Dynamic thermal modelling for the prediction of the operating temperature of a PV panel with an integrated cooling system

Osma-Pinto, Germán; Ordóñez-Plata, Gabriel

doi:10.1016/j.renene.2020.01.132

Cited by 34 publications

(7 citation statements)

References 53 publications

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“…Optical losses of the thermal model are presented as a function of the incidence angle of the Sun's rays, which is very important for fixed PV modules. The RMSE and MAE values for cloudy and overcast days are in the same range or even better compared to the results of other studies [10,22,30], while more significant deviations are observed in the case of sunny days due to measurement error. As described in Section 2.2, the calculation of the output power of the PV module is based on the double diode model.…”

Section: Discussionsupporting

confidence: 61%

“…In addition to validating the presented dynamic thermo-electric model, the importance of accuracy of measuring devices and optical losses is also included. Various authors [10,12,13,23,30] used constant values of optical losses in their models to determine the temperature distribution of fixed PV modules. Even though, in this paper measurements are performed on a dual-axis tracking system, the optical losses were calculated as a function of an incident angle of the Sun's rays, which is similar as in the following studies [31,32]).…”

Section: Aims and Specifics Of The Current Researchmentioning

confidence: 99%

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Experimental Validation of a Thermo-Electric Model of the Photovoltaic Module under Outdoor Conditions

et al. 2021

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An operating temperature of the photovoltaic (PV) module greatly affects performance and its lifetime. Therefore, it is essential to evaluate operating temperature of the photovoltaic module in different weather conditions and how it affects its performance. The primary objective of this paper is to present a dynamic thermo-electric model for determining the temperature and output power of the photovoltaic module. The presented model is validated with field measurement at the Institute of Energy Technology, Faculty of Energy Technology, University of Maribor, Slovenia. The presented model was compared with other models in different weather conditions, such as clear, cloudy and overcast. The evaluation was performed for the operating temperature and output power of the photovoltaic module using Root-Mean-Square-Error (RMSE) and Mean-Absolute-Error (MAE). The average RMSE and MAE values are 1.75 °C and 1.14 °C for the thermal part and 20.34 W and 10.97 W for the electrical part.

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Section: Discussionsupporting

confidence: 61%

Section: Aims and Specifics Of The Current Researchmentioning

confidence: 99%

Experimental Validation of a Thermo-Electric Model of the Photovoltaic Module under Outdoor Conditions

et al. 2021

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“…Measurement according to STC is a test at 1000 W/m 2 exposure at a cell temperature of 25°C and Air Mass radiation spectrum parameter -AM 1.5. The panel parameters may also be quoted using Normal Operating Cell Temperature (NOCT) [17,18]. These are the cell parameters obtained when temperature reached by open circuited cells in a module assuming 800 W/m² irradiance, 20°C ambient temperature and wind speed of 1m/s with the module at a tilt angle of 45°.…”

Section: Introductionmentioning

confidence: 99%

Micromorph and polymorphous solar panel in a warm temperature transitional climate - comparison of outdoor performance and simulations

Lewhíska¹,

Dyndal²,

Sanetra³

et al. 2021

REPQJ

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“…There are two types of methods to reduce the operating temperature of solar panels, passive methods [8] and active methods [9]. In passive methods, cooling strategies that do not consume electrical energy are used [10,11], whereas the active methods work with electrical energy [12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Computational Modeling of Passive and Active Cooling Methods to Improve PV Panels Efficiency

et al. 2021

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This paper presents the computational modeling of three cooling systems based on three different methods (passive, active, and hybrid), to improve the efficiency of PV panels when operating beyond the recommended temperature under standard test conditions. All simulations were implemented using the COMSOL Multiphysics software. In the passive method, through-holes were made in the solar panel, to allow the transfer of heat by convection due to the air flow. In the active method, water was used to cool the solar panel, spraying it on the front when the operating temperature reaches a threshold value. The analysis includes both fluid dynamics and heat transfer effects. In addition, a hybrid method that uses both passive and active cooling methods simultaneously was implemented. Finally, a mathematical model for the PV panel is presented, which allowed obtaining the changes in the output power from the reduction in the operating temperature. Results demonstrated improvements in the performance of the solar panel with the implementation of the three cooling systems, showing better performance in the active and hybrid methods compared to the passive method.

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Dynamic thermal modelling for the prediction of the operating temperature of a PV panel with an integrated cooling system

Cited by 34 publications

References 53 publications

Experimental Validation of a Thermo-Electric Model of the Photovoltaic Module under Outdoor Conditions

Experimental Validation of a Thermo-Electric Model of the Photovoltaic Module under Outdoor Conditions

Micromorph and polymorphous solar panel in a warm temperature transitional climate - comparison of outdoor performance and simulations

Computational Modeling of Passive and Active Cooling Methods to Improve PV Panels Efficiency

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