Regional assessment of Iran's potential for Solar Farms by TOPSIS, Fuzzy TOPSIS and Sugeno-type Fuzzy Inference Methods
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. One of the most salient characteristic of renewable energy with regard to its conversion and usage is its dependency on geographical location as well as...
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University of Tabriz
2017-05-01
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Series: | نشریه جغرافیا و برنامهریزی |
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Online Access: | https://geoplanning.tabrizu.ac.ir/article_6163_ed789ef25389048dfe296758f7f50d1f.pdf |
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author | Navid Houshangi Ali asghar Allsheikh |
author_facet | Navid Houshangi Ali asghar Allsheikh |
author_sort | Navid Houshangi |
collection | DOAJ |
description | 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. One of the most salient characteristic of renewable energy with regard to its conversion and usage is its dependency on geographical location as well as numerous contradicting factors. A suitable site for solar farm must fulfill a series of economic, conservational, climatic, geographic and demographic considerations simultaneously. This research uses multi-criteria decision making (MCDM), fuzzy principles and GIS tools to evaluate the optimized place of photovoltaic solar power plants in Iran. To achieve this objective, three approaches are considered, namely: TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), Sugeno-type Fuzzy inference system and fuzzy TOPSIS. After obtaining experts’ opinions, site selection steps have been taken in two main steps: first, the deduction of impossible points (constrained); second, the calculation of location’s potential using raster analysis. The comparison of the above methods showed that Fuzzy TOPSIS؛ from the perspective of continuity and involving elements؛ had better performance. TOPSIS Method 14.71% and fuzzy TOPSIS 18.33% and Sugeno 20.52% of the total area are considered as suitable area for the construction of solar power plants. All three methods had similar results. The priority of country’s sections for locating solar farm locations are estimated as, Narimanshir, Nobandegan, Farajhiand, Bahmanpour, Shibkoh and Gavbandi through all methods with subtle variations. |
first_indexed | 2024-04-24T22:29:03Z |
format | Article |
id | doaj.art-176922510cc84f0f9fef0a8a4b2b7d71 |
institution | Directory Open Access Journal |
issn | 2008-8078 2717-3534 |
language | fas |
last_indexed | 2024-04-24T22:29:03Z |
publishDate | 2017-05-01 |
publisher | University of Tabriz |
record_format | Article |
series | نشریه جغرافیا و برنامهریزی |
spelling | doaj.art-176922510cc84f0f9fef0a8a4b2b7d712024-03-19T21:57:15ZfasUniversity of Tabrizنشریه جغرافیا و برنامهریزی2008-80782717-35342017-05-012159303327216163Regional assessment of Iran's potential for Solar Farms by TOPSIS, Fuzzy TOPSIS and Sugeno-type Fuzzy Inference MethodsNavid Houshangi0Ali asghar Allsheikh1Daneshgah SAnati Tehran Keshvar Iran Share TehranDaneshgah Sanati Tehran KeshvarIran SHare TehranIran is located on the world’s Sun Belt; therefore the required energy of many parts of the country can be generated through photovoltaic systems. One of the most salient characteristic of renewable energy with regard to its conversion and usage is its dependency on geographical location as well as numerous contradicting factors. A suitable site for solar farm must fulfill a series of economic, conservational, climatic, geographic and demographic considerations simultaneously. This research uses multi-criteria decision making (MCDM), fuzzy principles and GIS tools to evaluate the optimized place of photovoltaic solar power plants in Iran. To achieve this objective, three approaches are considered, namely: TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), Sugeno-type Fuzzy inference system and fuzzy TOPSIS. After obtaining experts’ opinions, site selection steps have been taken in two main steps: first, the deduction of impossible points (constrained); second, the calculation of location’s potential using raster analysis. The comparison of the above methods showed that Fuzzy TOPSIS؛ from the perspective of continuity and involving elements؛ had better performance. TOPSIS Method 14.71% and fuzzy TOPSIS 18.33% and Sugeno 20.52% of the total area are considered as suitable area for the construction of solar power plants. All three methods had similar results. The priority of country’s sections for locating solar farm locations are estimated as, Narimanshir, Nobandegan, Farajhiand, Bahmanpour, Shibkoh and Gavbandi through all methods with subtle variations.https://geoplanning.tabrizu.ac.ir/article_6163_ed789ef25389048dfe296758f7f50d1f.pdfsite selectionsolar energy framstopsisfuzzy topsissugeno-type fuzzy |
spellingShingle | Navid Houshangi Ali asghar Allsheikh Regional assessment of Iran's potential for Solar Farms by TOPSIS, Fuzzy TOPSIS and Sugeno-type Fuzzy Inference Methods نشریه جغرافیا و برنامهریزی site selection solar energy frams topsis fuzzy topsis sugeno-type fuzzy |
title | Regional assessment of Iran's potential for Solar Farms by TOPSIS, Fuzzy TOPSIS and Sugeno-type Fuzzy Inference Methods |
title_full | Regional assessment of Iran's potential for Solar Farms by TOPSIS, Fuzzy TOPSIS and Sugeno-type Fuzzy Inference Methods |
title_fullStr | Regional assessment of Iran's potential for Solar Farms by TOPSIS, Fuzzy TOPSIS and Sugeno-type Fuzzy Inference Methods |
title_full_unstemmed | Regional assessment of Iran's potential for Solar Farms by TOPSIS, Fuzzy TOPSIS and Sugeno-type Fuzzy Inference Methods |
title_short | Regional assessment of Iran's potential for Solar Farms by TOPSIS, Fuzzy TOPSIS and Sugeno-type Fuzzy Inference Methods |
title_sort | regional assessment of iran s potential for solar farms by topsis fuzzy topsis and sugeno type fuzzy inference methods |
topic | site selection solar energy frams topsis fuzzy topsis sugeno-type fuzzy |
url | https://geoplanning.tabrizu.ac.ir/article_6163_ed789ef25389048dfe296758f7f50d1f.pdf |
work_keys_str_mv | AT navidhoushangi regionalassessmentofiranspotentialforsolarfarmsbytopsisfuzzytopsisandsugenotypefuzzyinferencemethods AT aliasgharallsheikh regionalassessmentofiranspotentialforsolarfarmsbytopsisfuzzytopsisandsugenotypefuzzyinferencemethods |