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2021-06-22 10:50:11 -05:00
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# RELOG: Reverse Logistics Optimization
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
# Released under the modified BSD license. See COPYING.md for more details.
using DataFrames
using CSV
function plant_emissions_report(solution)::DataFrame
df = DataFrame()
df."plant type" = String[]
df."location name" = String[]
df."year" = Int[]
df."emission type" = String[]
df."emission amount (tonne)" = Float64[]
T = length(solution["Energy"]["Plants (GJ)"])
for (plant_name, plant_dict) in solution["Plants"]
for (location_name, location_dict) in plant_dict
for (emission_name, emission_amount) in location_dict["Emissions (tonne)"]
for year = 1:T
push!(
df,
[
plant_name,
location_name,
year,
emission_name,
round(emission_amount[year], digits = 2),
],
)
end
end
end
end
return df
end
write_plant_emissions_report(solution, filename) =
CSV.write(filename, plant_emissions_report(solution))