IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v111y2017icp298-311.html
   My bibliography  Save this article

Demand Side Management potentials for mitigating energy poverty in South Africa

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421517305992
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2017.09.039?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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., 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Inglesi, Roula, 2010. "Aggregate electricity demand in South Africa: Conditional forecasts to 2030," Applied Energy, Elsevier, vol. 87(1), pages 197-204, January.
    11. 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.
    12. Kohler, Marcel, 2014. "Differential electricity pricing and energy efficiency in South Africa," Energy, Elsevier, vol. 64(C), pages 524-532.
    13. Inglesi-Lotz, R. & Pouris, A., 2012. "Energy efficiency in South Africa: A decomposition exercise," Energy, Elsevier, vol. 42(1), pages 113-120.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    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)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Giacomo Falchetta & Nicolò Stevanato & Magda Moner-Girona & Davide Mazzoni & Emanuela Colombo & Manfred Hafner, 2020. "M-LED: Multi-sectoral Latent Electricity Demand Assessment for Energy Access Planning," Working Papers 2020.09, Fondazione Eni Enrico Mattei.
    2. Nguyen, Canh Phuc & Su, Thanh Dinh, 2021. "Economic integration and economic complexity: The role of basic resources in absorptive capability in 40 selected developing countries," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 609-625.
    3. Dirk Johan van Vuuren & Annlizé L. Marnewick & Jan Harm C. Pretorius, 2021. "A Financial Evaluation of a Multiple Inclination, Rooftop-Mounted, Photovoltaic System Where Structured Tariffs Apply: A Case Study of a South African Shopping Centre," Energies, MDPI, vol. 14(6), pages 1-26, March.
    4. Lan, Jing & Khan, Sufyan Ullah & Sadiq, Muhammad & Chien, Fengsheng & Baloch, Zulfiqar Ali, 2022. "Evaluating energy poverty and its effects using multi-dimensional based DEA-like mathematical composite indicator approach: Findings from Asia," Energy Policy, Elsevier, vol. 165(C).
    5. Nguyen, Canh Phuc & Nasir, Muhammad Ali, 2021. "An inquiry into the nexus between energy poverty and income inequality in the light of global evidence," Energy Economics, Elsevier, vol. 99(C).
    6. Nguyen, Canh Phuc & Su, Thanh Dinh, 2022. "The influences of government spending on energy poverty: Evidence from developing countries," Energy, Elsevier, vol. 238(PA).
    7. Alasseri, Rajeev & Rao, T. Joji & Sreekanth, K.J., 2020. "Institution of incentive-based demand response programs and prospective policy assessments for a subsidized electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
    8. Rilwan Usman & Pegah Mirzania & Sahban W. Alnaser & Phil Hart & Chao Long, 2022. "Systematic Review of Demand-Side Management Strategies in Power Systems of Developed and Developing Countries," Energies, MDPI, vol. 15(21), pages 1-24, October.
    9. Kazmi, Hussain & Mehmood, Fahad & Shah, Maryam, 2024. "Quantifying residential energy flexibility potential for demand response programs using observational data from grid outages: Evidence from Pakistan," Energy Policy, Elsevier, vol. 188(C).
    10. Jahangir Hossain & Aida. F. A. Kadir & Ainain. N. Hanafi & Hussain Shareef & Tamer Khatib & Kyairul. A. Baharin & Mohamad. F. Sulaima, 2023. "A Review on Optimal Energy Management in Commercial Buildings," Energies, MDPI, vol. 16(4), pages 1-40, February.
    11. Pino-Mejías, Rafael & Pérez-Fargallo, Alexis & Rubio-Bellido, Carlos & Pulido-Arcas, Jesús A., 2018. "Artificial neural networks and linear regression prediction models for social housing allocation: Fuel Poverty Potential Risk Index," Energy, Elsevier, vol. 164(C), pages 627-641.
    12. Koomson, Isaac & Awaworyi Churchill, Sefa, 2022. "Employment precarity and energy poverty in post-apartheid South Africa: Exploring the racial and ethnic dimensions," Energy Economics, Elsevier, vol. 110(C).
    13. Olubayo M. Babatunde & Josiah L. Munda & Yskandar Hamam, 2019. "Selection of a Hybrid Renewable Energy Systems for a Low-Income Household," Sustainability, MDPI, vol. 11(16), pages 1-24, August.
    14. Monyei, C.G. & Jenkins, K.E.H. & Viriri, S. & Adewumi, A.O., 2018. "Policy discussion for sustainable integrated electricity expansion in South Africa," Energy Policy, Elsevier, vol. 120(C), pages 132-143.
    15. Moses Mogakolodi Kebalepile & Loveness Nyaradzo Dzikiti & Kuku Voyi, 2021. "Supervised Kohonen Self-Organizing Maps of Acute Asthma from Air Pollution Exposure," IJERPH, MDPI, vol. 18(21), pages 1-10, October.
    16. Wang, Bo & Deng, Nana & Li, Haoxiang & Zhao, Wenhui & Liu, Jie & Wang, Zhaohua, 2021. "Effect and mechanism of monetary incentives and moral suasion on residential peak-hour electricity usage," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    17. Shahzad, Umer & Gupta, Mansi & Sharma, Gagan Deep & Rao, Amar & Chopra, Ritika, 2022. "Resolving energy poverty for social change: Research directions and agenda," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    18. Desmond Eseoghene Ighravwe & Moses Olubayo Babatunde & Thapelo Cornelius Mosetlhe & Daniel Aikhuele & Daniel Akinyele, 2022. "A MCDM-based framework for the selection of renewable energy system simulation tool for teaching and learning at university level," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 13035-13056, November.
    19. Falchetta, Giacomo & Stevanato, Nicolò & Moner-Girona, Magda & Mazzoni, Davide & Colombo, Emanuela & Hafner, Manfred, 2020. "M-LED: Multi-sectoral Latent Electricity Demand Assessment for Energy Access Planning," FEP: Future Energy Program 305213, Fondazione Eni Enrico Mattei (FEEM) > FEP: Future Energy Program.
    20. Ali, Muhammad Rizwan & Shafiq, Muhammad, 2021. "Revealing expert perspectives on challenges to electricity Demand-Side Management in Pakistan: An application of Q-Methodology," Utilities Policy, Elsevier, vol. 70(C).
    21. Chukwuka Monyei & Serestina Viriri & Aderemi Adewumi & Innocent Davidson & Daniel Akinyele, 2018. "A Smart Grid Framework for Optimally Integrating Supply-Side, Demand-Side and Transmission Line Management Systems," Energies, MDPI, vol. 11(5), pages 1-27, April.
    22. Tianliang Wang & Xin Jiang & Yang Jin & Dawei Song & Meng Yang & Qingshan Zeng, 2019. "Peaking Compensation Mechanism for Thermal Units and Virtual Peaking Plants Union Promoting Curtailed Wind Power Integration," Energies, MDPI, vol. 12(17), pages 1-20, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ye, Yuxiang & Koch, Steven F. & Zhang, Jiangfeng, 2018. "Determinants of household electricity consumption in South Africa," Energy Economics, Elsevier, vol. 75(C), pages 120-133.
    2. Bohlmann, Jessika Andreina & Inglesi-Lotz, Roula, 2018. "Analysing the South African residential sector's energy profile," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 240-252.
    3. Klug, Thomas W. & Beyene, Abebe D. & Meles, Tensay H. & Toman, Michael A. & Hassen, Sied & Hou, Michael & Klooss, Benjamin & Mekonnen, Alemu & Jeuland, Marc, 2022. "A review of impacts of electricity tariff reform in Africa," Energy Policy, Elsevier, vol. 170(C).
    4. Morgan Bazilian & Patrick Nussbaumer & Hans-Holger Rogner & Abeeku Brew-Hammond & Vivien Foster & Shonali Pachauri & Eric Williams & Mark Howells & Philippe Niyongabo & Lawrence Musaba & Brian Ó Galla, 2011. "Energy Access Scenarios to 2030 for the Power Sector in Sub-Saharan Africa," Working Papers 2011.68, Fondazione Eni Enrico Mattei.
    5. Monyei, C.G. & Jenkins, K.E.H. & Viriri, S. & Adewumi, A.O., 2018. "Policy discussion for sustainable integrated electricity expansion in South Africa," Energy Policy, Elsevier, vol. 120(C), pages 132-143.
    6. Roula Inglesi-Lotz, 2012. "The sensitivity of the South African industrial sector’s electricity consumption to electricity price fluctuations," Working Papers 201225, University of Pretoria, Department of Economics.
    7. Adom, Philip Kofi & Bekoe, William, 2013. "Modelling electricity demand in Ghana revisited: The role of policy regime changes," Energy Policy, Elsevier, vol. 61(C), pages 42-50.
    8. Masike, Kabelo & Vermeulen, Cobus, 2022. "The time-varying elasticity of South African electricity demand," Energy, Elsevier, vol. 238(PC).
    9. Adom, Philip Kofi & Bekoe, William, 2012. "Conditional dynamic forecast of electrical energy consumption requirements in Ghana by 2020: A comparison of ARDL and PAM," Energy, Elsevier, vol. 44(1), pages 367-380.
    10. Ye, Yuxiang & Koch, Steven F., 2021. "Measuring energy poverty in South Africa based on household required energy consumption," Energy Economics, Elsevier, vol. 103(C).
    11. Inglesi-Lotz, R. & Pouris, A., 2012. "Energy efficiency in South Africa: A decomposition exercise," Energy, Elsevier, vol. 42(1), pages 113-120.
    12. Du Plessis, Gideon Edgar & Liebenberg, Leon & Mathews, Edward Henry, 2013. "The use of variable speed drives for cost-effective energy savings in South African mine cooling systems," Applied Energy, Elsevier, vol. 111(C), pages 16-27.
    13. Koch, Steven F. & Nkuna, Blessings & Ye, Yuxiang, 2024. "Income elasticity of residential electricity consumption in rural South Africa," Energy Economics, Elsevier, vol. 131(C).
    14. Koech Cheruiyot & Ezekiel Lengaram & Mncedisi Siteleki, 2024. "South Africa’s Energy Landscape Amidst the Crisis: Unpacking Energy Sources and Drivers with 2022 South African Census Data," Sustainability, MDPI, vol. 16(2), pages 1-20, January.
    15. Bohlmann, J.A. & Inglesi-Lotz, R., 2021. "Examining the determinants of electricity demand by South African households per income level," Energy Policy, Elsevier, vol. 148(PA).
    16. Tafadzwa Ruzive & Thando Mkhombo & Simbarashe Mhaka & Nomahlubi Mavikela & Andrew Phiri, 2019. "Electricity Intensity and Unemployment in South Africa: A Quantile Regression Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 9(1), pages 31-40.
    17. Adom, Philip Kofi, 2017. "The long-run price sensitivity dynamics of industrial and residential electricity demand: The impact of deregulating electricity prices," Energy Economics, Elsevier, vol. 62(C), pages 43-60.
    18. Inglesi-Lotz, R., 2019. "Energy research and R&D indicators: An LMDI decomposition analysis for the IEA Big 5 in energy research," Energy Policy, Elsevier, vol. 133(C).
    19. Xianrui Liao & Wei Yang & Yichen Wang & Junnian Song, 2019. "Uncovering Variations, Determinants, and Disparities of Multisector-Level Final Energy Use of Industries Across Cities," Sustainability, MDPI, vol. 11(6), pages 1-16, March.
    20. Inglesi-Lotz, Roula, 2018. "Decomposing the South African CO2 emissions within a BRICS countries context: Signalling potential energy rebound effects," Energy, Elsevier, vol. 147(C), pages 648-654.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:111:y:2017:i:c:p:298-311. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.