#371

Committed 14 Sep 2023 02:22AM UTC coverage: 0.271%. First build

Build # #371

Build Type

Pull #546

travis-ci

Pull Request Pull Request #546: Thermal+storage (fusion, maintenance)

Run Details

630 of 630 new or added lines in 9 files covered. (100.0%)

12 of 4424 relevant lines covered (0.27%)

0.27 hits per line

Source File
Press 'n' to go to next uncovered line, 'b' for previous

0.0

/src/load_inputs/load_fuels_data.jl

@doc raw"""
    load_fuels_data!(setup::Dict, path::AbstractString, inputs::Dict)

Read input parameters related to fuel costs and CO$_2$ content of fuels
"""
function load_fuels_data!(setup::Dict, path::AbstractString, inputs::Dict)

    # Fuel related inputs - read in different files depending on if time domain reduction is activated or not
    TDR_directory = joinpath(path, setup["TimeDomainReductionFolder"])
    # if TDR is used, my_dir = TDR_directory, else my_dir = "system"
    my_dir = get_systemfiles_path(setup, TDR_directory, path)

    filename = "Fuels_data.csv"
    fuels_in = load_dataframe(joinpath(my_dir, filename))

    for nonfuel in ("None",)
        ensure_column!(fuels_in, nonfuel, 0.0)
    end

    # Fuel costs & CO2 emissions rate for each fuel type
    fuels = names(fuels_in)[2:end]
    costs = Matrix(fuels_in[2:end, 2:end])
    CO2_content = fuels_in[1, 2:end] # tons CO2/MMBtu
    fuel_costs = Dict{AbstractString, Array{Float64}}()
    fuel_CO2 = Dict{AbstractString, Float64}()

    scale_factor = setup["ParameterScale"] == 1 ? ModelScalingFactor : 1

    for i in 1:length(fuels)
        # fuel cost is in $/MMBTU w/o scaling, $/Billon BTU w/ scaling
        fuel_costs[fuels[i]] = costs[:, i] / scale_factor
        # No need to scale fuel_CO2, fuel_CO2 is ton/MMBTU or kton/Billion BTU 
        fuel_CO2[fuels[i]] = CO2_content[i]
    end

    inputs["fuels"] = fuels
    inputs["fuel_costs"] = fuel_costs
    inputs["fuel_CO2"] = fuel_CO2

    println(filename * " Successfully Read!")

    return fuel_costs, fuel_CO2
end

function ensure_column!(df::DataFrame, col::AbstractString, fill_element)
    if col ∉ names(df)
        df[!, col] = fill(fill_element, nrow(df))
    end
end

1	@doc raw"""
2	load_fuels_data!(setup::Dict, path::AbstractString, inputs::Dict)
3
4	Read input parameters related to fuel costs and CO$_2$ content of fuels
5	"""
6	function load_fuels_data!(setup::Dict, path::AbstractString, inputs::Dict)	×
7
8	# Fuel related inputs - read in different files depending on if time domain reduction is activated or not
9	TDR_directory = joinpath(path, setup["TimeDomainReductionFolder"])	×
10	# if TDR is used, my_dir = TDR_directory, else my_dir = "system"	×
11	my_dir = get_systemfiles_path(setup, TDR_directory, path)	×
12
13	filename = "Fuels_data.csv"	×
14	fuels_in = load_dataframe(joinpath(my_dir, filename))
15		×
16	for nonfuel in ("None",)	×
17	ensure_column!(fuels_in, nonfuel, 0.0)
18	end	×
19		×
20	# Fuel costs & CO2 emissions rate for each fuel type	×
21	fuels = names(fuels_in)[2:end]	×
22	costs = Matrix(fuels_in[2:end, 2:end])
23	CO2_content = fuels_in[1, 2:end] # tons CO2/MMBtu
24	fuel_costs = Dict{AbstractString, Array{Float64}}()
25	fuel_CO2 = Dict{AbstractString, Float64}()
26		×
27	scale_factor = setup["ParameterScale"] == 1 ? ModelScalingFactor : 1	×
28		×
29	for i in 1:length(fuels)	×
30	# fuel cost is in $/MMBTU w/o scaling, $/Billon BTU w/ scaling	×
31	fuel_costs[fuels[i]] = costs[:, i] / scale_factor
32	# No need to scale fuel_CO2, fuel_CO2 is ton/MMBTU or kton/Billion BTU	×
33	fuel_CO2[fuels[i]] = CO2_content[i]
34	end	×
35		×
36	inputs["fuels"] = fuels
37	inputs["fuel_costs"] = fuel_costs	×
38	inputs["fuel_CO2"] = fuel_CO2
39
40	println(filename * " Successfully Read!")	×
41		×
42	return fuel_costs, fuel_CO2	×
43	end
44		×
45	function ensure_column!(df::DataFrame, col::AbstractString, fill_element)
46	if col ∉ names(df)	×
47	df[!, col] = fill(fill_element, nrow(df))
48	end
49	end	×

GenXProject / GenX / #371

Source File Press 'n' to go to next uncovered line, 'b' for previous

Source File
Press 'n' to go to next uncovered line, 'b' for previous