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Demand Side Management potentials for mitigating energy poverty in South Africa

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  • Monyei, C.G.
  • Adewumi, A.O.

Abstract

South Africa is severally posited to be Africa's most industrialized nation with an economy heavily reliant on energy. With depleted electricity reserve margin which led to massive load shedding and rationing of electricity in 2008, Eskom has stepped up the construction of additional power plants to cover for growing supply deficits. Emerging trends however favour Demand Side Management (DSM) initiatives as alternatives to building additional supply capacity due to environmental and economic constraints. This research evaluates the electricity per capita for 2007, 2011 and 2016 on provincial basis assuming 100% and 36.8% residential sector consumption of generated electricity to show declining electricity per capita values. A scenario simulation (for 100%, 50% and 30% household participation) of cloth washers and cloth dryers optimal dispatch is then modelled to show the enormous DSM potentials in terms of electricity cost reduction and supply flexibility. A modified genetic algorithm (MGA) is used in the dispatch of participating loads on the Medupi power plant which has been modelled to operate with carbon capture and sequestration (CCS) technology. DSM potentials of 6938.34MW, 3469.18MW and 2081.51MW are computed for 100%, 50% and 30% household participation for cloth washers and cloth dryers.

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  • Monyei, C.G. & Adewumi, A.O., 2017. "Demand Side Management potentials for mitigating energy poverty in South Africa," Energy Policy, Elsevier, vol. 111(C), pages 298-311.
    • Handle: RePEc:eee:enepol:v:111:y:2017:i:c:p:298-311
    DOI: 10.1016/j.enpol.2017.09.039
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    1. Iwafune, Yumiko & Mori, Yuko & Kawai, Toshiaki & Yagita, Yoshie, 2017. "Energy-saving effect of automatic home energy report utilizing home energy management system data in Japan," Energy, Elsevier, vol. 125(C), pages 382-392.
    2. Inglesi-Lotz, R. & Blignaut, J.N., 2012. "Electricity intensities of the OECD and South Africa: A comparison," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4491-4499.
    3. Bohlmann, Jessika & Bohlmann, Heinrich & Inglesi-Lotz, Roula & van Heerden, Jan, 2016. "An economy-wide evaluation of new power generation in South Africa: The case of Medupi and Kusile," Energy Policy, Elsevier, vol. 97(C), pages 450-460.
    4. Amusa, Hammed & Amusa, Kafayat & Mabugu, Ramos, 2009. "Aggregate demand for electricity in South Africa: An analysis using the bounds testing approach to cointegration," Energy Policy, Elsevier, vol. 37(10), pages 4167-4175, October.
    5. Kohler, Marcel, 2014. "Differential electricity pricing and energy efficiency in South Africa," Energy, Elsevier, vol. 64(C), pages 524-532.
    6. Inglesi-Lotz, R. & Pouris, A., 2012. "Energy efficiency in South Africa: A decomposition exercise," Energy, Elsevier, vol. 42(1), pages 113-120.
    7. Pereira, Marcio Giannini & Sena, José Antonio & Freitas, Marcos Aurélio Vasconcelos & Silva, Neilton Fidelis da, 2011. "Evaluation of the impact of access to electricity: A comparative analysis of South Africa, China, India and Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1427-1441, April.
    8. Chakravarty, Shoibal & Tavoni, Massimo, 2013. "Energy poverty alleviation and climate change mitigation: Is there a trade off?," Energy Economics, Elsevier, vol. 40(S1), pages 67-73.
    9. Bradley, Peter & Leach, Matthew & Torriti, Jacopo, 2013. "A review of the costs and benefits of demand response for electricity in the UK," Energy Policy, Elsevier, vol. 52(C), pages 312-327.
    10. Inglesi-Lotz, R., 2011. "The evolution of price elasticity of electricity demand in South Africa: A Kalman filter application," Energy Policy, Elsevier, vol. 39(6), pages 3690-3696, June.
    11. Inglesi-Lotz, Roula & Blignaut, James N., 2011. "South Africa’s electricity consumption: A sectoral decomposition analysis," Applied Energy, Elsevier, vol. 88(12), pages 4779-4784.
    12. Warren, Peter, 2014. "A review of demand-side management policy in the UK," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 941-951.
    13. Imhotep P. Alagidede & Tamara E. Mughogho, 2019. "Capital Account Liberalization and Capital Flows to Sub-Saharan Africa: A Panel Threshold Approach," Working Papers 203, Economic Research Southern Africa.
    14. Inglesi-Lotz, Roula & Blignaut, James N., 2014. "Improving the electricity efficiency in South Africa through a benchmark-and-trade system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 833-840.
    15. Inglesi, Roula, 2010. "Aggregate electricity demand in South Africa: Conditional forecasts to 2030," Applied Energy, Elsevier, vol. 87(1), pages 197-204, January.
    16. Bekker, Bernard & Eberhard, Anton & Gaunt, Trevor & Marquard, Andrew, 2008. "South Africa's rapid electrification programme: Policy, institutional, planning, financing and technical innovations," Energy Policy, Elsevier, vol. 36(8), pages 3115-3127, August.
    17. Nakumuryango, Amandine & Inglesi-Lotz, Roula, 2016. "South Africa’s performance on renewable energy and its relative position against the OECD countries and the rest of Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 999-1007.
    18. Chukwuka G. Monyei & Aderemi O. Adewumi & Michael O. Obolo, 2014. "Oil Well Characterization and Artificial Gas Lift Optimization Using Neural Networks Combined with Genetic Algorithm," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-10, May.
    19. Pachauri, S. & Mueller, A. & Kemmler, A. & Spreng, D., 2004. "On Measuring Energy Poverty in Indian Households," World Development, Elsevier, vol. 32(12), pages 2083-2104, December.
    Full references (including those not matched with items on IDEAS)

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