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Improving rural electricity system planning: An agent-based model for stakeholder engagement and decision making

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  • Alfaro, Jose F.
  • Miller, Shelie
  • Johnson, Jeremiah X.
  • Riolo, Rick R.

Abstract

Energy planners in regions with low rates of electrification face complex and high-risk challenges in selecting appropriate generating technologies and grid centralization. To better inform such processes, we present an Agent-Based Model (ABM) that facilitates engagement with stakeholders. This approach evaluates long-term plans using the cost of delivered electricity, resource mix, jobs and economic stimulus created within communities, and decentralized generation mix of the system, with results provided in a spatially-resolved format. This approach complements existing electricity planning methods (e.g., Integrated Resource Planning) by offering novel evaluation criteria based on typical stakeholder preferences.

Suggested Citation

  • Alfaro, Jose F. & Miller, Shelie & Johnson, Jeremiah X. & Riolo, Rick R., 2017. "Improving rural electricity system planning: An agent-based model for stakeholder engagement and decision making," Energy Policy, Elsevier, vol. 101(C), pages 317-331.
    • Handle: RePEc:eee:enepol:v:101:y:2017:i:c:p:317-331
    DOI: 10.1016/j.enpol.2016.10.020
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    2. B. Domenech & L. Ferrer-Martí & R. Pastor, 2022. "Multicriteria analysis of renewable-based electrification projects in developing countries," Annals of Operations Research, Springer, vol. 312(2), pages 1375-1401, May.
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    8. Sellak, Hamza & Ouhbi, Brahim & Frikh, Bouchra & Palomares, Iván, 2017. "Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1544-1577.
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