REPOSITORY FOR THE OPTIMAL DEPLOYMENT OF WIND AND SOLAR ELECTRICITY CONSIDERING REGIONAL CLIMATES AND DEMAND PATTERNS TO MINIMIZE DISPATCHABLE SUPPLY

This repository is attached to the following publication: Optimal deployment of wind and solar electricity considering regional climates and demand patterns to minimize dispatchable supply - Duval J. et al. The following files are provided: - A quick user guide that presents the algorithms and the data provided in this repository, User_guide_data.pdf - Algorithms developped to apply the methodology - Support excel and .csv files for zones and countries definitions NB : All algorithms are written in Python 3.10.0 with Jupyter Notebook 7.3.3 Input data used in the model can be found here: - Load data was retrieved from the PLEXOS-World open dataset: https://doi.org/10.7910/DVN/CBYXBY - Wind and solar capacity factors data were retrieved at: https://doi.org/10.5281/zenodo.3557183