Supplementary material from journal article "Agent-based modeling of a thermal energy transition in the built environment"

doi:10.4121/18865355.v1
The doi 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: 10.4121/18865355
Datacite citation style:
Luteijn-Nava Guerrero, Graciela; Korevaar, Gijsbert; Hansen, Helle Hvid; Lukszo, Zofia (2022): Supplementary material from journal article "Agent-based modeling of a thermal energy transition in the built environment". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/18865355.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This dataset is previously published as a supplementary material in:
DOI: https://doi.org/10.3390/en12050856
Nava Guerrero, G. D. C., Korevaar, G., Hansen, H. H., & Lukszo, Z. (2019). Agent-based modeling of a thermal energy transition in the built environment. Energies, 12(5), 856.

The dataset is a .CSV file with simulation results from an agent-based model that was built using the NetLogo software. The agent-based model is also available in this repository: 10.4121/18865367
See journal paper for a description of the simulations: https://doi.org/10.3390/en12050856
history
  • 2022-01-28 first online, published, posted
publisher
4TU.ResearchData
format
.csv
funding
  • This research was funded by the Dutch Research Council (NWO, for its initials in the Dutch language), as part of project number 14183 “Modeling Lab for smart grids, smart policies, smart entrepreneurship”. This project is Project E from the Smart Energy Systems in the Built Environment (SES-BE) Program.
organizations
TU Delft; Faculty of Technology, Policy and Management; Department Engineering Systems and Services; Energy and Industry Group

DATA

files (1)