Enhanced Solar Photovoltaic System Management and Integration: The Digital Twin Concept
The rapid acceptance of solar photovoltaic (PV) energy across various countries has created a pressing need for more coordinated approaches to the sustainable monitoring and maintenance of these widely distributed installations. To address this challenge, several digitization architectures have been...
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| Format: | Article |
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MDPI AG
2025-03-01
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| Series: | Solar |
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| Online Access: | https://www.mdpi.com/2673-9941/5/1/7 |
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| author | Olufemi Olayiwola Umit Cali Miles Elsden Poonam Yadav |
| author_facet | Olufemi Olayiwola Umit Cali Miles Elsden Poonam Yadav |
| author_sort | Olufemi Olayiwola |
| collection | DOAJ |
| description | The rapid acceptance of solar photovoltaic (PV) energy across various countries has created a pressing need for more coordinated approaches to the sustainable monitoring and maintenance of these widely distributed installations. To address this challenge, several digitization architectures have been proposed, with one of the most recently applied being the digital twin (DT) system architecture. DTs have proven effective in predictive maintenance, rapid prototyping, efficient manufacturing, and reliable system monitoring. However, while the DT concept is well established in fields like wind energy conversion and monitoring, its scope of implementation in PV remains quite limited. Additionally, the recent increased adoption of autonomous platforms, particularly robotics, has expanded the scope of PV management and revealed gaps in real-time monitoring needs. DT platforms can be redesigned to ease such applications and enable integration into the broader energy network. This work provides a system-level overview of current trends, challenges, and future opportunities for DTs within renewable energy systems, focusing on PV systems. It also highlights how advances in artificial intelligence (AI), the internet-of-Things (IoT), and autonomous systems can be leveraged to create a digitally connected energy infrastructure that supports sustainable energy supply and maintenance. |
| format | Article |
| id | doaj-art-f9a37dee814f4e129042293e043fcb7f |
| institution | DOAJ |
| issn | 2673-9941 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Solar |
| spelling | doaj-art-f9a37dee814f4e129042293e043fcb7f2025-08-20T02:43:03ZengMDPI AGSolar2673-99412025-03-0151710.3390/solar5010007Enhanced Solar Photovoltaic System Management and Integration: The Digital Twin ConceptOlufemi Olayiwola0Umit Cali1Miles Elsden2Poonam Yadav3Institute for Safe Autonomy, University of York, York YO10 5DD, UKSchool of Physics, Engineering and Technology, University of York, York YO10 5DD, UKInstitute for Safe Autonomy, University of York, York YO10 5DD, UKInstitute for Safe Autonomy, University of York, York YO10 5DD, UKThe rapid acceptance of solar photovoltaic (PV) energy across various countries has created a pressing need for more coordinated approaches to the sustainable monitoring and maintenance of these widely distributed installations. To address this challenge, several digitization architectures have been proposed, with one of the most recently applied being the digital twin (DT) system architecture. DTs have proven effective in predictive maintenance, rapid prototyping, efficient manufacturing, and reliable system monitoring. However, while the DT concept is well established in fields like wind energy conversion and monitoring, its scope of implementation in PV remains quite limited. Additionally, the recent increased adoption of autonomous platforms, particularly robotics, has expanded the scope of PV management and revealed gaps in real-time monitoring needs. DT platforms can be redesigned to ease such applications and enable integration into the broader energy network. This work provides a system-level overview of current trends, challenges, and future opportunities for DTs within renewable energy systems, focusing on PV systems. It also highlights how advances in artificial intelligence (AI), the internet-of-Things (IoT), and autonomous systems can be leveraged to create a digitally connected energy infrastructure that supports sustainable energy supply and maintenance.https://www.mdpi.com/2673-9941/5/1/7digital twinsolar photovoltaicsartificial intelligenceautonomous systemsrenewable energysustainable infrastructure |
| spellingShingle | Olufemi Olayiwola Umit Cali Miles Elsden Poonam Yadav Enhanced Solar Photovoltaic System Management and Integration: The Digital Twin Concept Solar digital twin solar photovoltaics artificial intelligence autonomous systems renewable energy sustainable infrastructure |
| title | Enhanced Solar Photovoltaic System Management and Integration: The Digital Twin Concept |
| title_full | Enhanced Solar Photovoltaic System Management and Integration: The Digital Twin Concept |
| title_fullStr | Enhanced Solar Photovoltaic System Management and Integration: The Digital Twin Concept |
| title_full_unstemmed | Enhanced Solar Photovoltaic System Management and Integration: The Digital Twin Concept |
| title_short | Enhanced Solar Photovoltaic System Management and Integration: The Digital Twin Concept |
| title_sort | enhanced solar photovoltaic system management and integration the digital twin concept |
| topic | digital twin solar photovoltaics artificial intelligence autonomous systems renewable energy sustainable infrastructure |
| url | https://www.mdpi.com/2673-9941/5/1/7 |
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