Using energy balance method to study the thermal behavior of PV panels under time-varying field conditions

Aly, Shahzada Pamir; Ahzi, Saı̈d; Barth, Nicolas; Abdallah, Amir

doi:10.1016/j.enconman.2018.09.007

Cited by 62 publications

(34 citation statements)

References 37 publications

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“…The PV energy balance can be represented as the difference between the incident energy and the electrically generated energy [20]. The heat energy can be exchanged between the top and bottom surfaces of the PV module and the surrounding media via three mechanisms: conduction, convection, and radiation [21,22]. The heat conduction mechanism can be neglected in normal situations since the frame structure that holds the PV module is in touch only with the thin sidewalls of the PV module, which has relatively small area.…”

Section: Thermal Sub-modelmentioning

confidence: 99%

Combined electro-thermal model for PV panels

Abdulrazzaq

Bognár

Plesz

2021

Pollack

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This paper presents a combined electro-thermal model to serve the aim of accurate output power prediction of photovoltaic systems, based on the concept of the thermal energy balance. The electrical sub-model is built based on fitting a surface to the current-voltage curves collected under wide range temperatures and irradiances. For this purpose, the current-voltage characteristic curves are reproduced using two different methods. The thermal sub-model considers all the effective heat transfer mechanisms to estimate the photovoltaic module junction temperature. The Newton-Raphson iterative method is used as a solving algorithm to calculate the photovoltaic junction temperature. The collected results prove the applicability of the model under a wide range of environmental conditions.

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Section: Thermal Sub-modelmentioning

confidence: 99%

Combined electro-thermal model for PV panels

Abdulrazzaq

Bognár

Plesz

2021

Pollack

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“…Figure 1 shows the basic structure of a typical PV module. The active semiconductor layer is consisting of several photovoltaic cells interconnected in series and parallel depending on the required output current and voltage levels.The active layer is encapsulated between two layers of, as a most often used material, ethylene-vinyl acetate (EVA) to bind the PV cells to the top and bottom layers and provide moisture resistance and electrical insulation [6,12]. Fundamentally, the glass layer is tempered (to increase the mechanical strength of the module), highly transparent, low iron content and has a textured upper-surface (to reduce the solar irradiance reflection and absorption losses).…”

Section: Physical Structures Of Pv Modulesmentioning

confidence: 99%

“…Many researchers treated temperature variation as a static function; hence, it is abruptly changing to reach a steady state. That is, neglecting the material thermal capacity effect and discarding the lag in temperature variation with respect to one or more of the affecting parameters [6]. Based on this concept, the main classification of the PV temperature modelling is whether it is a static (steady-state) [12,[15][16][17]22,25,27,28] or dynamic model [2,[5][6][7]18,[29][30][31][32][33].…”

Section: Classification Of Pv Modules Thermal Modelling Conceptsmentioning

confidence: 99%

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A Novel Method for Thermal Modelling of Photovoltaic Modules/Cells under Varying Environmental Conditions

2020

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Temperature has a significant effect on the photovoltaic module output power and mechanical properties. Measuring the temperature for such a stacked layers structure is impractical to be carried out, especially when we talk about a high number of modules in power plants. This paper introduces a novel thermal model to estimate the temperature of the embedded electronic junction in modules/cells as well as their front and back surface temperatures. The novelty of this paper can be realized through different aspects. First, the model includes a novel coefficient, which we define as the forced convection adjustment coefficient to imitate the module tilt angle effect on the forced convection heat transfer mechanism. Second, the new combination of effective sub-models found in literature producing a unique and reliable method for estimating the temperature of the PV modules/cells by incorporating the new coefficient. In addition, the paper presents a comprehensive review of the existing PV thermal sub-models and the determination expressions of the related parameters, which all have been tested to find the best combination. The heat balance equation has been employed to construct the thermal model. The validation phase shows that the estimation of the module temperature has significantly improved by introducing the novel forced convection adjustment coefficient. Measurements of polycrystalline and amorphous modules have been used to verify the proposed model. Multiple error indication parameters have been used to validate the model and verify it by comparing the obtained results to those reported in recent and most accurate literature.

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“…T pv = 0.943T a + 0.028I T − 1.528v w + 4.3 (4) Multiple regression analysis and numerical approaches have also been proposed with promising results [11,12]. Several theoretical models based on the Energy Balance Equation (EBE), both steady-state and transient have been developed, such as [13][14][15][16][17][18][19][20]. However, these make use of empirical models for the determination of the air-forced convection coefficient or other simplifications and assumptions, while the geometry of the PV modules with respect to the wind direction is neglected or only considered through existing empirical expressions for the windward or leeward side.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Electro-Thermal PV Temperature and Power Output Prediction Model for Any PV Geometries in Free-Standing and BIPV Systems Operating under Any Environmental Conditions

Kaplani

Kaplanis

2020

Energies

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PV temperature significantly affects the module’s power output and final system yield, and its accurate prediction can serve the forecasting of PV power output, smart grid operations, online PV diagnostics and dynamic predictive management of Building Integrated Photovoltaic (BIPV) systems. This paper presents a dynamic PV temperature prediction model based on transient Energy Balance Equations, incorporating theoretical expressions for all heat transfer processes, natural convection, forced convection, conduction and radiation exchanges between both module sides and the environment. The algorithmic approach predicts PV temperature at the centre of the cell, the back and the front glass cover with fast convergence and serves the PV power output prediction. The simulation model is robust, predicting PV temperature with high accuracy at any environmental conditions, PV inclination, orientation, wind speed and direction, and mounting configurations, free-standing and BIPV. These, alongside its theoretical basis, ensure the model’s wide applicability and clear advantage over existing PV temperature prediction models. The model is validated for a wide range of environmental conditions, PV geometries and mounting configurations with experimental data from a sun-tracking, a fixed angle PV and a BIPV system. The deviation between predicted and measured power output for the fixed-angle and the sun-tracking PV systems was estimated at −1.4% and 1.9%, respectively. The median of the temperature difference between predicted and measured values was as low as 0.5 °C for the sun-tracking system, and for all cases, the predicted temperature profiles were closely matching the measured profiles. The PV temperature and power output predicted by this model are compared to the results produced by other well-known PV temperature models, illustrating its high predictive capacity, accuracy and robustness.

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Using energy balance method to study the thermal behavior of PV panels under time-varying field conditions

Cited by 62 publications

References 37 publications

Combined electro-thermal model for PV panels

Combined electro-thermal model for PV panels

A Novel Method for Thermal Modelling of Photovoltaic Modules/Cells under Varying Environmental Conditions

Dynamic Electro-Thermal PV Temperature and Power Output Prediction Model for Any PV Geometries in Free-Standing and BIPV Systems Operating under Any Environmental Conditions

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