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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| Format: | Article |
| Language: | English |
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Elsevier
2022-08-01
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| Series: | Renewable and Sustainable Energy Transition |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667095X22000034 |
| _version_ | 1798005972049854464 |
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| author | Salisu Isihak Uduak Akpan Subhes Bhattacharyya |
| author_facet | Salisu Isihak Uduak Akpan Subhes Bhattacharyya |
| author_sort | Salisu Isihak |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T12:47:28Z |
| format | Article |
| id | doaj.art-6c3cb683e076479ea0790c9d7ca13911 |
| institution | Directory Open Access Journal |
| issn | 2667-095X |
| language | English |
| last_indexed | 2024-04-11T12:47:28Z |
| publishDate | 2022-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Renewable and Sustainable Energy Transition |
| spelling | doaj.art-6c3cb683e076479ea0790c9d7ca139112022-12-22T04:23:18ZengElsevierRenewable and Sustainable Energy Transition2667-095X2022-08-012100019Evolution of GIS-based rural electrification planning models and an application of OnSSET in NigeriaSalisu Isihak0Uduak Akpan1Subhes Bhattacharyya2Institute for Energy and Sustainable Development, De Montfort University, The Gateway, Leicester, LE1 9BH, United Kingdom; Sustainability, Policy, and Innovative, Development Research (SPIDER) Solutions Nigeria, Uyo, Akwa Ibom State, Nigeria; Corresponding author.Sustainability, Policy, and Innovative, Development Research (SPIDER) Solutions Nigeria, Uyo, Akwa Ibom State, NigeriaInstitute for Energy and Sustainable Development, De Montfort University, The Gateway, Leicester, LE1 9BH, United KingdomThis 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.http://www.sciencedirect.com/science/article/pii/S2667095X22000034Rural electrification planningElectricity accessGIS-modelsOnSSETKaduna StateNigeria |
| spellingShingle | Salisu Isihak Uduak Akpan Subhes Bhattacharyya Evolution of GIS-based rural electrification planning models and an application of OnSSET in Nigeria Renewable and Sustainable Energy Transition Rural electrification planning Electricity access GIS-models OnSSET Kaduna State Nigeria |
| title | Evolution of GIS-based rural electrification planning models and an application of OnSSET in Nigeria |
| title_full | Evolution of GIS-based rural electrification planning models and an application of OnSSET in Nigeria |
| title_fullStr | Evolution of GIS-based rural electrification planning models and an application of OnSSET in Nigeria |
| title_full_unstemmed | Evolution of GIS-based rural electrification planning models and an application of OnSSET in Nigeria |
| title_short | Evolution of GIS-based rural electrification planning models and an application of OnSSET in Nigeria |
| title_sort | evolution of gis based rural electrification planning models and an application of onsset in nigeria |
| topic | Rural electrification planning Electricity access GIS-models OnSSET Kaduna State Nigeria |
| url | http://www.sciencedirect.com/science/article/pii/S2667095X22000034 |
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