Reliability, availability and maintainability analysis for grid-connected solar photovoltaic systems

Photovoltaic solar technology is economically competitive, modular, and has a low environmental impact. The problem addressed is understanding how the reliability of components in a grid-connected solar photovoltaic (PV) system impacts its performance. This review systematically explores the existing literature on the Performance indicators of solar PV systems. Through a structured search process in Scopus and Web of Science databases, a total of 292 references were found from which 21 were selected, organized into five main topics, and a base article was chosen to update knowledge with a practical and statistical approach. The literature review confirms that reliability, availability, and maintainability (RAM) are directly linked to solar PV system performance. Reliability Engineering techniques were applied to study trends, comparisons, and future system behavior. A RAM analysis was developed for seven practical solar PV system designs, using failure and repair rate data from the literature. The RAM study focused on three subsystems: Balance of System (BOS), photovoltaic modules (PV modules), and inverters. Results showed that while all three subsystems are reliable and available over 1 and 20-year periods, the inverter consistently had the lowest reliability and is therefore the most likely component to fail first. Furthermore, the study identifies gaps and proposes avenues for improvement, recommending a shift toward analysis approaches of Useful life Characterization techniques using Distribution ID and Overview Plot Analysis, multivariable analysis and incorporating the Weibull distribution into the study due to its special characteristics and typical bath tube curve for a predictive approach to decision-making that contributes to photovoltaic system performance.

Authors

Institutions

Publication Details

Journal
Renewable Energies
Published
2025-01-01
DOI
https://doi.org/10.1177/27533735251347993
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reliability, availability and maintainability analysis for grid-connected solar photovoltaic systems

R Navarro, Carlos Meza, Luis Diego Murillo-Soto, Carlos Segura Quirós
1 links
Renewable Energies
Photovoltaic System Optimization Techniques
article

Reliability, availability and maintainability analysis for grid-connected solar photovoltaic systems

R Navarro, Carlos Meza, Luis Diego Murillo-Soto, Carlos Segura Quirós
article en

Abstract

Photovoltaic solar technology is economically competitive, modular, and has a low environmental impact. The problem addressed is understanding how the reliability of components in a grid-connected solar photovoltaic (PV) system impacts its performance. This review systematically explores the existing literature on the Performance indicators of solar PV systems. Through a structured search process in Scopus and Web of Science databases, a total of 292 references were found from which 21 were selected, organized into five main topics, and a base article was chosen to update knowledge with a practical and statistical approach. The literature review confirms that reliability, availability, and maintainability (RAM) are directly linked to solar PV system performance. Reliability Engineering techniques were applied to study trends, comparisons, and future system behavior. A RAM analysis was developed for seven practical solar PV system designs, using failure and repair rate data from the literature. The RAM study focused on three subsystems: Balance of System (BOS), photovoltaic modules (PV modules), and inverters. Results showed that while all three subsystems are reliable and available over 1 and 20-year periods, the inverter consistently had the lowest reliability and is therefore the most likely component to fail first. Furthermore, the study identifies gaps and proposes avenues for improvement, recommending a shift toward analysis approaches of Useful life Characterization techniques using Distribution ID and Overview Plot Analysis, multivariable analysis and incorporating the Weibull distribution into the study due to its special characteristics and typical bath tube curve for a predictive approach to decision-making that contributes to photovoltaic system performance.

Renewable EnergiesVol. 3(1)
Instituto Tecnológico de Costa Rica (CR), Anhalt University of Applied Sciences (DE)
Openalex Percentile: Top 90%
Photovoltaic System Optimization Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.