Dhimish, M, Holmes, V, Dales, M et al. (4 more authors) (2017) The Impact of Cracks on the Performance of Photovoltaic Modules. In: 2017 IEEE Manchester PowerTech. PowerTech 2017, 18-22 Jun 2017, Manchester, UK. IEEE ISBN 978-1-5090-4237-1
Abstract
This paper presents a statistical approach for identifying the significant impact of cracks on the output power performance of photovoltaic (PV) modules. Since there are a few statistical analysis of data for investigating the impact of cracks in PV modules in real-time long-term data measurements. Therefore, this paper will demonstrate a statistical approach which uses two statistical techniques: T-test and F-test. Electroluminescence (EL) method is used to scan possible cracks in the examined PV modules. Moreover, virtual instrumentation (VI) LabVIEW software is used to predict the theoretical output power performance of the examined PV modules based on the analysis of I-V and P-V curves. The statistical analysis approach has been validated using 45 polycrystalline PV modules at the University of Huddersfield, UK.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © Copyright IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Photovoltaic (PV) cracks; Electroluminescence (EL) method; Statistical approach; Virtual Instrumentation (VI) LabVIEW software; Photovoltaic cells, Statistical analysis, Power measurement, Photovoltaic systems, Real-time systems |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 27 Feb 2018 11:59 |
Last Modified: | 13 May 2019 07:57 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/PTC.2017.7980824 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:127729 |