Lifetime assessment of a photovoltaic system using stochastic Petri nets

The lifetime estimation of photovoltaic (PV) systems is an important consideration in their life cycle. This paper presents a multi-level methodology to estimate the availability and the lifetime of a PV system using stochastic Petri networks and taking into account the time distribution to failure...

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Bibliographic Details
Published in:International journal of modelling & simulation 2017-07, Vol.37 (3), p.149-155
Main Authors: Charki, A., Logerais, P. O., Bigaud, D., Kébé, C. M. F., Ndiaye, A.
Format: Article
Language:English
Subjects:
Automatic
Availability
Configurations
Electric power
Engineering Sciences
Evolution
failure probability
Life cycle assessment
lifetime
Modules
MTBF
Petri nets
Photovoltaic cells
Photovoltaic system
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Summary:The lifetime estimation of photovoltaic (PV) systems is an important consideration in their life cycle. This paper presents a multi-level methodology to estimate the availability and the lifetime of a PV system using stochastic Petri networks and taking into account the time distribution to failure and to repair. The following components - module, wires, and inverter - are modeled with a Petri network. The evolution of the MTBF, availability, and outages over a 30-year period is simulated for different series/parallel configurations of connected PV modules. Findings are in agreement with reported experimental results, namely the evolution of the availability which tends to be near 96% for long times. Numerical results show that the highest MTBF is 3.2 years and the lowest outage is of 11.84 days/year, which are both obtained for the string configuration. The approach is interesting for the dimensioning of a PV plant or an installation.
ISSN:0228-6203
1925-7082
DOI:10.1080/02286203.2017.1297923