Exploring the Efficacy and Feasibility of Wind Energy as A Panacea for Eskom’s Sustainable Generation with Energy Security and Energy Poverty
DOI:
https://doi.org/10.14738/aivp.112.14211Keywords:
Efficacy, Feasibility, Renewable Energy, Non-Renewable Energy, Fossil Fuel, Environment, Green Energy, Wind Energy, Fossil Fuels, Eskom, Energy Poverty, Sustainable Energy, Energy SecurityAbstract
There is ample proof that South Africa's ongoing reliance on fossil fuels as its primary source of energy consumption. It has contributed to the release of greenhouse gases that have exacerbated ecosystem disruption causing global warming and climate change. The study investigated and evaluated the effectiveness and feasibility of wind energy as a magic bullet to improve energy security, sustainable energy production, and alleviate energy poverty in South Africa. This is in order to improve sustainable energy generation, energy security, and the elimination of these problems. A thorough literature review of papers published between 2015 and 2022 was done in this study. SWOT analysis method (strengths, weaknesses, opportunities, and threats) is also used in the study. According to the analysis, Eskom's deployment of wind energy at a large scale can enhance South Africa's energy security and sustainably provide power while also lowering the country's present level of energy poverty. The systematic literature review indicates that South Africa, particularly in the Eastern and Western Cape regions, offers significant potential for and capacity for renewable wind energy. In order to incorporate renewable sources into its energy mix and achieve energy sustainability, Eskom should use macro-level strategies that discourage carbon-based energy.
References
Adefarati, T., Papy, N.B., Thopil, M., &Tazvinga, H. 2017. "non-renewable distributed generation technologies: a review, in Handbook of Distributed Generation: Springer. 69-105.
Akinyoade A, Uche C. Dangote cement: the challenges of Pan-African expansion. In: Akinyoade A, Dietz T, Uche CU, editors. Entrep. Africa, 15. African Dy, Leiden: BRILL; 2017
Aliyu, A.K., Modu, B., Tan, C.W. 2018. A review of renewable energy development in Africa: a focus in South Africa, Egypt and Nigeria. Renew Sustain Energy Rev. 81: 2502–18. https://doi.org/10.1016/j.rser.2017.06.055.
Arent D, Arndt C, Miller M, Tarp F, Zinaman O. Introduction and synthesis. In: Arent D, Arndt C, Miller M, Tarp F, Zinaman O, 2017. editors. Polit. econ. clean energy transitions. Oxford: Oxford University Press. p.3–15.
Arndt, C., Davies, R., Makrelov, K., Thurlow, J., 2013. Measuring the Carbon Intensity of the South African Economy. South African Journal of Economics. 81: 393–415. https://doi.org/10.1111/j.1813-6982.2012.01324.x
Bekun, F.V., Emir, F. &Sarkodie, S.A. 2019. Another look at the relationship between energy consumption, carbon dioxide emissions, and economic growth in South Africa, Sci.Total Environ. 655:759–765, https://doi.org/10.1016/j.scitotenv.2018.11.271.
Berrezzek, F., Khelil,K., &Bouadjila, T. 2019. Efficient wind speed forecasting using discrete wavelet transform and artificial neural networks. Revue d’Intelligence Artificielle, 33(6): 447–452.
Boie, I., Kost, C., & Bohn, S. 2016. Opportunities and challenges of high renewable energy deployment and electricity exchange for North Africa and Europe – Scenarios for power sector and transmission infrastructure in 2030 and 2050. Renewable Energy, 87: 130–144.
Bos, K., Chaplin, D., &Mamun, A. 2018. Benefits and challenges of expanding grid electricity in Africa: A review of rigorous evidence on household impacts in developing countries. Energy for Sustainable 139 Development,44: 64–77.
Bracco, F., Delfino, F., Pampararo, F., Robba, M., & Rossi, M. 2015. A dynamic optimization-based architecture for poly generation microgrids with tri-generation, renewables, storage systems and electrical vehicles, Energy Conversion and Management, 96: 511-520.
Chaurasiya, P.K., Warudkar, V., & Ahmed, S. 2019. Wind energy development and policy in India: A review. Energy Strategy Reviews, 24: 342–357.
Cherp A, Vinichenko V, Jewell J, Brutschin E, Sovacool B. 2018. Integrating technology economic, sociotechnical and political perspectives on national energy transitions: a meta-theoretical framework. Energy Res SocSci. 37:175–90. https://doi.org/10.1016/j.erss.2017.09.015.
Cherp A, Vinichenko V, Jewell J, Suzuki M, Antal M. 2017. Comparing electricity transitions: a historical analysis of nuclear, wind and solar power in Germany and Japan. Energy Policy.101:612–28. https://doi.org/10.1016/j.enpol.2016.10. 044.
Dai, K., Bergot, A., Liang, C., Xiang, W.-N., Huang, Z., 2015. Environmental issues associated with wind energy – a review. Renew. Energy 75: 911–921.
Dio´genes, J.R.F., Claro, J., & Rodrigues, J.C. 2020. Barriers to onshore wind energy implementation: A systematic review. Energy Research & Social Science, 60: 101337.
Dorile, P. O. 2021. Grid Strength Assessment Trough Q-V Modal Analysis and Maximum Loadability of a Wind-Dominated Power System Using P-Q Regions.
Dorrell, J. & Lee, K. 2020. The Politics of Wind: A state-level analysis of political party impact on wind energy development in the United States. Energy Research & Social Science, 69: 101602.
Duan, J.; Wang, P.; Ma, W.; Tian, X.; Fang, S.; Cheng, Y.; Chang, Y.; Liu, H. 2021. Short-term wind power forecasting using the hybrid model of improved variational mode decomposition and Correntropy Long Short-term memory neural network. Energy. 214, 118980.
Gebreslassie, M.G. 2020. Public perception and policy implications towards the development of new wind farms in Ethiopia. Energy Policy, 139: 111318. Gomez & Lundquist, 2019
IEA. Energy access outlook 2017: from poverty to prosperity. Paris: International Energy Agency; 2017.
Islam, M.S., & Sangaran, S. 2022. Sustainable Treatment of Emerging Organic Pollutants (Eops), Endocrine Disruption Chemicals (Edcs) from Water & Waste Water and Role of AIU Online Based Distance Learning Education System to Achieve UNESCO 2030 Goals Towards Sustainable Development. European Journal of Applied Sciences, 10(4): 556-569. http://dx.doi.org/10.14738/aivp.104.12805
Isoaho K, Goritz A, Schulz N. 2017. Governing clean energy transitions in China and India. In: Arent D, Arndt C, Miller M, Tarp F, Zinaman O, editors. Polit. econ. clean energy transitions. Oxford: Oxford University Press. p. 231–49.
Izadbakhsh, M., Gandomkar, M., Rezvani, A., & Ahmadi, A. 2015. "Short-term resource scheduling of a renewable energy based micro grid," Renewable Energy, vol. 75, pp. 598-606.
Jacobsson S, Lauber V. 2006. The politics and policy of energy system transformation – explaining the German diffusion of renewable energy technology. Energy Policy. 34:256–76. https://doi.org/10.1016/j.enpol.2004.08.029.
Kisvari, A., Lin, Z., & Liu, X. 2021. Wind power forecasting – A data-driven method along with gated recurrent neural network. Renewable Energy. 163, 1895 - 1909. https://doi.org/10.1016/j.renene.2020.10.119.
Kitchenham, B., & Stuart, C. 2007. “Guidelines for Performing Systematic Literature Reviews in Software Engineering.” In EBSE Technical Report, Software Engineering Group, School of Computer Science and Mathematics, Keele University, Department of Computer Science, University of Durham.
Lintott, P.R., Richardson, S.M., Hosken, D.J., Fensome, S.A., Mathews, F., 2016. Ecological impact assessments fail to reduce risk of bat casualties at wind farms. Current. Biol. 26. R1135–R1136.
Maldonado-Correa, J., Solano, J.C., & Rojas-Moncayo, 2021. Wind power forecasting: A systematic literature review.
Mentis, D., Hermann, S., Howells, M., Welsch, M., & Siyal, S. H. 2015. Assessing the technical 1005 wind energy potential in Africa a GIS-based approach. Renewable Energy, 83, 110–125. 1006 https://doi.org/10.1016/j.renene.2015.03.072.
Merem, E.C., Twumasi, Y., Wesley, J., Olagbegi, D., Crisler, M., Romorno, C., Alsarari, M., Isokpehi, P., Hines, A., Hirse, G., Ochai, G.S., Nwagboso, E., Fageir, S., Leggett, S., Offiah, J. &Emeakpor, S.2022. The Evaluation of Wind Energy Potentials in South Africa. Energy and Power, 12(1): 9-25.
Nazir, M.S., Ali, Z.M., Bilal, M., Sohail, H.M., Iqbal, H.M.N., 2020b. Environmental impacts and risk factors of renewable energy paradigm—a review. Environment. Science. Pollution. Resource. https://doi.org/10.1007/s11356-020-09751-8
Njoh, A.J., Etta, S., &Ngyah-Etchutambe, I.B. 2019. Opportunities and challenges to rural renewable energy projects in Africa: Lessons from the Esaghem Village, Cameroon solar electrification project. Renewable Energy, 131: 1013–1021.
Ortega-Izquierdo, M. & del Rı´o, P. 2020. An analysis of the socioeconomic and environmental benefits of wind energy deployment in Europe. Renewable Energy, 160: 1067–1080.
Ouedraogo, N.S. 2019. Opportunities, barriers and issues with renewable energy development in Africa: A comprehensible review. Current Sustainable/Renewable Energy Reports, 6(2): 52–60.
Presidential Climate Commission, 2021. Nationally Determined Contribution | Presidential Climate Commission. PCC. Available: https://www.climatecommission.org.za/ndc. (accessed 2.3.22).
Pueyo, A. 2018. What constrains renewable energy investment in Sub-Saharan Africa? A comparison of Kenya and Ghana. World Development, 109: 85–100.
Qin, G.; Yan, Q.; Zhu, J.; Xu, C.; &Kammen, D.M. Day-Ahead Wind Power Forecasting Based on Wind Load Data Using Hybrid Optimization Algorithm. Sustainability 2021. 13, 1164. https://doi.org/10.3390/su13031164
Rehmatulla, N., Parker, S., &Smith, T. 2017. Wind technologies: Opportunities and barriers to a low carbon shipping industry. Marine Policy, 75: 217–226.
REN21 Steering Committee. Renewables 2016- global status report. Technical report, REN21, 2016.
Singh, U., Rizwan, M., Malik, H., GarcíaMárquez, F.P. 2022. Wind Energy Scenario, Success and Initiatives towards Renewable Energy in India—A Review. Energies. 15, 2291. https://doi.org/10.3390/en15062291
South African Wind Energy Association (SAWEA), "Stats and Facts SAWEA," 2014. [Online]. Available: http://www.sawea.org.za/index.php/resource-library/useful-information/423-stats-and-facts-sawea. [Accessed October 2022].
Statista, 2022. Africa: CO2 emissions by country. Statista. Available: https://www.statista.com/statistics/1268395/production-based-co2-emissions-in-africa-bycountry/
The European Wind Energy Association. 2016. Wind in power- 2015 European statistics. Technical report.
UN Climate Change Conference UK 2021, 2021. Political Declaration on the Just Energy Transition in South Africa. UN Climate Change Conference (COP26) at the SEC – Glasgow 2021. Available: https://ukcop26.org/political-declaration-on-the-just-energy-transition-in-south-africa/ (accessed 2.3.22).
Wang, S., Wang, S., 2015. Impacts of wind energy on environment: a review. Renew. Sustainable. Energy Review. 49: 437–443.
Yahiaoui, A., Benmansour, K., Tadjine, M. 2016. Control, analysis and optimization of hybrid PV-Diesel-Battery systems for isolated rural city in Algeria, Solar Energy, 137: 1-1.
Yang, M.; Shi, C.; Liu, H. 2021. Day-ahead wind power forecasting based on the clustering of equivalent power curves. Energy 2021. 218, 119515.
Zhang, L., Gari, N., & Hmurcik, L.V. 2014. Energy management in a microgrid with distributed energy resources, Energy Conversion and Management, 78: 297-305.
Zhang, P. 2019. Do energy intensity targets matter for wind energy development? Identifying their heterogeneous effects in Chinese provinces with different wind resources. Renewable Energy,139: 968–975.
Zhang, X., Wang, D., & Liu, Y. 2016. Wind power development in China: An assessment of provincial policies. Sustainability (Switzerland), 8(8): 1–12.
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Copyright (c) 2023 Dr. Victor Chipane Maleka, Dr. Mohammad Shahidul Islam
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