Aggregate electricity demand in South Africa : conditional forecasts to 2030

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dc.contributor.author Inglesi-Lotz, Roula
dc.date.accessioned 2012-02-22T06:42:26Z
dc.date.available 2012-02-22T06:42:26Z
dc.date.issued 2010-01
dc.description.abstract In 2008, South Africa experienced a severe electricity crisis. Domestic and industrial electricity users had to suffer from black outs all over the country. It is argued that partially the reason was the lack of research on energy, locally. However, Eskom argues that the lack of capacity can only be solved by building new power plants. The objective of this study is to specify the variables that explain the electricity demand in South Africa and to forecast electricity demand by creating a model using the Engle–Granger methodology for co-integration and Error Correction models. By producing reliable results, this study will make a significant contribution that will improve the status quo of energy research in South Africa. The findings indicate that there is a long run relationship between electricity consumption and price as well as economic growth/income. The last few years in South Africa, price elasticity was rarely taken into account because of the low and decreasing prices in the past. The short-run dynamics of the system are affected by population growth, too After the energy crisis, Eskom, the national electricity supplier, is in search for substantial funding in order to build new power plants that will help with the envisaged lack of capacity that the company experienced. By using two scenarios for the future of growth, this study shows that the electricity demand will drop substantially due to the price policies agreed – until now – by Eskom and the National Energy Regulator South Africa (NERSA) that will affect the demand for some years. en
dc.description.librarian nf2012 en
dc.description.uri http://www.elsevier.com/locate/apenergy en_US
dc.identifier.citation Inglesi, R 2010, 'Aggregate electricity demand in South Africa : conditional forecasts to 2030', Applied Energy, vol. 87, no. 1, pp. 197-204 (2010), doi:10.1016/j.apenergy.2009.08.017. en
dc.identifier.issn 0306-2619 (print)
dc.identifier.issn 1872-9118 (online)
dc.identifier.other 10.1016/j.apenergy.2009.08.017
dc.identifier.uri http://hdl.handle.net/2263/18219
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.rights © 2009 Elsevier Ltd. All rights reserved. en
dc.subject Electricity demand en
dc.subject.lcsh Electric power systems -- South Africa -- State estimation en
dc.subject.lcsh Electric power-plants -- Efficiency -- South Africa en
dc.subject.lcsh Electric power consumption—Forecasting en
dc.subject.lcsh Eskom (Firm) en
dc.subject.lcsh Demand (Economic theory) en
dc.title Aggregate electricity demand in South Africa : conditional forecasts to 2030 en
dc.type Postprint Article en


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