Potential-induced degradation in photovoltaic modules: a critical review

Luo, Wei; Khoo, Yong Sheng; Hacke, Peter; Naumann, Volker; Lausch, Dominik; Harvey, Steven P.; Singh, Jai Prakash; Chai, Jing; Wang, Yan; Aberle, Armin G.; Ramakrishna, Seeram

doi:10.1039/C6EE02271E

Title: Potential-induced degradation in photovoltaic modules: a critical review

Journal Article · Mon Nov 21 00:00:00 EST 2016 · Energy & Environmental Science

DOI:https://doi.org/10.1039/C6EE02271E· OSTI ID:1343394

Luo, Wei ^[1]; Khoo, Yong Sheng ^[2]; Hacke, Peter ^[3]; Naumann, Volker ^[4]; Lausch, Dominik ^[4]; Harvey, Steven P. ^[3]; Singh, Jai Prakash ^[2]; Chai, Jing ^[2]; Wang, Yan ^[2]; Aberle, Armin G. ^[5]; Ramakrishna, Seeram ^[1]

National Univ. of Singapore (Singapore). Solar Energy Research Inst. of Singapore (SERIS); National Univ. of Singapore (Singapore). Dept. of Mechanical Engineering
National Univ. of Singapore (Singapore). Solar Energy Research Inst. of Singapore (SERIS)
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Fraunhofer Center for Silicon-Photovoltaics CSP, Halle (Germany)
National Univ. of Singapore (Singapore). Solar Energy Research Inst. of Singapore (SERIS); National Univ. of Singapore (Singapore). Dept. of Electrical and Computing Engineering

Potential-induced degradation (PID) has received considerable attention in recent years due to its detrimental impact on photovoltaic (PV) module performance under field conditions. Both crystalline silicon (c-Si) and thin-film PV modules are susceptible to PID. While extensive studies have already been conducted in this area, the understanding of the PID phenomena is still incomplete and it remains a major problem in the PV industry. Herein, a critical review of the available literature is given to serve as a one-stop source for understanding the current status of PID research. This article also aims to provide an overview of future research paths to address PID-related issues. This paper consists of three parts. In the first part, the modelling of leakage current paths in the module package is discussed. The PID mechanisms in both c-Si and thin-film PV modules are also comprehensively reviewed. The second part summarizes various test methods to evaluate PV modules for PID. The last part focuses on studies related to PID in the omnipresent p-type c-Si PV modules. The dependence of temperature, humidity and voltage on the progression of PID is examined. Preventive measures against PID at the cell, module and system levels are illustrated. Moreover, PID recovery in standard p-type c-Si PV modules is also studied. Most of the findings from p-type c-Si PV modules are also applicable to other PV module technologies.

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Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 1343394

Report Number(s):: NREL/JA-5J00-67341; EESNBY

Journal Information:: Energy & Environmental Science, Vol. 10, Issue 1; ISSN 1754-5692

Publisher:: Royal Society of ChemistryCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 264 works

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Broad-spectrum enhanced absorption of graphene-molybdenum disulfide photovoltaic cells in metal-mirror microcavity Jiang-Tao, Liu; Yun-Kai, Cao; Hong, Tong Nanotechnology, Vol. 29, Issue 14 https://doi.org/10.1088/1361-6528/aaab13	journal	February 2018
Regular and Irregular Performance Variation of Module String and Occurred Conditions for Potential Induced Degradation-Affected Crystalline Silicon Photovoltaic Power Plants Huang, Jingsheng; Sun, Yaojie; Wang, He Energies, Vol. 12, Issue 22 https://doi.org/10.3390/en12224230	journal	November 2019
Detection of Typical Defects in Silicon Photovoltaic Modules and Application for Plants with Distributed MPPT Configuration Ahmad, Jawad; Ciocia, Alessandro; Fichera, Stefania Energies, Vol. 12, Issue 23 https://doi.org/10.3390/en12234547	journal	November 2019
Experimental Evidence of PID Effect on CIGS Photovoltaic Modules Boulhidja, Sofiane; Mellit, Adel; Voswinckel, Sebastian Energies, Vol. 13, Issue 3 https://doi.org/10.3390/en13030537	journal	January 2020
Condition Monitoring in Photovoltaic Systems by Semi-Supervised Machine Learning Maaløe, Lars; Winther, Ole; Spataru, Sergiu Energies, Vol. 13, Issue 3 https://doi.org/10.3390/en13030584	journal	January 2020
Development of a GIS Tool for High Precision PV Degradation Monitoring and Supervision: Feasibility Analysis in Large and Small PV Plants de Simón-Martín, Miguel; Diez-Suárez, Ana-María; Álvarez-de Prado, Laura Sustainability, Vol. 9, Issue 6 https://doi.org/10.3390/su9060965	journal	June 2017

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