%0 Journal Article
%A Miguel Heleno
%A Benjamin Sigrin
%A Natalie Popovich
%A Jenny Heeter
%A Anjuli Jain Figueroa
%A Michael Reiner
%A Tony Reames
%B Applied Energy
%D 2022
%G eng
%P 119771
%R 10.1016/j.apenergy.2022.119771
%T Optimizing equity in energy policy interventions: A quantitative decision-support framework for energy justice
%U https://linkinghub.elsevier.com/retrieve/pii/S0306261922010510
%V 325
%8 11/2022
%! Applied Energy
%X <p><span>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&nbsp;</span><a class="topic-link" title="Learn more about distributed energy resources from ScienceDirect's AI-generated Topic Pages" href="https://www.sciencedirect.com/topics/engineering/distributed-energy-resource">distributed energy resources</a><span>. We illustrate our methodology with a case study involving a population of 14,043 energy insecure households in Wayne County, Detroit, United States.</span></p>