Kolesnik, S.; Rabinovitz, Y.; Byalsky, M.; Yahalom, A.; Kuperman, A. Assessment of Wind Speed Statistics in Samaria Region and Potential Energy Production. Energies2023, 16, 3892.
Kolesnik, S.; Rabinovitz, Y.; Byalsky, M.; Yahalom, A.; Kuperman, A. Assessment of Wind Speed Statistics in Samaria Region and Potential Energy Production. Energies 2023, 16, 3892.
Kolesnik, S.; Rabinovitz, Y.; Byalsky, M.; Yahalom, A.; Kuperman, A. Assessment of Wind Speed Statistics in Samaria Region and Potential Energy Production. Energies2023, 16, 3892.
Kolesnik, S.; Rabinovitz, Y.; Byalsky, M.; Yahalom, A.; Kuperman, A. Assessment of Wind Speed Statistics in Samaria Region and Potential Energy Production. Energies 2023, 16, 3892.
Abstract
SStatistical characteristics of the wind speed in Samaria region of Israel have been analyzed by processing 11 years of wind data provided by the Israeli Meteorological Service, recorded at 10 m height above the ground. The cumulative mean wind speed at measurement height was shown to be 4.53 m/s with standard deviation of 2.32 m/s. Prevailing wind direction is shown to be char-acterized by cumulative mean azimuth of 226° with standard deviation of 79.76°. The results were extrapolated to 70-meter height in order to estimate wind characteristics at hub height of a me-dium-scale wind turbine. Moreover, Weibull distribution parameters were calculated annually, monthly and seasonally, demonstrating a good match with histogram-based statistical repre-sentations. Shape parameter of the Weibull distribution was shown to reside within a narrow range of 1.93 to 2.15, allowing us to assume a Rayleigh distribution, thus simplifying wind tur-bines energy yield calculations. The novelty of the current paper is related to gathering wind statistics for a certain area (Samaria) we are not aware of any published statistics regarding wind velocity and direction in this area. The data may be interesting for potential regional wind energy development in which the obtained Weibull distribution can be used in calculations of expected power generation of particular turbines with known power dependence on velocity. We also point out that the fact that realistic wind velocity statistics is well described by an analytic formula (Weibull distribution) is not trivial, and in fact the fit may have been poor.
Copyright:
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