Contribution to the Modeling of Ageing Effects in PV Cells and Modules

Nehme, Bechara; M'Sirdi, Kouider; Akiki, Tilda; Naamane, Aziz

doi:10.1016/j.egypro.2014.12.418

Cited by 18 publications

(5 citation statements)

References 4 publications

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“…simulated the effect of cracks on power production [16]. In our previous works we modeled all degradations as function of time and of external environmental conditions [17], [18]. We also enhanced our model for taking into consideration the fact that external conditions vary during the day and during the year [19].…”

Section: Imentioning

confidence: 99%

“…When a PV cell is subject to degradation, its equivalent circuit is modified. In fact, the elements of the equivalent circuit will vary [17][18]. Qualitatively, The Isc and the Rsh will decrease, The I01, the I02, and the Rs will increase.…”

Section: Modeling Degradation Modesmentioning

confidence: 99%

“…However, in modeling the Rs and Rsh resistors are affected by the discoloration of the EVA encapsulation. The latter is measured by a factor denoted Delta Yellowness Index (DYI) [8][9][10]17]. The Rs will increase and the Rsh will decrease.…”

Section: Uvd Modelingmentioning

confidence: 99%

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Assessing the Effect of Temperature on Degradation Modes of PV Panels

Nehme

M'Sirdi

Akiki

et al. 2020

2020 5th International Conference on Renewable Energies for Developing Countries (REDEC)

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PV panels are affected by many degradation modes. We list the Potential Induced Degradation, the Light Induced Degradation, the UltraViolet Light Degradation, the Moisture Induced Degradation, and the Cell Cracks. These degradation modes are affected by external environmental conditions as irradiance, temperature and humidity. The common factor that affects the degradation modes is temperature. The degradation process follows an Arrhenius equation; it is exponentially related to temperature. In this paper we evaluate precisely the effect of temperature on the degradation process of PV panels.

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Section: Imentioning

confidence: 99%

Section: Modeling Degradation Modesmentioning

confidence: 99%

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Assessing the Effect of Temperature on Degradation Modes of PV Panels

Nehme

M'Sirdi

Akiki

et al. 2020

2020 5th International Conference on Renewable Energies for Developing Countries (REDEC)

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“…[ 7,8 ] In contrast, others have used earlier aging studies to determine an experimental function to model further aging tests. [ 9–15 ] While most of these studies have focused on the more established silicon solar cells, predicting emerging PV is beginning to gain attention with some interesting contributions. Temperature‐dependent degradation rates have been calculated and experimentally demonstrated for both organic [ 16,17 ] and perovskite solar cells.…”

Section: Introductionmentioning

confidence: 99%

Predictive Modeling of Dye Solar Cell Degradation

Poskela¹,

Tiihonen

Palonen³

et al. 2022

Solar RRL

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Degradation of dye solar cell performance based on the early changes in electrolyte color is predicted, allowing to estimate the lifetime of the dye solar cells even before their efficiency declines. Previous predictive models commonly rely on regression analysis of the predicted parameter; thus, they are unable to capture degradation before a significant decrease in performance. Degradation tests, even when accelerated, may take thousands of hours. As such, recognizing degradation trends early can lead to rewarding cuts in the duration of solar cell development pipelines. With accurate lifetime predictions, researchers can steer materials research to reach longer lifetimes in shorter cycles. The predictive power of our model relies on color changes in the electrolyte that directly correlate with the concentration of tri‐iodide charge carriers within it, the loss of which is the predominant degradation mechanism for most liquid‐electrolyte dye solar cells. By linking the physical mechanisms inside the cell, which eventually start to degrade the performance of dye solar cells, an early prediction of the lifetime can be made even when the device performance still appears stable. It is exemplified with dye solar cells that integrating architecture‐specific knowledge on degradation mechanisms has potential to improve lifetime predictions for photovoltaics.

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“…Our previous works focused on reviewing and modeling degradation modes of PV panels [1,2]. PV panels are subject to PID (Potential Induced Degradation), LID (Light Induced Degradation), UVD (UltraViolet Degradation), MID (Moisture Induced Degradation), and cell cracks.…”

Section: Introductionmentioning

confidence: 99%

Investigating a New Operating Point for PV Panels Seeking Maximum Life Span

Nehme

M'Sirdi

Akiki

2017

2017 IEEE 44th Photovoltaic Specialist Conference (PVSC)

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In this paper we try to control the operation mode of PV panels to achieve a higher lifespan. In fact, PV panels are subject to several degradation modes: Potential Induced Degradation, Light Induced Degradation, UltraViolet Degradation, Moisture Induced Degradation, and cell cracks. The common factor that affects all the above degradation modes is temperature. In fact high temperatures lead to higher degradation process. In this paper we present an enhanced thermal model of PV panels. We simulate its behavior as a function of its operation. We define a new operating point to achieve a higher lifespan.Index Terms -degradation modes, temperature effect, thermal model, joule effect.

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Contribution to the Modeling of Ageing Effects in PV Cells and Modules

Cited by 18 publications

References 4 publications

Assessing the Effect of Temperature on Degradation Modes of PV Panels

Assessing the Effect of Temperature on Degradation Modes of PV Panels

Predictive Modeling of Dye Solar Cell Degradation

Investigating a New Operating Point for PV Panels Seeking Maximum Life Span

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