Volume 21, Issue 63 (12-2021)
jgs 2021, 21(63): 1-18 |
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hedjazizadeh Z, Khosravi A, Hosseini S A, Rahimi A, Karbalaee doree A R. Potential Analysis of Kavir & Desert Region and Makran Coasts In Order To Obtain Energy From the Sun Using Fuzzy Logic and AHP. jgs 2021; 21 (63) : 1
URL: http://jgs.khu.ac.ir/article-1-3070-en.html
URL: http://jgs.khu.ac.ir/article-1-3070-en.html
Zahra Hedjazizadeh1 
, Aras Khosravi2 , Seyed Asaad Hosseini * 3, Alireza Rahimi4 , Ali reza Karbalaee doree5
, Aras Khosravi2 , Seyed Asaad Hosseini * 3, Alireza Rahimi4 , Ali reza Karbalaee doree5
1- Full Professor of Climatology, Kharazmi University, Tehran
2- M A, Faculty of Geography Sciences
3- PhD in Climatology ,hosseini.asad8@gmail.com
4- Associate Professor, university of kashan
5- PhD student in climatology, Kharazmi University, Tehran
2- M A, Faculty of Geography Sciences
3- PhD in Climatology ,
4- Associate Professor, university of kashan
5- PhD student in climatology, Kharazmi University, Tehran
Abstract: (9014 Views)
One of the most important energy sources in the world is solar energy, which is a renewable resource and does not cause any damage to the environment. Which all of these features justify using it as a clean energy source and economically viable cost.. Due to the relatively large area of the Iran in low latitudes and relatively dry climatic conditions, in terms of solar energy utilization it uses excellent conditions. Solar power plants are considered as power generation and transmission networks whose is important that the location features of their construction sites are effective in reducing the risk of investing in solar energy. In this study, using geographic information system and fuzzy valuation method for the criteria and method of weighing (AHP), was considered the potential of the Kavir & desert region and Makran coast for the purpose of obtaining energy from the sun. For this purpose, were used the 14 criteria related to the climatic, infrastructural, and technical and physical conditions of the area. In order to overlap the fuzzy layers were used the usual operators, Gamma, Product and also the Sum Weighted Overlay operator to compare and present the appropriate result. Each of the operators has a different sensitivity to the fuzzy overlap of the layers. For this reason, was considered the Gamma 0.9 operator, due to the high sensitivity for building power plants with high electrical power generation and the Sum Weighted Overlay operator, for the construction of smaller capacity plants. In the overlay map, using the Gamma 0.9 operator, about 2%, and in the overlay map with the weighted operator, about 33% of the study areas were found to be very suitable for the construction of solar power plants.
Article number: 1
Type of Study: Research |
Subject:
climatology
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