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The wind farm development is very slow in the developing countries particularly in the Middle East. This is attributed to many factors including economy of these countries which is mainly rely on fossil fuels and hence yields to low cost of energy, political and technological barriers, lack of wind potential studies or lack of high wind regions and more. This paper attempts to address these issues and foresees opportunities for developing household or small communities wind farms which can be rely on individual or small communities’ funds as well as creating job opportunities for them. As the case study, the province of Sistan-Baluchestan in Iran is considered to study how the economy of local communities or households can be strengthen by exploring small wind turbine developments for them. An economic and statistical analysis is conducted based on wind data for cities of Chabahar, Dehak, and Dalgan in the province. Wind energy characteristics and patterns are extensively explored for these cities from 473,040 wind data samples. This is resulted in the average annual wind power density of 181 W / m 2 , 158 W / m 2 , and 146 W / m 2 , for Chabahar, Dalgan, and Dehak, respectively at the height of 40 m. By considering five different commercial wind turbines, from 1.6 to 30 kW capacities, the total annual electrical power production, profits and payback time for each wind turbine is presented. It is concluded that nearly 90,000 households can benefit from profit of annual energy production of 225 GWh. [ABSTRACT FROM AUTHOR]

Abstract: In this study, the measured wind speed data for year 2007 at 10m, 30m and 40m heights for two provinces of Iran, North and South Khorasan, have been statistically analyzed to determine the potential of wind power generation. This paper presents the wind energy potential at four zones in these provinces, Bojnourd, Esfarayen of North Khorasan province and Nehbandan, and Fadashk of South Khorasan province. The objective is to evaluate the most important characteristic of wind energy in the studied sites. The statistical attitudes permit us to estimate the mean wind speed, the wind speed distribution function, the mean wind power density in the sites at the height of 10m, 30m and 40m. Also, three new types of wind rose diagrams were shown. [Copyright &y& Elsevier]

Abstract: Climate change, global warming, and the recent worldwide economic crisis have emphasized the need for low carbon emissions while also ensuring economic feasibility. In this paper, the status and wind power potential of the city of Shahrbabak in Kerman province in Iran was investigated. The technical and economical feasibility of wind turbine installation is presented. The potential of wind power generation was statistically analyzed. The mean wind speed data of three-hour interval long term period from 1997 to 2005 was adopted and analyzed in order to determine the potential of wind power generation. The numerical values of the dimensionless Weibull shape parameter (k) and Weibull scale parameter (c) were determined. Annual values of “k” ranged from 1.725 to 1.930 with a mean value of 1.504, while annual values of “c” were in the range of 4.848–6.095 with a mean value of 5.314 (m/s). With the average wind power density of 100W/m2, it is found that the city is not an appropriate place for construction of large-scale wind power plants, but is suitable for employment of off-grid electrical and mechanical wind driven systems. An economic evaluation was done in order to show feasibility of installing small wind turbines. It was concluded that it costs 18 cents for 1kWh which is 5 cents more than the market price. Each turbine of 10kW can supply power for icebox, washer, water pump, TV, lighting, electrical fan, charger, and air conditioning units for small houses. In order to utilize wind energy in the region, it is recommended to install small size wind turbines for electricity supply of public and public buildings and private houses. [Copyright &y& Elsevier]

Abstract: In this study, the 3-h period measured wind speed data for years 2003–2007 at 10m, 30m and 40m heights for one of the provinces of Iran. Semnan have been statistically analyzed to determine the potential of wind power generation. This paper presents the wind energy potential at five towns in the province – Biarjmand, Damghan, Garmsar, Semnan, and Shahrood. Extrapolation of the 10m data, using the Power Law, has been used to determine the wind data at heights of 30m and 40m. From the primary evaluation and determining mean wind speed and also weibull distribution, it is found that Damghan has better potential for using wind energy in the province. Thus concentrated on Damghan town and its sites – Moalleman, Haddadeh and also Kahak of Garmsar (only had Meteorological stop) using a 10-min time step wind speed and wind direction data for three measured heights. Between these sites, Moalleman is selected for a more accurate and spacious analysis. The objective is to evaluate the most important characteristic of wind energy in the studied site. The statistical attitudes permit us to estimate the mean wind speed, the wind speed distribution function, the mean wind power density and the wind rose in the site at the height of 10m, 30m and 40m. Some local phenomena are also considered in the characterization of the site. [Copyright &y& Elsevier]