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Using Weibull distribution model for wind energy analysis of small-scale power generation at Al-Salt city in Jordan

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Abstract

Recently, low-emission energy models have been rapidly developed in Jordan to cope with population growth and the limited availability of resources. One of the low-emission energy models refers to wind energy as increasingly becoming an essential source of renewable energy. As a result, a thorough examination of long-term wind data of small-scale wind power generating is critical to assess the potentiality of wind energy output in a region. For this purpose, this research presents an assessment of wind energy potentiality in Al-Salt city of Jordan. To understand the wind energy potentiality that is produced from the selected site, two parameters are utilized by the Weibull distribution model. As a result, the shape parameter k and the scale parameter c were utilized to calculate the wind potential and its yearly frequencies. According to the findings, the peak values of k and c in 2016 were 1.65 and 4.4, respectively, where the wind speed repetition is within 1–4 m/s with a probability of 76%. Furthermore, the findings indicated that the scale parameters and typical form were 3.14 and 1.40, respectively, and that there is little change in wind speed and wind potential growth over time as such December has the lowest wind power intensity, while November has the highest. In conclusion, the findings indicated that Al-Salt city has scarce wind resources by international standards. However, it is still an appropriate location for small-scale power generation, according to the current findings.

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Correspondence to Moawiah A. Alnsour.

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Al-Ghriybah, M., Alnsour, M.A. & Al-Hyari, L. Using Weibull distribution model for wind energy analysis of small-scale power generation at Al-Salt city in Jordan. Model. Earth Syst. Environ. 9, 2651–2661 (2023). https://doi.org/10.1007/s40808-022-01643-9

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