A GIS-based approach for electrification planning-A case study on Nigeria

Mentis, D., Welsch, M., Fuso Nerini, F., Broad, O., Howells, M., Bazilian, M., & Rogner, H. ORCID: https://orcid.org/0000-0002-1045-9830 (2015). A GIS-based approach for electrification planning-A case study on Nigeria. Energy for Sustainable Development 29 142-150. 10.1016/j.esd.2015.09.007.

Full text not available from this repository.


According to the latest Global Tracking Framework (2015), 18% of the global and 57% of the African poulation live without access to electricity services-a key impediment towards social and economic growth. Accelerating access to elecricity requires, inter alia, strategies nd programmes that effectively address and account for the geographical, infrastructural and socioecnomic 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 dentify 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 orizon. 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.

Item Type: Article
Uncontrolled Keywords: electrification planning; energy access; GIS
Research Programs: Energy (ENE)
Bibliographic Reference: Energy fo Sustainable Development; 29:142-150 [December 2015]
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 08:52
Last Modified: 27 Aug 2021 17:24
URI: https://pure.iiasa.ac.at/11299

Actions (login required)

View Item View Item