A Hybrid Multi-Criteria-Decision-Making Aggregation Method and Geographic Information System for Selecting Optimal Solar Power Plants in Iran
Policy-makers should focus on solar energy due to the increasing energy demand and adverse consequences such as global warming. Conflicting criteria influence choosing the most desirable place to construct a Solar Power Plant (SPP). Researchers have popularized multicriteria decision-making (MCDM) m...
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| Format: | Article |
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MDPI AG
2022-04-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/8/2801 |
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| author | Jalil Heidary Dahooie Ali Husseinzadeh Kashan Zahra Shoaei Naeini Amir Salar Vanaki Edmundas Kazimieras Zavadskas Zenonas Turskis |
| author_facet | Jalil Heidary Dahooie Ali Husseinzadeh Kashan Zahra Shoaei Naeini Amir Salar Vanaki Edmundas Kazimieras Zavadskas Zenonas Turskis |
| author_sort | Jalil Heidary Dahooie |
| collection | DOAJ |
| description | Policy-makers should focus on solar energy due to the increasing energy demand and adverse consequences such as global warming. Conflicting criteria influence choosing the most desirable place to construct a Solar Power Plant (SPP). Researchers have popularized multicriteria decision-making (MCDM) methods because of the potential. Although the simultaneous use of several methods increases the robustness and accuracy of the results, existing methods to integrate MCDM methods mainly consider the same weight for all methods and utilize the alternatives ranking for the final comparison. This paper presents a hybrid decision-making framework to determine the best location for SPPs in Iran using a set of criteria extracted from the literature and expert opinions. An initial list of decision-making alternatives is prepared and evaluated using GIS software in terms of criteria. Decision-makers prioritized the identified alternatives using the MCDM methods, including SWARA and different ranking methods (TOPSIS, TODIM, WASPAS, COPRAS, ARAS, and MULTIMOORA). Finally, the CCSD method aggregates the results and identifies the best location. Results highly correlate with the results of previous methods and demonstrate the robustness of the proposed approach and its capability to overcome the limitations of previous methods. |
| first_indexed | 2024-03-09T10:38:39Z |
| format | Article |
| id | doaj.art-5ca8bb5da8d84a74811de20e0906d9bc |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T10:38:39Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-5ca8bb5da8d84a74811de20e0906d9bc2023-12-01T20:48:43ZengMDPI AGEnergies1996-10732022-04-01158280110.3390/en15082801A Hybrid Multi-Criteria-Decision-Making Aggregation Method and Geographic Information System for Selecting Optimal Solar Power Plants in IranJalil Heidary Dahooie0Ali Husseinzadeh Kashan1Zahra Shoaei Naeini2Amir Salar Vanaki3Edmundas Kazimieras Zavadskas4Zenonas Turskis5Faculty of Management, University of Tehran, Jalal Al-e-Ahmad, Nasr Bridge, Tehran 14155-6311, IranFaculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran 14115-138, IranFaculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran 14115-138, IranFaculty of Management, University of Tehran, Jalal Al-e-Ahmad, Nasr Bridge, Tehran 14155-6311, IranInstitute of Sustainable Construction, Faculty of Civil Engineering, Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223 Vilnius, LithuaniaInstitute of Sustainable Construction, Faculty of Civil Engineering, Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223 Vilnius, LithuaniaPolicy-makers should focus on solar energy due to the increasing energy demand and adverse consequences such as global warming. Conflicting criteria influence choosing the most desirable place to construct a Solar Power Plant (SPP). Researchers have popularized multicriteria decision-making (MCDM) methods because of the potential. Although the simultaneous use of several methods increases the robustness and accuracy of the results, existing methods to integrate MCDM methods mainly consider the same weight for all methods and utilize the alternatives ranking for the final comparison. This paper presents a hybrid decision-making framework to determine the best location for SPPs in Iran using a set of criteria extracted from the literature and expert opinions. An initial list of decision-making alternatives is prepared and evaluated using GIS software in terms of criteria. Decision-makers prioritized the identified alternatives using the MCDM methods, including SWARA and different ranking methods (TOPSIS, TODIM, WASPAS, COPRAS, ARAS, and MULTIMOORA). Finally, the CCSD method aggregates the results and identifies the best location. Results highly correlate with the results of previous methods and demonstrate the robustness of the proposed approach and its capability to overcome the limitations of previous methods.https://www.mdpi.com/1996-1073/15/8/2801solar energypower plant locationmulticriteria decision-makingMCDMaggregation method |
| spellingShingle | Jalil Heidary Dahooie Ali Husseinzadeh Kashan Zahra Shoaei Naeini Amir Salar Vanaki Edmundas Kazimieras Zavadskas Zenonas Turskis A Hybrid Multi-Criteria-Decision-Making Aggregation Method and Geographic Information System for Selecting Optimal Solar Power Plants in Iran Energies solar energy power plant location multicriteria decision-making MCDM aggregation method |
| title | A Hybrid Multi-Criteria-Decision-Making Aggregation Method and Geographic Information System for Selecting Optimal Solar Power Plants in Iran |
| title_full | A Hybrid Multi-Criteria-Decision-Making Aggregation Method and Geographic Information System for Selecting Optimal Solar Power Plants in Iran |
| title_fullStr | A Hybrid Multi-Criteria-Decision-Making Aggregation Method and Geographic Information System for Selecting Optimal Solar Power Plants in Iran |
| title_full_unstemmed | A Hybrid Multi-Criteria-Decision-Making Aggregation Method and Geographic Information System for Selecting Optimal Solar Power Plants in Iran |
| title_short | A Hybrid Multi-Criteria-Decision-Making Aggregation Method and Geographic Information System for Selecting Optimal Solar Power Plants in Iran |
| title_sort | hybrid multi criteria decision making aggregation method and geographic information system for selecting optimal solar power plants in iran |
| topic | solar energy power plant location multicriteria decision-making MCDM aggregation method |
| url | https://www.mdpi.com/1996-1073/15/8/2801 |
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