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Renewable energy investment in Nigeria: A review of the renewable energy master plan

descriptionPublicationkeyboard_double_arrow_right Article 01 Dec 2010Publisher:IEEEJournal:2010 IEEE International Energy Conference

Authors: Akuru, Udochukwu B; Okoro, Ogbonnaya I;

doi: 10.1109/energycon.2010.5771668 , 10.17159/2413-3051/2014/v25i3a2659

Renewable energy investment in Nigeria: A review of the renewable energy master plan

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Abstract

Data for investment into renewable energy resources in Nigeria is mainly unavailable due to over reliance on conventional resources for energy generation. However, recent developments in the energy sector have portrayed gradual attention to investments in renewable energy resources. This paper reviews the Renewable Energy Master Plan (REMP) which identifies this improvement and presents a draft on how an increase in investment in renewable energy resources, which will in the long run balance the national energy equation, ensure energy security and promote sustainable development.

Related Organizations

University of Cape Town
South Africa
Michael Okpara University of Agriculture
Nigeria
University of Nigeria
Nigeria

Keywords

renewable energy resources, sustainable development, Nigeria, investment, Energy conservation, TJ163.26-163.5, Environmental sciences, GE1-350, Renewable Energy Master Plan

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	35
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average