Rank-Based Assessment of Grid-Connected Rooftop Solar Panel Deployments Considering Scenarios for a Postponed Installation
Installing solar photovoltaic panels on building rooftops can help property managers generate renewable energy and reduce electricity costs. However, the existence of multiple efficiency indicators and ambiguity in interpreting these metrics limits the comparison of the performance of individual ins...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/21/7335 |
| _version_ | 1797631982891433984 |
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| author | Nima Monghasemi Amir Vadiee Konstantinos Kyprianidis Elaheh Jalilzadehazhari |
| author_facet | Nima Monghasemi Amir Vadiee Konstantinos Kyprianidis Elaheh Jalilzadehazhari |
| author_sort | Nima Monghasemi |
| collection | DOAJ |
| description | Installing solar photovoltaic panels on building rooftops can help property managers generate renewable energy and reduce electricity costs. However, the existence of multiple efficiency indicators and ambiguity in interpreting these metrics limits the comparison of the performance of individual installation projects. This paper presents a methodology using data envelopment analysis to evaluate suitable candidates for rooftop solar panel installation. This approach integrates rooftop area, solar irradiation, temperature, costs, energy yield, and revenue to evaluate the relative efficiency of each building. To demonstrate the methodology, it was applied to rank 22 residential buildings, revealing the top performers for installation in 2022. The approach was subsequently adapted to assess potential outcomes under deferred implementation up to 2030, encompassing a diverse range of climate and pricing scenarios. Five installations were found to be optimal irrespective of the future scenarios. In addition, a super-efficiency approach was applied to overcome the low level of discrimination among the possible installations and to rank each individual unit uniquely. The analysis is designed to guide property owners in identifying favorable solar photovoltaic investments within their portfolios under changing conditions. |
| first_indexed | 2024-03-11T11:30:27Z |
| format | Article |
| id | doaj.art-2476d24be155499eb63e7279672e8a7c |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T11:30:27Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-2476d24be155499eb63e7279672e8a7c2023-11-10T15:02:13ZengMDPI AGEnergies1996-10732023-10-011621733510.3390/en16217335Rank-Based Assessment of Grid-Connected Rooftop Solar Panel Deployments Considering Scenarios for a Postponed InstallationNima Monghasemi0Amir Vadiee1Konstantinos Kyprianidis2Elaheh Jalilzadehazhari3School of Business, Society, and Engineering, Mälardalen University, 72123 Västerås, SwedenSchool of Business, Society, and Engineering, Mälardalen University, 72123 Västerås, SwedenSchool of Business, Society, and Engineering, Mälardalen University, 72123 Västerås, SwedenDivision of Civil Engineering and Built Environment, Department of Civil and Industrial Engineering, Uppsala University, 75104 Uppsala, SwedenInstalling solar photovoltaic panels on building rooftops can help property managers generate renewable energy and reduce electricity costs. However, the existence of multiple efficiency indicators and ambiguity in interpreting these metrics limits the comparison of the performance of individual installation projects. This paper presents a methodology using data envelopment analysis to evaluate suitable candidates for rooftop solar panel installation. This approach integrates rooftop area, solar irradiation, temperature, costs, energy yield, and revenue to evaluate the relative efficiency of each building. To demonstrate the methodology, it was applied to rank 22 residential buildings, revealing the top performers for installation in 2022. The approach was subsequently adapted to assess potential outcomes under deferred implementation up to 2030, encompassing a diverse range of climate and pricing scenarios. Five installations were found to be optimal irrespective of the future scenarios. In addition, a super-efficiency approach was applied to overcome the low level of discrimination among the possible installations and to rank each individual unit uniquely. The analysis is designed to guide property owners in identifying favorable solar photovoltaic investments within their portfolios under changing conditions.https://www.mdpi.com/1996-1073/16/21/7335rooftop solar systemphotovoltaic panelsdata envelopment analysisscenario planning |
| spellingShingle | Nima Monghasemi Amir Vadiee Konstantinos Kyprianidis Elaheh Jalilzadehazhari Rank-Based Assessment of Grid-Connected Rooftop Solar Panel Deployments Considering Scenarios for a Postponed Installation Energies rooftop solar system photovoltaic panels data envelopment analysis scenario planning |
| title | Rank-Based Assessment of Grid-Connected Rooftop Solar Panel Deployments Considering Scenarios for a Postponed Installation |
| title_full | Rank-Based Assessment of Grid-Connected Rooftop Solar Panel Deployments Considering Scenarios for a Postponed Installation |
| title_fullStr | Rank-Based Assessment of Grid-Connected Rooftop Solar Panel Deployments Considering Scenarios for a Postponed Installation |
| title_full_unstemmed | Rank-Based Assessment of Grid-Connected Rooftop Solar Panel Deployments Considering Scenarios for a Postponed Installation |
| title_short | Rank-Based Assessment of Grid-Connected Rooftop Solar Panel Deployments Considering Scenarios for a Postponed Installation |
| title_sort | rank based assessment of grid connected rooftop solar panel deployments considering scenarios for a postponed installation |
| topic | rooftop solar system photovoltaic panels data envelopment analysis scenario planning |
| url | https://www.mdpi.com/1996-1073/16/21/7335 |
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