A CRITIC–TOPSIS Multi-Criteria Decision-Making Approach for Optimum Site Selection for Solar PV Farm
This research work proposes a new hybrid framework to assess suitable sites and technical potentials for large-scale solar photovoltaic (PV) systems by integrating two multi-criteria decision-making (MCDM) techniques. The evaluation of sites for PV plants was performed using the MCDM method, taking...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/10/4245 |
| _version_ | 1797600240110403584 |
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| author | Imad Hassan Ibrahim Alhamrouni Nurul Hanis Azhan |
| author_facet | Imad Hassan Ibrahim Alhamrouni Nurul Hanis Azhan |
| author_sort | Imad Hassan |
| collection | DOAJ |
| description | This research work proposes a new hybrid framework to assess suitable sites and technical potentials for large-scale solar photovoltaic (PV) systems by integrating two multi-criteria decision-making (MCDM) techniques. The evaluation of sites for PV plants was performed using the MCDM method, taking into account a wide range of variables, including climate, technical, geographical, and economic variables, with factor weights determined using the CRITIC technique. Five Saudi Arabian cities with abundant solar radiation served as illustrations of this study’s framework. For classification, the TOPSIS method was employed to rank the five alternatives. The results show that Riyadh is ranked first with a performance score of 72%, followed by Jeddah with a performance score of 65%, and the remaining three cities, namely, Al Ahsa, Dammam, and Abha scored less than 50%. Lastly, the reliability and robustness of the results obtained were examined using sensitivity analysis. The findings of this study can be used to pinpoint possible places that could be used to build solar power plants and to promote the expansion of generating facilities and electrical grids. |
| first_indexed | 2024-03-11T03:45:41Z |
| format | Article |
| id | doaj.art-5dff294d1470472c9fec9f73b3936f8f |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T03:45:41Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-5dff294d1470472c9fec9f73b3936f8f2023-11-18T01:15:05ZengMDPI AGEnergies1996-10732023-05-011610424510.3390/en16104245A CRITIC–TOPSIS Multi-Criteria Decision-Making Approach for Optimum Site Selection for Solar PV FarmImad Hassan0Ibrahim Alhamrouni1Nurul Hanis Azhan2Renewable Energy Research Laboratory (RENERAL), Electrical Engineering Section, British Malaysian Institute, Universiti Kuala Lumpur, Selangor 53100, MalaysiaRenewable Energy Research Laboratory (RENERAL), Electrical Engineering Section, British Malaysian Institute, Universiti Kuala Lumpur, Selangor 53100, MalaysiaRenewable Energy Research Laboratory (RENERAL), Electrical Engineering Section, British Malaysian Institute, Universiti Kuala Lumpur, Selangor 53100, MalaysiaThis research work proposes a new hybrid framework to assess suitable sites and technical potentials for large-scale solar photovoltaic (PV) systems by integrating two multi-criteria decision-making (MCDM) techniques. The evaluation of sites for PV plants was performed using the MCDM method, taking into account a wide range of variables, including climate, technical, geographical, and economic variables, with factor weights determined using the CRITIC technique. Five Saudi Arabian cities with abundant solar radiation served as illustrations of this study’s framework. For classification, the TOPSIS method was employed to rank the five alternatives. The results show that Riyadh is ranked first with a performance score of 72%, followed by Jeddah with a performance score of 65%, and the remaining three cities, namely, Al Ahsa, Dammam, and Abha scored less than 50%. Lastly, the reliability and robustness of the results obtained were examined using sensitivity analysis. The findings of this study can be used to pinpoint possible places that could be used to build solar power plants and to promote the expansion of generating facilities and electrical grids.https://www.mdpi.com/1996-1073/16/10/4245PV systemmulti-criteria decision makingCRITICTOPSISsustainable cities |
| spellingShingle | Imad Hassan Ibrahim Alhamrouni Nurul Hanis Azhan A CRITIC–TOPSIS Multi-Criteria Decision-Making Approach for Optimum Site Selection for Solar PV Farm Energies PV system multi-criteria decision making CRITIC TOPSIS sustainable cities |
| title | A CRITIC–TOPSIS Multi-Criteria Decision-Making Approach for Optimum Site Selection for Solar PV Farm |
| title_full | A CRITIC–TOPSIS Multi-Criteria Decision-Making Approach for Optimum Site Selection for Solar PV Farm |
| title_fullStr | A CRITIC–TOPSIS Multi-Criteria Decision-Making Approach for Optimum Site Selection for Solar PV Farm |
| title_full_unstemmed | A CRITIC–TOPSIS Multi-Criteria Decision-Making Approach for Optimum Site Selection for Solar PV Farm |
| title_short | A CRITIC–TOPSIS Multi-Criteria Decision-Making Approach for Optimum Site Selection for Solar PV Farm |
| title_sort | critic topsis multi criteria decision making approach for optimum site selection for solar pv farm |
| topic | PV system multi-criteria decision making CRITIC TOPSIS sustainable cities |
| url | https://www.mdpi.com/1996-1073/16/10/4245 |
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