TY - JOUR
T1 - Statistical evaluation of using the new generation of wind turbines in South Africa
AU - Mostafaeipour, Ali
AU - Jahangiri, Mehdi
AU - Haghani, Ahmad
AU - Dehshiri, Seyyed Jalaladdin Hosseini
AU - Dehshiri, Seyyed Shahabaddin Hosseini
AU - Issakhov, Alibek
AU - Sedaghat, Ahmad
AU - Saghaei, Hamed
AU - Akinlabi, Esther T.
AU - Sichilalu, Sam M.
AU - Chowdhury, M. S.
AU - Techato, Kuaanan
N1 - Funding information: The authors would like to thank Faculty of Environmental Management, Prince of Songkla University, Thailand, for their all kind of support.
PY - 2020/11/6
Y1 - 2020/11/6
N2 - 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.
AB - 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.
KW - HOMER
KW - LCOE
KW - Ranking
KW - South Africa
KW - Weighting
KW - Wind turbine
UR - http://www.scopus.com/inward/record.url?scp=85092899467&partnerID=8YFLogxK
U2 - 10.1016/j.egyr.2020.09.035
DO - 10.1016/j.egyr.2020.09.035
M3 - Article
AN - SCOPUS:85092899467
SN - 2352-4847
VL - 6
SP - 2816
EP - 2827
JO - Energy Reports
JF - Energy Reports
ER -