كليدواژه :
BIOMASS , Mountain-valley wind , محاسبه انرژي باد , Renewable energy , توزيع ويبال دوپارامتره , Sea and land breeze , Weibull and Rayleigh distribution , Wind power density
چكيده لاتين :
One of manʹs wishes is to gain access to the unceasing energy resources. Energy from fossil fuels (oil, gas, coal) will finally come to an end. It is generally accepted that the existing energy resources are not sustainable. Phenomena such as global warming cause climate change. Renewable energy technologies can make significant contribution to reducing greenhouse gases emission, acid rain and so on. Because of the massive pollution in the global environment non-polluting forms of energy such as wind are recommended. The burning of fossil fuels is the predominant anthropogenic source of air pollutants worldwide. Carbon dioxide, sulfur and nitrogen oxides threaten not only those in the immediate vicinity, but also the health of the global ecosystem. Renewable energy forms such as solar, wind, wave, geothermal, biomass etc... are used in some places particularly in developed countries. In these countries in general, environmental concerns are the driving force behind the development of renewable energy sources such as wind. While people have been using wind power for thousands of years, it has only been used to produce electricity in the last century. There is a good potential for generating wind powered electricity. There are many windy regions in our country. In this paper, wind power density is calculated by both direct methods and Weibull wind frequency distribution in some meteorological stations in 10 years time (1986-1995). We used hourly wind speed data from some synoptic stations. Researches recently show that Weibull and Rayleigh distributions are the best for calculation of cubic wind speed and have particularly more usage worldwide. So we can determine the best regions in our country for wind energy to produce electrical power. Results show that except Manjil valley, there are some regions which have high potential wind energy in Iran such as Sardasht and Mahshahr. It is very important to determine wind regime and topographical features in every station.
