An Improved Method for Examining Solar PV Module Failure and Reliability Rate

Abstract- Failure, in general, refers to a situation where the system's performance is significantly impaired, usually dropping below a preset level, such as 80% of its nominal power output. This degradation is caused by a variety of factors, including physical damage, manufacturing defects, and environmental factors. The ability of the PV system to continuously generate electricity over its anticipated lifespan, even in the face of changing environmental conditions, is referred to as reliability. This includes weather resistance, performance, and the system's capacity to continue operating without significant malfunctions. A new method for examining the failure and dependability rate of a solar PV module was examined in this study. The method includes a reliability model called linear degradation model. A PV reliability model was designed based on degradation. On evaluating the model, it was applied to a practical case based on state-of- the-art parameter of crystalline silicon PV technology. This model uses time-dependent power variability and measured degradation rates to produce reliable data, including relevant and tenable power warranties. Examining the reliability and failure of the monocrystalline DSP 210 and polycrystalline SPP 280W PV modules was part of the strategy. With monocrystalline DSP 210, the computed power was 191.134 watts, whereas with polycrystalline DSP 210, it was 267.8 watts. Comparing them to the calculated power for the same model demonstrates their relative reliability. The cells' dependability indicates that they are reliant on the amount of solar radiation present during a specific time of day. Analytical tests and testing revealed that the panels' failure rate was significantly higher in some months than their reliability rate. The bright sunlight over those months was the cause of that.

Authors

Institutions

Publication Details

Journal
International Journal of Latest Technology in Engineering Management & Applied Science
Published
2025-08-11
DOI
https://doi.org/10.51583/ijltemas.2025.1407000072
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

An Improved Method for Examining Solar PV Module Failure and Reliability Rate

Chinedu Chigozie Nwobu, Obinna Kingsley Obi, Abigail Chidimma Odigbo
International Journal of Latest Technology in Engineering Management & Applied Science
Photovoltaic System Optimization Techniques
article

An Improved Method for Examining Solar PV Module Failure and Reliability Rate

Chinedu Chigozie Nwobu, Obinna Kingsley Obi, Abigail Chidimma Odigbo
article en

Abstract

Abstract- Failure, in general, refers to a situation where the system's performance is significantly impaired, usually dropping below a preset level, such as 80% of its nominal power output. This degradation is caused by a variety of factors, including physical damage, manufacturing defects, and environmental factors. The ability of the PV system to continuously generate electricity over its anticipated lifespan, even in the face of changing environmental conditions, is referred to as reliability. This includes weather resistance, performance, and the system's capacity to continue operating without significant malfunctions. A new method for examining the failure and dependability rate of a solar PV module was examined in this study. The method includes a reliability model called linear degradation model. A PV reliability model was designed based on degradation. On evaluating the model, it was applied to a practical case based on state-of- the-art parameter of crystalline silicon PV technology. This model uses time-dependent power variability and measured degradation rates to produce reliable data, including relevant and tenable power warranties. Examining the reliability and failure of the monocrystalline DSP 210 and polycrystalline SPP 280W PV modules was part of the strategy. With monocrystalline DSP 210, the computed power was 191.134 watts, whereas with polycrystalline DSP 210, it was 267.8 watts. Comparing them to the calculated power for the same model demonstrates their relative reliability. The cells' dependability indicates that they are reliant on the amount of solar radiation present during a specific time of day. Analytical tests and testing revealed that the panels' failure rate was significantly higher in some months than their reliability rate. The bright sunlight over those months was the cause of that.

International Journal of Latest Technology in Engineering Management & Applied ScienceVol. 14(7)
Nnamdi Azikiwe University (NG)
Responsible consumption and production
Openalex Percentile: Top 87%
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.