Data underlying the publication: Near-autarkic heating and cooling of buildings using a triple well ATES concept: Identifying suitable demand conditions

This repository is part of the research of M.S. van Esch, for the publication : Near-autarkic heating and cooling of buildings using a triple well ATES concept: Identifying suitable demand conditions. The research objective is to evaluate the performance of the ATES Triplet concept for varying heating demand, cooling demand, hot well injection temperature, hot well cutoff temperature and return temperature after heating. The objective is obtained with numerical simulations, of which this dataset contains the code to generate the data, and to evaluate the data. The dataset consists of python scripts, as well as input CSV files, and the SEAWAT executable.