Site Selection for Constructing Solar and Wind Plants Using Meteorological Parameters in Iran

Abstract

Due to the increasing environmental pollutions and reducing fossil energy sources, using new energy in the world is of utmost importance including the solar and wind energy that used in the world. In this context and to identify areas with high potential for solar and wind plants in Semnan province, the average relative humidity data, the number of days with thunderstorms, number of days with dust, the number of cloudy days, horizontal visibility below 2,000 meters, sunshine hours and average wind speed in a 20-year period for five synoptic stations in the province was used. After the analysis made on the province's meteorological parameters, point data was changed into the zone by Arc GIS software. To achieve this goal first of multiple regression methods were used and the correlation between latitude and altitude parameters obtained. Results showed that in most cases, the correlation coefficient was more than 0.9 and determination coefficient was more than 0.8 in most cases. Studies showed that lowland areas of the province have enormous potential and highlands has less potential for constructing solar and wind power plants.