Energy solutions in rural Africa: mapping electrification costs of distributed solar and diesel generation versus grid extension
By S. Szabó, K. Bódis, T. Huld, M. Moner-Girona. 2011
308 citations recorded by the source corpus.
Three rural electrification options are analysed showing the cost optimal conditions for a sustainable energy development applying renewable energy sources in Africa. A spatial electricity cost model has been designed to point out whether diesel generators, photovoltaic systems or extension of the grid are the least-cost option in off-grid areas. The resulting mapping application offers support to decide in which regions the communities could be electrified either within the grid or in an isolated mini-grid. Donor programs and National Rural Electrification Agencies (or equivalent governmental departments) could use this type of delineation for their program boundaries and then could use the local optimization tools adapted to the prevailing parameters.
Subfields: Artificial Intelligence, Energy Engineering and Power Technology, Pollution
View Paper: https://www.semanticscholar.org/paper/ae47b39303cb9ac8b458f2ac3a0eb8c40c53c8c4
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Citations in the corpus
- Enabling private sector investment in microgrid-based rural electrification in developing countries: A review (2015, background): “Decentralized solutions such as microgrids are therefore more cost effective solutions to delivering electricity to these areas [23,24].”
- Financing energy access and off-grid electrification: A review of status, options and challenges (2013, unknown): “Using a spatial least-cost analysis framework, [18] identified that decentralised off-grid options can be a cost-effective option in many parts of Africa and that if the affordability of consumers can be increased or cost of supply is reduced, off-grid options can surely play an important role.”
- Sustainable energy planning: Leapfrogging the energy poverty gap in Africa (2013, methodology): “01 Euro per kWh one way [9,22], with 12 l consumption in 1 h (it can cover different distances during the same period assuming approximately the same consumption per hour depending on the roughness of the surface).”