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: 10.4121/18865406

Luteijn-Nava Guerrero, Graciela; Hansen, Helle Hvid; Korevaar, Gijsbert; Lukszo, Zofia (2022): Supplementary data for journal article "An agent-based exploration of the effect of multi-criteria decisions on complex socio-technical heat transitions". Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/18865406.v2

Dataset

x choose version: version 1 - 2022-01-28

• Urban and Regional Planning
• Interdisciplinary Engineering
• Renewable Energy
• Other Technology
• Environmentally Sustainable Energy Activities

agent-based modelling and simulation, group decisions, homeowner association (HOA), multi-criteria decisions, socio-technical systems

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Graciela-del-Carmen Nava-Guerrero , Helle Hvid Hansen , Gijsbert Korevaar , Zofia Lukszo

A version of this dataset is previously published as a supplementary data in:

DOI: https://doi.org/10.1016/j.apenergy.2021.118118
Nava-Guerrero, G.D.C., Hansen, H. H., Korevaar, G., & Lukszo, Z. (2022). An agent-based exploration of the effect of multi-criteria decisions on complex socio-technical heat transitions. Applied Energy, 306, 118118.


This dataset contains .CSV files 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: https://doi.org/10.4121/18865433

See journal paper for a description of the simulations: https://doi.org/10.1016/j.apenergy.2021.118118

• 2022-01-28 first online

• 2022-01-31 published, posted

4TU.ResearchData

An agent-based exploration of the effect of multi-criteria decisions on complex socio-technical heat transitions

• https://doi.org/10.1016/j.apenergy.2021.118118
• https://doi.org/10.4121/18865433
• https://ccl.northwestern.edu/netlogo/download.shtml

• https://ars.els-cdn.com/content/image/1-s2.0-S0306261921013970-mmc1.zip

• 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.

TU Delft; Faculty of Technology, Policy and Management; Department Engineering Systems and Services; Energy and Industry Group