The impact of cracks on the performance of photovoltaic modules

Mahmoud Dhimish, Violeta Holmes, Mark Dales, Peter Mather, Martin Sibley, Benjamin Chong, Li Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.
LanguageEnglish
Title of host publication2017 IEEE Manchester PowerTech
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781509042371
ISBN (Print)9781509042388
DOIs
Publication statusPublished - 20 Jul 2017
Event12th IEEE Power and Energy Society PowerTech Conference: Towards and Beyond Sustainable Energy Systems - University of Manchester, Manchester, United Kingdom
Duration: 18 Jun 201722 Jun 2017
Conference number: 12
http://sites.ieee.org/pes-powertech/ (Link to Conference Website )

Conference

Conference12th IEEE Power and Energy Society PowerTech Conference
CountryUnited Kingdom
CityManchester
Period18/06/1722/06/17
Internet address

Fingerprint

Cracks
Statistical methods
Electroluminescence

Cite this

Dhimish, M., Holmes, V., Dales, M., Mather, P., Sibley, M., Chong, B., & Zhang, L. (2017). The impact of cracks on the performance of photovoltaic modules. In 2017 IEEE Manchester PowerTech Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PTC.2017.7980824
Dhimish, Mahmoud ; Holmes, Violeta ; Dales, Mark ; Mather, Peter ; Sibley, Martin ; Chong, Benjamin ; Zhang, Li. / The impact of cracks on the performance of photovoltaic modules. 2017 IEEE Manchester PowerTech. Institute of Electrical and Electronics Engineers Inc., 2017.
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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.",
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Dhimish, M, Holmes, V, Dales, M, Mather, P, Sibley, M, Chong, B & Zhang, L 2017, The impact of cracks on the performance of photovoltaic modules. in 2017 IEEE Manchester PowerTech. Institute of Electrical and Electronics Engineers Inc., 12th IEEE Power and Energy Society PowerTech Conference, Manchester, United Kingdom, 18/06/17. https://doi.org/10.1109/PTC.2017.7980824

The impact of cracks on the performance of photovoltaic modules. / Dhimish, Mahmoud; Holmes, Violeta; Dales, Mark; Mather, Peter; Sibley, Martin; Chong, Benjamin; Zhang, Li.

2017 IEEE Manchester PowerTech. Institute of Electrical and Electronics Engineers Inc., 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - The impact of cracks on the performance of photovoltaic modules

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AU - Holmes, Violeta

AU - Dales, Mark

AU - Mather, Peter

AU - Sibley, Martin

AU - Chong, Benjamin

AU - Zhang, Li

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N2 - 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.

AB - 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.

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Dhimish M, Holmes V, Dales M, Mather P, Sibley M, Chong B et al. The impact of cracks on the performance of photovoltaic modules. In 2017 IEEE Manchester PowerTech. Institute of Electrical and Electronics Engineers Inc. 2017 https://doi.org/10.1109/PTC.2017.7980824