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Translating observed household energy behavior to agent-based technology choices in an integrated modeling framework
Oreane Y Edelenbosch1,2, Luciana Miu3,4, Julia Sachs3
1Department of Management and Economics, Politecnico di Milan, Via Lambruschini 4/B, 20156 Milano, MI, Italy.
Iscience
|March 7, 2022
Summary
Household energy choices drive building sector decarbonization. This study uses European survey data to improve agent-based models, finding income significantly impacts energy demand and investments, crucial for understanding the energy transition.
Area of Science:
- Energy policy and household behavior analysis
- Computational social science and agent-based modeling
- Sustainable building sector research
Background:
- Decarbonizing the building sector requires understanding heterogeneous household energy choices.
- Agent-based models (ABMs) are crucial for simulating these choices but need robust empirical calibration.
- Existing models often lack detailed, cross-country household-level data.
Purpose of the Study:
- To empirically ground an agent-based residential energy choice model using novel cross-country European household data.
- To identify key drivers of household energy consumption and investment decisions.
- To improve the accuracy of energy transition simulations.
Main Methods:
- Analysis of a novel, cross-country European household survey dataset.
- Application of cluster analysis to identify patterns in energy consumption, sociodemographics, and behaviors.
- Integration of survey findings into an agent-based residential energy choice model.
Main Results:
- Energy consumption patterns are complex and not solely explained by sociodemographics, preferences, or attitudes.
- Household income is the most significant factor influencing energy demand, dwelling efficiency, and investment in energy-saving measures.
- The potential for energy use improvement in dwellings influences investment decisions.
Conclusions:
- Grounding agent-based models in empirical data is essential for accurately representing household heterogeneity.
- Understanding the nuanced factors influencing household energy choices is critical for effective energy transition strategies.
- Income and dwelling improvement potential are key variables for modeling energy-saving investments and overall transition dynamics.
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