Thermal–electrical model for energy estimation of a water cooled photovoltaic module

Spertino, Filippo; D’Angola, A.; Enescu, Diana; Leo, Paolo Di; Fracastoro, Giovanni Vincenzo; Zaffina, Renato

doi:10.1016/j.solener.2016.03.055

Cited by 43 publications

(32 citation statements)

References 50 publications

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“…For instance, at V = V mpp , Equation (8) leads to R p_model = R p_mpp as w 1 = 0. On the other hand, the movement of V towards I sc increases, and the weight of R p_Est increases, which makes the value of R p_model higher.…”

Section: Estimation Of R P Valuementioning

confidence: 99%

“…Equation (8) implies that when V = 0, R p_model becomes 0.5 × (R p_Est + R p_mpp ), which gives an initial clue that R p_Est should be significantly higher than R p_mpp in order to settle a much higher R p_model . Since R p_mpp ≈ 60 Ω is known quantity from (6), the R p_Est is estimated with integral multiples of R p_mpp , i.e., 120 Ω, 240 Ω, 360 Ω, 480 Ω, 600 Ω, 720 Ω, and 1080 Ω.…”

Section: Estimation Of R P Valuementioning

confidence: 99%

“…Since R p_mpp ≈ 60 Ω is known quantity from (6), the R p_Est is estimated with integral multiples of R p_mpp , i.e., 120 Ω, 240 Ω, 360 Ω, 480 Ω, 600 Ω, 720 Ω, and 1080 Ω. Using these values of R p_Est , the corresponding R p_model values are calculated from (8), and I-V curves are sketched from (1).…”

Section: Estimation Of R P Valuementioning

confidence: 99%

“…The thermal voltage (V T ) of the module is equal to N ss × nkT/q, in which N ss represents the number of series connected cells in a module, q is the electron charge (1.60217646 × 10 −19 C), and k is the Boltzmann constant (1.3806503 × 10 −23 J/K), while n states the diode ideality factor. The fundamental relation (1) of the single-diode model demands five parameters to be evaluated [7,8], in which the introduction of R s and R p resistances transforms the ideal model into a practical model. Naturally, correct and sound estimations of these parameters are vital to match the behavior of the practical PV modules.…”

Section: Introductionmentioning

confidence: 99%

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Variable Parameters for a Single Exponential Model of Photovoltaic Modules in Crystalline-Silicon

et al. 2018

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Abstract:The correct approximation of parallel resistance (R p ) and series resistance (R s ) poses a major challenge for the single diode model of the photovoltaic module (PV). The bottleneck behind the limited accuracy of the model is the static estimation of resistive parameters. This means that R p and R s, once estimated, usually remain constant for the entire operating range of the same weather condition, as well as for other conditions. Another contributing factor is the availability of only standard test condition (STC) data in the manufacturer's datasheet. This paper proposes a single-diode model with dynamic relations of R p and R s . The relations not only vary the resistive parameters for constant/distinct weather conditions but also provide a non-iterative solution. Initially, appropriate software is used to extract the data of current-voltage (I-V) curves from the manufacturer's datasheet. By using these raw data and simple statistical concepts, the relations for R p and R s are designed. Finally, it is proved through root mean square error (RMSE) analysis that the proposed model holds a one-tenth advantage over numerous recently proposed models. Simultaneously, it is low complex, iteration-free (0 to voltage in maximum power point V mpp range), and requires less computation time to trace the I-V curve.

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Section: Estimation Of R P Valuementioning

confidence: 99%

Section: Estimation Of R P Valuementioning

confidence: 99%

Section: Estimation Of R P Valuementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Variable Parameters for a Single Exponential Model of Photovoltaic Modules in Crystalline-Silicon

et al. 2018

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“…Good agreement was observed between simulation and experimental results. A prototype of mono-crystalline silicon module had been experimented to consider the effect of using water-cooling on performance by Spertino et al [13]. Also using a low weight plastic-laminated sandwich instead of glass was tested.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Liquid-Cooled Photovoltaic System Using Numerical Method

Khanjari¹,

Kasaeian²,

Pourfayaz³

et al. 2016

Adv. Sci. Technol. Res. J.

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The purpose of present study is establishing a simulation model to consider the performance of a water photovoltaic thermal system (PV/T) via the computational fluid dynamics method (CFD). The proposed model includes a water riser tube and an absorber plate to consider the conduction and convection heat transfer mechanisms. The simulation procee was carried out in the ANSYS FLUENT software. The effects of two different parameters on the efficiency and performance of the system were investigated numercically. The performance of the PV/T system versus the changes on the absorbed radiation on the plate and the inlet fluid temperature were analyzed. The temperature distribiution of different sections of the system was obtained. For validation of the presented method, a comparison study was carried out with the experimental results in the literature; satisfactory convergences were found between the measured data and the experimental results.

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Reducing energy costs and CO2 emissions by production system energy flexibility through the integration of renewable energy

Materi

D’Angola

Enescu

et al. 2021

Prod. Eng. Res. Devel.

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In recent years, the production of renewable energy has increased continuously to reduce fossil fuel consumption and CO2 emissions and to increase energy efficiency. The challenge of industries is to integrate renewable energy systems into the existing power system of manufacturing industries. In the energy flexibility approach, the manufacturing energy demand is aligned with renewable energy availability, to improve the use of the renewable energy source. This paper aims to investigate a manufacturing system supplied by a photovoltaic plant coupled with a battery storage system. A basic storage model has been developed and implemented to pursue this issue. The model is applied in the simplified case of a manufacturing system composed of a cutting numerical control machine, which can adapt the cutting speed to align the power needed to the power supplied by the photovoltaic plant. However, the model can be extended to realistic production cases characterized by complex systems as long as the time evolution of energy consumptions are known in detail. The introduction of battery storage allows reducing the cutting speed fluctuations, improving the cutting life derived from the fatigue effect. This solution reduces the costs of the machine and improves the forecasting of the means needed for the manufacturing system. Finally, a detailed analysis of greenhouse gas reduction is discussed.

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Thermal–electrical model for energy estimation of a water cooled photovoltaic module

Cited by 43 publications

References 50 publications

Variable Parameters for a Single Exponential Model of Photovoltaic Modules in Crystalline-Silicon

Variable Parameters for a Single Exponential Model of Photovoltaic Modules in Crystalline-Silicon

Performance Evaluation of Liquid-Cooled Photovoltaic System Using Numerical Method

Reducing energy costs and CO2 emissions by production system energy flexibility through the integration of renewable energy

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