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Photovoltaic module and system fault analysis

Al Senani, Salim (2017) Photovoltaic module and system fault analysis. Honours thesis, Murdoch University.

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Abstract

Photovoltaic (PV) systems have a total installed capacity of 6 GW in Australia at the end of 2016 according to International Energy Agency (IEA). Despite this, there are PV systems and system components that are suboptimal. The weather and different climate zones affect the performance of PV solar system, and it could cause degradation and reduction in performance. Because of this, an online questionnaire called the Photovoltaic Module and System Fault Reporting Portal (PVFRP) was established. This project was funded by the Australian Renewable Energy Agency (ARENA) and coordinated by the School of Engineering and Information Technology at Murdoch University in cooperation with the Clean Energy Council (CEC), the Australian PV Institute (APVI), UNSW, and Ekistica (Project Participants). This portal covers five main sections: Module, Installation, Inverter, Other Equipment and General Issues. The PVFRP is aimed to gather data a section of a PV system that has a failure and further details about the defective components. Due to the issues found in the original version a revised version of PVFRP was developed. The revised version was approved by the Murdoch University Human Research Ethics Committee, and it has been in operation since October 2017. This thesis project intend to analyse the obtained data from PVFRP and summarise the recently published findings associated with operational failure in PV systems including their main driving factors. In general, the findings from both versions of the PVFRP are also recognised in the literature findings of similar area studies performed in nationally and/or internationally. The repoted failure types vary over the five sections. Some safety problems issues were also reported through PVFRP such as incorrect wiring of polarised DC circuit breakers, and exposed live conduct.

Publication Type: Thesis (Honours)
Murdoch Affiliation: School of Engineering and Information Technology
Supervisor: Calais, Martina
URI: http://researchrepository.murdoch.edu.au/id/eprint/40488
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