ENERGY Pro: Spatially explicit agent-based model on achieving positive energy districts

Erkinai Derkenbaeva; Gert Jan Hofstede; Eveline van Leeuwen; Sol Maria Halleck Vega; Juriaan Wolfers

doi:10.1016/j.mex.2024.102779

ENERGY Pro: Spatially explicit agent-based model on achieving positive energy districts

Erkinai Derkenbaeva^*, Gert Jan Hofstede, Eveline van Leeuwen, Sol Maria Halleck Vega, Juriaan Wolfers

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

2 Citations (Scopus)

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.

Original language	English
Article number	102779
Journal	MethodsX
Volume	12
DOIs	https://doi.org/10.1016/j.mex.2024.102779
Publication status	Published - 1 Jun 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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10.1016/j.mex.2024.102779Licence: CC BY

https://edepot.wur.nl/660436Licence: CC BY

Smart-BEEjS: Human-Centric Energy Districts: Smart Value Generation by Building Efficiency and Energy Justice for Sustainable Living
1/04/19 → 30/04/23
Project: EU research project

Cite this

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title = "ENERGY Pro: Spatially explicit agent-based model on achieving positive energy districts",

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.",

author = "Erkinai Derkenbaeva and Hofstede, \{Gert Jan\} and \{van Leeuwen\}, Eveline and \{Halleck Vega\}, \{Sol Maria\} and Juriaan Wolfers",

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AU - Derkenbaeva, Erkinai

AU - Hofstede, Gert Jan

AU - van Leeuwen, Eveline

AU - Halleck Vega, Sol Maria

AU - Wolfers, Juriaan

PY - 2024/6/1

Y1 - 2024/6/1

N2 - 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.

AB - 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.

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ENERGY Pro: Spatially explicit agent-based model on achieving positive energy districts

Abstract

UN SDGs

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Projects

Smart-BEEjS: Human-Centric Energy Districts: Smart Value Generation by Building Efficiency and Energy Justice for Sustainable Living

Cite this