LAPSE:2023.35829
Published Article
LAPSE:2023.35829
Assessment of Wind Speed Statistics in Samaria Region and Potential Energy Production
Sergei Kolesnik, Yossi Rabinovitz, Michael Byalsky, Asher Yahalom, Alon Kuperman
May 24, 2023
Statistical characteristics of the wind speed in the Samaria region of Israel have been analyzed by processing 11 years of wind data provided by the Israeli Meteorological Service, recorded at a 10 m height above the ground. The cumulative mean wind speed at a measurement height was shown to be 4.53 m/s with a standard deviation of 2.32 m/s. The prevailing wind direction was shown to be characterized by a cumulative mean azimuth of 226° with a standard deviation of 79.76°. The results were extrapolated to a 70 m height in order to estimate wind characteristics at the hub height of a medium-scale wind turbine. Moreover, Weibull distribution parameters were calculated annually, monthly, and seasonally, demonstrating a good match with histogram-based statistical representations. The 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 turbine energy yield calculations. The novelty of the current paper is related to gathering wind statistics for a certain area (Samaria), and we are not aware of any published statistics regarding wind velocity and direction in this area. These data may be interesting for potential regional wind energy development in which the obtained Weibull distribution could be used in calculations for the expected power generation of particular turbines with a known power dependence on velocity. We have given an example of these calculations for three different types of turbines and obtained their yield in terms of electric power and economic value. We also point out that the fact that realistic wind velocity statistics can be described well by an analytic formula (Weibull distribution) is not trivial, and in fact, the fit may have been poor.
Keywords
Rayleigh distribution, Weibull distribution, wind statistics assessment
Suggested Citation
Kolesnik S, Rabinovitz Y, Byalsky M, Yahalom A, Kuperman A. Assessment of Wind Speed Statistics in Samaria Region and Potential Energy Production. (2023). LAPSE:2023.35829
Author Affiliations
Kolesnik S: School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer Sheva 84105, Israel; Department of Electrical Engineering and Electronics, Ariel University, Ariel 40700, Israel
Rabinovitz Y: Department of Electrical Engineering and Electronics, Ariel University, Ariel 40700, Israel
Byalsky M: Department of Economics, Hebrew University, Jerusalem 91905, Israel
Yahalom A: Department of Electrical Engineering and Electronics, Ariel University, Ariel 40700, Israel [ORCID]
Kuperman A: School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beer Sheva 84105, Israel; Department of Electrical Engineering and Electronics, Ariel University, Ariel 40700, Israel [ORCID]
Journal Name
Energies
Volume
16
Issue
9
First Page
3892
Year
2023
Publication Date
2023-05-04
Published Version
ISSN
1996-1073
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Original Submission
Other Meta
PII: en16093892, Publication Type: Technical report
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LAPSE:2023.35829
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doi:10.3390/en16093892
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May 24, 2023
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CC BY 4.0
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May 24, 2023
 
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Calvin Tsay
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