Degradation evaluation of PV modules operating under Northern Saharan environment in Algeria

Charrouf, Omar; Achour, Betka; Hefaidh, Hadef; Djebabra, Mébarek; Tiar, Mourad

doi:10.1063/1.4976249

Cited by 5 publications

(4 citation statements)

References 10 publications

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“…For all the instruments, we have assumed a tolerance-uncertainty ratio (TUR) of 4:1. By applying the approach described by Whitfield and Osterwald, 29 it is possible to calculate the expanded uncertainty for a single voltage measurement V in 1996 and 2017 using Equations ( 6) and ( 7) and for a single current measurement I using Equations (8) and ( 9):…”

Section: Analysis Of Uncertaintymentioning

confidence: 99%

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Analysis of the degradation of single‐crystalline silicon modules after 21 years of operation

Piliougine

Oukaja

Sánchez-Friera

et al. 2021

Progress in Photovoltaics

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In this paper, the results of the analysis of the degradation of a set of single-crystalline silicon modules after 21 years are presented. The comparison of the main electrical parameters and the series and of the shunt resistances measured in 1996 and 2017 is performed, so that the annual degradation rate is evaluated. In addition, a detailed analysis of the parameter uncertainties has been performed in order to determine its impact on the results. A visual inspection of the modules has also been carried out in order to show the correlation with the variation of the electrical performance.Finally, the temperature coefficients of the degraded modules have been estimated and compared with the nominal ones. The results shown in the paper reveal that the mean annual degradation rate in terms of power is close to 0.9%. KEYWORDSI-V curve correction, outdoor measurement, photovoltaic degradation, temperature coefficient, uncertainty analysis, visual defect main electrical parameters and the increase in their dispersion have to be considered. As each module tends to degrade in a different way, the behavior of the modules will be more and more different as time goes by, thus affecting negatively the global performance of the plant.According to Köntges et al. 2 a module defect is an irreversible damage that causes either a degradation in terms of power or a security risk. These defects can be classified in different categories wileyonlinelibrary.com/journal/pip

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Section: Analysis Of Uncertaintymentioning

confidence: 99%

“…The value of U I (I SC ) is determined by applying Equation (8) or Equation (9) to the estimation of I SC . Analogously, U V (V OC ) and U P (P max )…”

Section: Analysis Of Uncertaintymentioning

confidence: 99%

Analysis of the degradation of single‐crystalline silicon modules after 21 years of operation

Piliougine

Oukaja

Sánchez-Friera

et al. 2021

Progress in Photovoltaics

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“…This great longevity of the PV modules was the origin of degradation model development of PV modules or accelerated aging tests to evaluate this degradation.Finally, for models based on accelerated aging tests, according to Charki et al (2013), the limitation of accelerated testing of PV modules models cited by these four studies is that they do not use the relationships between the accelerated tests and the nominal conditions or the stochastic aspect of these conditions. To remedy this deficiency, the authors (Lyu et al , 2020; Kim et al , 2019; Sayed et al , 2019; Charrouf et al , 2017; Zhang et al , 2013) recommend consideration of constraints influencing the aging of PV modules as stochastic parameters in the reliability studies. In this regard, there is a justified choice of these parameters.…”

Section: Literature Review Of Studies On Pv Modulesmentioning

confidence: 99%

Reliability degradation prediction of photovoltaic modules based on dependability methods

Hefaidh

Djebabra

Negrou

et al. 2021

IJQRM

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PurposeThe reliability prediction is among the most important objectives for achieving overall system performance, and this prediction carried out by anticipating system performance degradation. In this context, the purpose of this research paper is to development of methodology for the photovoltaic (PV) modules' reliability prediction taking into account their future operating context.Design/methodology/approachThe proposed methodology is framed by dependability methods, in this regard, two methods of dysfunctional analysis were used, the Failure Mode and Effects Criticality Analysis (FMECA) method is carried out for identification of the degradation modes, and the Fault Tree Analysis (FTA) method is used for identification the causes of PV modules degradation and the parameters influencing its degradation. Then, based on these parameters, accelerated tests have been used to predict the reliability of PV modules.FindingsThe application of the proposed methodology on PWX 500 PV modules' in different regions of Algeria makes it possible to predict its reliability, taking into account the future constraints on its operation. In this case, the temperature and relative humidity vary from one region to another was chosen as constraints. The results obtained from the different regions confirms the reliability provided by the designer of the Saharan cities Biskra, In Salah, Tamanraset, and affirms this value for the two Mediterranean cities of Oran and Algiers.Originality/valueThe proposed methodology is developed for the reliability prediction of the PV modules taking into account their future operating context and, the choice of different regions confirms or disproves the reliability provided by the designer of the PV modules studied. This application confirms their performance within the framework of the reliability prediction.

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“…However, experimental studies are more notable and mostly confined to specific geographical locations. For instance, for degradation in mono c-Si, studies on 7 years aged modules in Singapore (Luo et al, 2019), 5 years aged modules in India (Dubey et al, 2017), 5 and 10 years aged modules in Algeria (Charrouf et al, 2017), 3 years aged modules in Senegal (Ndiaye et al, 2015), 12 years aged modules in Ghana (Aboagye et al, 2021), and 22 years aged modules in Spain (Lillo-Sánchez et al, 2021) are notable. For degradation in poly c-Si, studies on 3 years aged modules in Indonesia (Sinaga et al, 2019), 9 years aged modules in Malaysia (Islam et al, 2018), and 3 years aged modules in India (Dubey et al, 2017) are notable.…”

Section: Introductionmentioning

confidence: 99%

Analysis of various degradations of five years aged mono c-Si, poly c-Si, and thin-film photovoltaic modules from rooftop solar installations in Dhaka’s tropical wet and dry climate conditions

et al. 2023

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This study evaluates the degradation of mono, poly, and thin-film silicon solar photovoltaic (PV) modules through visual and electrical measurements in Dhaka’s tropical wet and dry climate conditions. For this, several sites of rooftop solar PV installations in Dhaka, aged at least 5 years, were selected for field investigation. A visible inspection for visual degradation followed by experimental testing on various electrical characteristics of the PV modules installed on the rooftop using a portable Seaward I–V Tracer for measuring the electrical degradation was done. The electrical data were used to evaluate the degradation of short circuit current, open circuit voltage, fill factor, and maximum power in the field as compared to the nameplate values. Experimental results showed the varying types of visual degradation types such as visible cracks, snail trails, moisture intrusion, front glass, and discoloration for the investigated PV modules. The degradation of PV modules in terms of short circuit current was 0.7%/year for 85Wp mono c-Si, 7.6%/year for 150Wp poly c-Si, and 9.7%/year for 105Wp silicon thin-film, respectively. We believe this study would guide the maintenance of the solar PV systems installed on Dhaka city’s rooftop buildings.

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Degradation evaluation of PV modules operating under Northern Saharan environment in Algeria

Cited by 5 publications

References 10 publications

Analysis of the degradation of single‐crystalline silicon modules after 21 years of operation

Analysis of the degradation of single‐crystalline silicon modules after 21 years of operation

Reliability degradation prediction of photovoltaic modules based on dependability methods

Analysis of various degradations of five years aged mono c-Si, poly c-Si, and thin-film photovoltaic modules from rooftop solar installations in Dhaka’s tropical wet and dry climate conditions

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