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.
BT - Applied Energy DA - 11/2022 DO - 10.1016/j.apenergy.2022.119771 LA - eng N2 -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.
PY - 2022 EP - 119771 ST - Applied Energy T2 - Applied Energy TI - Optimizing equity in energy policy interventions: A quantitative decision-support framework for energy justice UR - https://linkinghub.elsevier.com/retrieve/pii/S0306261922010510 VL - 325 SN - 03062619 ER -