A Comparative Analysis of PV Module Temperature Models

Olukan, Tuza; Emziane, Mahieddine

doi:10.1016/j.egypro.2014.12.433

Cited by 38 publications

(13 citation statements)

References 5 publications

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“…It has been widely reported in the literature that temperature affects the power output of PV systems inversely in which high temperatures reduce the PV cell’s voltage and consequently the power output of the PV system. ( Kaltschmitt et al, 2007 , Al-Badi et al, 2012 , Dubey et al, 2013 , Olukan and Emziane, 2014 , Adeeb et al, 2019 ). An increase in PV cell’s temperature by 1 °C can decrease the PV system’s power output by 0.5–0.6% ( Al-Badi et al, 2012 , Hajiah et al, 2012 , Kazem and Khatib, 2013 ).…”

Section: Resultsmentioning

confidence: 99%

Determination of the optimal solar photovoltaic (PV) system for Sudan

Fadlallah

Serradj

2020

Solar Energy

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Highlights Finding the optimal solar PV and the best locations for the utilization of solar energy in Sudan using HOMER. Investigating the costs and emissions that would be avoided using PV instead of diesel generators. Examining the effect of solar panel price on the project economics. The optimal solar PV was determined to be Studer VarioTrack VT-65 with generic PV. The optimal location for the employment of solar energy in Sudan is Wawa.

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Section: Resultsmentioning

confidence: 99%

Determination of the optimal solar photovoltaic (PV) system for Sudan

Fadlallah

Serradj

2020

Solar Energy

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“…Reference [46] proposed the following form for PV module efficiency depending on T m : 6was commonly used by different authors. Reference [35] has nominated some of them and some others who modified (6). One of the important modifications is that of Duffie and Beckman [35]: (8) where β V,OC and V mp,STC are the temperature coefficient of open-circuit voltage and maximum power voltage under STC, respectively.…”

Section: E Calculation Approaches For Pv Module Efficiencymentioning

confidence: 99%

“…Reference [35] has nominated some of them and some others who modified (6). One of the important modifications is that of Duffie and Beckman [35]: (8) where β V,OC and V mp,STC are the temperature coefficient of open-circuit voltage and maximum power voltage under STC, respectively. By multiplying (6) and 7by GA, where A is the module area, the corresponding equations for the output power P(T m ) become as:…”

Section: E Calculation Approaches For Pv Module Efficiencymentioning

confidence: 99%

Feasibility of Solar Tracking System for PV Panel in Sunbelt Region

Soulayman

Hamoud

Hababa

et al. 2021

Journal of Modern Power Systems and Clean Energy

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In the study of the feasibility of solar tracking systems for crystalline silicon photovoltaic (PV) panels in hot and cold regions, it is argued recently that a tracking system is not necessary for sunbelt countries owing to the overheating that results from excessive exposure to solar irradiance. This conclusion has been formulated based on a mathematical model, which in turn is based on the assumption that the PV module temperature can be calculated using an empirical relation of this temperature to ambient temperature, available solar irradiance, and nominal operation cell temperature (NOCT). To support this conclusion, it is claimed that the mathematical model is validated experimentally. However, this assumption is vague and widely used in the literature. The objective of the present work is to reevaluate the above-mentioned assumption and to discuss the results deriving from it. It is shown experimentally in the present work that the above-mentioned assumption overestimates the PV module temperature. At a solar irradiance of 900 W/m 2 , ambient temperature of 25 ℃, and wind speed of 5 m/s, the measured PV module temperature is lower than the value calculated based on the mentioned assumption by 29.26%.

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“…Olukan and Emziane (2014) [20] developed a 3D thermal model to predict PV module temperatures under the environmental conditions in the UAE. This study used the finite element method (FEM) as the prediction method and solar radiation, ambient temperature, wind speed, and heat loss coefficient as the input data.…”

Section: Previous Models For the Prediction Of Pv Module Surface Tempmentioning

confidence: 99%

Development of a Predictive Model for a Photovoltaic Module’s Surface Temperature

et al. 2020

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PV (photovoltaic) systems are receiving the spotlight in Korea due to the Renewable Energy 3020 Implementation Plan (RE3020), which has the goal of reaching 20% for the proportion of renewable energy generation by 2030. Accordingly, the actual performance evaluation of PV systems to achieve the RE3020 has become more important. PV efficiency is mainly determined by various weather conditions (e.g., solar radiation) that affect the power generation of PV systems. However, the efficiency is also affected by changes in module surface temperature. In particular, the efficiency decreases when the module surface temperature rises. That is, the actual PV efficiency falls short of the rated efficiency. The estimation of module surface temperature is critical for evaluating the actual performance of PV systems. Many studies have been conducted to calculate the surface temperature. However, most of the previous studies focused on calculations of current surface temperatures using current environment data, which means that the previous studies have limitations related to timestep. That is, there is a lack of predictive models that calculate the future surface temperatures by using the current measured data. Therefore, this study developed a predictive model using an ANN (artificial neural network) algorithm to determine the surface temperature of PV modules for a future period of time. Then, this study evaluated the actual performance (i.e., power generation) with the predicted surface temperatures.

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A Comparative Analysis of PV Module Temperature Models

Cited by 38 publications

References 5 publications

Determination of the optimal solar photovoltaic (PV) system for Sudan

Determination of the optimal solar photovoltaic (PV) system for Sudan

Feasibility of Solar Tracking System for PV Panel in Sunbelt Region

Development of a Predictive Model for a Photovoltaic Module’s Surface Temperature

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