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The impact of geography on energy infrastructure costs

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  • Zvoleff, Alex
  • Kocaman, Ayse Selin
  • Huh, Woonghee Tim
  • Modi, Vijay

Abstract

Infrastructure planning for networked infrastructure such as grid electrification (or piped supply of water) has historically been a process of outward network expansion, either by utilities in response to immediate economic opportunity, or in response to a government mandate or subsidy intended to catalyze economic growth. While significant progress has been made in access to grid electricity in Asia, where population densities are greater and rural areas tend to have nucleated settlements, access to grid electricity in Sub-Saharan Africa remains low; a problem generally ascribed to differences in settlement patterns. The discussion, however, has remained qualitative, and hence it has been difficult for planners to understand the differing costs of carrying out grid expansion in one region as opposed to another. This paper describes a methodology to estimate the cost of local-level distribution systems for a least-cost network, and to compute additional information of interest to policymakers, such as the marginal cost of connecting additional households to a grid as a function of the penetration rate. We present several large datasets of household locations developed from satellite imagery, and examine them with our methodology, providing insight into the relationship between settlement pattern and the cost of rural electrification.

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  • Zvoleff, Alex & Kocaman, Ayse Selin & Huh, Woonghee Tim & Modi, Vijay, 2009. "The impact of geography on energy infrastructure costs," Energy Policy, Elsevier, vol. 37(10), pages 4066-4078, October.
  • Handle: RePEc:eee:enepol:v:37:y:2009:i:10:p:4066-4078
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    1. Parshall, Lily & Pillai, Dana & Mohan, Shashank & Sanoh, Aly & Modi, Vijay, 2009. "National electricity planning in settings with low pre-existing grid coverage: Development of a spatial model and case study of Kenya," Energy Policy, Elsevier, vol. 37(6), pages 2395-2410, June.
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    7. Kenneth Lee & Edward Miguel & Catherine Wolfram, 2016. "Experimental Evidence on the Demand for and Costs of Rural Electrification," NBER Working Papers 22292, National Bureau of Economic Research, Inc.
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    11. Parshall, Lily & Pillai, Dana & Mohan, Shashank & Sanoh, Aly & Modi, Vijay, 2009. "National electricity planning in settings with low pre-existing grid coverage: Development of a spatial model and case study of Kenya," Energy Policy, Elsevier, vol. 37(6), pages 2395-2410, June.
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    13. Kocaman, Ayse Selin & Huh, Woonghee Tim & Modi, Vijay, 2012. "Initial layout of power distribution systems for rural electrification: A heuristic algorithm for multilevel network design," Applied Energy, Elsevier, vol. 96(C), pages 302-315.
    14. Trotter, Philipp A. & Cooper, Nathanial J. & Wilson, Peter R., 2019. "A multi-criteria, long-term energy planning optimisation model with integrated on-grid and off-grid electrification – The case of Uganda," Applied Energy, Elsevier, vol. 243(C), pages 288-312.
    15. Bolukbasi, Gizem & Kocaman, Ayse Selin, 2018. "A prize collecting Steiner tree approach to least cost evaluation of grid and off-grid electrification systems," Energy, Elsevier, vol. 160(C), pages 536-543.
    16. Clemens Pizzinini & Emanuel D’Amico & Korbinian Götz & Markus Lienkamp, 2023. "Driving Sustainable Development: The Power of Vehicle-Based Services in Rural Sub-Saharan Africa," Sustainability, MDPI, vol. 15(15), pages 1-17, August.
    17. Abdul-Salam, Yakubu & Phimister, Euan, 2016. "The politico-economics of electricity planning in developing countries: A case study of Ghana," Energy Policy, Elsevier, vol. 88(C), pages 299-309.
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