Markov process reliability model for photovoltaic module failures

Cristaldi, L.; Khalil, Mohamed; Faifer, Marco

doi:10.21014/acta_imeko.v6i4.428

Cited by 7 publications

(4 citation statements)

References 30 publications

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“…Regarding the test result, if ISC < IMP, it is not possible to have the maximum power dissipation inside the considered cell; nevertheless, this possibility is envisaged by IEC 61215-2 [10]. In this case, the PV module must be exposed to irradiance in the range 1000 ± 100 W/m 2 , for a duration between one and five hours, at a module temperature of 50 °C ± 10 °C, and with the selected cell fully darkened.…”

Section: A Simplified Procedures For the Hot Spot Endurance Testmentioning

confidence: 99%

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Thermographic and electrical characterization of a photovoltaic panel under partial shading conditions: a case study

et al. 2019

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Shading is one of the most critical factors that produces a reduction in power in photovoltaic (PV) modules. The main causes of shading are related to cloud cover; local specificity; natural characteristics; building and other civil works; and the presence of the PV system itself. A reduction in overall radiation produces a consequent reduction in electric power. Another more problematic effect is associated with the partial shading of the PV modules. The shaded cell behaves as a load, dissipating energy and increasing its temperature. This effect can involve irreversible changes to the PV module, with a decrease in performance that can even cause the destruction of the shaded cell.The main aim of this work is the development of a testing procedure for the performance evaluation of commercial PV modules in the presence of partial shading on one cell. Tests were carried out using thermographic and electric measurements and by varying the shading levels according to IEC standards. Shading up to total darkening is achieved by means of a number of filters that reduce the direct solar irradiance.As a case study, a complete characterisation of a 180 Wp polycrystalline PV module was performed according to the proposed testing procedure, showing that high temperatures can be measured on the shaded PV module surface even if only 50 % of the surface of one cell of the PV module is darkened.

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Section: A Simplified Procedures For the Hot Spot Endurance Testmentioning

confidence: 99%

“…It is important to underline that in many cases, PV systems are made with thousands of PV modules [10]. For this reason, it is practically impossible to monitor the presence of shaded cells continuously.…”

Section: Introductionmentioning

confidence: 99%

Thermographic and electrical characterization of a photovoltaic panel under partial shading conditions: a case study

et al. 2019

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“…Generally reliability could be assessed through different methods, such as Reliability prediction, Fault Tree Analysis , Reliability Block Diagram etc (see for instance [9]- [12]). Fault tree analysis (FTA) [13], [14] is an analytical and deductive (topdown) method.…”

Section: Introductionmentioning

confidence: 99%

Estimate the useful life for a heating, ventilation, and air conditioning system on a high-speed train using failure models

et al. 2021

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Heating, ventilation, and air conditioning (HVAC) is a widely used system used to guarantee an acceptable level of occupancy comfort, to maintain good indoor air quality, and to minimize system costs and energy requirements. If failure data coming from company database are not available, then a reliability prediction based on failure rate model and handbook data must be carried out. Performing a reliability prediction provides an awareness of potential equipment degradation during the equipment life cycle. Otherwise, if field data regarding the component failures are available, then classical reliability assessment techniques such as Fault Tree Analysis and Reliability Block Diagram should be carried out. Reliability prediction of mechanical components is a challenging task that must be carefully assessed during the design of a system. For these reasons, this paper deals with the reliability assessment of an HVAC using both failure rate model for mechanical components and field data. The reliability obtained using the field data is compared to the one achieved using the failure rate models in order to assess a model which includes all the mechanical parts. The study highlights how it is fundamental to analyze the reliability of complex system integrating both field data and mathematical model.

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“…Different factors influence the PV panel performance; some are related to the balance of system (subsystems) failure, such as PV inverter [3]. Others are regarding operation conditions, cell cracking problems due to wind or snow pressure, vibrations, and the dust that collects on the PV module, which causes a failure along its operating lifetime during a short lifetime [4]. The PV panels efficiency is significantly affected by the increase in the PV cells temperature that causes cell degradation and shorting of life expected of PV module with dropped output power [5].…”

Section: Introductionmentioning

confidence: 99%

Simulation study of the photovoltaic panel under different operation conditions

Alktranee

Bencs

2021

ACTA IMEKO

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An increase in the temperature of the photovoltaic (PV) cells is a significant issue in most PV panels application. About 15–20% of solar radiation is converted to electricity by PV panels, and the rest converts to heat that affects their efficiency. This paper studies the effects of temperature distribution on the PV panel at different solar radiation values, temperatures under different operation conditions in January and July. A 3D model of the PV panel was simulated with ANSYS software, depending on the various values of temperatures and solar radiation values obtained using mathematic equations. The simulation results indicate that PV panel temperature lowered with solar radiation values lower in January, and the temperature was homogeneous on the PV panel surface. An increase in the solar radiation value and temperature in July led causes heating of the PV panel with observed a convergence of the maximum and average temperature of the panel. Thus, the PV panel temperature increase is directly proportional to the solar radiation increase that causes lower performance. Cooling the PV panel by passive or active cooling represents the optimum option to enhance their performance and avoid increasing the PV cells' temperature at temperature increase.

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Markov process reliability model for photovoltaic module failures

Cited by 7 publications

References 30 publications

Thermographic and electrical characterization of a photovoltaic panel under partial shading conditions: a case study

Thermographic and electrical characterization of a photovoltaic panel under partial shading conditions: a case study

Estimate the useful life for a heating, ventilation, and air conditioning system on a high-speed train using failure models

Simulation study of the photovoltaic panel under different operation conditions

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