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Article

Impact of Component Reliability on Large Scale Photovoltaic Systems’ Performance

1
Vattenfall Innovation GmbH, Chausseestrasse 23, 10115 Berlin, Germany
2
Centre for Renewable Energy Systems Technology, School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough, LE11 3TU, UK
3
juwi Renewable Energies Limited, Energie-Allee 1, 55286 Wörrstadt, Germany
4
Fraunhofer-Centre for Silicon-Photovoltaic CSP, Walter-Hülse-Strasse 1, 06120 Halle, Germany
*
Author to whom correspondence should be addressed.
Energies 2018, 11(6), 1579; https://doi.org/10.3390/en11061579
Received: 9 February 2018 / Revised: 24 May 2018 / Accepted: 12 June 2018 / Published: 15 June 2018
(This article belongs to the Special Issue PV System Design and Performance)
In this work, the impact of component reliability on large scale photovoltaic (PV) systems’ performance is demonstrated. The analysis is largely based on an extensive field-derived dataset of failure rates of operation ranging from three to five years, derived from different large-scale PV systems. Major system components, such as transformers, are also included, which are shown to have a significant impact on the overall energy lost due to failures. A Fault Tree Analysis (FTA) is used to estimate the impact on reliability and availability for two inverter configurations. A Failure Mode and Effects Analysis (FMEA) is employed to rank failures in different subsystems with regards to occurrence and severity. Estimation of energy losses (EL) is realised based on actual failure probabilities. It is found that the key contributions to reduced energy yield are the extended repair periods of the transformer and the inverter. The very small number of transformer issues (less than 1%) causes disproportionate EL due to the long lead times for a replacement device. Transformer and inverter issues account for about 2/3 of total EL in large scale PV systems (LSPVSs). An optimised monitoring strategy is proposed in order to reduce repair times for the transformer and its contribution to EL. View Full-Text
Keywords: photovoltaic systems; reliability; real data; energy yield; fault tree analysis; failure mode and effect analysis; availability; failure rates photovoltaic systems; reliability; real data; energy yield; fault tree analysis; failure mode and effect analysis; availability; failure rates
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MDPI and ACS Style

Baschel, S.; Koubli, E.; Roy, J.; Gottschalg, R. Impact of Component Reliability on Large Scale Photovoltaic Systems’ Performance. Energies 2018, 11, 1579. https://doi.org/10.3390/en11061579

AMA Style

Baschel S, Koubli E, Roy J, Gottschalg R. Impact of Component Reliability on Large Scale Photovoltaic Systems’ Performance. Energies. 2018; 11(6):1579. https://doi.org/10.3390/en11061579

Chicago/Turabian Style

Baschel, Stefan, Elena Koubli, Jyotirmoy Roy, and Ralph Gottschalg. 2018. "Impact of Component Reliability on Large Scale Photovoltaic Systems’ Performance" Energies 11, no. 6: 1579. https://doi.org/10.3390/en11061579

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