ENERGY Pro: Spatially explicit agent-based model on achieving positive energy districts
Erkinai Derkenbaeva,
Gert Jan Hofstede,
Eveline van Leeuwen,
Solmaria Halleck Vega,
Juriaan Wolfers
Affiliations
Erkinai Derkenbaeva
Department of Social Sciences, Wageningen University and Research, Hollandseweg 1, Wageningen 6706 KN, the Netherlands; Amsterdam Institute for Advanced Metropolitan Solutions, Kattenburgerstraat 5, b. 027W, Amsterdam 1018 JA, the Netherlands; Corresponding author at: Department of Social Sciences, Wageningen University and Research, Hollandseweg 1, Wageningen 6706 KN, the Netherlands.
Gert Jan Hofstede
Department of Social Sciences, Wageningen University and Research, Hollandseweg 1, Wageningen 6706 KN, the Netherlands; UARM, North-West University, 11 Hoffman Street, Potchefstroom 2351, South Africa
Eveline van Leeuwen
Department of Social Sciences, Wageningen University and Research, Hollandseweg 1, Wageningen 6706 KN, the Netherlands; Amsterdam Institute for Advanced Metropolitan Solutions, Kattenburgerstraat 5, b. 027W, Amsterdam 1018 JA, the Netherlands
Solmaria Halleck Vega
Department of Social Sciences, Wageningen University and Research, Hollandseweg 1, Wageningen 6706 KN, the Netherlands
Juriaan Wolfers
Department of Social Sciences, Wageningen University and Research, Hollandseweg 1, Wageningen 6706 KN, the Netherlands
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.
