Abas Hossieniabas.hossieni@ut.ac.ir University of Tehran

Tehran, Iran

I- Introduction Nowadays, renewable energy is playing a significant role in power generation in the world. Renewability and cleaning are important reasons that have caused developing countries to pay more attention to renewable energies. In order to use wind energy, it is mandatory to investigate the site as having preliminary qualification to construct a wind farm. With use of wind data that are recorded at a particular site, it can be shown whether a site is suitable for wind energy development. Several methods and tools have been applied to determine the possibility of electricity production from a selected site. In addition, there are some ways to find out which kind of wind turbine is the best choice for the site satisfying the most potential of energy production and proper installation cost criterion as the selection benchmarks. In this study, one of the western regions of Iran has been chosen for analysis. The studied site has the height of 2142 meters from sea level, which is located nearby Sannadaj-Saqqez cities main road in Kurdistan province. Average of annual wind speed at 10, 30 and 50 meters are 4.25, 5.3 and 5.86 m/s. Moreover, speed data and wind directions are used based on ten-minute intervals in 2007.

Table 1. Classification Table of Wind at the Height of 50 (m)

Figure 2. Weibull distribution of wind speed at height of 50 (m)

In this study, one of the western regions of Iran, Divandareh, has been chosen as the site to be analyzed statistically in order to define if it is suitable for wind turbine installation. Based on the amount of power density which this site can produce, Divandareh is found to be a class 3 wind power site with power density of 336.18 W/m2 at 50 meters height. It has been shown that the site is suitable for wind energy development by installing wind turbines with tall towers. Thereupon, four different commercial wind turbines have been nominated in order for studying. By determination of capacity and availability factors and comparison of these factors among the wind turbines, it is achieved that turbine model “De Wind 48” has the most appropriateness with the selected site.

III. Classification of Wind Energy Potential

II. Statistical Analysis

Wind Energy Potential Assessment In Order to Produce Electrical Energy for Case Study in Divandareh, Iran

Vahid Rasouli Simin Rasouliv.rasouli65@gmail.com

University of IsfahanIsfahan, Iran

smnrasouli@gmail.com University of AgderGrimstad, Norway

Wind class Wind power density (W/m2)1 < 2002 > 200 & < 3003 > 300 & < 4004 > 400 & < 5005 > 500 & < 6006 > 600 & < 8007 > 800 & < 2000

With use of wind data recorded at the site, Divandareh is a site of class 3 at height of 50 meters.

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Weibull Probability Density DistributionThis distribution shows the probability of the different wind speeds.

(1)

Wind Power DensityWind power density is used in order to define the suitability of the site. (2)

Availability FactorIt refers to the time percentage of work hours of the turbine. It depends on wind turbine characteristics and wind potential energy.

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Actual DataWeibull Distribution

IV. Results Wind DirectionFig. 1 shows wind rose plot of Divandareh site. Dominant direction of wind is in the south direction.

Weibull Distribution FunctionWeibull distribution function is shown in Fig. 2.

Determination of Proper Wind TurbineWe have chosen four different types of commercial turbines. Using given information for each turbine and wind data site, the average power, output energy, availability factor and capacity factor can be calculated. Turbine “De Wind 48” is suitable for the site because it has the greatest availability factor.

Figure 1. Wind direction plot

Turbine Model De Wind 48 De Wind D6 De Wind D7 De Wind D8

Average power (kW) 174 315 396 440

Output Energy (MWh) 1532 2761 3469 3852

Availability factor 0.784 0.75 0.727 0.727

Capacity factor 0.29 0.25 0.26 0.22

Table 2. Obtained Quantities of Four Commercial Wind Turbines

V. Conclusion