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

Mostafaeipour, A | 2020

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  1. Type of Document: Article
  2. DOI: 10.1016/j.egyr.2020.09.035
  3. Publisher: Elsevier Ltd , 2020
  4. Abstract:
  5. 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. © 2020 The Author(s)
  6. Keywords:
  7. HOMER ; LCOE ; Ranking ; South Africa ; Weighting ; Wind turbine ; Cost benefit analysis ; NASA ; Scales (weighing instruments) ; Wind ; Wind power ; HOMER softwares ; Levelized cost of electricities ; Residential building ; Statistical evaluation ; Weighted sum method ; Weighting methods ; Wind penetration ; Wind turbine systems ; Wind turbines
  8. Source: Energy Reports ; Volume 6 , November , 2020 , Pages 2816-2827
  9. URL: https://www.sciencedirect.com/science/article/pii/S2352484720313470#!