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Optimizing equity in energy policy interventions: A quantitative decision-support framework for energy justice

2022; Elsevier BV; Volume: 325; Linguagem: Inglês

10.1016/j.apenergy.2022.119771

1872-9118

Miguel Heleno, Ben Sigrin, Natalie Popovich, Jenny Heeter, Anjuli Jain Figueroa, Michael Reiner, Tony G. Reames,

Building Energy and Comfort Optimization

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.