Placement of Wind Farms Based on a Hybrid Multi Criteria Decision Making for Iran

In the current century, energy is become as one of the most critical issues in human's life. Due to global warming, air pollution and the other problems caused by fossil fuels, one of the appropriate sources which is renewable and is invested is wind energy. Iran has a good potential for using wind energy based on its geographical features. Therefore, to have the best productivity for employing wind energy, locating farm winds in a suitable site is a delicate issue. This research applied a hybrid MCDM method for prioritizing potential cities in Iran to install wind farms. In this regard, Step-wise Weight Assessment Ratio Analysis (SWARA) is employed to rank criteria and Weighted Aggregates Sum Product Assessment (WASPAS) applied for evaluating alternatives. In this study 10 cities are detected as high potential places for this aim. Eventually, the most appropriate city is identified as the best place to set up farm winds, and a comprehensive GIS map depicts the results. The results of this research can be used in decision making and planning of energy management in top level of managing requirements of countries in all respects.