نوع مقاله : مقاله علمی پژوهشی

301

چکیده

Iran is located on the world’s Sun Belt; therefore the required energy of many parts of the country can be generated through photovoltaic systems. Nowadays, with the increasing growth of energy consumption, the tendency to use renewable energy and specifically solar powers is rising. Within 2000 to 2007, world energy production increased 10.3 percent per capita (Department of Energy, Iran).This consumption increase in 2030 reaches over 48% and even 60%  in 2000. However, disadvantages of fossil energy led international community to use new types of renewable energy. Among the renewable energy forms, solar energy tends to be the cleanest energy and considering potentials of the selected sites, is can be deemed economical, as well.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Regional Assessment of Iran's Potential for Solar Farms by TOPSIS, Fuzzy‌ TOPSIS and Sugeno-type Fuzzy Inference Methods

چکیده [English]

Iran is located on the world’s Sun Belt; therefore the required energy of many parts of the country can be generated through photovoltaic systems. Nowadays, with the increasing growth of energy consumption, the tendency to use renewable energy and specifically solar powers is rising. Within 2000 to 2007, world energy production increased 10.3 percent per capita (Department of Energy, Iran).This consumption increase in 2030 reaches over 48% and even 60%  in 2000. However, disadvantages of fossil energy led international community to use new types of renewable energy. Among the renewable energy forms, solar energy tends to be the cleanest energy and considering potentials of the selected sites, is can be deemed economical, as well.

کلیدواژه‌ها [English]

  • Site selection
  • Solar Energy Frams
  • TOPSIS
  • Fuzzy TOPSIS
  • Sugeno-type Fuzzy
Sánchez-Lozano, J.M., J. Teruel-Solano, P.L. Soto-Elvira & M. Socorro García-Cascales, (2013), "Geographical Information Systems (GIS) and Multi-Criteria Decision Making (MCDM) methods for the evaluation of solar farms locations: Case study in south-eastern Spain", Renewable and Sustainable Energy Reviews, No. 24, PP. 544-556.
-Solangi, K.H., M.R. Islam, R. Saidur, N.A. Rahim & H. Fayaz, (2011), “A review on global solar energy policy”, Renewable and Sustainable Energy Reviews, No. 15(4), PP. 2149-2163.
-Sun, Y.-w., A. Hof, R. Wang, J. Liu, Y.-j. Lin & D.-w. Yang, (2013), “GIS-based approach for potential analysis of solar PV generation at the regional scale: A case study of Fujian Province”, Energy Policy, No. 58, PP. 248-259.
-Tabik, S., A. Villegas, E.L. Zapata & L.F. Romero, (2012), “A Fast GIS-tool to Compute the Maximum Solar Energy on Very Large Terrains”, Procedia Computer Science, No. 9(0), PP. 364-372.
-Tian, J., D. Yu, B. Yu & S. Ma, (2013), “A fuzzy TOPSIS model via chi-square test for information source selection”, Knowledge-Based Systems, No. 37, PP. 515-527.
-Tiba, C., A.L.B. Candeias, N. Fraidenraich, E.M.d.S. Barbosa, P.B. de Carvalho Neto & J.B. de Melo Filho, (2010), “A GIS-based decision support tool for renewable energy management and planning in semi-arid rural environments of northeast of Brazil”, Renewable Energy, No. 35(12), PP. 2921-2932.
-Tsoutsos, T., N. Frantzeskaki & V. Gekas, (2005), “Environmental impacts from the solar energy technologie”, Energy Policy, No. 33(3), PP. 289-296.
-Yun-na, W., Y. Yi-sheng, F. Tian-tian, K. Li-na, L. Wei & F. Luo-jie, (2013), “Macro-site selection of wind/solar hybrid power station based on Ideal Matter-Element Model”, International Journal of Electrical Power & Energy Systems, No. 50, PP. 76-84.
-Zohoori, M., (2012), “Exploiting Renewable Energy Sources in Iran”, Interdisciplinary Journal of Contemporary Research in Business, No. 4(7), PP. 849-862.