resite_ip

This branch of the resite_ip repository contains Python scripts used to pre- and post-process application-related data for the max k-multicover problem introduced in the following publication: "Siting Renewable Power Generation Assets with Combinatorial Optimisation", Mathias Berger et al., Optimization Letters, 2021. DOI: https://doi.org/10.1007/s11590-021-01795-0

Setup

This module runs in Python 3.6. The Python packages required to run this module are listed in the requirements.yml file included in the repository. Their installation can be easily achieved via the the following command that builds a separate environment for this module from the yml file:

conda env create -f environment.yml

In addition, this repository requires the cloning of the maxk_multicover repository containing a set of Julia scripts and available here. The latter repository should be cloned in the same root folder where the resite_ip repository is used. Once this is done, the maxk_multicover folder has to be added to the PYTHONPATH.

The tool also requires to installation of the gurobi solver. The current version of the repository is tested and the outcomes of different algorithms are benchmarked against Gurobi 9.1.

Repository content

The repository contains, besides three yaml files used for model configuration and environment installation, the following four scripts within the src folder:

1. The era5data.py script provides the code to download reanalysis data via the cdsAPI of ECMWF
2. The helpers.py script contains various methods for data manipulation and pre-processing
3. The tools.py script gathers the main functions enabling the conversion of raw reanalysis data in a structured form, ready to be fed to the various siting routines
4. The main.py is mainly used to call the different siting routines embedded in this repository

License

This software is released as free software under the GPLv3.