Dhimish, Mahmoud, Schofield, Nigel and Attya, Ayman (2021) Insights on the Degradation and Performance of 3000 Photovoltaic Installations of Various Technologies Across the United Kingdom. Industrial Informatics, IEEE Transactions on. pp. 5919-5926. ISSN: 1551-3203
Abstract
This article presents the degradation rates over 8 years for 3000 photovoltaic (PV) installations distributed across the U.K. The article considers three PV cell technologies, namely, monocrystalline silicon (Mono-Si), polycrystalline silicon (Poly-Si), and thin-film cadmium telluride (CdTe). The available raw data undergoes three key stages: normalization, filtering, and aggregation, before the degradation analysis of the considered installations. This algorithm can be considered as one of the article contributions. Results show that a maximum degradation rate of −1.43%/year is observed for the CdTe type, whereas Poly-Si and Mono-Si PVs have annual degradation rates of −0.94% and −0.81%, respectively. Moreover, this article exploits the monthly mean performance ratio (PR) for all the examined PV sites. The highest PR value of 87.97% is calculated for the Mono-Si PV installations, while 85.08% and 83.55% are calculated for Poly-Si and CdTe installations, respectively.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2020 IEEE. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details |
| Dates: |
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| Institution: | The University of York |
| Academic Units: | The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
| Depositing User: | Pure (York) |
| Date Deposited: | 02 Sep 2021 14:50 |
| Last Modified: | 17 Sep 2025 02:39 |
| Published Version: | https://doi.org/10.1109/TII.2020.3022762 |
| Status: | Published |
| Refereed: | Yes |
| Identification Number: | 10.1109/TII.2020.3022762 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:177737 |
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