Quantification of photovoltaic module degradation using model based indicators

Bastidas‐Rodríguez, Juan David; Franco, Édinson; Petrone, G.; Ramos‐Paja, Carlos Andrés; Spagnuolo, G.

doi:10.1016/j.matcom.2015.04.003

Cited by 33 publications

(19 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…After checking the weather conditions, we set up the value of voltage at the B&K Precision 8514 electronic load (constant voltage operation mode) to 80% of the open-circuit voltage delivered by the solar panel string, in order to approximate the operation point of maximum power [4], [5].…”

Section: Methodsmentioning

confidence: 99%

Dataset for recognition of snail trails and hot spot failures in monocrystalline Si solar panels

et al. 2019

View full text Add to dashboard Cite

This article presents a dataset for thermal characterization of photovoltaic systems to identify snail trails and hot spot failures. This dataset has 277 thermographic aerial images that were acquired by a Zenmuse XT IR camera (7–13 μm wavelength) from a DJI Matrice 100 1drone (quadcopter). Additionally, our dataset includes the next environmental measurements: temperature, wind speed, and irradiance. The experimental set up consisted in a photovoltaic array of 4 serial monocrystalline Si panels (string) and an electronic equipment emulating a real load. The conditions for images acquisition were stablished in a flight protocol in which we defined altitude, attitude, and weather conditions.

show abstract

Section: Methodsmentioning

confidence: 99%

Dataset for recognition of snail trails and hot spot failures in monocrystalline Si solar panels

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Other methods are presented in [58], [59], and [60]. All of the developed electrical FDD based techniques can be done through offline adaptation (test of the technique's effectiveness) [36] or online adaptation at a real-time [60][61][62][63].…”

Section: Fdd Electrical-based Techniquesmentioning

confidence: 99%

A comprehensive study of diagnosis faults techniques occurring in photovoltaic generators

et al. 2021

View full text Add to dashboard Cite

Recently, many focuses have been done in the field of renewable energies, especially in solar photovoltaic energy. Photovoltaic generator, considered as the heart of any photovoltaic installation, exhibits sometimes malfunctions which involve degradations on the overall photovoltaic plant. Therefore, diagnosis techniques are required to ensure failures detection. They avoid dangerous risks, prevent damages, allow protection, and extend their healthy life. For these purposes, many recent studies have given focuses on this field. This paper summarizes a large number of such interesting works. It presents a survey of photovoltaic generator degradations kinds, several types of faults, and their major diagnosis techniques. Comparative studies and some critical analyses are given. Other trending diagnosis solutions are also discussed. A proposed neural networks-based technique is developed to clarify the main process of diagnosis techniques, using artificial intelligence. This method shows good results for modelling and diagnosing the healthy and faulty (shaded) photovoltaic array.

show abstract

“…Although many exciting works are aimed at the PVM's degradation estimation, they do not offer a schema or information for its mitigation by EMS. Examples of these are [21,[29][30][31][32][33].…”

Section: Potential Induced Degradationmentioning

confidence: 99%

An Overview on Electric-Stress Degradation Empirical Models for Electrochemical Devices in Smart Grids

2021

View full text Add to dashboard Cite

The conversion from existing electrical networks into an all-renewable and environmentally friendly electrification scenario is insufficient to produce and distribute energy efficiently. Electrochemical devices’ premature degradation as a whole caused by electrical stressors in smart grids is incipient from an energy management strategies (EMS) perspective. Namely, few electrical-stress degradation models for photovoltaic panels, batteries, fuel cells, and super/ultra-capacitors (SCs), and particular stressors can be found in the literature. In this article, the basic operating principles for such devices, existing degradation models, and future research hints, including their incorporation in novel EMS, are condensed. The necessity of extending these studies to other stressors and devices is also emphasized. There are many other degradation models by non-electrical stressors, such as climatic conditions and mechanical wear. Although novel EMS should manage both electrical and non-electrical degradation mechanisms and include non-electrochemical devices, models with pure non-electrical-stressors are not the subject of this review since they already exist. Moreover, studies for the degradation of non-electrochemical devices by electrical stressors are very scarce.

show abstract

Quantification of photovoltaic module degradation using model based indicators

Cited by 33 publications

References 28 publications

Dataset for recognition of snail trails and hot spot failures in monocrystalline Si solar panels

Dataset for recognition of snail trails and hot spot failures in monocrystalline Si solar panels

A comprehensive study of diagnosis faults techniques occurring in photovoltaic generators

An Overview on Electric-Stress Degradation Empirical Models for Electrochemical Devices in Smart Grids

Contact Info

Product

Resources

About