Olayiwola, Olufemi orcid.org/0000-0002-2915-2193, Cali, Umit orcid.org/0000-0002-6402-0479, Elsden, Miles et al. (1 more author) (2025) Enhanced Solar Photovoltaic System Management and Integration:The Digital Twin Concept. Solar. 7. ISSN 2673-9941
Abstract
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.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | Publisher Copyright: © 2025 by the authors. |
Keywords: | artificial intelligence,autonomous systems,digital twin,renewable energy,solar photovoltaics,sustainable infrastructure |
Dates: |
|
Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Electronic Engineering (York) The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 28 May 2025 12:40 |
Last Modified: | 28 May 2025 12:40 |
Published Version: | https://doi.org/10.3390/solar5010007 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.3390/solar5010007 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:227172 |