Assessment of wind energy potential in Gaza Strip

Juma Yousuf ALAYDI

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PDF(316 KB)
Front. Energy ›› DOI: 10.1007/s11708-010-0134-6
RESEARCH ARTICLE

Assessment of wind energy potential in Gaza Strip

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Abstract

The analysis of collected wind data at two sites in the Gaza Strip, namely, Gaza City and Gaza International Airport in Rafah city, is presented. The two sites are candidates for remote area wind energy applications. The purpose of this paper is to present the results of the assessment of wind energy potential in the Gaza Strip in order to evaluate the wind regimes for installing wind energy conversion systems for power generation. The data on wind speed, direction and frequency distribution are used to analyze wind energy characteristics and availability at some stations in the Gaza Strip. The vertical extrapolation was based on the power-law expression, and the wind energy and potential have been estimated at the wind turbine hub height of approximately 50 m. Furthermore, the values of the Weibull parameters c and k are determined from summary statistics of wind resource. Consequently, the wind power is estimated by adoption of the Weibull distribution expression. Based on the results of this paper, sites are recommended for wind energy exploitation in the Gaza Strip.

Keywords

wind data / wind resource assessment / wind power density / wind energy / the Weibull distribution and Weibull parameters

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Juma Yousuf ALAYDI. Assessment of wind energy potential in Gaza Strip. Front Energ, https://doi.org/10.1007/s11708-010-0134-6

References

[1]
Johnson G L. Wind Energy Systems. Englewood Cliffs, NJ: Prentice Hall Inc, 1985
[2]
Katsoulis B D. A survey on the assessment of wind energy potential in Greece. Theoretical and Applied Climatology, 1993, 47(1): 51-63
CrossRef Google scholar
[3]
WMO. Meteorological aspects of the utilization of wind as an energy source. WMO Technical Note, 175, 1981
[4]
Shabbaneh R, Hassan A. Wind energy potential in Palestine. Renewable Energy, 1997, 11(4): 479-483
CrossRef Google scholar
[5]
Mohandes M, Rehman S, Halawani T O. A neural network approach for wind speed prediction. Renewable Energy, 1998, 13(3): 345-354
CrossRef Google scholar
[6]
Rehman S, Halawani T O. Statistical characteristics of wind in Saudi Arabia. Renewable Energy, 1994, 4(8): 949-956
CrossRef Google scholar
[7]
Poje D, Cividini B. Assessment of wind energy potential in Croatia. Solar Energy, 1988, 41(6): 543-554
CrossRef Google scholar
[8]
Rehman S, Halawani T O, Husain T. Weibull parameters for wind speed distribution in Saudi Arabia. Solar Energy, 1994, 53(6): 473-479
CrossRef Google scholar
[9]
Cheremisinoff N P. Fundamentals of Wind Energy. Ann Arbor, MI: Ann Arbor Science Publisher Inc, 1979
[10]
Ojosu J O, Salawu R I. A survey of wind energy potential in Nigeria. Solar Wind Technol, 1990, 7(2-3): 155-167
CrossRef Google scholar
[11]
Publication N. N43/600 kW technical description document. 2009, http://www.nordex-online.com/_e/produkte_und_service/index.htm1

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