@article{35422,
  author = {Miguel Heleno and Benjamin Sigrin and Natalie Popovich and Jenny Heeter and Anjuli Jain Figueroa and Michael Reiner and Tony Reames},
  title = {Optimizing equity in energy policy interventions: A quantitative decision-support framework for energy justice},
  abstract = {<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>},
  year = {2022},
  journal = {Applied Energy},
  volume = {325},
  pages = {119771},
  month = {11/2022},
  issn = {03062619},
  url = {https://linkinghub.elsevier.com/retrieve/pii/S0306261922010510},
  doi = {10.1016/j.apenergy.2022.119771},
  language = {eng},
}