Review of degradation and failure phenomena in photovoltaic modules
Mohsen Aghaei,A L Fairbrother,Abdulkerim Gok,Sajjad Ahmad,Samrana Kazim,K. Lobato,Gemot Oreski,Angelina H.M.E. Reinders,Juergen Schmitz,Mirjam Theelen,P. Yilmaz,John L. Kettle +11 more
TLDR
In this paper , the degradation of photovoltaic (PV) systems is one of the key factors to address in order to reduce the cost of the electricity produced by increasing the operational lifetime of PV systems.Abstract:
The degradation of photovoltaic (PV) systems is one of the key factors to address in order to reduce the cost of the electricity produced by increasing the operational lifetime of PV systems. To reduce the degradation, it is imperative to know the degradation and failure phenomena. This review article has been prepared to present an overview of the state-of-the-art knowledge on the reliability of PV modules. Whilst the most common technology today is mono- and multi-crystalline silicon, this article aims to give a generic summary which is relevant for a wider range of photovoltaic technologies including cadmium telluride, copper indium gallium selenide and emerging low-cost high-efficiency technologies. The review consists of three parts: firstly, a brief contextual summary about reliability metrics and how reliability is measured. Secondly, a summary of the main stress factors and how they influence module degradation. Finally, a detailed review of degradation and failure modes, which has been partitioned by the individual component within a PV module. This section connects the degradation phenomena and failure modes to the module component, and its effects on the PV system. Building on this knowledge, strategies to improve the operational lifetime of PV systems and thus, to reduce the electricity cost can be devised. Through extensive testing and failure analysis, researchers now have a much better overview of stressors and their impact on long term stability. • Review of reliability metrics and test methodologies for photovoltaic modules • Indicative mapping of relationships between stressors, components, failures and effects in PV modules. • Assessment on the impact of degradation and failure on LCOE and EPBT. • Review of design considerations for all components in a PV module regarding reliability. read more
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Review of technology specific degradation in crystalline silicon, cadmium telluride, copper indium gallium selenide, dye sensitised, organic and perovskite solar cells in photovoltaic modules: Understanding how reliability improvements in mature technologies can enhance emerging technologies
Jeff Kettle,Mohammad Gafar Aghaei,Shahzada Ahmad,Andrew Fairbrother,Stuart J. C. Irvine,Jesper Jacobsson,Samrana Kazim,Vaidotas Kažukauskas,D.A. Lamb,Killian Lobato,Georgios Mousdis,Gernot Oreski,Angele Reinders,Jurriaan Schmitz,P. Yilmaz,Mirjam Theelen +15 more
TL;DR: In this article , specific failure modes associated with mature PV technologies, such as crystalline silicon (c−Si), copper indium gallium selenide (CIGS) and cadmium telluride (cdTe), are framed by sources of specific failure mode, their development from the early developmental stages onwards and their impact upon long term performance of PV modules.
Journal ArticleDOI
Cloud Computing and IoT Based Intelligent Monitoring System for Photovoltaic Plants Using Machine Learning Techniques
Masoud Emamian,Aref Eskandari,Mohammadreza Aghaei,Amir Nedaei,Amir Mohammad Moradi Sizkouhi,Jafar Milimonfared +5 more
TL;DR: An Intelligent Monitoring System for Photovoltaic (PV) systems using affordable and cost-efficient hardware and also lightweight software that is capable of being easily implemented in different locations and having the capability to be installed in different types of PV power plants is proposed.
Journal ArticleDOI
Motivation, benefits, and challenges for new photovoltaic material & module developments
Gernot Oreski,Joshua S. Stein,Gabriele C. Eder,K.A. Berger,Laura S. Bruckman,Roger H. French,John Vedde,Karl-Anders Weiss +7 more
TL;DR: In this article, the authors discuss the main motivations and benefits of material innovations in photovoltaic modules and the challenges for material innovations, including the use of novel materials in place of more conventional materials or designs.
Journal ArticleDOI
IoT-Based PV Array Fault Detection and Classification Using Embedded Supervised Learning Methods
TL;DR: To evaluate the performance of ML models that are suitable for embedding in low-cost hardware at the module level, eight different PV module faults and their impacts on PV module output are discussed based on a literature review and simulation.
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