کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1752562 1522397 2016 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi-criteria decision support system for wind farm site selection using GIS
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
پیش نمایش صفحه اول مقاله
Multi-criteria decision support system for wind farm site selection using GIS
چکیده انگلیسی


• Wind power can be an economic option for improving economic conditions of western Iran.
• A GIS-based multi-criteria decision support system is used to analysis and estimates wind energy potential.
• The results of this study show that 28% of the province is favorable for the installation of wind farms.

The present study analyzed a multi-criteria decision support system to define wind energy resources in western Iran. Clean domestic renewable energy can be the best option in consideration of intense economic development and its accompanying increase in energy consumption. The most important barrier to wider deployment of renewable resources in Iran is the price of fossil fuels, which is the lowest in the world. The government has recently decided to remove subsidies for fossil fuel, meaning that its price will increase and will make the cost of green energies more attractive.Wind power is an option for improved economic conditions in the region and low environmental impacts. This study applied geographic information system to determine the potential of wind energy in Markazi province in western Iran. The multiple criteria decision making method and site selection criterion for wind resources assessment is explained and developed for the study area. Criteria of equal importance were investigated, including technical, environmental, economic and geographic standards. The results were favorable for electricity production in accordance with international standards from wind in western Iran. The results show that 28% of the study area has capacity for installing large wind farms.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Sustainable Energy Technologies and Assessments - Volume 13, February 2016, Pages 38–50
نویسندگان
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