Statistical evaluation of using the new generation of wind turbines in South Africa

Ali Mostafaeipour, Mehdi Jahangiri, Ahmad Haghani, Seyyed Jalaladdin Hosseini Dehshiri, Seyyed Shahabaddin Hosseini Dehshiri, Alibek Issakhov, Ahmad Sedaghat, Hamed Saghaei, Esther T. Akinlabi, Sam M. Sichilalu, M. S. Chowdhury, Kuaanan Techato

Research output: Contribution to journalArticlepeer-review

67 Citations (Scopus)

Abstract

In the view of the latest status and the potential of developing wind energy in South Africa, the present study aims to perform technical–economic–environmental​ analysis on a wind turbine system with HOMER software using the 20-years average data of the wind speed obtained from NASA's database, for providing the electricity to residential buildings. The results showed that the Port Elizabeth station, had the lowest levelized cost of electricity (LCOE) with the value of -0.363 $/kWh when using the EOLO wind turbine, and the Bloemfontein station had the highest LCOE with the value of 1.601 $/kWh when using the Turby wind turbine. The results from the step-wise assessment ratio analysis (SWARA) weighting method demonstrated the wind penetration, total production, and capital cost as the most important sub-indices with the weights of 0.106, 0.095, and 0.091, respectively. Using the additive ratio assessment (ARAS), weighted sum method (WSM), and weighted aggregated sum product assessment (WASPAS) techniques, the cities under study were ranked, and the cities of East London and Bloemfontein were identified as the most suitable and the most unsuitable stations for the use of household-scale wind turbines, respectively.

Original languageEnglish
Pages (from-to)2816-2827
Number of pages12
JournalEnergy Reports
Volume6
DOIs
Publication statusPublished - Nov 2020

Keywords

  • HOMER
  • LCOE
  • Ranking
  • South Africa
  • Weighting
  • Wind turbine

ASJC Scopus subject areas

  • General Energy

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