Map Optimization Fuzzy Logic Framework in Wind Turbine Site Selection with Application to the USA Wind Farms

Gorg Abdelmassih, Mohammed Al-Numay and Abdelali El Aroudi
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Gorg Abdelmassih: Department of Civil Engineering and Engineering Mechanics, Columbia University, New York, NY 10027, USA
Mohammed Al-Numay: Electrical Engineering Department, King Saud University, Riyadh 11421, Saudi Arabia
Abdelali El Aroudi: Department of Electronics and Electrical Engineering and Automatic Control, Universitat Rovira i Virgili, 43007 Tarragona, Spain

Energies, 2021, vol. 14, issue 19, 1-15

Abstract: In this study, we analyze observational and predicted wind energy datasets of the lower 48 states of the United States, and we intend to predict an optimal map for new turbines placement. Several approaches have been implemented to investigate the correlation between current wind power stations, power capacity, wind seasonality, and site selection. The correlation between stations is carried out according to Pearson correlation coefficient approach joined with the spherical law of cosines to calculate the distances. The high correlation values between the stations spaced within a distance of 100 km show that installing more turbines close to the current farms would assist the electrical grid. The total power capacity indicates that the current wind turbines are utilizing approximately 70% of the wind resources available in the turbine’s sites. The Power spectrum of Fourier’s spectral density indicates main, secondary, and harmonic frequencies correspond to yearly, semiyearly, and daily wind-speed periodic patterns. We propose and validate a numerical approach based on a novel fuzzy logic framework for wind turbines placement. Map optimizations are fitted considering different parameters presented in wind speed, land use, price, and elevation. Map optimization results show that suitable sites for turbines placement are in general agreement with the direction of the correlation approach.

Keywords: renewable energy; wind turbines; fuzzy logic; correlation; wind seasonality; power capacity; map optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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