2021
DOI: 10.3390/app11157064
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Proposed Models to Improve Predicting the Operating Temperature of Different Photovoltaic Module Technologies under Various Climatic Conditions

Abstract: The operating temperature is an essential parameter determining the performance of a photovoltaic (PV) module. Moreover, the estimation of the temperature in the absence of measurements is very complex, especially for outdoor conditions. Fortunately, several models with and without wind speed have been proposed to predict the outdoor operating temperature of a PV module. However, a problem for these models is that their accuracy decreases when the sampling interval is smaller due to the thermal inertia of the … Show more

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Cited by 13 publications
(9 citation statements)
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“…According to the PV panel data sheet [43], in this scenario, the t NOCT should be 45 ± 2 • C, while the operating temperature from simulation was 47.16 • C. Taking into account the good matching between results and expectation, further validation was conducted. Therefore, by comparing the results from modelling with those obtained by using the acknowledged Equation (1) [14,47], the following variation of the operating temperature was obtained (Figure 6).…”
Section: Noct Calibrationmentioning
confidence: 99%
See 1 more Smart Citation
“…According to the PV panel data sheet [43], in this scenario, the t NOCT should be 45 ± 2 • C, while the operating temperature from simulation was 47.16 • C. Taking into account the good matching between results and expectation, further validation was conducted. Therefore, by comparing the results from modelling with those obtained by using the acknowledged Equation (1) [14,47], the following variation of the operating temperature was obtained (Figure 6).…”
Section: Noct Calibrationmentioning
confidence: 99%
“…Taking into account the good matching between results and expectation, further validation was conducted. Therefore, by comparing the results from modelling with those obtained by using the acknowledged Equation (1) [14,47], the following variation of the operating temperature was obtained (Figure 6).…”
Section: Noct Calibrationmentioning
confidence: 99%
“…The re-engineering of empirical solar power generation models is advocated by the introduction of explicit power generation models; by introducing double linear correlation (Schwingshackl et al [ 16 ], Mattei et al [ 17 ], Olukan & Emziane [ 18 ], Nguyen et al [ 19 ], Barykina & Hammer [ 20 ], Brito et al [ 21 ], Sarniak [ 4 ], Ayaz et al [ 22 ], Agyekum et al [ 23 ], Akhsassi et al [ 24 ], Kaldellis et al [ 25 ], Abe et al [ 26 ], Zouine et al [ 27 ], Muneeshwaran et al [ 28 ], Kalogirou [ 29 ], Cotfas et al [ 30 ]); in retrospect, Schwingshackl et al [ 16 ] demonstrated that incorporating wind data into the SPGMBCT models improves the prediction of cell temperature compared to standard methods. In the same manner, Mattei et al [ 17 ], observed that the cell temperature model based on the thermal properties in lieu of wind speed or irradiance is weak in predicting cell temperature.…”
Section: Introductionmentioning
confidence: 99%
“…Pertinently, Olukan & Emziane [ 18 ] modified the SPGMBCT model without the wind speed; however, they recorded a good prediction of cell temperature. Outstandingly, Nguyen et al [ 19 ] modified the SPGMBCT model with wind speed, thermal inertia (thermal diffusivity) and irradiance to obtain a better prediction of cell temperature. In the same vein, Barykina & Hammer [ 20 ] applied the Faiman model/parameters to achieve a better prediction of cell temperature relative to the standard model.…”
Section: Introductionmentioning
confidence: 99%
“…Several works were aimed at renewable energies, such as Damota et al [1,2], who analyzed a vertical axis wind turbine Savonius type with CFD (computational fluid dynamics). Nguyen et al [3] developed two models to improve the precision of estimating the operating temperature of outdoor photovoltaic modules. Shen et al [4] conducted experimental tests and numerical calculations to analyze the hydraulic vibration and possible exciting sources of analysis in a hydropower system.…”
mentioning
confidence: 99%