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ENERGY Pro: Spatially explicit agent-based model on achieving positive energy districts.
Derkenbaeva, Erkinai; Hofstede, Gert Jan; van Leeuwen, Eveline; Halleck Vega, Solmaria; Wolfers, Juriaan.
Affiliation
  • Derkenbaeva E; Department of Social Sciences, Wageningen University and Research, Hollandseweg 1, Wageningen 6706 KN, the Netherlands.
  • Hofstede GJ; Amsterdam Institute for Advanced Metropolitan Solutions, Kattenburgerstraat 5, b. 027W, Amsterdam 1018 JA, the Netherlands.
  • van Leeuwen E; Department of Social Sciences, Wageningen University and Research, Hollandseweg 1, Wageningen 6706 KN, the Netherlands.
  • Halleck Vega S; UARM, North-West University, 11 Hoffman Street, Potchefstroom 2351, South Africa.
  • Wolfers J; Department of Social Sciences, Wageningen University and Research, Hollandseweg 1, Wageningen 6706 KN, the Netherlands.
MethodsX ; 12: 102779, 2024 Jun.
Article in En | MEDLINE | ID: mdl-38966718
ABSTRACT
This article describes the ENERGY Pro agent-based model using the Overview, Design Concept, and Details + Human Decision-making (ODD+D protocol). The model is empirically explicit and aims to investigate the adoption decisions of homeowners in Amsterdam on different energy-efficient retrofitting (EER) measures. Following the ODD+D protocol, this study uncovers the conceptual framework used for model construction, the spatial microsimulation process of expanding the data, and the model implementation details. The article also describes sensitivity analysis, validation results, and how to use and adapt the model. With this article, the authors aim to make the model replicable and accessible to other researchers and inspire them using the combination of social simulation and spatial microsimulation in studying the energy transition.•The agent-based model is described using the ODD+D protocol.•The combination of simulation methods is used for constructing an empirical model.•The model on energy transition can be adapted for other cities.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: MethodsX Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: MethodsX Year: 2024 Document type: Article