Difference between revisions of "A GIS-based Approach for Electrification Planning - A Case Study on Nigeria"
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{{HPNET Project Database | {{HPNET Project Database | ||
| − | |HPNET | + | |HPNET description=According to the latest Global Tracking Framework (2015), 18% of the global and 57% of the African population |
| − | + | live without access to electricity services—a key impediment towards social and economic growth. Accelerating | |
| − | |HPNET author= | + | access to electricity requires, inter alia, strategies and programmes that effectively address and account for the |
| − | |HPNET year= | + | geographical, infrastructural and socioeconomic characteristics of a country or region. This paper focuses on considering |
| − | |HPNET organization= | + | these characteristics by developing a Geographic Information Systems (GIS)-based methodology to inform |
| − | |HPNET project location= | + | electrification planning and strategies. The methodology is applied to Nigeria in order to identify the |
| − | |HPNET region= | + | optimal mix of electrification options, ranging from grid extensions to mini-grid and off-grid solutions. The |
| + | case study illustrates how this optimal mix is influenced by a range of parameters—including population density, | ||
| + | existing and planned transmission networks and power plants, economic activities, tariffs for grid-based electricity, | ||
| + | technology costs for mini-grid and off-grid systems and fuel costs for consumers. For a certain level of energy | ||
| + | access, on-grid connections would be optimal for the majority of the new connections in Nigeria; grid extension | ||
| + | constitutes the lowest cost option for approximately 86% of the newly electrified population in this modelling effort | ||
| + | with 2030 as the time horizon. However, there are some remote areas with low population densities where a | ||
| + | mini-grid or a stand-alone solution are the most economic options; deploying some combination of solar, wind, | ||
| + | hydro and diesel technologies depending on the locational resource availability. | ||
| + | |HPNET author=Dimitrios Mentis, Manuel Welsch, Francesco Fuso Nerini, Oliver Broad, Mark Howells, Morgan Bazilian, Holger Rogner | ||
| + | |HPNET year=2015 | ||
| + | |HPNET organization=KTH Royal Institute of Technology, International Institute for Applied Systems Analysis | ||
| + | |HPNET project location=9.081999, 8.675277000000051 | ||
| + | |HPNET region=Global/Multiple | ||
|HPNET product type=Documents | |HPNET product type=Documents | ||
| − | |HPNET topic=Technology | + | |HPNET topic=Technology |
|HPNET region south asia=Bangladesh | |HPNET region south asia=Bangladesh | ||
|HPNET product type contacts= | |HPNET product type contacts= | ||
| − | |HPNET product type documents= | + | |HPNET product type documents=Case Studies |
|HPNET product type multimedia= | |HPNET product type multimedia= | ||
| + | |HPNET topic people sub end use= | ||
| + | |HPNET topic people sub end use sub= | ||
| + | |HPNET topic people sub watershed= | ||
| + | |HPNET topic people sub community= | ||
| + | |HPNET name=A Comprehensive Study of Micro-Hydropower Plant and Its Potential in Bangladesh | ||
}} | }} | ||
{{HPNET File Upload | {{HPNET File Upload | ||
|HPNET file type=External link | |HPNET file type=External link | ||
|HPNET file internal= | |HPNET file internal= | ||
| − | |HPNET file external= | + | |HPNET file external=https://bit.ly/2IjGo9i |
}} | }} | ||
Revision as of 14:49, 14 May 2018
KNOWLEDGE PRODUCT SUMMARY
live without access to electricity services—a key impediment towards social and economic growth. Accelerating access to electricity requires, inter alia, strategies and programmes that effectively address and account for the geographical, infrastructural and socioeconomic characteristics of a country or region. This paper focuses on considering these characteristics by developing a Geographic Information Systems (GIS)-based methodology to inform electrification planning and strategies. The methodology is applied to Nigeria in order to identify the optimal mix of electrification options, ranging from grid extensions to mini-grid and off-grid solutions. The case study illustrates how this optimal mix is influenced by a range of parameters—including population density, existing and planned transmission networks and power plants, economic activities, tariffs for grid-based electricity, technology costs for mini-grid and off-grid systems and fuel costs for consumers. For a certain level of energy access, on-grid connections would be optimal for the majority of the new connections in Nigeria; grid extension constitutes the lowest cost option for approximately 86% of the newly electrified population in this modelling effort with 2030 as the time horizon. However, there are some remote areas with low population densities where a mini-grid or a stand-alone solution are the most economic options; deploying some combination of solar, wind,
hydro and diesel technologies depending on the locational resource availability.- Link: https://bit.ly/2IjGo9i
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