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Wind speed trend analysis and inter-annual variability in South Africa

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dc.contributor.author Chauke, Mamello D
dc.contributor.author Prinsloo, L
dc.contributor.author Pratt, Lawrence E
dc.contributor.author Roro, Kittessa T
dc.date.accessioned 2022-03-07T06:56:32Z
dc.date.available 2022-03-07T06:56:32Z
dc.date.issued 2021-11
dc.identifier.citation Chauke, M.D., Prinsloo, L., Pratt, L.E. & Roro, K.K. 2021. Wind speed trend analysis and inter-annual variability in South Africa. http://hdl.handle.net/10204/12301 . en_ZA
dc.identifier.isbn 978-0-7972-1878-9
dc.identifier.uri http://hdl.handle.net/10204/12301
dc.description.abstract Precise projections of long-term linear wind speed patterns provide a useful predictor of shifts in air circulation. Additionally, they are vital for the planning and financing of sectors such as wind power. Trend analysis and inter-annul variation (IAV) of wind speed were executed to examine longterm wind speed patterns and variations in historical mean wind speed data as an index of climate change in South Africa. The examinations were performed on annual mean wind speed data. The variations and patterns, however, are not the result of one factor. They are the result of the interactions of several climatic elements and variables. Thus, the study of wind speed patterns reveals climatic changes. The data used for the analysis was obtained from Wind Atlas of South Africa’s (WASA) website. WASA collected data since 2010 at 19 metrological stations (WM01-WM19). Trend analysis was performed using the nonparametric Mann-Kendell’s test. The results showed an increasing trend at WM01 and a decreasing trend at WM08. There were no trends at other stations. From the trend analysis results, the magnitude at which wind speed changes per year for the period in investigation varied between 0.003 and 0.111 m/s/year. The lowest change was at WM05, and the highest at WM11. IAV values were calculated by dividing the standard deviation of the annual mean and long-term mean wind speed. IAV values ranged between 1.088% and 3.353%. The industrial standard is 5.4%, but in South Africa it is between 2% and 6% in the study that was conducted in 2019. Stations that had IAV values below 2% are WM03, WM09, WM10, WM14 and WM15, and that implies that the degree at which mean annual wind speed changes at these stations is low. It is recommended that further work be done with long term period (e.g. 20 years). en_US
dc.format Fulltext en_US
dc.language.iso en en_US
dc.relation.uri https://sasec.org.za/documents/SASEC_2021_Conference_Proceedings.pdf en_US
dc.source Southern African Sustainable Energy Conference, Lanzerac, Western Cape, 17-19 November 2021 en_US
dc.subject Wind speed en_US
dc.subject Wind analysis en_US
dc.subject Inter-annual variability en_US
dc.subject Trend analysis en_US
dc.subject Mann-Kendell’s test en_US
dc.title Wind speed trend analysis and inter-annual variability in South Africa en_US
dc.type Conference Presentation en_US
dc.description.pages 8 en_US
dc.description.note Paper presented at the Southern African Sustainable Energy Conference, Lanzerac, Western Cape, 17-19 November 2021 en_US
dc.description.cluster Smart Places en_US
dc.description.impactarea Energy Supply and Demand en_US
dc.identifier.apacitation Chauke, M. D., Prinsloo, L., Pratt, L. E., & Roro, K. K. (2021). Wind speed trend analysis and inter-annual variability in South Africa. http://hdl.handle.net/10204/12301 en_ZA
dc.identifier.chicagocitation Chauke, Mamello D, L Prinsloo, Lawrence E Pratt, and Kittessa K Roro. "Wind speed trend analysis and inter-annual variability in South Africa." <i>Southern African Sustainable Energy Conference, Lanzerac, Western Cape, 17-19 November 2021</i> (2021): http://hdl.handle.net/10204/12301 en_ZA
dc.identifier.vancouvercitation Chauke MD, Prinsloo L, Pratt LE, Roro KK, Wind speed trend analysis and inter-annual variability in South Africa; 2021. http://hdl.handle.net/10204/12301 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Chauke, Mamello D AU - Prinsloo, L AU - Pratt, Lawrence E AU - Roro, Kittessa K AB - Precise projections of long-term linear wind speed patterns provide a useful predictor of shifts in air circulation. Additionally, they are vital for the planning and financing of sectors such as wind power. Trend analysis and inter-annul variation (IAV) of wind speed were executed to examine longterm wind speed patterns and variations in historical mean wind speed data as an index of climate change in South Africa. The examinations were performed on annual mean wind speed data. The variations and patterns, however, are not the result of one factor. They are the result of the interactions of several climatic elements and variables. Thus, the study of wind speed patterns reveals climatic changes. The data used for the analysis was obtained from Wind Atlas of South Africa’s (WASA) website. WASA collected data since 2010 at 19 metrological stations (WM01-WM19). Trend analysis was performed using the nonparametric Mann-Kendell’s test. The results showed an increasing trend at WM01 and a decreasing trend at WM08. There were no trends at other stations. From the trend analysis results, the magnitude at which wind speed changes per year for the period in investigation varied between 0.003 and 0.111 m/s/year. The lowest change was at WM05, and the highest at WM11. IAV values were calculated by dividing the standard deviation of the annual mean and long-term mean wind speed. IAV values ranged between 1.088% and 3.353%. The industrial standard is 5.4%, but in South Africa it is between 2% and 6% in the study that was conducted in 2019. Stations that had IAV values below 2% are WM03, WM09, WM10, WM14 and WM15, and that implies that the degree at which mean annual wind speed changes at these stations is low. It is recommended that further work be done with long term period (e.g. 20 years). DA - 2021-11 DB - ResearchSpace DP - CSIR J1 - Southern African Sustainable Energy Conference, Lanzerac, Western Cape, 17-19 November 2021 KW - Wind speed KW - Wind analysis KW - Inter-annual variability KW - Trend analysis KW - Mann-Kendell’s test LK - https://researchspace.csir.co.za PY - 2021 SM - 978-0-7972-1878-9 T1 - Wind speed trend analysis and inter-annual variability in South Africa TI - Wind speed trend analysis and inter-annual variability in South Africa UR - http://hdl.handle.net/10204/12301 ER - en_ZA
dc.identifier.worklist 25452 en_US


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