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Network Cost Estimation for Mini-Grids in Large-Scale Rural Electrification Planning

Pedro Ciller, Sara Lumbreras and Andrés González-García
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Pedro Ciller: Institute for Research in Technology (IIT), ICAI, Comillas Pontifical University, 28015 Madrid, Spain
Sara Lumbreras: Institute for Research in Technology (IIT), ICAI, Comillas Pontifical University, 28015 Madrid, Spain
Andrés González-García: Institute for Research in Technology (IIT), ICAI, Comillas Pontifical University, 28015 Madrid, Spain

Energies, 2021, vol. 14, issue 21, 1-21

Abstract: Universal access to electricity is a crucial challenge in many developing countries. Establishing the electrification agenda of an underserved region is a complicated task where computer models play a critical role in calculating geospatial plans that efficiently allocate resources. Such plans should include—among other things—reasonable estimations of the designs and economic costs of standalone systems, mini-grids, and grid extensions. This implies that computer models need to estimate the network cost for many potential mini-grids. To that end, most planning tools apply quick rules of thumb or geometric methods that ignore power flows and electric constraints, which play a significant role in network designs. This paper presents a methodology that rapidly estimates any low-voltage mini-grid network cost without neglecting the impact of electrical feasibility in such cost. We present a case study where we evaluate our method in terms of accuracy and computation time. We also compare our method with a quick estimation similar to the ones most regional planning tools apply, showing the effectiveness of our method.

Keywords: energy access; rural electrification; geospatial planning; mini-grid; network design; linear regression; hierarchical regression (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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