The impact of cracks on the performance of photovoltaic modules

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

doi:10.1109/PTC.2017.7980824

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 proceeding › Conference contribution › peer-review

6 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.

Original language	English
Title of host publication	2017 IEEE Manchester PowerTech
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	6
ISBN (Electronic)	9781509042371
ISBN (Print)	9781509042388
DOIs	https://doi.org/10.1109/PTC.2017.7980824
Publication status	Published - 20 Jul 2017
Event	12th IEEE Power and Energy Society PowerTech Conference: Towards and Beyond Sustainable Energy Systems - University of Manchester, Manchester, United Kingdom Duration: 18 Jun 2017 → 22 Jun 2017 Conference number: 12 http://sites.ieee.org/pes-powertech/ (Link to Conference Website )

Conference

Conference	12th IEEE Power and Energy Society PowerTech Conference
Country/Territory	United Kingdom
City	Manchester
Period	18/06/17 → 22/06/17
Internet address	http://sites.ieee.org/pes-powertech/ (Link to Conference Website )

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/PTC.2017.7980824Licence: Unspecified

http://eprints.hud.ac.uk/id/eprint/33469/Licence: Unspecified
http://ieeexplore.ieee.org/document/7980824/Licence: Unspecified

Cite this

@inproceedings{fd67ecd4b31544beadbf3a7e31834d40,

title = "The impact of cracks on the performance of photovoltaic modules",

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.",

keywords = "Photovoltaic (PV) cracks, Electroluminescence (EL) method, Statistical approach, Virtual instrumentation (VI), LabVIEW software",

author = "Mahmoud Dhimish and Violeta Holmes and Mark Dales and Peter Mather and Martin Sibley and Benjamin Chong and Li Zhang",

year = "2017",

month = jul,

day = "20",

doi = "10.1109/PTC.2017.7980824",

language = "English",

isbn = "9781509042388",

booktitle = "2017 IEEE Manchester PowerTech",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "12th IEEE Power and Energy Society PowerTech Conference : Towards and Beyond Sustainable Energy Systems ; Conference date: 18-06-2017 Through 22-06-2017",

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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

TY - GEN

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

AU - Dhimish, Mahmoud

AU - Holmes, Violeta

AU - Dales, Mark

AU - Mather, Peter

AU - Sibley, Martin

AU - Chong, Benjamin

AU - Zhang, Li

N1 - Conference code: 12

PY - 2017/7/20

Y1 - 2017/7/20

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.

KW - Photovoltaic (PV) cracks

KW - Electroluminescence (EL) method

KW - Statistical approach

KW - Virtual instrumentation (VI)

KW - LabVIEW software

U2 - 10.1109/PTC.2017.7980824

DO - 10.1109/PTC.2017.7980824

M3 - Conference contribution

SN - 9781509042388

BT - 2017 IEEE Manchester PowerTech

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 12th IEEE Power and Energy Society PowerTech Conference

Y2 - 18 June 2017 through 22 June 2017

ER -

The impact of cracks on the performance of photovoltaic modules

Abstract

Conference

UN SDGs

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Cite this