Efficiency Improvement of NonUniformly-Aged PV Arrays
- Submitting institution
-
University of York
- Unit of assessment
- 12 - Engineering
- Output identifier
- 65600126
- Type
- D - Journal article
- DOI
-
10.1109/TPEL.2016.2544842
- Title of journal
- IEEE Transactions on Power Electronics
- Article number
- -
- First page
- 1124
- Volume
- 32
- Issue
- 2
- ISSN
- 0885-8993
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
B - Intelligent Systems and Nano-Science
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Due to harsh working environments, non-uniform ageing of photovoltaic (PV) modules is universal in large scale PV plants, decreasing efficiency by 20-30%. To take full advantage of aged large-scale PV modules for maximum power output, the author collaborated with MIT, Newcastle and Liverpool to propose an artificial intelligence (AI) based reconfiguration algorithm to maximise power generation without replacing any PV modules. The proposed technology secured funding from Royal Academy of Engineering(£75k, ProjectID:IAPP1\100015). The proposed technology has been applied in South Africa (Optimal Group Engineering Ltd ,Contact: Senior Engineer and Project lead).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -