OASES

The overall objective of the "OASES" proposal is the development and demonstration of a sustainable AU-EU ecosystem for energy system modelling based on open-source software and open access data. The project will build easy-to-use modelling workflows for different spatial scales. The workflows will utilize the RES data developed in the project as well as data and tools from other similar high quality efforts (e.g. "PyPSA meets Africa" initiative). The workflows will be used by six example case studies, each with different scope, that can be replicated using code, data, tutorials, and documentation from the proposed project. By so doing, the project enables local actors to learn and perform energy system scenario analysis relevant for their needs.
e2n from University of Kassel will develop open tools for (1) detecting already installed wind energy and photovoltaic (PV) systems using satellite imagery, digital orthophotos and machine learning approaches and (2) for improving resource assessment, spatial distribution of new wind and PV systems and time series generation.