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An indicative analysis of investment opportunities in the African electricity supply sector - Using TEMBA (The Electricity Model Base for Africa)
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy Systems Analysis.ORCID iD: 0000-0003-4022-5506
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy Systems Analysis.ORCID iD: 0000-0002-2535-4134
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy Systems Analysis.
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Energy Systems Analysis.
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2016 (English)In: Energy for Sustainable Development, ISSN 0973-0826, Vol. 31, 50-66 p.Article, review/survey (Refereed) PublishedText
Abstract [en]

Africa is a resource-rich continent but lacks the required power infrastructure. Efforts such as the United Nations Sustainable Energy for All and U.S. President Obama's Power Africa initiatives aim to facilitate much needed investment. However, no systematic national and regional investment outlook is available to analysts. This paper examines indicative scenarios of power plant investments based on potential for electricity trade. OSeMOSYS, a cost-optimization tool for long-term energy planning, is used to develop least cost system configurations. The electricity supply systems of forty-seven countries are modelled individually and linked via trade links to form TEMBA (The Electricity Model Base for Africa). A scenario comparison up to 2040 shows that an enhanced grid network can alter Africa's generation mix and reduce electricity generation cost. The insights have important investment, trade and policy implications, as specific projects can be identified as of major significance, and thus receive political support and funding.

Place, publisher, year, edition, pages
Elsevier, 2016. Vol. 31, 50-66 p.
Keyword [en]
OSeMOSYS, African electricity supply, Electricity trade, Cost-optimization, TEMBA
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:kth:diva-185610DOI: 10.1016/j.esd.2015.12.001ISI: 000373032700004ScopusID: 2-s2.0-84954480460OAI: oai:DiVA.org:kth-185610DiVA: diva2:924517
Funder
Swedish Research Council, 621-2014-4964Sida - Swedish International Development Cooperation Agency, 51050071/11
Note

QC 20160428

Available from: 2016-04-28 Created: 2016-04-25 Last updated: 2016-04-28Bibliographically approved

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Taliotis, ConstantinosShivakumar, AbhishekRamos, EuniceHowells, MarkMentis, DimitrisSridharan, VigneshBroad, Oliver
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