journal of sustainable rural development

journal of sustainable rural development

Capacity Measurement of Wind Energy and Sustainability of Rural Settlements (Case Study: Rural Area of Ardestan County in the Center of Iran)

Document Type : Research Paper

Author
Abbas Ali Arvin
Associated professor, Department of Geography, Payame Noor University (PNU), Tehran, Iran.
Abstract
Purpose: Utilization of renewable energies is one of the best possible ways to deal with climate changes on a global scale, air pollution on a local scale, and the sustainable use of energy resources, especially in rural areas.The purpose of this research was to investigate the potential of using wind energy to develop the infrastructure and improve stability of the rural areas of Ardestan County.
Methods: The data of wind speed and direction statistics with a 3-hour period, based on a 12-year statistical period of Ardestan meteorological station, were used in this research. The probability function of Weibull distribution was used to predict and estimate the power of wind turbines.
Results: The results showed that in almost 90% of the year, there was a wind blowing with a speed between 8.8 and 3.6m/s from the south and southwest d in Ardestan. Although the theoretical power of the turbine was higher in March, when there was the highest wind speed, by applying the density coefficient in relation to temperature and altitude, the practical power of the turbine could be higher in the hot months of July and August. According to the annual average wind speed of 5m/s and the nominal wind speed of 9m/s, by applying the wind speed density factor to temperature and altitude, the annual average practical power of the turbine at a height of 50 meters reached 528 kw/h, which could be considered a very high value for the generation of electricity.
Conclusions: Given that the villages of Ardestan County are located in the mountainous region and the prevailing wind blows in this region therefor, install turbines near the villages would be new jobs creation, rural self-sufficiency, a cleaner environment and greater energy independence for rural areas.
Keywords
Wind Direction and Speed
Weibull Probability Function
Rural Areas of Ardestan
Density Coefficient
Wind Turbine
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journal of sustainable rural development
Volume 6, Issue 1 - Serial Number 9
Spring and Summer
Summer 2022
Pages 105-116