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Nature-Inspired Approach Using Seasonal Comparison of Wind Speed With Spectral and Statistical Analysis
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Author(s): Tahir Cetin Akinci (Istanbul Technical University, Turkey & University of California, Riverside, USA), Ramazan Caglar (Istanbul Technical University, Turkey), Gokhan Erdemir (Istanbul Sabahhattin Zaim University, Turkey), Aydin Tarik Zengin (Istanbul Sabahattin Zaim University, Turkey)and Serhat Seker (Istanbul Technical University, Turkey)
Copyright: 2022
Pages: 11
Source title:
Applications of Nature-Inspired Computing in Renewable Energy Systems
Source Author(s)/Editor(s): Mohamed Arezki Mellal (M'Hamed Bougara University, Algeria)
DOI: 10.4018/978-1-7998-8561-0.ch002
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Abstract
Seasonal analysis of wind speed includes elements of its evaluation and analysis for wind energy production in complex geographical areas. These analyses require wind energy systems to be set up, integrated, operated, and designed according to seasonal differences. Istanbul wind speed data were collected hourly and analyzed seasonally. When the results of the analysis are examined, no significant increase in seasonal transitions was observed, while certain changes were observed between summer and winter. Here, statistical analysis, Weibull distribution function, and signal processing-based PSD analysis for wind speed is performed. In addition, correlation analysis was made between the seasons. Although significant results were obtained in signal-based analyses, results were obtained for seasonal transitions in correlation analyses. Seasonal spectral densities were calculated in the spectral analysis of wind speed data. This study has important implications in terms of extraction of seasonal characteristics of wind speed, resource assessment, operation, investment, and feasibility.
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