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result_data.jl
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using HTTP
using CSV
using DataFrames
using Dates
using CategoricalArrays
using Plots
@info("Loading in the functions file for data processing")
include("dataprocessingfunctions.jl")
@info("Loading in data for the results data")
include("data.jl")
"""
The following function returns all the scenarios used as price arrays for the SMR dispatch
"""
function get_all_scenario_prices_smr()::Vector{Dict{String, Any}}
scenario_price_data_all = []
scenario_price_data_temp = []
for (index2, cost_array) in enumerate(smr_cost_vals)
if index2 < 20
smr_lifetime = Int64(cost_array[2])
construction_duration = cost_array[7]
else
smr_lifetime = Int64(cost_array[2])
construction_duration = cost_array[8]
end
start_reactor = Int(ceil((construction_duration)/12))
for (index3, scenario) in enumerate(scenario_data_all)
if index3 == 1 || index3 == 2 || index3 == 3
scenario_dict = Dict(
"smr" => "$(smr_names[index2])",
"scenario" => "$(scenario_names_combined[index3])",
"data" => create_scenario_array(scenario, scenario, scenario, scenario, scenario, scenario, scenario, scenario, (smr_lifetime + start_reactor))
)
push!(scenario_price_data_all, scenario_dict)
continue
end
if length(scenario_price_data_temp) == 8
scen_names_combined_index = Int((index3 - 4)/8) + 3
scenario_dict = Dict(
"smr" => "$(smr_names[index2])",
"scenario" => "$(scenario_names_combined[scen_names_combined_index])",
"data" => create_scenario_array(scenario_price_data_temp[1], scenario_price_data_temp[2], scenario_price_data_temp[3], scenario_price_data_temp[4], scenario_price_data_temp[5], scenario_price_data_temp[6], scenario_price_data_temp[7], scenario_price_data_temp[8], (smr_lifetime + start_reactor))
)
push!(scenario_price_data_all, scenario_dict)
empty!(scenario_price_data_temp)
push!(scenario_price_data_temp, scenario)
else
push!(scenario_price_data_temp, scenario)
continue
end
end
scenario_dict = Dict(
"smr" => "$(smr_names[index2])",
"scenario" => "$(last(scenario_names_combined))",
"data" => create_scenario_array(scenario_price_data_temp[1], scenario_price_data_temp[2], scenario_price_data_temp[3], scenario_price_data_temp[4], scenario_price_data_temp[5], scenario_price_data_temp[6], scenario_price_data_temp[7], scenario_price_data_temp[8], (smr_lifetime + start_reactor))
)
push!(scenario_price_data_all, scenario_dict)
empty!(scenario_price_data_temp)
for (index3, scenario) in enumerate(scenario_23_data_all)
if length(scenario_price_data_temp) == 6
scen_names_combined_index = Int((index3 - 1)/6)
scenario_dict = Dict(
"smr" => "$(smr_names[index2])",
"scenario" => "$(scenario_names_23cambium[scen_names_combined_index])",
"data" => create_scenario_interpolated_array(scenario_price_data_temp[1], scenario_price_data_temp[2], scenario_price_data_temp[3], scenario_price_data_temp[4], scenario_price_data_temp[5], scenario_price_data_temp[6], (smr_lifetime + start_reactor))
)
push!(scenario_price_data_all, scenario_dict)
empty!(scenario_price_data_temp)
push!(scenario_price_data_temp, scenario)
else
push!(scenario_price_data_temp, scenario)
continue
end
end
scenario_dict = Dict(
"smr" => "$(smr_names[index2])",
"scenario" => "$(last(scenario_names_23cambium))",
"data" => create_scenario_interpolated_array(scenario_price_data_temp[1], scenario_price_data_temp[2], scenario_price_data_temp[3], scenario_price_data_temp[4], scenario_price_data_temp[5], scenario_price_data_temp[6], (smr_lifetime + start_reactor))
)
push!(scenario_price_data_all, scenario_dict)
empty!(scenario_price_data_temp)
end
return scenario_price_data_all
end
"""
The following function imports in the results from the case analysis, and stores them in a dictionary.
Returned is an array of dictionaries of all the cases
"""
function get_results_all_cases()
# Creating an array to hold dictionaries for all cases
all_cases = []
# Baseline
baseline_dict = Dict(
"Scenario" => "Baseline",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/baseline/baseline_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/baseline/baseline_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/baseline/baseline_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/baseline/baseline_npv_final.csv"))
)
push!(all_cases, baseline_dict)
# Coal2Nuclear
c2n_dict = Dict(
"Scenario" => "C2N",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/c2n_baseline/c2n_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/c2n_baseline/c2n_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/c2n_baseline/c2n_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/c2n_baseline/c2n_npv_final.csv"))
)
push!(all_cases, c2n_dict)
# Multi-Module Learning
multi_module_dict = Dict(
"Scenario" => "Multi-Module Learning",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/mmlearning_baseline/mmlearning_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/mmlearning_baseline/mmlearning_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/mmlearning_baseline/mmlearning_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/mmlearning_baseline/mmlearning_npv_final.csv"))
)
push!(all_cases, multi_module_dict)
# ITC 6%
itc_6_dict = Dict(
"Scenario" => "ITC 6%",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/itc_baseline/itc_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/itc_baseline/itc_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/itc_baseline/itc_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/itc_baseline/itc_npv_final.csv"))
)
push!(all_cases, itc_6_dict)
# ITC 30%
itc_30_dict = Dict(
"Scenario" => "ITC 30%",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/itc30_baseline/itc30_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/itc30_baseline/itc30_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/itc30_baseline/itc30_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/itc30_baseline/itc30_npv_final.csv"))
)
push!(all_cases, itc_30_dict)
# ITC 40%
itc_40_dict = Dict(
"Scenario" => "ITC 40%",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/itc40_baseline/itc40_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/itc40_baseline/itc40_breakeven.csv"))
)
push!(all_cases, itc_40_dict)
# ITC 50%
itc_50_dict = Dict(
"Scenario" => "ITC 50%",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/itc50_baseline/itc50_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/itc50_baseline/itc50_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/itc50_baseline/itc50_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/itc50_baseline/itc50_npv_final.csv"))
)
push!(all_cases, itc_50_dict)
# PTC $11/MWh
ptc_11_dict = Dict(
"Scenario" => "PTC \$11/MWh",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc11_baseline/ptc11_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc11_baseline/ptc11_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc11_baseline/ptc11_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc11_baseline/ptc11_npv_final.csv"))
)
push!(all_cases, ptc_11_dict)
# PTC $12/MWh
ptc_12_dict = Dict(
"Scenario" => "PTC \$12/MWh",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc12_baseline/ptc12_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc12_baseline/ptc12_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc12_baseline/ptc12_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc12_baseline/ptc12_npv_final.csv"))
)
push!(all_cases, ptc_12_dict)
# PTC $13/MWh
ptc_13_dict = Dict(
"Scenario" => "PTC \$13/MWh",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc13_baseline/ptc13_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc13_baseline/ptc13_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc13_baseline/ptc13_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc13_baseline/ptc13_npv_final.csv"))
)
push!(all_cases, ptc_13_dict)
# PTC $14/MWh
ptc_14_dict = Dict(
"Scenario" => "PTC \$14/MWh",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc14_baseline/ptc14_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc14_baseline/ptc14_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc14_baseline/ptc14_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc14_baseline/ptc14_npv_final.csv"))
)
push!(all_cases, ptc_14_dict)
# PTC $15/MWh
ptc_15_dict = Dict(
"Scenario" => "PTC \$15/MWh",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc15_baseline/ptc15_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc15_baseline/ptc15_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc15_baseline/ptc15_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc15_baseline/ptc15_npv_final.csv"))
)
push!(all_cases, ptc_15_dict)
# PTC $16/MWh
ptc_16_dict = Dict(
"Scenario" => "PTC \$16/MWh",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc16_baseline/ptc16_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc16_baseline/ptc16_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc16_baseline/ptc16_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc16_baseline/ptc16_npv_final.csv"))
)
push!(all_cases, ptc_16_dict)
# PTC $17/MWh
ptc_17_dict = Dict(
"Scenario" => "PTC \$17/MWh",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc17_baseline/ptc17_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc17_baseline/ptc17_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc17_baseline/ptc17_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc17_baseline/ptc17_npv_final.csv"))
)
push!(all_cases, ptc_17_dict)
# PTC $18/MWh
ptc_18_dict = Dict(
"Scenario" => "PTC \$18/MWh",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc18_baseline/ptc18_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc18_baseline/ptc18_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc18_baseline/ptc18_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc18_baseline/ptc18_npv_final.csv"))
)
push!(all_cases, ptc_18_dict)
# PTC $19/MWh
ptc_19_dict = Dict(
"Scenario" => "PTC \$19/MWh",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc19_baseline/ptc19_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc19_baseline/ptc19_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc19_baseline/ptc19_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc19_baseline/ptc19_npv_final.csv"))
)
push!(all_cases, ptc_19_dict)
# PTC $20/MWh
ptc_20_dict = Dict(
"Scenario" => "PTC \$20/MWh",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc20_baseline/ptc20_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc20_baseline/ptc20_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc20_baseline/ptc20_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc20_baseline/ptc20_npv_final.csv"))
)
push!(all_cases, ptc_20_dict)
# PTC $21/MWh
ptc_21_dict = Dict(
"Scenario" => "PTC \$21/MWh",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc21_baseline/ptc21_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc21_baseline/ptc21_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc21_baseline/ptc21_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc21_baseline/ptc21_npv_final.csv"))
)
push!(all_cases, ptc_21_dict)
# PTC $22/MWh
ptc_22_dict = Dict(
"Scenario" => "PTC \$22/MWh",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc22_baseline/ptc22_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc22_baseline/ptc22_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc22_baseline/ptc22_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc22_baseline/ptc22_npv_final.csv"))
)
push!(all_cases, ptc_22_dict)
# PTC $23/MWh
ptc_23_dict = Dict(
"Scenario" => "PTC \$23/MWh",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc23_baseline/ptc23_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc23_baseline/ptc23_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc23_baseline/ptc23_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc23_baseline/ptc23_npv_final.csv"))
)
push!(all_cases, ptc_23_dict)
# PTC $24/MWh
ptc_24_dict = Dict(
"Scenario" => "PTC \$24/MWh",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc24_baseline/ptc24_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc24_baseline/ptc24_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc24_baseline/ptc24_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc24_baseline/ptc24_npv_final.csv"))
)
push!(all_cases, ptc_24_dict)
# PTC $25/MWh
ptc_25_dict = Dict(
"Scenario" => "PTC \$25/MWh",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc25_baseline/ptc25_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc25_baseline/ptc25_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc25_baseline/ptc25_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc25_baseline/ptc25_npv_final.csv"))
)
push!(all_cases, ptc_25_dict)
# PTC $26/MWh
ptc_26_dict = Dict(
"Scenario" => "PTC \$26/MWh",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc26_baseline/ptc26_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc26_baseline/ptc26_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc26_baseline/ptc26_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc26_baseline/ptc26_npv_final.csv"))
)
push!(all_cases, ptc_26_dict)
# PTC $27.5/MWh
ptc_27_5_dict = Dict(
"Scenario" => "PTC \$27.5/MWh",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc27.5_baseline/ptc27.5_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc27.5_baseline/ptc27.5_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc27.5_baseline/ptc27.5_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc27.5_baseline/ptc27.5_npv_final.csv"))
)
push!(all_cases, ptc_27_5_dict)
# PTC $28.05/MWh
ptc_28_05_dict = Dict(
"Scenario" => "PTC \$28.05/MWh",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc28.05_baseline/ptc2805_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc28.05_baseline/ptc28.05_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc28.05_baseline/ptc28.05_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc28.05_baseline/ptc28.05_npv_final.csv"))
)
push!(all_cases, ptc_28_05_dict)
# PTC $30.05/MWh
ptc_30_05_dict = Dict(
"Scenario" => "PTC \$30.05/MWh",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc30.05_baseline/ptc3005_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc30.05_baseline/ptc30.05_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc30.05_baseline/ptc30.05_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc30.05_baseline/ptc30.05_npv_final.csv"))
)
push!(all_cases, ptc_30_05_dict)
# PTC $33/MWh
ptc_33_dict = Dict(
"Scenario" => "PTC \$33/MWh",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc33_baseline/ptc33_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc33_baseline/ptc33_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc33_baseline/ptc33_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/ptc33_baseline/ptc33_npv_final.csv"))
)
push!(all_cases, ptc_33_dict)
# Capacity Market $1/kW-month
cm_1_dict = Dict(
"Scenario" => "Capacity Market \$1/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm1_baseline/cm1_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm1_baseline/cm1_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm1_baseline/cm1_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm1_baseline/cm1_npv_final.csv"))
)
push!(all_cases, cm_1_dict)
# Capacity Market $2/kW-month
cm_2_dict = Dict(
"Scenario" => "Capacity Market \$2/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm2_baseline/cm2_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm2_baseline/cm2_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm2_baseline/cm2_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm2_baseline/cm2_npv_final.csv"))
)
push!(all_cases, cm_2_dict)
# Capacity Market $3/kW-month
cm_3_dict = Dict(
"Scenario" => "Capacity Market \$3/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm3_baseline/cm3_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm3_baseline/cm3_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm3_baseline/cm3_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm3_baseline/cm3_npv_final.csv"))
)
push!(all_cases, cm_3_dict)
# Capacity Market $4/kW-month
cm_4_dict = Dict(
"Scenario" => "Capacity Market \$4/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm4_baseline/cm4_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm4_baseline/cm4_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm4_baseline/cm4_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm4_baseline/cm4_npv_final.csv"))
)
push!(all_cases, cm_4_dict)
# Capacity Market $5/kW-month
cm_5_dict = Dict(
"Scenario" => "Capacity Market \$5/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm5_baseline/cm5_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm5_baseline/cm5_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm5_baseline/cm5_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm5_baseline/cm5_npv_final.csv"))
)
push!(all_cases, cm_5_dict)
# Capacity Market $6/kW-month
cm_6_dict = Dict(
"Scenario" => "Capacity Market \$6/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm6_baseline/cm6_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm6_baseline/cm6_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm6_baseline/cm6_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm6_baseline/cm6_npv_final.csv"))
)
push!(all_cases, cm_6_dict)
# Capacity Market $7/kW-month
cm_7_dict = Dict(
"Scenario" => "Capacity Market \$7/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm7_baseline/cm7_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm7_baseline/cm7_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm7_baseline/cm7_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm7_baseline/cm7_npv_final.csv"))
)
push!(all_cases, cm_7_dict)
# Capacity Market $8/kW-month
cm_8_dict = Dict(
"Scenario" => "Capacity Market \$8/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm8_baseline/cm8_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm8_baseline/cm8_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm8_baseline/cm8_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm8_baseline/cm8_npv_final.csv"))
)
push!(all_cases, cm_8_dict)
# Capacity Market $15/kW-month
cm_15_dict = Dict(
"Scenario" => "Capacity Market \$15/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm15_baseline/cm15_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm15_baseline/cm15_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm15_baseline/cm15_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm15_baseline/cm15_npv_final.csv"))
)
push!(all_cases, cm_15_dict)
# Capacity Market $16/kW-month
cm_16_dict = Dict(
"Scenario" => "Capacity Market \$16/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm16_baseline/cm16_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm16_baseline/cm16_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm16_baseline/cm16_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm16_baseline/cm16_npv_final.csv"))
)
push!(all_cases, cm_16_dict)
# Capacity Market $17/kW-month
cm_17_dict = Dict(
"Scenario" => "Capacity Market \$17/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm17_baseline/cm17_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm17_baseline/cm17_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm17_baseline/cm17_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm17_baseline/cm17_npv_final.csv"))
)
push!(all_cases, cm_17_dict)
# Capacity Market $18/kW-month
cm_18_dict = Dict(
"Scenario" => "Capacity Market \$18/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm18_baseline/cm18_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm18_baseline/cm18_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm18_baseline/cm18_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm18_baseline/cm18_npv_final.csv"))
)
push!(all_cases, cm_18_dict)
# Capacity Market $19/kW-month
cm_19_dict = Dict(
"Scenario" => "Capacity Market \$19/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm19_baseline/cm19_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm19_baseline/cm19_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm19_baseline/cm19_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm19_baseline/cm19_npv_final.csv"))
)
push!(all_cases, cm_19_dict)
# Capacity Market $20/kW-month
cm_20_dict = Dict(
"Scenario" => "Capacity Market \$20/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm20_baseline/cm20_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm20_baseline/cm20_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm20_baseline/cm20_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm20_baseline/cm20_npv_final.csv"))
)
push!(all_cases, cm_20_dict)
# Capacity Market $21/kW-month
cm_21_dict = Dict(
"Scenario" => "Capacity Market \$21/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm21_baseline/cm21_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm21_baseline/cm21_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm21_baseline/cm21_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm21_baseline/cm21_npv_final.csv"))
)
push!(all_cases, cm_21_dict)
# Capacity Market $22/kW-month
cm_22_dict = Dict(
"Scenario" => "Capacity Market \$22/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm22_baseline/cm22_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm22_baseline/cm22_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm22_baseline/cm22_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm22_baseline/cm22_npv_final.csv"))
)
push!(all_cases, cm_22_dict)
# Capacity Market $23/kW-month
cm_23_dict = Dict(
"Scenario" => "Capacity Market \$23/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm23_baseline/cm23_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm23_baseline/cm23_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm23_baseline/cm23_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm23_baseline/cm23_npv_final.csv"))
)
push!(all_cases, cm_23_dict)
# Capacity Market $25/kW-month
cm_25_dict = Dict(
"Scenario" => "Capacity Market \$25/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm25_baseline/cm25_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm25_baseline/cm25_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm25_baseline/cm25_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm25_baseline/cm25_npv_final.csv"))
)
push!(all_cases, cm_25_dict)
# Capacity Market $30/kW-month
cm_30_dict = Dict(
"Scenario" => "Capacity Market \$30/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm30_baseline/cm30_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm30_baseline/cm30_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm30_baseline/cm30_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm30_baseline/cm30_npv_final.csv"))
)
push!(all_cases, cm_30_dict)
# Capacity Market $35/kW-month
cm_35_dict = Dict(
"Scenario" => "Capacity Market \$35/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm35_baseline/cm35_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm35_baseline/cm35_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm35_baseline/cm35_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm35_baseline/cm35_npv_final.csv"))
)
push!(all_cases, cm_35_dict)
# Capacity Market $40/kW-month
cm_40_dict = Dict(
"Scenario" => "Capacity Market \$40/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm40_baseline/cm40_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm40_baseline/cm40_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm40_baseline/cm40_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm40_baseline/cm40_npv_final.csv"))
)
push!(all_cases, cm_40_dict)
# Capacity Market $45/kW-month
cm_45_dict = Dict(
"Scenario" => "Capacity Market \$45/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm45_baseline/cm45_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm45_baseline/cm45_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm45_baseline/cm45_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm45_baseline/cm45_npv_final.csv"))
)
push!(all_cases, cm_45_dict)
# Capacity Market $50/kW-month
cm_50_dict = Dict(
"Scenario" => "Capacity Market \$50/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm50_baseline/cm50_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm50_baseline/cm50_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm50_baseline/cm50_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm50_baseline/cm50_npv_final.csv"))
)
push!(all_cases, cm_50_dict)
# Capacity Market $55/kW-month
cm_55_dict = Dict(
"Scenario" => "Capacity Market \$55/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm55_baseline/cm55_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm55_baseline/cm55_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm55_baseline/cm55_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm55_baseline/cm55_npv_final.csv"))
)
push!(all_cases, cm_55_dict)
# Capacity Market $60/kW-month
cm_60_dict = Dict(
"Scenario" => "Capacity Market \$60/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm60_baseline/cm60_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm60_baseline/cm60_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm60_baseline/cm60_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm60_baseline/cm60_npv_final.csv"))
)
push!(all_cases, cm_60_dict)
# Capacity Market $65/kW-month
cm_65_dict = Dict(
"Scenario" => "Capacity Market \$65/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm65_baseline/cm65_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm65_baseline/cm65_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm65_baseline/cm65_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm65_baseline/cm65_npv_final.csv"))
)
push!(all_cases, cm_65_dict)
# Capacity Market $70/kW-month
cm_70_dict = Dict(
"Scenario" => "Capacity Market \$70/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm70_baseline/cm70_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm70_baseline/cm70_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm70_baseline/cm70_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm70_baseline/cm70_npv_final.csv"))
)
push!(all_cases, cm_70_dict)
# Capacity Market $75/kW-month
cm_75_dict = Dict(
"Scenario" => "Capacity Market \$75/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm75_baseline/cm75_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm75_baseline/cm75_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm75_baseline/cm75_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm75_baseline/cm75_npv_final.csv"))
)
push!(all_cases, cm_75_dict)
# Capacity Market $80/kW-month
cm_80_dict = Dict(
"Scenario" => "Capacity Market \$80/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm80_baseline/cm80_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm80_baseline/cm80_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm80_baseline/cm80_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm80_baseline/cm80_npv_final.csv"))
)
push!(all_cases, cm_80_dict)
# Capacity Market $85/kW-month
cm_85_dict = Dict(
"Scenario" => "Capacity Market \$85/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm85_baseline/cm85_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm85_baseline/cm85_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm85_baseline/cm85_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm85_baseline/cm85_npv_final.csv"))
)
push!(all_cases, cm_85_dict)
# Capacity Market $90/kW-month
cm_90_dict = Dict(
"Scenario" => "Capacity Market \$90/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm90_baseline/cm90_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm90_baseline/cm90_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm90_baseline/cm90_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm90_baseline/cm90_npv_final.csv"))
)
push!(all_cases, cm_90_dict)
# Capacity Market $95/kW-month
cm_95_dict = Dict(
"Scenario" => "Capacity Market \$95/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm95_baseline/cm95_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm95_baseline/cm95_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm95_baseline/cm95_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm95_baseline/cm95_npv_final.csv"))
)
push!(all_cases, cm_95_dict)
# Capacity Market $100/kW-month
cm_100_dict = Dict(
"Scenario" => "Capacity Market \$100/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm100_baseline/cm100_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm100_baseline/cm100_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm100_baseline/cm100_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm100_baseline/cm100_npv_final.csv"))
)
push!(all_cases, cm_100_dict)
# Capacity Market $105/kW-month
cm_105_dict = Dict(
"Scenario" => "Capacity Market \$105/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm105_baseline/cm105_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm105_baseline/cm105_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm105_baseline/cm105_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm105_baseline/cm105_npv_final.csv"))
)
push!(all_cases, cm_105_dict)
# Capacity Market $110/kW-month
cm_110_dict = Dict(
"Scenario" => "Capacity Market \$110/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm110_baseline/cm110_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm110_baseline/cm110_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm110_baseline/cm110_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm110_baseline/cm110_npv_final.csv"))
)
push!(all_cases, cm_110_dict)
# Capacity Market $115/kW-month
cm_115_dict = Dict(
"Scenario" => "Capacity Market \$115/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm115_baseline/cm115_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm115_baseline/cm115_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm115_baseline/cm115_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm115_baseline/cm115_npv_final.csv"))
)
push!(all_cases, cm_115_dict)
# Capacity Market $120/kW-month
cm_120_dict = Dict(
"Scenario" => "Capacity Market \$120/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm120_baseline/cm120_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm120_baseline/cm120_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm120_baseline/cm120_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm120_baseline/cm120_npv_final.csv"))
)
push!(all_cases, cm_120_dict)
# Capacity Market $125/kW-month
cm_125_dict = Dict(
"Scenario" => "Capacity Market \$125/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm125_baseline/cm125_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm125_baseline/cm125_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm125_baseline/cm125_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm125_baseline/cm125_npv_final.csv"))
)
push!(all_cases, cm_125_dict)
# Capacity Market $130/kW-month
cm_130_dict = Dict(
"Scenario" => "Capacity Market \$130/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm130_baseline/cm130_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm130_baseline/cm130_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm130_baseline/cm130_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/baseline_sensitivities_all/cm130_baseline/cm130_npv_final.csv"))
)
push!(all_cases, cm_130_dict)
# Synthetic Case 1: Multi-modular, PTC $15/MWh and Capacity Market of $5.0/kW-month
synthetic_case1_dict = Dict(
"Scenario" => "Synthetic Case 1: Multi-modular, PTC \$15/MWh and Capacity Market of \$5.0/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case1/synthetic_case1_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case1/synthetic_case1_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case1/synthetic_case1_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case1/synthetic_case1_npv_final.csv"))
)
push!(all_cases, synthetic_case1_dict)
# Synthetic Case 2: Multi-modular, C2N, PTC $15/MWh and Capacity Market of $5.0/kW-month
synthetic_case2_dict = Dict(
"Scenario" => "Synthetic Case 2: Multi-modular, C2N, PTC \$15/MWh and Capacity Market of \$5.0/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case2/synthetic_case2_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case2/synthetic_case2_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case2/synthetic_case2_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case2/synthetic_case2_npv_final.csv"))
)
push!(all_cases, synthetic_case2_dict)
# Synthetic Case 3: Multi-modular, C2N, ITC 6%, PTC $15/MWh and Capacity Market of $5.0/kW-month
synthetic_case3_dict = Dict(
"Scenario" => "Synthetic Case 3: Multi-modular, C2N, ITC 6%, PTC \$15/MWh and Capacity Market of \$5.0/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case3/synthetic_case3_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case3/synthetic_case3_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case3/synthetic_case3_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case3/synthetic_case3_npv_final.csv"))
)
push!(all_cases, synthetic_case3_dict)
# Synthetic Case 4: Multi-modular, C2N, ITC 30%, PTC $15/MWh and Capacity Market of $5.0/kW-month
synthetic_case4_dict = Dict(
"Scenario" => "Synthetic Case 4: Multi-modular, C2N, ITC 30%, PTC \$15/MWh and Capacity Market of \$5.0/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case4/synthetic_case4_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case4/synthetic_case4_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case4/synthetic_case4_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case4/synthetic_case4_npv_final.csv"))
)
push!(all_cases, synthetic_case4_dict)
# Synthetic Case 5: Multi-modular, C2N, ITC 40%, PTC $15/MWh and Capacity Market of $5.0/kW-month
synthetic_case5_dict = Dict(
"Scenario" => "Synthetic Case 5: Multi-modular, C2N, ITC 40%, PTC \$15/MWh and Capacity Market of \$5.0/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case5/synthetic_case5_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case5/synthetic_case5_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case5/synthetic_case5_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case5/synthetic_case5_npv_final.csv"))
)
push!(all_cases, synthetic_case5_dict)
# Synthetic Case 6: Multi-modular, C2N, ITC 50%, PTC $15/MWh and Capacity Market of $5.0/kW-month
synthetic_case6_dict = Dict(
"Scenario" => "Synthetic Case 6: Multi-modular, C2N, ITC 50%, PTC \$15/MWh and Capacity Market of \$5.0/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case6/synthetic_case6_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case6/synthetic_case6_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case6/synthetic_case6_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case6/synthetic_case6_npv_final.csv"))
)
push!(all_cases, synthetic_case6_dict)
# Synthetic Case 7: Multi-modular, C2N, ITC 30%, PTC $15/MWh and Capacity Market of $15.0/kW-month
synthetic_case7_dict = Dict(
"Scenario" => "Synthetic Case 7: Multi-modular, C2N, ITC 30%, PTC \$15/MWh and Capacity Market of \$15.0/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case7/synthetic_case7_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case7/synthetic_case7_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case7/synthetic_case7_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case7/synthetic_case7_npv_final.csv"))
)
push!(all_cases, synthetic_case7_dict)
# Synthetic Case 8: Multi-modular, C2N, ITC 30%, PTC $27.5/MWh and Capacity Market of $15.0/kW-month
synthetic_case8_dict = Dict(
"Scenario" => "Synthetic Case 8: Multi-modular, C2N, ITC 30%, PTC \$27.5/MWh and Capacity Market of \$15.0/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case8/synthetic_case8_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case8/synthetic_case8_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case8/synthetic_case8_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case8/synthetic_case8_npv_final.csv"))
)
push!(all_cases, synthetic_case8_dict)
# Synthetic Case 9: Multi-modular, C2N, ITC 40%, PTC $15/MWh and Capacity Market of $15.0/kW-month
synthetic_case9_dict = Dict(
"Scenario" => "Synthetic Case 9: Multi-modular, C2N, ITC 40%, PTC \$15/MWh and Capacity Market of \$15.0/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case9/synthetic_case9_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case9/synthetic_case9_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case9/synthetic_case9_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case9/synthetic_case9_npv_final.csv"))
)
push!(all_cases, synthetic_case9_dict)
# Synthetic Case 10: Multi-modular, C2N, ITC 50%, PTC $15/MWh and Capacity Market of $15.0/kW-month
synthetic_case10_dict = Dict(
"Scenario" => "Synthetic Case 10: Multi-modular, C2N, ITC 50%, PTC \$15/MWh and Capacity Market of \$15.0/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case10/synthetic_case10_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case10/synthetic_case10_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case10/synthetic_case10_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case10/synthetic_case10_npv_final.csv"))
)
push!(all_cases, synthetic_case10_dict)
# Synthetic Case 11: Multi-modular, C2N, ITC 6%, PTC $27.5/MWh and Capacity Market of $15.0/kW-month
synthetic_case11_dict = Dict(
"Scenario" => "Synthetic Case 11: Multi-modular, C2N, ITC 6%, PTC \$27.5/MWh and Capacity Market of \$15.0/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case11/synthetic_case11_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case11/synthetic_case11_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case11/synthetic_case11_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case11/synthetic_case11_npv_final.csv"))
)
push!(all_cases, synthetic_case11_dict)
# Synthetic Case 12: Multi-modular, C2N, ITC 40%, PTC $27.5/MWh and Capacity Market of $15.0/kW-month
synthetic_case12_dict = Dict(
"Scenario" => "Synthetic Case 12: Multi-modular, C2N, ITC 40%, PTC \$27.5/MWh and Capacity Market of \$15.0/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case12/synthetic_case12_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case12/synthetic_case12_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case12/synthetic_case12_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case12/synthetic_case12_npv_final.csv"))
)
push!(all_cases, synthetic_case12_dict)
# Synthetic Case 13: Multi-modular, C2N, ITC 50%, PTC $27.5/MWh and Capacity Market of $15.0/kW-month
synthetic_case13_dict = Dict(
"Scenario" => "Synthetic Case 13: Multi-modular, C2N, ITC 50%, PTC \$27.5/MWh and Capacity Market of \$15.0/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case13/synthetic_case13_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case13/synthetic_case13_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case13/synthetic_case13_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case13/synthetic_case13_npv_final.csv"))
)
push!(all_cases, synthetic_case13_dict)
# Synthetic Case 14: Multi-modular, C2N, ITC 6%, PTC $30.05/MWh and Capacity Market of $25.0/kW-month
synthetic_case14_dict = Dict(
"Scenario" => "Synthetic Case 14: Multi-modular, C2N, ITC 6%, PTC \$30.05/MWh and Capacity Market of \$25.0/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case14/synthetic_case14_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case14/synthetic_case14_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case14/synthetic_case14_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case14/synthetic_case14_npv_final.csv"))
)
push!(all_cases, synthetic_case14_dict)
# Synthetic Case 15: Multi-modular, C2N, ITC 30%, PTC $30.05/MWh and Capacity Market of $25.0/kW-month
synthetic_case15_dict = Dict(
"Scenario" => "Synthetic Case 15: Multi-modular, C2N, ITC 30%, PTC \$30.05/MWh and Capacity Market of \$25.0/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case15/synthetic_case15_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case15/synthetic_case15_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case15/synthetic_case15_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case15/synthetic_case15_npv_final.csv"))
)
push!(all_cases, synthetic_case15_dict)
# Synthetic Case 16: Multi-modular, C2N, ITC 40%, PTC $30.05/MWh and Capacity Market of $25.0/kW-month
synthetic_case16_dict = Dict(
"Scenario" => "Synthetic Case 16: Multi-modular, C2N, ITC 40%, PTC \$30.05/MWh and Capacity Market of \$25.0/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case16/synthetic_case16_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case16/synthetic_case16_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case16/synthetic_case16_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case16/synthetic_case16_npv_final.csv"))
)
push!(all_cases, synthetic_case16_dict)
# Synthetic Case 17: Multi-modular, C2N, ITC 50%, PTC $30.05/MWh and Capacity Market of $25.0/kW-month
synthetic_case17_dict = Dict(
"Scenario" => "Synthetic Case 17: Multi-modular, C2N, ITC 50%, PTC \$30.05/MWh and Capacity Market of \$25.0/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case17/synthetic_case17_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case17/synthetic_case17_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case17/synthetic_case17_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case17/synthetic_case17_npv_final.csv"))
)
push!(all_cases, synthetic_case17_dict)
# Synthetic Case 18: Multi-modular, C2N, ITC 50%, PTC $33.0/MWh and Capacity Market of $25.0/kW-month
synthetic_case18_dict = Dict(
"Scenario" => "Synthetic Case 18: Multi-modular, C2N, ITC 50%, PTC \$33.0/MWh and Capacity Market of \$25.0/kW-month",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case18/synthetic_case18_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case18/synthetic_case18_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case18/synthetic_case18_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/synthetic_case18/synthetic_case18_npv_final.csv"))
)
push!(all_cases, synthetic_case18_dict)
# Synthetic Learning Rate 1: 65% construction cost reduction and 5% FOM cost reduction
syntheticll_1_dict = Dict(
"Scenario" => "Synthetic Learning Rate 1: 65% construction cost reduction and 5% FOM cost reduction",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/syntheticll_case1/syntheticll_case1_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/syntheticll_case1/syntheticll_case1_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/syntheticll_case1/syntheticll_case1_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/syntheticll_case1/syntheticll_case1_npv_final.csv"))
)
push!(all_cases, syntheticll_1_dict)
# Synthetic Learning Rate 2: 65% construction cost reduction and 10% FOM cost reduction
syntheticll_2_dict = Dict(
"Scenario" => "Synthetic Learning Rate 2: 65% construction cost reduction and 10% FOM cost reduction",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/syntheticll_case2/syntheticll_case2_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/syntheticll_case2/syntheticll_case2_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/syntheticll_case2/syntheticll_case2_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/syntheticll_case2/syntheticll_case2_npv_final.csv"))
)
push!(all_cases, syntheticll_2_dict)
# Synthetic Learning Rate 3: 65% construction cost reduction and 15% FOM cost reduction
syntheticll_3_dict = Dict(
"Scenario" => "Synthetic Learning Rate 3: 65% construction cost reduction and 15% FOM cost reduction",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/syntheticll_case3/syntheticll_case3_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/syntheticll_case3/syntheticll_case3_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/syntheticll_case3/syntheticll_case3_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/syntheticll_case3/syntheticll_case3_npv_final.csv"))
)
push!(all_cases, syntheticll_3_dict)
# Synthetic Learning Rate 4: 65% construction cost reduction and 20% FOM cost reduction
syntheticll_4_dict = Dict(
"Scenario" => "Synthetic Learning Rate 4: 65% construction cost reduction and 20% FOM cost reduction",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/syntheticll_case4/syntheticll_case4_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/syntheticll_case4/syntheticll_case4_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/syntheticll_case4/syntheticll_case4_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/syntheticll_case4/syntheticll_case4_npv_final.csv"))
)
push!(all_cases, syntheticll_4_dict)
# Synthetic Learning Rate 5: 65% construction cost reduction and 25% FOM cost reduction
syntheticll_5_dict = Dict(
"Scenario" => "Synthetic Learning Rate 5: 65% construction cost reduction and 25% FOM cost reduction",
"Construction Cost DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/syntheticll_case5/syntheticll_case5_construction_cost.csv")),
"Breakeven DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/syntheticll_case5/syntheticll_case5_breakeven.csv")),
"IRR DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/syntheticll_case5/syntheticll_case5_irr.csv")),
"NPV DataFrame" => DataFrame(CSV.File("/Users/pradyrao/Desktop/thesis_plots/output_files/synthetic_cases/syntheticll_case5/syntheticll_case5_npv_final.csv"))
)
push!(all_cases, syntheticll_5_dict)
# Synthetic Learning Rate 6: 65% construction cost reduction and 30% FOM cost reduction