Reliability assessment of photovoltaic balance of system

Loredana Cristaldi, Mohamed Khalil, Payam Soulatiantork

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Photovoltaic (PV) system is divided mainly into two subsystems; PV modules and balance of system (BoS) subsystems. This work shows two approaches for a reliability analysis on the subsystem level of BoS; Failure mode effects criticality analysis (FMECA) and Markov Process. FMECA concerns the root causes of failures and introduces prioritization numbers to highlight critical components of BoS. Meanwhile, Markov process is a reliability methodology that aims to predict the probability of success and failure of BoS. In this way, Markov process is a supportive tool for helping decision-makers to judge the criticality of failures associated with the operation of PV systems. The Novelty of the proposed methodologies stems from analyzing the roots of failure causes of BoS components and estimating the probability of failure of these components in order to improve the early development of BoS, enhance maintenance management, and satisfy the demanding reliability by electric utilities.

Original languageEnglish
Title of host publication14th IMEKO TC10 Workshop on Technical Diagnostics 2016: New Perspectives in Measurements, Tools and Techniques for Systems Reliability, Maintainability and Safety
PublisherIMEKO-International Measurement Federation Secretariat
Pages242-247
Number of pages6
ISBN (Print)978-1-5108-2620-5
Publication statusPublished - 2016
Externally publishedYes
Event14th IMEKO TC10 Workshop on Technical Diagnostics 2016: New Perspectives in Measurements, Tools and Techniques for Systems Reliability, Maintainability and Safety - Milan, Italy
Duration: 27 Jun 201628 Jun 2016

Conference

Conference14th IMEKO TC10 Workshop on Technical Diagnostics 2016: New Perspectives in Measurements, Tools and Techniques for Systems Reliability, Maintainability and Safety
CountryItaly
CityMilan
Period27/06/201628/06/2016

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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