Optimizing equity in energy policy interventions: A quantitative decision-support framework for energy justice
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.
Energy justice, Equity, Energy burden, DER deployment, Weatherization
Heleno, Miguel, Benjamin Sigrin, Natalie Popovich, et al. “Optimizing Equity in Energy Policy Interventions: A Quantitative Decision-Support Framework for Energy Justice.” Applied Energy 325 (November 2022): 119771. https://doi.org/10.1016/j.apenergy.2022.119771. CSS22-45.