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

DOI:10.4121/0ac41497-8eb1-41e1-90c7-a73f8393091a.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/0ac41497-8eb1-41e1-90c7-a73f8393091a

Datacite citation style

van Esch, Matthijs; Bloemendal, Martin (2025): Data underlying the publication: Near-autarkic heating and cooling of buildings using a triple well ATES concept: Identifying suitable demand conditions. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/0ac41497-8eb1-41e1-90c7-a73f8393091a.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

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.

History

  • 2025-11-03 first online, published, posted

Publisher

4TU.ResearchData

Format

CSV, py, yml, exe, md

Funding

  • NWO Open Science fund (grant code 18643) [more info...] NWO
  • Dutch National e-infrastructure (grant code EINF-6565) SURF Cooperative

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Geoscience and Engineering, Geo-engineering;
TU Delft, Faculty of Civil Engineering and Geosciences, Water Management, Water Systems Engineering

DATA

Files (12)