Research Article
Understanding Wind Speed Fluctuations and Their Effects on Wind Energy Development in Fukuoka, Kyushu, Japan
Issue:
Volume 14, Issue 4, December 2025
Pages:
118-129
Received:
24 August 2025
Accepted:
15 September 2025
Published:
14 October 2025
DOI:
10.11648/j.jenr.20251404.11
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Abstract: This research inspects characteristics of wind speed and corresponding wind power potential in the Fukuoka-shi, located in the Kyushu region of Japan, over the period from 2018 to 2022. By employing the comprehensive statistical approach, the study systematically evaluates time-series wind speed data in order to capture both seasonal variations and long-term trends. Probability density functions are derived to assess the distribution patterns of wind speeds, which serve as the foundation for the estimating the region’s wind energy potential. Two widely recognized statistical models, the Weibull distribution and the Rayleigh distribution, are applied to monthly wind speed data. These models offer reliable and practical tools for the characterizing wind behavior, allowing for the accurate assessment of frequency and intensity of the wind speeds relevant for power generation. The analysis emphasizes variability of wind conditions across different months, underlining how seasonal changes influence the availability of the wind resources. The results approve the suitability of the Weibull and Rayleigh models in predicting wind power potential with the reasonable precision. This research not only contributes valuable insights into the renewable energy prospects of Fukuoka-shi but also provides the evidence-based guidance for policymakers, energy investors, and other stakeholders. Ultimately, the findings highlight the strategic importance of wind energy in advancing the sustainable development and strengthening the region’s renewable energy portfolio.
Abstract: This research inspects characteristics of wind speed and corresponding wind power potential in the Fukuoka-shi, located in the Kyushu region of Japan, over the period from 2018 to 2022. By employing the comprehensive statistical approach, the study systematically evaluates time-series wind speed data in order to capture both seasonal variations and...
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,
Md. Atiqur Rahman
