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

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

Energy Policy, 2017, vol. 101, issue C, 317-331

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.

Keywords: Developing countries; Agent-based modeling; Policy planning; Rural electrification (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:enepol:v:101:y:2017:i:c:p:317-331

DOI: 10.1016/j.enpol.2016.10.020

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