Evolution of GIS-based rural electrification planning models and an application of OnSSET in Nigeria

This study carries out an in-dept overview of GIS-based rural electrification planning models with a trace to their historical evolutions. The study focuses on web-based and desktop-based models that have been developed and used extensively in rural electrification planning in recent years. Specific...

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Bibliographic Details
Main Authors: Salisu Isihak, Uduak Akpan, Subhes Bhattacharyya
Format: Article
Language:English
Published: Elsevier 2022-08-01
Series:Renewable and Sustainable Energy Transition
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2667095X22000034
Description
Summary:This study carries out an in-dept overview of GIS-based rural electrification planning models with a trace to their historical evolutions. The study focuses on web-based and desktop-based models that have been developed and used extensively in rural electrification planning in recent years. Specifically, four of such models are considered: SOLARGIS, Network Planner, the Reference Electrification Model (REM), and OpeN Source Spatial Electrification Tool (OnSSET). We compare the performance of these models and conclude that OnSSET has better capabilities than the other models. Specifically, we find OnSSET very useful because it is open source. We demonstrate the application of OnSSET in a state in Nigeria, i.e. Kaduna State. The state is selected because of data availability. The result of the study shows that mini-grid solar PV is the cost-effective technology option for most unelectrified communities, followed by Standalone PV. Furthermore, the cost of achieving universal electricity access in the state by 2030 is estimated at US$505.08million while an additional generation capacity of 252MW will be required to achieve universal electricity coverage by 2030. The study concludes that the financial requirement seems to be beyond the capacity of Kaduna State given the prevailing economic realities in Nigeria and recommends that pro-poor public-private partnership strategies be considered for electrification projects in the state.
ISSN:2667-095X