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

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Listed:
  • Heleno, Miguel
  • Sigrin, Benjamin
  • Popovich, Natalie
  • Heeter, Jenny
  • Jain Figueroa, Anjuli
  • Reiner, Michael
  • Reames, Tony

Abstract

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.

Suggested Citation

  • Heleno, Miguel & Sigrin, Benjamin & Popovich, Natalie & Heeter, Jenny & Jain Figueroa, Anjuli & Reiner, Michael & Reames, Tony, 2022. "Optimizing equity in energy policy interventions: A quantitative decision-support framework for energy justice," Applied Energy, Elsevier, vol. 325(C).
    • Handle: RePEc:eee:appene:v:325:y:2022:i:c:s0306261922010510
    DOI: 10.1016/j.apenergy.2022.119771
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    7. Khan, Hafiz Anwar Ullah & Ünel, Burçin & Dvorkin, Yury, 2023. "Electricity Tariff Design via Lens of Energy Justice," Omega, Elsevier, vol. 117(C).

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