DOE OSTI · 1884805
Optimizing equity in energy policy interventions: A quantitative decision-support framework for energy justice
Abstract
This paper presents a quantitative framework to support policy decision-making around equitable energy interventions. By combining sociodemographic and techno-economic models in the energy space, we propose a linear programming model to calculate the optimal portfolio of energy investments that explicitly minimizes the energy burden of a given population of energy insecure households. The model is formulated as a multi-objective optimization suitable to support the decisions on weatherization and deployment of distributed energy resources. We illustrate our methodology with a case study involving a population of 14,043 energy insecure households in Wayne County, Detroit, United States.
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Heleno, Miguel, Sigrin, Benjamin, Popovich, Natalie, Heeter, Jenny, Jain Figueroa, Anjuli, Reiner, Michael, Reames, Tony. 2022-08-10. Optimizing equity in energy policy interventions: A quantitative decision-support framework for energy justice. https://doi.org/10.1016/j.apenergy.2022.119771
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