This repository features
- WACC.py a python script aggregating the Cost of Capital data of Aswath Damodaran and calculating ready to use WACC values (e.g. for global energy system optimization models)
- wacc_agg_concat.xlsx an aggregated sample output database of WACC.py with technology-average WACC values for 160 countres from 2013-2024
The output of WACC.py can be configured by three user inputs:
- Countries
By default all available 160 countries are included.
If you want to trim down your output file you can manually delete entries in user_config/country_list.csv
If you're not familiar with the countrycodes you can can check the sample database wacc_agg_concat.xlsx
- Technologies
By default 9 industry groups relevant for the energy sector are included.
Feel free to remove or add entries in user_config/industry_technology.csv
A complete list with all possible industry groups is available in user_config/industry_technology_full_list.csv
- Data year
The default year for data is 2024. If you want a long term median year use 2023. For minimal WACCs use 2021 and for maximum WACCs 2022. You can enter any year from 2013 up to 2024 in user_config/data_year.txt
The resulting WACC values are in the column 'Cost of Capital' in output/WACC.csv.
Utilized in the StEAM project for modeling of global hydrogen production and transportation networks with the energy system modeling framework Backbone: https://github.com/OliverLinsel/StEAM_model