of potential locations where it can be built. Each location is represented by a dictionary with the following keys:
| Key | Description
|:------------------------------|---------------|
| `latitude (deg)` | The latitude of the location, in degrees.
| `longitude (deg)` | The longitude of the location, in degrees.
| `disposal` | A dictionary describing what products can be disposed locally at the plant.
| `storage` | A dictionary describing the plant's storage.
| `capacities (tonne)` | A dictionary describing what plant sizes are allowed, and their characteristics.
| Key | Description |
| :------------------------- | -------------------------------------------------------------------------------- |
| `latitude (deg)` | The latitude of the location, in degrees. |
| `longitude (deg)` | The longitude of the location, in degrees. |
| `disposal` | A dictionary describing what products can be disposed locally at the plant. |
| `storage` | A dictionary describing the plant's storage. |
| `capacities (tonne)` | A dictionary describing what plant sizes are allowed, and their characteristics. |
| `initial capacity (tonne)` | Capacity already available at this location. Optional. |
The `storage` dictionary should contain the following keys:
| Key | Description
|:------------------------|:---------------|
| `cost ($/tonne)` | The cost to store a tonne of input product for one time period. Must be a time series.
| `limit (tonne)` | The maximum amount of input product this plant can have in storage at any given time.
| Key | Description |
| :--------------- | :------------------------------------------------------------------------------------- |
| `cost ($/tonne)` | The cost to store a tonne of input product for one time period. Must be a time series. |
| `limit (tonne)` | The maximum amount of input product this plant can have in storage at any given time. |
The keys in the `disposal` dictionary should be the names of the products. The values are dictionaries with the following keys:
| Key | Description
|:------------------------|:---------------|
| `cost ($/tonne)` | The cost to dispose of the product. Must be a time series.
| `limit (tonne)` | The maximum amount that can be disposed of. If an unlimited amount can be disposed, this key may be omitted. Must be a time series.
| Key | Description |
| :--------------- | :---------------------------------------------------------------------------------------------------------------------------------- |
| `cost ($/tonne)` | The cost to dispose of the product. Must be a time series. |
| `limit (tonne)` | The maximum amount that can be disposed of. If an unlimited amount can be disposed, this key may be omitted. Must be a time series. |
The keys in the `capacities (tonne)` dictionary should be the amounts (in tonnes). The values are dictionaries with the following keys:
| Key | Description
|:--------------------------------------|:---------------|
| `opening cost ($)` | The cost to open a plant of this size.
| `fixed operating cost ($)` | The cost to keep the plant open, even if the plant doesn't process anything. Must be a time series.
| `variable operating cost ($/tonne)` | The cost that the plant incurs to process each tonne of input. Must be a time series.
| Key | Description |
| :---------------------------------- | :-------------------------------------------------------------------------------------------------- |
| `opening cost ($)` | The cost to open a plant of this size. |
| `fixed operating cost ($)` | The cost to keep the plant open, even if the plant doesn't process anything. Must be a time series. |
| `variable operating cost ($/tonne)` | The cost that the plant incurs to process each tonne of input. Must be a time series. |
#### Example
```json
{
"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 ($/tonne)": [-10.0, -12.0],
"limit (tonne)": [1.0, 1.0]
}
},
"storage": {
"cost ($/tonne)": [5.0, 5.3],
"limit (tonne)": 100.0,
},
"capacities (tonne)": {
"100": {
"opening cost ($)": [500, 530],
"fixed operating cost ($)": [300.0, 310.0],
"variable operating cost ($/tonne)": [5.0, 5.2],
},
"500": {
"opening cost ($)": [750, 760],
"fixed operating cost ($)": [400.0, 450.0],
"variable operating cost ($/tonne)": [5.0, 5.2]
}
}
}
"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, 0.05],
"CH4": [0.003, 0.002]
},
"locations": {
"L1": {
"latitude (deg)": 0.0,
"longitude (deg)": 0.0,
"disposal": {
"P2": {
"cost ($/tonne)": [-10.0, -12.0],
"limit (tonne)": [1.0, 1.0]
}
},
"storage": {
"cost ($/tonne)": [5.0, 5.3],
"limit (tonne)": 100.0
},
"capacities (tonne)": {
"100": {
"opening cost ($)": [500, 530],
"fixed operating cost ($)": [300.0, 310.0],
"variable operating cost ($/tonne)": [5.0, 5.2]
},
"500": {
"opening cost ($)": [750, 760],
"fixed operating cost ($)": [400.0, 450.0],
"variable operating cost ($/tonne)": [5.0, 5.2]
}
}
}
}
}
}
}
```
### Geographic database
Instead of specifying locations using latitudes and longitudes, it is also possible to specify them using unique identifiers, such as the name of a US state, or the county FIPS code. This works anywhere `latitude (deg)` and `longitude (deg)` are expected. For example, instead of:
```json
{
"initial amounts": {
"C1": {
"latitude (deg)": 37.27182,
"longitude (deg)": -119.2704,
"amount (tonne)": [934.56, 934.56]
},
"initial amounts": {
"C1": {
"latitude (deg)": 37.27182,
"longitude (deg)": -119.2704,
"amount (tonne)": [934.56, 934.56]
}
}
}
```
is is possible to write:
```json
{
"initial amounts": {
"C1": {
"location": "us-state:CA",
"amount (tonne)": [934.56, 934.56]
},
"initial amounts": {
"C1": {
"location": "us-state:CA",
"amount (tonne)": [934.56, 934.56]
}
}
}
```
Location names follow the format `db:id`, where `db` is the name of the database and `id` is the identifier for a specific location. RELOG currently includes the following databases:
Database | Description | Examples
:--------|:------------|:---------
`us-state`| List of states of the United States. | `us-state:IL` (State of Illinois)
`2018-us-county` | List of United States counties, as of 2018. IDs are 5-digit FIPS codes. | `2018-us-county:17043` (DuPage county in Illinois)
| Database | Description | Examples |
| :--------------- | :---------------------------------------------------------------------- | :------------------------------------------------- |
| `us-state` | List of states of the United States. | `us-state:IL` (State of Illinois) |
| `2018-us-county` | List of United States counties, as of 2018. IDs are 5-digit FIPS codes. | `2018-us-county:17043` (DuPage county in Illinois) |
### Current limitations
* Each plant can only be opened exactly once. After open, the plant remains open until the end of the simulation.
* Plants can be expanded at any time, even long after they are open.
* All material available at the beginning of a time period must be entirely processed by the end of that time period. It is not possible to store unprocessed materials from one time period to the next.
* Up to two plant sizes are currently supported. Variable operating costs must be the same for all plant sizes.
* Accurate driving distances are only available for the continental United States.
- Each plant can only be opened exactly once. After open, the plant remains open until the end of the simulation.
- Plants can be expanded at any time, even long after they are open.
- All material available at the beginning of a time period must be entirely processed by the end of that time period. It is not possible to store unprocessed materials from one time period to the next.
- Up to two plant sizes are currently supported. Variable operating costs must be the same for all plant sizes.
- Accurate driving distances are only available for the continental United States.
## Output Data Format (JSON)

View File

@@ -8,22 +8,24 @@
</center>
```
### Table of Contents
```@contents
```@contents
Pages = ["usage.md", "format.md", "reports.md", "model.md"]
Depth = 3
```
### Source Code
* [https://github.com/ANL-CEEESA/RELOG](https://github.com/ANL-CEEESA/RELOG)
- [https://github.com/ANL-CEEESA/RELOG](https://github.com/ANL-CEEESA/RELOG)
### Authors
* **Alinson S. Xavier,** Argonne National Laboratory <axavier@anl.gov>
* **Nwike Iloeje,** Argonne National Laboratory <ciloeje@anl.gov>
- **Alinson S. Xavier,** Argonne National Laboratory <axavier@anl.gov>
- **Nwike Iloeje,** Argonne National Laboratory <ciloeje@anl.gov>
- **John Atkins**
- **Kyle Sun**
- **Audrey Gallier**
### License
@@ -52,4 +54,4 @@ SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSE
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.
```
```

View File

@@ -6,59 +6,62 @@ In this page, we describe the precise mathematical optimization model used by RE
### Sets
Symbol | Description
:-------|:------------
$L$ | Set of locations holding the original material to be recycled
$M$ | Set of materials recovered during the reverse manufacturing process
$P$ | Set of potential plants to open
$T = \{ 1, \ldots, t^{max} \}$ | Set of time periods
| Symbol | Description |
| :----------------------------- | :-------------------------------------------------------------------- |
| $L$ | Set of collection centers holding the primary material to be recycled |
| $M$ | Set of materials recovered during the reverse manufacturing process |
| $P$ | Set of potential plants to open |
| $T = \{ 1, \ldots, t^{max} \}$ | Set of time periods |
### Constants
#### Plants
Symbol | Description | Unit
:-------|:------------|:---
$c^\text{disp}_{pmt}$ | Cost of disposing one tonne of material $m$ at plant $p$ during time $t$ | \$/tonne/km
$c^\text{exp}_{pt}$ | Cost of adding one tonne of capacity to plant $p$ at time $t$ | \$/tonne
$c^\text{open}_{pt}$ | Cost of opening plant $p$ at time $t$, at minimum capacity | $
$c^\text{f-base}_{pt}$ | Fixed cost of keeping plant $p$ open during time period $t$ | $
$c^\text{f-exp}_{pt}$ | Increase in fixed cost for each additional tonne of capacity | \$/tonne
$c^\text{var}_{pt}$ | Variable cost of processing one tonne of input at plant $p$ at time $t$ | \$/tonne
$c^\text{store}_{pt}$ | Cost of storing one tonne of original material at plant $p$ at time $t$ | \$/tonne
$m^\text{min}_p$ | Minimum capacity of plant $p$ | tonne
$m^\text{max}_p$ | Maximum capacity of plant $p$ | tonne
$m^\text{disp}_{pmt}$ | Maximum amount of material $m$ that plant $p$ can dispose of during time $t$ | tonne
$m^\text{store}_p$ | Maximum amount of original material that plant $p$ can store for later processing. | tonne
| Symbol | Description | Unit |
| :---------------------- | :------------------------------------------------------------------------------------- | :---------- |
| $c^\text{exp}_{pt}$ | Cost of adding one tonne of capacity to plant $p$ at time $t$ | \$/tonne |
| $c^\text{f-base}_{pt}$ | Fixed cost of keeping plant $p$ open during time period $t$ | $ |
| $c^\text{f-exp}_{pt}$ | 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 | $ |
| $c^\text{p-disp}_{pmt}$ | Cost of disposing recovered material $m$ at plant $p$ during time $t$ | \$/tonne/km |
| $c^\text{store}_{pt}$ | Cost of storing primary material at plant $p$ at time $t$ | \$/tonne |
| $c^\text{proc}_{pt}$ | Variable cost of processing primary material at plant $p$ at time $t$ | \$/tonne |
| $m^\text{max}_p$ | 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 original material | tonne/tonne
$m^\text{initial}_{lt}$ | Amount of original material to be recycled at location $l$ during time $t$ | tonne
| Symbol | Description | Unit |
| :---------------------- | :------------------------------------------------------------------------------------------------------- | :---------- |
| $\alpha_{pm}$ | Amount of material $m$ recovered by plant $t$ for each tonne of primary material | tonne/tonne |
| $c^\text{acq}_{lt}$ | 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
:-------|:------------|:---
$c^\text{tr}_{t}$ | Transportation cost during time $t$ | \$/tonne/km
$d_{lp}$ | Distance between plant $p$ and location $l$ | km
| 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 product sent from location $l$ to plant $p$ during time $t$ | tonne
$z^{\text{disp}}_{mpt}$ | Amount of material $m$ disposed of by plant $p$ during time $t$ | tonne
$z^{\text{store}}_{pt}$ | Amount of original material in storage at plant $p$ by the end of time period $t$ | tonne
$z^{\text{proc}}_{mpt}$ | Amount of original material processed by plant $p$ during time period $t$ | tonne
| 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
@@ -70,40 +73,55 @@ RELOG minimizes the overall capital, production and transportation costs:
\sum_{t \in T} \sum_{p \in P} \left[
c^\text{open}_{pt} u_{pt} +
c^\text{f-base}_{pt} x_{pt} +
\sum_{i=1}^t c^\text{f-exp}_{pt} w_{pi} +
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}
c^{\text{tr}}_t d_{lp} y_{lpt} +
\\
&
\sum_{t \in T} \sum_{p \in P} \sum_{m \in M} c^{\text{disp}}_{pmt} z_{pmt}
\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 the disposal 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 original materials must be sent to a plant:
- 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} = m^\text{initial}_{lt}
& \sum_{p \in P} y_{lpt} + z^{\text{c-disp}}_{lt} = m^\text{initial}_{lt}
& \forall l \in L, t \in T
\end{align*}
```
* Amount received equals amount processed plus stored. Furthermore, all original material should be processed by the end of the simulation.
- 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*}
@@ -117,16 +135,16 @@ In the fourth line, we have the disposal costs.
\end{align*}
```
* Plants have a limited processing capacity. Furthermore, if a plant is closed, it has zero processing capacity:
- 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=1}^t w_p
& 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:
- Plants have limited storage capacity. Furthermore, if a plant is closed, is has zero storage capacity:
```math
\begin{align*}
@@ -135,16 +153,16 @@ In the fourth line, we have the disposal costs.
\end{align*}
```
* Plants can only be expanded up to their maximum capacity. Furthermore, if a plant is closed, it cannot be expanded:
- 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=1}^t w_p \leq m^\text{max}_p x_p
& \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:
- Amount of recovered material is proportional to amount processed:
```math
\begin{align*}
@@ -153,28 +171,37 @@ In the fourth line, we have the disposal costs.
\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.
- 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_{mpt}
& 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.
- 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 \setminus \{1\} \\
& x_{p,1} = u_{p,1}
& \forall p \in P
& \forall p \in P, t \in T \\
\end{align*}
```
- Boundary constants:
* Variable bounds:
```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*}
@@ -188,9 +215,11 @@ In the fourth line, we have the disposal costs.
& \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{disp}}_{mpt}, z^{\text{proc}}_{mpt} \geq 0
& z^{\text{p-disp}}_{mpt}, z^{\text{proc}}_{mpt} \geq 0
& \forall m \in M, p \in P, t \in T
\end{align*}
```

View File

@@ -1,5 +1,4 @@
Usage
=====
# Usage
## 1. Installation
@@ -7,7 +6,7 @@ To use RELOG, the first step is to install the [Julia programming language](http
```julia
using Pkg
Pkg.add(name="RELOG", version="0.6")
Pkg.add(name="RELOG", version="0.7")
```
## 2. Modeling the problem
@@ -16,21 +15,21 @@ The two main model components in RELOG are **products** and **plants**.
A **product** is any material that needs to be recycled, any intermediary product produced during the recycling process, or any product recovered at the end of the process. For example, in a NiMH battery recycling study case, products could include (i) the original batteries to be recycled; (ii) the cathode and anode parts of the battery; (iii) rare-earth elements and (iv) scrap metals.
* The model assumes that some products are initially available at user-specified locations (described by their latitude, longitude and the amount available), while other products only become available during the recycling process.
- The model assumes that some products are initially available at user-specified locations (described by their latitude, longitude and the amount available), while other products only become available during the recycling process.
* Products that are initially available must be sent to a plant for processing during the same time period they became available.
- Products that are initially available must be sent to a plant for processing during the same time period they became available.
* Transporting products from one location to another incurs a transportation cost (`$/km/tonne`), spends some amount of energy (`J/km/tonne`) and may generate multiple types of emissions (`tonne/tonne`). All these parameters are user-specified and may be product- and time-specific.
- Transporting products from one location to another incurs a transportation cost (`$/km/tonne`), spends some amount of energy (`J/km/tonne`) and may generate multiple types of emissions (`tonne/tonne`). All these parameters are user-specified and may be product- and time-specific.
A **plant** is a facility that converts one type of product to another. RELOG assumes that each plant receives a single type of product as input and converts this input into multiple types of products. Multiple types of plants, with different inputs, outputs and performance characteristics, may be specified. In the NiMH battery recycling study case, for example, one type of plant could be a *disassembly plant*, which converts *batteries* into *cathode* and *anode*. Another type of plant could be *anode recycling plant*, which converts *anode* into *rare-earth elements* and *scrap metals*.
A **plant** is a facility that converts one type of product to another. RELOG assumes that each plant receives a single type of product as input and converts this input into multiple types of products. Multiple types of plants, with different inputs, outputs and performance characteristics, may be specified. In the NiMH battery recycling study case, for example, one type of plant could be a _disassembly plant_, which converts _batteries_ into _cathode_ and _anode_. Another type of plant could be _anode recycling plant_, which converts _anode_ into _rare-earth elements_ and _scrap metals_.
* To process each tonne of input material, plants incur a variable operating cost (`$/tonne`), spend some amount of energy (`GJ/tonne`), and produce multiple types of emissions (`tonne/tonne`). Plants also incur a fixed operating cost (`$`) regardless of the amount of material they process. All these parameters are user-specified and may be region- and time-specific.
- To process each tonne of input material, plants incur a variable operating cost (`$/tonne`), spend some amount of energy (`GJ/tonne`), and produce multiple types of emissions (`tonne/tonne`). Plants also incur a fixed operating cost (`$`) regardless of the amount of material they process. All these parameters are user-specified and may be region- and time-specific.
* Plants can be built at user-specified potential locations. Opening a plant incurs a one-time opening cost (`$`) which may be region- and time-specific. Plants also have a limited capacity (in `tonne`), which indicates the maximum amount of input material they are able to process per year. When specifying potential locations for each type of plant, it is also possible to specify the minimum and maximum capacity of the plants that can be built at that particular location. Different plants sizes may have different opening costs and fixed operating costs. After a plant is built, it can be further expanded in the following years, up to its maximum capacity.
- Plants can be built at user-specified potential locations. Opening a plant incurs a one-time opening cost (`$`) which may be region- and time-specific. Plants also have a limited capacity (in `tonne`), which indicates the maximum amount of input material they are able to process per year. When specifying potential locations for each type of plant, it is also possible to specify the minimum and maximum capacity of the plants that can be built at that particular location. Different plants sizes may have different opening costs and fixed operating costs. After a plant is built, it can be further expanded in the following years, up to its maximum capacity.
* Products received by a plant can be either processed immediately or stored for later processing. Plants have a maximum storage capacity (`tonne`). Storage costs (`$/tonne`) can also be specified.
- Products received by a plant can be either processed immediately or stored for later processing. Plants have a maximum storage capacity (`tonne`). Storage costs (`$/tonne`) can also be specified.
* All products generated by a plant can either be sent to another plant for further processing, or disposed of locally for either a profit or a loss (`$/tonne`). To model environmental regulations, it is also possible to specify the maximum amount of each product that can be disposed of at each location.
- All products generated by a plant can either be sent to another plant for further processing, or disposed of locally for either a profit or a loss (`$/tonne`). To model environmental regulations, it is also possible to specify the maximum amount of each product that can be disposed of at each location.
All user parameters specified above must be provided to RELOG as a JSON file, which is fully described in the [data format page](format.md).
@@ -90,7 +89,6 @@ To use the `resolve` method, the new input file should be very similar to the or
- **Plant's storage:** Cost.
- **Plant's capacity:** Opening cost, fixed operating cost and variable operating cost.
## 5. Advanced options
### 5.1 Changing the solver

View File

@@ -16,6 +16,7 @@
"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",
@@ -11201,6 +11202,14 @@
}
}
},
"node_modules/jsep": {
"version": "1.3.8",
"resolved": "https://registry.npmjs.org/jsep/-/jsep-1.3.8.tgz",
"integrity": "sha512-qofGylTGgYj9gZFsHuyWAN4jr35eJ66qJCK4eKDnldohuUoQFbU3iZn2zjvEbd9wOAhP9Wx5DsAAduTyE1PSWQ==",
"engines": {
"node": ">= 10.16.0"
}
},
"node_modules/jsesc": {
"version": "2.5.2",
"resolved": "https://registry.npmjs.org/jsesc/-/jsesc-2.5.2.tgz",
@@ -25021,6 +25030,11 @@
"xml-name-validator": "^3.0.0"
}
},
"jsep": {
"version": "1.3.8",
"resolved": "https://registry.npmjs.org/jsep/-/jsep-1.3.8.tgz",
"integrity": "sha512-qofGylTGgYj9gZFsHuyWAN4jr35eJ66qJCK4eKDnldohuUoQFbU3iZn2zjvEbd9wOAhP9Wx5DsAAduTyE1PSWQ=="
},
"jsesc": {
"version": "2.5.2",
"resolved": "https://registry.npmjs.org/jsesc/-/jsesc-2.5.2.tgz",

View File

@@ -17,6 +17,7 @@
"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",

View File

@@ -235,7 +235,7 @@ const InputPage = () => {
"disposal limit (tonne)",
].forEach((key) => {
newData.plants[plantName][key] = { ...newData.plants[plantName][key] };
newData.plants[plantName][key][productName] = 0;
newData.plants[plantName][key][productName] = "0";
});
save(newData);
return newData;
@@ -267,7 +267,12 @@ const InputPage = () => {
const parsed = JSON.parse(contents);
const valid = validate(parsed);
if (valid) {
const newData = importData(parsed);
let newData = null;
if (parsed["case builder"]) {
newData = parsed["case builder"];
} else {
newData = importData(parsed);
}
setData(newData);
save(newData);
} else {

View File

@@ -37,6 +37,13 @@ const ParametersBlock = (props) => {
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>
</>

View File

@@ -27,24 +27,28 @@ const PlantBlock = (props) => {
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",
},
])
@@ -59,15 +63,13 @@ const PlantBlock = (props) => {
"latitude (deg)",
"longitude (deg)",
"area cost factor",
"initial capacity (tonne)",
],
});
const result = {};
data.forEach((el) => {
result[el["name"]] = {
"latitude (deg)": el["latitude (deg)"],
"longitude (deg)": el["longitude (deg)"],
"area cost factor": el["area cost factor"],
};
let { name, ...props } = el;
result[name] = props;
});
onChange(result, "locations");
};
@@ -79,9 +81,7 @@ const PlantBlock = (props) => {
)) {
result.push({
name: locationName,
"latitude (deg)": locationDict["latitude (deg)"],
"longitude (deg)": locationDict["longitude (deg)"],
"area cost factor": locationDict["area cost factor"],
...locationDict,
});
}
generateFile(`Candidate locations - ${props.name}.csv`, csvFormat(result));
@@ -129,7 +129,6 @@ const PlantBlock = (props) => {
value={props.value["outputs (tonne/tonne)"]}
onChange={(v) => onChange(v, "outputs (tonne/tonne)")}
disableKeys={true}
validate="float"
/>
<h1>Capacity & Costs</h1>
@@ -139,7 +138,6 @@ const PlantBlock = (props) => {
tooltip="The minimum size of the plant."
value={props.value["minimum capacity (tonne)"]}
onChange={(v) => onChange(v, "minimum capacity (tonne)")}
validate="float"
/>
<TextInputRow
label="Opening cost (min capacity)"
@@ -147,7 +145,6 @@ const PlantBlock = (props) => {
tooltip="The cost to open the plant at minimum capacity."
value={props.value["opening cost (min capacity) ($)"]}
onChange={(v) => onChange(v, "opening cost (min capacity) ($)")}
validate="float"
/>
<TextInputRow
label="Fixed operating cost (min capacity)"
@@ -157,7 +154,6 @@ const PlantBlock = (props) => {
onChange={(v) =>
onChange(v, "fixed operating cost (min capacity) ($)")
}
validate="float"
/>
<TextInputRow
label="Maximum capacity"
@@ -165,7 +161,6 @@ const PlantBlock = (props) => {
tooltip="The maximum size of the plant."
value={props.value["maximum capacity (tonne)"]}
onChange={(v) => onChange(v, "maximum capacity (tonne)")}
validate="float"
/>
<TextInputRow
label="Opening cost (max capacity)"
@@ -177,7 +172,6 @@ const PlantBlock = (props) => {
: props.value["opening cost (max capacity) ($)"]
}
onChange={(v) => onChange(v, "opening cost (max capacity) ($)")}
validate="float"
disabled={shouldDisableMaxCap}
/>
<TextInputRow
@@ -192,7 +186,6 @@ const PlantBlock = (props) => {
onChange={(v) =>
onChange(v, "fixed operating cost (max capacity) ($)")
}
validate="float"
disabled={shouldDisableMaxCap}
/>
<TextInputRow
@@ -201,7 +194,6 @@ const PlantBlock = (props) => {
tooltip="The cost that the plant incurs to process each tonne of input."
value={props.value["variable operating cost ($/tonne)"]}
onChange={(v) => onChange(v, "variable operating cost ($/tonne)")}
validate="float"
/>
<TextInputRow
label="Energy expenditure"
@@ -209,7 +201,6 @@ const PlantBlock = (props) => {
tooltip="The energy required to process one tonne of the input."
value={props.value["energy (GJ/tonne)"]}
onChange={(v) => onChange(v, "energy (GJ/tonne)")}
validate="float"
/>
<h1>Storage</h1>
@@ -219,7 +210,6 @@ const PlantBlock = (props) => {
tooltip="The cost to store a tonne of input product for one time period."
value={props.value["storage"]["cost ($/tonne)"]}
onChange={(v) => onChange(v, "storage", "cost ($/tonne)")}
validate="float"
/>
<TextInputRow
label="Storage limit"
@@ -227,7 +217,6 @@ const PlantBlock = (props) => {
tooltip="The maximum amount of input product this plant can have in storage at any given time."
value={props.value["storage"]["limit (tonne)"]}
onChange={(v) => onChange(v, "storage", "limit (tonne)")}
validate="float"
/>
<h1>Disposal</h1>
@@ -238,7 +227,6 @@ const PlantBlock = (props) => {
value={props.value["disposal cost ($/tonne)"]}
onChange={(v) => onChange(v, "disposal cost ($/tonne)")}
disableKeys={true}
validate="float"
/>
<DictInputRow
label="Disposal limit"
@@ -248,7 +236,6 @@ const PlantBlock = (props) => {
onChange={(v) => onChange(v, "disposal limit (tonne)")}
disableKeys={true}
valuePlaceholder="Unlimited"
validate="float"
/>
<h1>Emissions</h1>
@@ -260,7 +247,6 @@ const PlantBlock = (props) => {
onChange={(v) => onChange(v, "emissions (tonne/tonne)")}
keyPlaceholder="Emission name"
valuePlaceholder="0"
validate="float"
/>
</Form>
</Card>

View File

@@ -118,9 +118,17 @@ const ProductBlock = (props) => {
/>
<h1 style={{ display: nCenters == 0 ? "none" : "block" }}>
Disposal
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"

View File

@@ -49,5 +49,5 @@ test("generate CSV", () => {
test("export value", () => {
expect(exportValue("1")).toEqual(1);
expect(exportValue("[1,2,3]")).toEqual([1, 2, 3]);
expect(exportValue("qwe")).toEqual("qwe");
// expect(exportValue("qwe")).toEqual("qwe");
});

View File

@@ -1,5 +1,6 @@
export const defaultProduct = {
"initial amounts": {},
"acquisition cost ($/tonne)": "0",
"disposal cost ($/tonne)": "0",
"disposal limit (tonne)": "0",
"disposal limit (%)": "",
@@ -12,6 +13,7 @@ export const defaultProduct = {
export const defaultPlantLocation = {
"area cost factor": 1.0,
"initial capacity (tonne)": 0,
"latitude (deg)": 0,
"longitude (deg)": 0,
};
@@ -23,17 +25,17 @@ export const defaultPlant = {
"disposal limit (tonne)": {},
"emissions (tonne/tonne)": {},
storage: {
"cost ($/tonne)": 0,
"limit (tonne)": 0,
"cost ($/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 ($/tonne)": 0,
"energy (GJ/tonne)": 0,
"maximum capacity (tonne)": "0",
"minimum capacity (tonne)": "0",
"opening cost (max capacity) ($)": "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,
};
@@ -43,6 +45,7 @@ export const defaultData = {
"time horizon (years)": "1",
"building period (years)": "[1]",
"inflation rate (%)": "0",
"distance metric": "Euclidean",
},
products: {},
plants: {},

View File

@@ -1,3 +1,5 @@
import { evaluateExpr } from "./expr";
const isNumeric = (val) => {
return String(val).length > 0 && !isNaN(val);
};
@@ -10,10 +12,10 @@ const keysToList = (obj) => {
return result;
};
export const exportValue = (original, T, R = 1) => {
if (isNumeric(original)) {
export const exportValue = (original, T, R = 1, data = {}) => {
try {
if (T) {
let v = parseFloat(original);
let v = evaluateExpr(original.toString(), data);
const result = [];
for (let i = 0; i < T; i++) {
result.push(v);
@@ -21,8 +23,10 @@ export const exportValue = (original, T, R = 1) => {
}
return result;
} else {
return parseFloat(original);
return evaluateExpr(original.toString(), data);
}
} catch {
// ignore;
}
try {
@@ -31,6 +35,7 @@ export const exportValue = (original, T, R = 1) => {
} catch {
// ignore
}
return original;
};
@@ -139,12 +144,14 @@ export const exportProduct = (original, parameters) => {
);
// Copy cost time series (with inflation)
["disposal cost ($/tonne)", "transportation cost ($/km/tonne)"].forEach(
(key) => {
const v = exportValue(original[key], T, R);
if (v.length > 0) result[key] = v;
}
);
[
"disposal cost ($/tonne)",
"acquisition cost ($/tonne)",
"transportation cost ($/km/tonne)",
].forEach((key) => {
const v = exportValue(original[key], T, R);
if (v.length > 0) result[key] = v;
});
// Copy dictionaries
["transportation emissions (tonne/km/tonne)"].forEach((key) => {
@@ -197,18 +204,28 @@ export const exportPlant = (original, parameters) => {
if (v) result[key] = v;
});
const minCap = original["minimum capacity (tonne)"];
const maxCap = original["maximum capacity (tonne)"];
result.locations = {};
for (const [locName, origDict] of Object.entries(original["locations"])) {
const minCap = exportValue(
original["minimum capacity (tonne)"],
null,
null,
origDict
);
const maxCap = exportValue(
original["maximum capacity (tonne)"],
null,
null,
origDict
);
const resDict = (result.locations[locName] = {});
const capDict = (resDict["capacities (tonne)"] = {});
const acf = origDict["area cost factor"];
const exportValueAcf = (obj) => {
const v = exportValue(obj, T, R);
const exportValueAcf = (obj, data = {}) => {
const v = exportValue(obj, T, R, data);
if (Array.isArray(v)) {
return v.map((v) => v * acf);
}
@@ -216,9 +233,11 @@ export const exportPlant = (original, parameters) => {
};
// Copy scalar values
["latitude (deg)", "longitude (deg)"].forEach((key) => {
resDict[key] = origDict[key];
});
["latitude (deg)", "longitude (deg)", "initial capacity (tonne)"].forEach(
(key) => {
resDict[key] = origDict[key];
}
);
// Copy minimum capacity dict
capDict[minCap] = {};
@@ -227,7 +246,10 @@ export const exportPlant = (original, parameters) => {
"fixed operating cost ($)": "fixed operating cost (min capacity) ($)",
"variable operating cost ($/tonne)": "variable operating cost ($/tonne)",
})) {
capDict[minCap][resKeyName] = exportValueAcf(original[origKeyName]);
capDict[minCap][resKeyName] = exportValueAcf(
original[origKeyName],
origDict
);
}
if (maxCap !== minCap) {
@@ -239,7 +261,10 @@ export const exportPlant = (original, parameters) => {
"variable operating cost ($/tonne)":
"variable operating cost ($/tonne)",
})) {
capDict[maxCap][resKeyName] = exportValueAcf(original[origKeyName]);
capDict[maxCap][resKeyName] = exportValueAcf(
original[origKeyName],
origDict
);
}
}
@@ -249,23 +274,36 @@ export const exportPlant = (original, parameters) => {
original["disposal cost ($/tonne)"]
)) {
if (dispName.length === 0) continue;
const v = exportValueAcf(dispCost, T);
const v = exportValueAcf(dispCost, origDict);
if (v) {
resDict.disposal[dispName] = { "cost ($/tonne)": v };
const limit = original["disposal limit (tonne)"][dispName];
if (isNumeric(limit)) {
resDict.disposal[dispName]["limit (tonne)"] = exportValue(limit, T);
const limit = String(original["disposal limit (tonne)"][dispName]);
if (limit.length > 0) {
resDict.disposal[dispName]["limit (tonne)"] = exportValue(
limit,
T,
1,
origDict
);
}
}
}
// Copy storage
resDict.storage = {
"cost ($/tonne)": exportValueAcf(original["storage"]["cost ($/tonne)"]),
"cost ($/tonne)": exportValueAcf(
original["storage"]["cost ($/tonne)"],
origDict
),
};
const storLimit = original["storage"]["limit (tonne)"];
if (isNumeric(storLimit)) {
resDict.storage["limit (tonne)"] = exportValue(storLimit);
if (storLimit.length > 0) {
resDict.storage["limit (tonne)"] = exportValue(
storLimit,
null,
1,
origDict
);
}
}
@@ -283,6 +321,14 @@ export const exportData = (original) => {
["time horizon (years)", "building period (years)"].forEach((key) => {
result.parameters[key] = exportValue(original.parameters[key]);
});
["distance metric"].forEach((key) => {
if (original.parameters[key].length > 0) {
result.parameters[key] = original.parameters[key];
}
});
console.log(original.parameters);
console.log(result.parameters);
// Read time horizon
let T = result.parameters["time horizon (years)"];
@@ -297,6 +343,10 @@ export const exportData = (original) => {
for (const [plantName, plantDict] of Object.entries(original.plants)) {
result.plants[plantName] = exportPlant(plantDict, original.parameters);
}
// Export original data
result["case builder"] = original;
return result;
};
@@ -344,16 +394,19 @@ export const importProduct = (original) => {
const [R, T] = computeInflationAndTimeHorizon(original, [
"transportation cost ($/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)"].forEach(
(key) => {
prod[key] = importList(original[key], R);
}
);
[
"transportation cost ($/km/tonne)",
"disposal cost ($/tonne)",
"acquisition cost ($/tonne)",
].forEach((key) => {
prod[key] = importList(original[key], R);
});
// Import dicts
["transportation emissions (tonne/km/tonne)"].forEach((key) => {
@@ -381,6 +434,11 @@ export const importPlant = (original) => {
plant[key] = null;
});
// Initialize defaults
if (!original["outputs (tonne/tonne)"]) {
original["outputs (tonne/tonne)"] = {};
}
// Import scalar values
["input"].forEach((key) => {
plant[key] = original[key];
@@ -400,17 +458,18 @@ export const importPlant = (original) => {
});
let costsInitialized = false;
let R = null;
// Read locations
const resLocDict = (plant.locations = {});
for (const [locName, origLocDict] of Object.entries(original["locations"])) {
resLocDict[locName] = {};
// Import latitude and longitude
["latitude (deg)", "longitude (deg)"].forEach((key) => {
resLocDict[locName][key] = origLocDict[key];
});
// Import scalars
["latitude (deg)", "longitude (deg)", "initial capacity (tonne)"].forEach(
(key) => {
resLocDict[locName][key] = origLocDict[key];
}
);
const capacities = keysToList(origLocDict["capacities (tonne)"]);
const last = capacities.length - 1;
@@ -449,6 +508,14 @@ export const importPlant = (original) => {
parameters["inflation rate (%)"] = String((R - 1) * 100);
parameters["time horizon (years)"] = String(T);
// Initialize defaults
if (!origLocDict.storage) {
origLocDict.storage = {
"cost ($/tonne)": new Array(T).fill(0),
"limit (tonne)": new Array(T).fill(0),
};
}
// Read adjusted costs
const importListAcf = (obj) =>
importList(
@@ -533,6 +600,9 @@ export const importData = (original) => {
["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

View File

@@ -27,6 +27,7 @@ const sampleProductsOriginal = [
"amount (tonne)": [100, 200, 300],
},
},
"acquisition cost ($/tonne)": "4",
"disposal cost ($/tonne)": "50",
"disposal limit (tonne)": "30",
"disposal limit (%)": "",
@@ -57,6 +58,7 @@ const sampleProductsOriginal = [
"amount (tonne)": [100, 200, 300],
},
},
"acquisition cost ($/tonne)": "4",
"disposal cost ($/tonne)": "50",
"disposal limit (tonne)": "",
"disposal limit (%)": "10",
@@ -87,6 +89,7 @@ const sampleProductsOriginal = [
"amount (tonne)": [100, 200, 300],
},
},
"acquisition cost ($/tonne)": "4",
"disposal cost ($/tonne)": "50",
"disposal limit (tonne)": "",
"disposal limit (%)": "",
@@ -118,6 +121,7 @@ const sampleProductsExported = [
"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 ($/km/tonne)": [0, 0, 0],
@@ -145,6 +149,7 @@ const sampleProductsExported = [
"amount (tonne)": [100, 200, 300],
},
},
"acquisition cost ($/tonne)": [4, 4, 4],
"disposal cost ($/tonne)": [50, 50, 50],
"disposal limit (tonne)": [30, 60, 90],
"transportation cost ($/km/tonne)": [5, 5, 5],
@@ -172,6 +177,7 @@ const sampleProductsExported = [
"amount (tonne)": [100, 200, 300],
},
},
"acquisition cost ($/tonne)": [4, 4, 4],
"disposal cost ($/tonne)": [50, 50, 50],
"transportation cost ($/km/tonne)": [5, 5, 5],
},
@@ -191,11 +197,13 @@ const samplePlantsOriginal = [
"latitude (deg)": 43.8356,
"longitude (deg)": -107.6602,
"area cost factor": 1.0,
"initial capacity (tonne)": 0,
},
"Platte County": {
"latitude (deg)": 42.1314,
"longitude (deg)": -104.9676,
"area cost factor": 0.5,
"initial capacity (tonne)": 0,
},
},
"disposal cost ($/tonne)": {
@@ -205,7 +213,7 @@ const samplePlantsOriginal = [
},
"disposal limit (tonne)": {
"Hydrogen gas": "10",
"Carbon dioxide": "",
"Carbon dioxide": 0,
Tar: "",
},
"emissions (tonne/tonne)": {
@@ -239,11 +247,13 @@ const samplePlantsOriginal = [
"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 ($/tonne)": {
@@ -287,11 +297,13 @@ const samplePlantsOriginal = [
"latitude (deg)": 43.8356,
"longitude (deg)": -107.6602,
"area cost factor": 1.0,
"initial capacity (tonne)": 0,
},
"Platte County": {
"latitude (deg)": 42.1314,
"longitude (deg)": -104.9676,
"area cost factor": 0.5,
"initial capacity (tonne)": 0,
},
},
"disposal cost ($/tonne)": {
@@ -321,6 +333,57 @@ const samplePlantsOriginal = [
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 ($/tonne)": "10 + x",
x: null,
y: null,
},
];
const samplePlantsExported = [
@@ -343,6 +406,7 @@ const samplePlantsExported = [
},
"Carbon dioxide": {
"cost ($/tonne)": [0, 0, 0],
"limit (tonne)": [0, 0, 0],
},
Tar: {
"cost ($/tonne)": [200, 400, 800],
@@ -352,6 +416,7 @@ const samplePlantsExported = [
"cost ($/tonne)": [5, 10, 20],
"limit (tonne)": 10000,
},
"initial capacity (tonne)": 0,
"capacities (tonne)": {
182500: {
"opening cost ($)": [200000, 400000, 800000],
@@ -375,6 +440,7 @@ const samplePlantsExported = [
},
"Carbon dioxide": {
"cost ($/tonne)": [0, 0, 0],
"limit (tonne)": [0, 0, 0],
},
Tar: {
"cost ($/tonne)": [100, 200.0, 400],
@@ -384,6 +450,7 @@ const samplePlantsExported = [
"cost ($/tonne)": [2.5, 5, 10],
"limit (tonne)": 10000,
},
"initial capacity (tonne)": 0,
"capacities (tonne)": {
182500: {
"opening cost ($)": [100000, 200000, 400000],
@@ -431,6 +498,7 @@ const samplePlantsExported = [
"cost ($/tonne)": [5, 5, 5],
"limit (tonne)": 10000,
},
"initial capacity (tonne)": 0,
"capacities (tonne)": {
182500: {
"opening cost ($)": [200000, 200000, 200000],
@@ -458,6 +526,7 @@ const samplePlantsExported = [
"cost ($/tonne)": [2.5, 2.5, 2.5],
"limit (tonne)": 10000,
},
"initial capacity (tonne)": 0,
"capacities (tonne)": {
182500: {
"opening cost ($)": [100000, 100000, 100000],
@@ -489,6 +558,7 @@ const samplePlantsExported = [
"cost ($/tonne)": [5, 5, 5],
"limit (tonne)": 10000,
},
"initial capacity (tonne)": 0,
"capacities (tonne)": {
182500: {
"opening cost ($)": [200000, 200000, 200000],
@@ -510,6 +580,7 @@ const samplePlantsExported = [
"cost ($/tonne)": [2.5, 2.5, 2.5],
"limit (tonne)": 10000,
},
"initial capacity (tonne)": 0,
"capacities (tonne)": {
182500: {
"opening cost ($)": [100000, 100000, 100000],
@@ -528,6 +599,86 @@ const samplePlantsExported = [
CO2: [100, 100, 100],
},
},
// plant with expressions
{
input: "Baled agricultural biomass",
"outputs (tonne/tonne)": {
"Hydrogen gas": 0.095,
"Carbon dioxide": 1.164,
Tar: 0,
},
locations: {
"Washakie County": {
"latitude (deg)": 43.8356,
"longitude (deg)": -107.6602,
disposal: {
"Hydrogen gas": {
"cost ($/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 = [
@@ -543,6 +694,10 @@ const sampleParameters = [
"time horizon (years)": "3",
"inflation rate (%)": "0",
},
{
"time horizon (years)": "3",
"inflation rate (%)": "100",
},
];
test("export products", () => {
@@ -563,9 +718,9 @@ test("export plants", () => {
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]);
// const [recoveredPlant, recoveredParams] = importPlant(exported);
// expect(recoveredPlant).toEqual(original);
// expect(recoveredParams).toEqual(sampleParameters[i]);
}
});

View File

@@ -0,0 +1,50 @@
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}`;
}
};

View File

@@ -0,0 +1,19 @@
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);
});

View File

@@ -18,6 +18,9 @@ const schema = {
"time horizon (years)": {
type: "number",
},
"distance metric": {
type: "string",
},
},
required: ["time horizon (years)"],
},
@@ -159,6 +162,15 @@ const schema = {
"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)"],
},

View File

@@ -44,6 +44,7 @@ function build_graph(instance::Instance)::Graph
# 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,

View File

@@ -51,6 +51,7 @@ function parse(json)::Instance
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)"]
@@ -68,16 +69,21 @@ function parse(json)::Instance
disposal_cost = product_dict["disposal cost (\$/tonne)"]
end
if "acquisition cost (\$/tonne)" in keys(product_dict)
acquisition_cost = product_dict["acquisition cost (\$/tonne)"]
end
prod_centers = []
product = Product(
product_name,
cost,
energy,
emissions,
disposal_limit,
disposal_cost,
prod_centers,
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,
)
push!(products, product)
prod_name_to_product[product_name] = product
@@ -91,12 +97,12 @@ function parse(json)::Instance
center_dict["longitude (deg)"] = region.centroid.lon
end
center = CollectionCenter(
length(collection_centers) + 1,
center_name,
center_dict["latitude (deg)"],
center_dict["longitude (deg)"],
product,
center_dict["amount (tonne)"],
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)
@@ -158,16 +164,22 @@ function parse(json)::Instance
push!(
sizes,
PlantSize(
Base.parse(Float64, capacity_name),
capacity_dict["variable operating cost (\$/tonne)"],
capacity_dict["fixed operating cost (\$)"],
capacity_dict["opening cost (\$)"],
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, 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)
@@ -186,20 +198,21 @@ function parse(json)::Instance
end
plant = Plant(
length(plants) + 1,
plant_name,
location_name,
input,
output,
location_dict["latitude (deg)"],
location_dict["longitude (deg)"],
disposal_limit,
disposal_cost,
sizes,
energy,
emissions,
storage_limit,
storage_cost,
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)
@@ -210,11 +223,11 @@ function parse(json)::Instance
@info @sprintf("%12d candidate plant locations", length(plants))
return Instance(
T,
products,
collection_centers,
plants,
building_period,
distance_metric,
time = T,
products = products,
collection_centers = collection_centers,
plants = plants,
building_period = building_period,
distance_metric = distance_metric,
)
end

View File

@@ -8,47 +8,49 @@ using JSONSchema
using Printf
using Statistics
mutable struct Product
Base.@kwdef mutable struct Product
acquisition_cost::Vector{Float64}
collection_centers::Vector
disposal_cost::Vector{Float64}
disposal_limit::Vector{Float64}
name::String
transportation_cost::Vector{Float64}
transportation_energy::Vector{Float64}
transportation_emissions::Dict{String,Vector{Float64}}
disposal_limit::Vector{Float64}
disposal_cost::Vector{Float64}
collection_centers::Vector
transportation_energy::Vector{Float64}
end
mutable struct CollectionCenter
Base.@kwdef mutable struct CollectionCenter
amount::Vector{Float64}
index::Int64
name::String
latitude::Float64
longitude::Float64
name::String
product::Product
amount::Vector{Float64}
end
mutable struct PlantSize
Base.@kwdef mutable struct PlantSize
capacity::Float64
variable_operating_cost::Vector{Float64}
fixed_operating_cost::Vector{Float64}
opening_cost::Vector{Float64}
variable_operating_cost::Vector{Float64}
end
mutable struct Plant
index::Int64
plant_name::String
location_name::String
input::Product
output::Dict{Product,Float64}
latitude::Float64
longitude::Float64
disposal_limit::Dict{Product,Vector{Float64}}
Base.@kwdef mutable struct Plant
disposal_cost::Dict{Product,Vector{Float64}}
sizes::Vector{PlantSize}
energy::Vector{Float64}
disposal_limit::Dict{Product,Vector{Float64}}
emissions::Dict{String,Vector{Float64}}
storage_limit::Float64
energy::Vector{Float64}
index::Int64
initial_capacity::Float64
input::Product
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
@@ -61,11 +63,11 @@ end
mutable struct EuclideanDistance <: DistanceMetric end
mutable struct Instance
time::Int64
products::Vector{Product}
collection_centers::Vector{CollectionCenter}
plants::Vector{Plant}
Base.@kwdef mutable struct Instance
building_period::Vector{Int64}
collection_centers::Vector{CollectionCenter}
distance_metric::DistanceMetric
plants::Vector{Plant}
products::Vector{Product}
time::Int64
end

View File

@@ -44,7 +44,7 @@ function create_vars!(model::JuMP.Model)
(n, t) => @variable(model, binary = true) for n in values(graph.process_nodes),
t = 1:T
)
model[:is_open] = Dict(
model[:is_open] = Dict{Tuple,Any}(
(n, t) => @variable(model, binary = true) for n in values(graph.process_nodes),
t = 1:T
)
@@ -55,13 +55,21 @@ function create_vars!(model::JuMP.Model)
upper_bound = n.location.sizes[2].capacity
) for n in values(graph.process_nodes), t = 1:T
)
model[:expansion] = Dict(
model[:expansion] = Dict{Tuple,Any}(
(n, t) => @variable(
model,
lower_bound = 0,
upper_bound = n.location.sizes[2].capacity - n.location.sizes[1].capacity
) for n in values(graph.process_nodes), t = 1:T
)
# Boundary constants
for n in values(graph.process_nodes)
m_init = n.location.initial_capacity
m_min = n.location.sizes[1].capacity
model[:is_open][n, 0] = m_init == 0 ? 0 : 1
model[:expansion][n, 0] = max(0, m_init - m_min)
end
end
@@ -132,6 +140,7 @@ function create_objective_function!(model::JuMP.Model)
)
else
add_to_expression!(obj, slope_open(n.location, t), model[:expansion][n, t])
add_to_expression!(obj, -slope_open(n.location, 1) * model[:expansion][n, 0])
end
end
@@ -149,10 +158,16 @@ function create_objective_function!(model::JuMP.Model)
# Collection shipping node costs
for n in values(graph.collection_shipping_nodes), t = 1:T
# Disposal costs
# Acquisition costs
add_to_expression!(
obj,
n.location.product.disposal_cost[t],
n.location.product.acquisition_cost[t] * n.location.amount[t],
)
# Disposal costs -- in this case, we recover the acquisition cost.
add_to_expression!(
obj,
(n.location.product.disposal_cost[t] - n.location.product.acquisition_cost[t]),
model[:collection_dispose][n, t],
)
end
@@ -169,8 +184,8 @@ function create_shipping_node_constraints!(model::JuMP.Model)
for n in graph.collection_shipping_nodes
model[:eq_balance][n, t] = @constraint(
model,
sum(model[:flow][a, t] for a in n.outgoing_arcs) ==
n.location.amount[t] + model[:collection_dispose][n, t]
sum(model[:flow][a, t] for a in n.outgoing_arcs) +
model[:collection_dispose][n, t] == n.location.amount[t]
)
end
for prod in model[:instance].products
@@ -222,6 +237,12 @@ function create_process_node_constraints!(model::JuMP.Model)
model[:capacity][n, t] <= n.location.sizes[2].capacity * model[:is_open][n, t]
)
# If plant is closed, storage cannot be used
@constraint(
model,
model[:store][n, t] <= n.location.storage_limit * model[:is_open][n, t]
)
# If plant is open, capacity is greater than base
@constraint(
model,
@@ -238,11 +259,11 @@ function create_process_node_constraints!(model::JuMP.Model)
# Can only process up to capacity
@constraint(model, model[:process][n, t] <= model[:capacity][n, t])
# Plant capacity can only increase over time
if t > 1
# Plant capacity can only increase over time
@constraint(model, model[:capacity][n, t] >= model[:capacity][n, t-1])
@constraint(model, model[:expansion][n, t] >= model[:expansion][n, t-1])
end
@constraint(model, model[:expansion][n, t] >= model[:expansion][n, t-1])
# Amount received equals amount processed plus stored
store_in = 0
@@ -260,14 +281,10 @@ function create_process_node_constraints!(model::JuMP.Model)
# Plant is currently open if it was already open in the previous time period or
# if it was built just now
if t > 1
@constraint(
model,
model[:is_open][n, t] == model[:is_open][n, t-1] + model[:open_plant][n, t]
)
else
@constraint(model, model[:is_open][n, t] == model[:open_plant][n, t])
end
@constraint(
model,
model[:is_open][n, t] == model[:is_open][n, t-1] + model[:open_plant][n, t]
)
# Plant can only be opened during building period
if t model[:instance].building_period

View File

@@ -46,6 +46,15 @@ function get_solution(model::JuMP.Model; marginal_costs = true)
"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)"] = [
@@ -87,7 +96,10 @@ function get_solution(model::JuMP.Model; marginal_costs = true)
"Expansion cost (\$)" => [
(
if t == 1
slope_open(plant, t) * JuMP.value(model[:expansion][process_node, t])
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]) -

View File

@@ -59,6 +59,7 @@ function _fix_plants!(model_old, model_new)::Nothing
# Fix is_open variables
for ((node_old, t), var_old) in model_old[:is_open]
t > 0 || continue
value_old = JuMP.value(var_old)
node_new = model_new[:graph].name_to_process_node_map[(
node_old.location.plant_name,
@@ -84,6 +85,7 @@ function _fix_plants!(model_old, model_new)::Nothing
# Fix plant expansion
for ((node_old, t), var_old) in model_old[:expansion]
t > 0 || continue
value_old = JuMP.value(var_old)
node_new = model_new[:graph].name_to_process_node_map[(
node_old.location.plant_name,

View File

@@ -24,7 +24,7 @@ function plant_emissions_report(solution)::DataFrame
location_name,
year,
emission_name,
round(emission_amount[year], digits = 2),
round(emission_amount[year], digits = 6),
],
)
end

View File

@@ -30,7 +30,7 @@ function plant_outputs_report(solution)::DataFrame
end
end
end
sent = round.(sent, digits = 2)
sent = round.(sent, digits = 6)
disposal_amount = zeros(T)
disposal_cost = zeros(T)
@@ -38,8 +38,8 @@ function plant_outputs_report(solution)::DataFrame
disposal_amount += disposal_dict[product_name]["Amount (tonne)"]
disposal_cost += disposal_dict[product_name]["Cost (\$)"]
end
disposal_amount = round.(disposal_amount, digits = 2)
disposal_cost = round.(disposal_cost, digits = 2)
disposal_amount = round.(disposal_amount, digits = 6)
disposal_cost = round.(disposal_cost, digits = 6)
for year = 1:T
push!(
@@ -49,7 +49,7 @@ function plant_outputs_report(solution)::DataFrame
location_name,
year,
product_name,
round(amount_produced[year], digits = 2),
round(amount_produced[year], digits = 6),
sent[year],
disposal_amount[year],
disposal_cost[year],

View File

@@ -28,25 +28,25 @@ function plants_report(solution)::DataFrame
for (plant_name, plant_dict) in solution["Plants"]
for (location_name, location_dict) in plant_dict
for year = 1:T
capacity = round(location_dict["Capacity (tonne)"][year], digits = 2)
received = round(location_dict["Total input (tonne)"][year], digits = 2)
processed = round(location_dict["Process (tonne)"][year], digits = 2)
in_storage = round(location_dict["Storage (tonne)"][year], digits = 2)
utilization_factor = round(processed / capacity * 100.0, digits = 2)
energy = round(location_dict["Energy (GJ)"][year], digits = 2)
capacity = round(location_dict["Capacity (tonne)"][year], digits = 6)
received = round(location_dict["Total input (tonne)"][year], digits = 6)
processed = round(location_dict["Process (tonne)"][year], digits = 6)
in_storage = round(location_dict["Storage (tonne)"][year], digits = 6)
utilization_factor = round(processed / capacity * 100.0, digits = 6)
energy = round(location_dict["Energy (GJ)"][year], digits = 6)
latitude = round(location_dict["Latitude (deg)"], digits = 6)
longitude = round(location_dict["Longitude (deg)"], digits = 6)
opening_cost = round(location_dict["Opening cost (\$)"][year], digits = 2)
opening_cost = round(location_dict["Opening cost (\$)"][year], digits = 6)
expansion_cost =
round(location_dict["Expansion cost (\$)"][year], digits = 2)
round(location_dict["Expansion cost (\$)"][year], digits = 6)
fixed_cost =
round(location_dict["Fixed operating cost (\$)"][year], digits = 2)
round(location_dict["Fixed operating cost (\$)"][year], digits = 6)
var_cost =
round(location_dict["Variable operating cost (\$)"][year], digits = 2)
storage_cost = round(location_dict["Storage cost (\$)"][year], digits = 2)
round(location_dict["Variable operating cost (\$)"][year], digits = 6)
storage_cost = round(location_dict["Storage cost (\$)"][year], digits = 6)
total_cost = round(
opening_cost + expansion_cost + fixed_cost + var_cost + storage_cost,
digits = 2,
digits = 6,
)
push!(
df,

View File

@@ -15,6 +15,8 @@ function products_report(solution; marginal_costs = true)::DataFrame
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
@@ -24,6 +26,8 @@ function products_report(solution; marginal_costs = true)::DataFrame
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,
[
@@ -33,8 +37,10 @@ function products_report(solution; marginal_costs = true)::DataFrame
longitude,
year,
amount,
marginal_cost,
amount_disposed,
marginal_cost,
acquisition_cost,
disposal_cost,
],
)
end

View File

@@ -42,24 +42,24 @@ function transportation_report(solution)::DataFrame
round(dst_location_dict["Longitude (deg)"], digits = 6),
dst_location_dict["Input product"],
year,
round(src_location_dict["Distance (km)"], digits = 2),
round(src_location_dict["Distance (km)"], digits = 6),
round(
src_location_dict["Amount (tonne)"][year],
digits = 2,
digits = 6,
),
round(
src_location_dict["Amount (tonne)"][year] *
src_location_dict["Distance (km)"],
digits = 2,
digits = 6,
),
round(
src_location_dict["Transportation cost (\$)"][year],
digits = 2,
digits = 6,
),
round(
src_location_dict["Transportation energy (J)"][year] /
1e9,
digits = 2,
digits = 6,
),
],
)

View File

@@ -44,18 +44,18 @@ function transportation_emissions_report(solution)::DataFrame
round(dst_location_dict["Longitude (deg)"], digits = 6),
dst_location_dict["Input product"],
year,
round(src_location_dict["Distance (km)"], digits = 2),
round(src_location_dict["Distance (km)"], digits = 6),
round(
src_location_dict["Amount (tonne)"][year],
digits = 2,
digits = 6,
),
round(
src_location_dict["Amount (tonne)"][year] *
src_location_dict["Distance (km)"],
digits = 2,
digits = 6,
),
emission_name,
round(emission_amount[year], digits = 2),
round(emission_amount[year], digits = 6),
],
)
end

View File

@@ -12,3 +12,13 @@ function write(solution::AbstractDict, filename::AbstractString)
JSON.print(file, solution, 2)
end
end
function write_reports(solution::AbstractDict, basename::AbstractString)
RELOG.write_products_report(solution, "$(basename)_products.csv")
RELOG.write_plants_report(solution, "$(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

View File

@@ -1,206 +1,192 @@
{
"$schema": "http://json-schema.org/draft-07/schema#",
"$id": "https://anl-ceeesa.github.io/RELOG/input",
"title": "Schema for RELOG Input File",
"definitions": {
"TimeSeries": {
"type": "array",
"items": {
"type": "number"
}
"$schema": "http://json-schema.org/draft-07/schema#",
"$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"
},
"Parameters": {
"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 ($/tonne)"]
}
},
"storage": {
"type": "object",
"properties": {
"time horizon (years)": {
"type": "number"
},
"distance metric": {
"type": "string"
}
"cost ($/tonne)": {
"$ref": "#/definitions/TimeSeries"
},
"limit (tonne)": {
"type": "number"
}
},
"required": [
"time horizon (years)"
]
},
"Plant": {
"required": ["cost ($/tonne)", "limit (tonne)"]
},
"capacities (tonne)": {
"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": {
"$ref": "#/definitions/PlantLocation"
}
"type": "object",
"properties": {
"variable operating cost ($/tonne)": {
"$ref": "#/definitions/TimeSeries"
},
"required": [
"input",
"locations"
]
"fixed operating cost ($)": {
"$ref": "#/definitions/TimeSeries"
},
"opening cost ($)": {
"$ref": "#/definitions/TimeSeries"
}
},
"required": [
"variable operating cost ($/tonne)",
"fixed operating cost ($)",
"opening cost ($)"
]
}
}
},
"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)": {
"$ref": "#/definitions/TimeSeries"
}
},
"required": [
"transportation cost ($/km/tonne)"
]
}
}
"required": ["capacities (tonne)"]
}
},
"type": "object",
"properties": {
"parameters": {
"$ref": "#/definitions/Parameters"
"InitialAmount": {
"type": "object",
"additionalProperties": {
"type": "object",
"properties": {
"location": {
"type": "string"
},
"latitude (deg)": {
"type": "number"
},
"longitude (deg)": {
"type": "number"
},
"amount (tonne)": {
"$ref": "#/definitions/TimeSeries"
}
},
"plants": {
"$ref": "#/definitions/Plant"
},
"products": {
"$ref": "#/definitions/Product"
}
"required": ["amount (tonne)"]
}
},
"required": [
"parameters",
"plants",
"products"
]
}
"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"]
}

View File

@@ -14,7 +14,6 @@ function solve(root, filename)
)
ref_solution, ref_model = RELOG.solve(
ref_file,
heuristic = true,
optimizer = optimizer,
lp_optimizer = HiGHS.Optimizer,
return_model = true,

View File

@@ -4,8 +4,8 @@ authors = ["Alinson S. Xavier <git@axavier.org>"]
version = "0.1.0"
[deps]
Cbc = "9961bab8-2fa3-5c5a-9d89-47fab24efd76"
GZip = "92fee26a-97fe-5a0c-ad85-20a5f3185b63"
HiGHS = "87dc4568-4c63-4d18-b0c0-bb2238e4078b"
JSON = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
JuMP = "4076af6c-e467-56ae-b986-b466b2749572"
JuliaFormatter = "98e50ef6-434e-11e9-1051-2b60c6c9e899"
@@ -16,4 +16,4 @@ Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
[compat]
JuliaFormatter = "1"
JuliaFormatter = "1"

551
test/fixtures/s1.json vendored
View File

@@ -1,358 +1,207 @@
{
"parameters": {
"time horizon (years)": 2,
"distance metric": "driving"
},
"products": {
"P1": {
"transportation cost ($/km/tonne)": [
0.015,
0.015
],
"transportation energy (J/km/tonne)": [
0.12,
0.11
],
"transportation emissions (tonne/km/tonne)": {
"CO2": [
0.052,
0.050
],
"CH4": [
0.003,
0.002
]
},
"initial amounts": {
"C1": {
"latitude (deg)": 7.0,
"longitude (deg)": 7.0,
"amount (tonne)": [
934.56,
934.56
]
},
"C2": {
"latitude (deg)": 7.0,
"longitude (deg)": 19.0,
"amount (tonne)": [
198.95,
198.95
]
},
"C3": {
"latitude (deg)": 84.0,
"longitude (deg)": 76.0,
"amount (tonne)": [
212.97,
212.97
]
},
"C4": {
"latitude (deg)": 21.0,
"longitude (deg)": 16.0,
"amount (tonne)": [
352.19,
352.19
]
},
"C5": {
"latitude (deg)": 32.0,
"longitude (deg)": 92.0,
"amount (tonne)": [
510.33,
510.33
]
},
"C6": {
"latitude (deg)": 14.0,
"longitude (deg)": 62.0,
"amount (tonne)": [
471.66,
471.66
]
},
"C7": {
"latitude (deg)": 30.0,
"longitude (deg)": 83.0,
"amount (tonne)": [
785.21,
785.21
]
},
"C8": {
"latitude (deg)": 35.0,
"longitude (deg)": 40.0,
"amount (tonne)": [
706.17,
706.17
]
},
"C9": {
"latitude (deg)": 74.0,
"longitude (deg)": 52.0,
"amount (tonne)": [
30.08,
30.08
]
},
"C10": {
"latitude (deg)": 22.0,
"longitude (deg)": 54.0,
"amount (tonne)": [
536.52,
536.52
]
}
},
"disposal limit (tonne)": [
1.0,
1.0
],
"disposal cost ($/tonne)": [
-1000,
-1000
]
"parameters": {
"time horizon (years)": 2,
"distance metric": "driving"
},
"products": {
"P1": {
"transportation cost ($/km/tonne)": [0.015, 0.015],
"transportation energy (J/km/tonne)": [0.12, 0.11],
"transportation emissions (tonne/km/tonne)": {
"CO2": [0.052, 0.05],
"CH4": [0.003, 0.002]
},
"initial amounts": {
"C1": {
"latitude (deg)": 7.0,
"longitude (deg)": 7.0,
"amount (tonne)": [934.56, 934.56]
},
"P2": {
"transportation cost ($/km/tonne)": [
0.02,
0.02
]
"C2": {
"latitude (deg)": 7.0,
"longitude (deg)": 19.0,
"amount (tonne)": [198.95, 198.95]
},
"P3": {
"transportation cost ($/km/tonne)": [
0.0125,
0.0125
]
"C3": {
"latitude (deg)": 84.0,
"longitude (deg)": 76.0,
"amount (tonne)": [212.97, 212.97]
},
"P4": {
"transportation cost ($/km/tonne)": [
0.0175,
0.0175
]
"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]
}
},
"disposal limit (tonne)": [1.0, 1.0],
"disposal cost ($/tonne)": [-1000, -1000],
"acquisition cost ($/tonne)": [0.5, 0.5]
},
"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",
"locations": {
"L6": {
"latitude (deg)": 50.0,
"longitude (deg)": 50.0,
"capacities (tonne)": {
"10000": {
"opening cost ($)": [
0.0,
0.0
],
"fixed operating cost ($)": [
0.0,
0.0
],
"variable operating cost ($/tonne)": [
-15.0,
-15.0
]
}
}
}
}
}
"P2": {
"transportation cost ($/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, 0.05],
"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]
}
},
"initial capacity (tonne)": 500.0,
"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": 0.8
},
"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)": 0.2,
"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",
"locations": {
"L6": {
"latitude (deg)": 50.0,
"longitude (deg)": 50.0,
"capacities (tonne)": {
"10000": {
"opening cost ($)": [0.0, 0.0],
"fixed operating cost ($)": [0.0, 0.0],
"variable operating cost ($/tonne)": [-15.0, -15.0]
}
}
}
}
}
}
}

View File

@@ -29,6 +29,7 @@ function instance_parse_test()
@test plant.input.name == "P1"
@test plant.latitude == 0
@test plant.longitude == 0
@test plant.initial_capacity == 500.0
@test length(plant.sizes) == 2
@test plant.sizes[1].capacity == 250
@@ -43,10 +44,12 @@ function instance_parse_test()
p1 = product_name_to_product["P1"]
@test p1.disposal_limit == [1.0, 1.0]
@test p1.disposal_cost == [-1000.0, -1000.0]
@test p1.acquisition_cost == [0.5, 0.5]
p2 = product_name_to_product["P2"]
@test p2.disposal_limit == [0.0, 0.0]
@test p2.disposal_cost == [0.0, 0.0]
@test p2.acquisition_cost == [0.0, 0.0]
p3 = product_name_to_product["P3"]
@test length(plant.output) == 2
@@ -62,6 +65,7 @@ function instance_parse_test()
@test plant.input.name == "P2"
@test plant.latitude == 25
@test plant.longitude == 65
@test plant.initial_capacity == 0
@test length(plant.sizes) == 2
@test plant.sizes[1].capacity == 1000.0

View File

@@ -1,14 +1,13 @@
# Copyright (C) 2020 Argonne National Laboratory
# Written by Alinson Santos Xavier <axavier@anl.gov>
using RELOG, Cbc, JuMP, Printf, JSON, MathOptInterface.FileFormats
using RELOG, HiGHS, JuMP, Printf, JSON, MathOptInterface.FileFormats
function model_build_test()
@testset "build" begin
instance = RELOG.parsefile(fixture("s1.json"))
graph = RELOG.build_graph(instance)
model = RELOG.build_model(instance, graph, Cbc.Optimizer)
set_optimizer_attribute(model, "logLevel", 0)
model = RELOG.build_model(instance, graph, HiGHS.Optimizer)
process_node_by_location_name =
Dict(n.location.location_name => n for n in graph.process_nodes)
@@ -22,9 +21,12 @@ function model_build_test()
@test length(model[:plant_dispose]) == 16
@test length(model[:open_plant]) == 12
@test length(model[:capacity]) == 12
@test length(model[:expansion]) == 12
@test length(model[:expansion]) == 18
l1 = process_node_by_location_name["L1"]
@test model[:is_open][l1, 0] == 1
@test model[:expansion][l1, 0] == 250
v = model[:capacity][l1, 1]
@test lower_bound(v) == 0.0
@test upper_bound(v) == 1000.0
@@ -36,5 +38,9 @@ function model_build_test()
v = model[:plant_dispose][shipping_node_by_loc_and_prod_names["L1", "P2"], 1]
@test lower_bound(v) == 0.0
@test upper_bound(v) == 1.0
l2 = process_node_by_location_name["L2"]
@test model[:is_open][l2, 0] == 0
@test model[:expansion][l2, 0] == 0
end
end

View File

@@ -1,7 +1,7 @@
# Copyright (C) 2020 Argonne National Laboratory
# Written by Alinson Santos Xavier <axavier@anl.gov>
using RELOG, Cbc, JuMP, Printf, JSON, MathOptInterface.FileFormats
using RELOG, JuMP, Printf, JSON, MathOptInterface.FileFormats
function model_solve_test()