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Analysis of Electrification Strategies for Rural Renewable Electrification in Developing Countries Using Agent-based Models by Jose F. Alfaro; Shelie A. Miller is a Environmental Science article available to read on EtoBox.

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This paper presents an Agent-Based Model that determines the minimum cost strategy for rural electrification delivery systems and associated decentralized generation focusing entirely on renewable resources. The model creates generalized scenarios examining stakeholders' preferences for renewable resources to deploy and preferences between centralized and decentralized generation. Literature suggests that low demand, topographical challenges and distance from the grid are the main drivers for decentralized generation. This work shows that available energy potential is an important driver as well by introducing the concepts of stress (the percentage of renewable energy potential taken up by demand) and centrality (the ratio between size of resources and average distance to demand) and demonstrating that these parameters influence the minimum cost strategy despite distance and demand. At very low stress levels the lowest cost networks result from emphasizing decentralized generation. At stress levels above 2%, least cost delivery systems result from emphasizing grid extension of clusters created around resources with high centrality and the decentralized mix is high due to the geogra

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Author

Jose F. Alfaro; Shelie A. Miller

Publisher

Elsevier BV

Published

2021

Language

EN

Field

Environmental Science (Physical Sciences)