A numerical investigation on optimization of PV/T systems with the field synergy theory

Shen, Chao; Zhang, Yingbo; Zhang, Chunxiao; Pu, Jihong; Wei, Shen; Dong, Yachao

doi:10.1016/j.applthermaleng.2020.116381

Cited by 34 publications

(7 citation statements)

References 36 publications

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“…Three dimensional simulations have been applied and symmetric conditions have been utilized and one duct has been simulated to reduce the computing price. The flow of hybrid nanofluid must be simulated based on below equations 34 : …”

Section: The Description Of Pvt-teg System and Governing Equationsmentioning

confidence: 99%

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Hybrid nanofluid flow within cooling tube of photovoltaic-thermoelectric solar unit

Khalili

Sheikholeslami

Momayez

2023

Sci Rep

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In this work, the thermoelectric generator (TEG) layer has been combined with conventional layers of photovoltaic-thermal (PVT) modules to use the waste heat and increase the efficiency. To reduce the cell temperature, there exists a cooling duct in the bottom of the PVT-TEG unit. Type of fluid within the duct and structure of duct can change the performance of the system. So, hybrid nanofluid (mixture of Fe3O4 and MWCNT with water) has been replaced instead of pure water and three various configurations of cross section [STR1 (circular), STR2 (rhombus), STR3 (elliptic)] have been implemented. Through the tube incompressible laminar flow of hybrid nanofluid has been solved while in solid layers of panel, pure conduction equation has been simulated involving heat sources resulting from optical analysis. According to simulations, the third structure (elliptic) has the best performance and rise of inlet velocity causes overall performance to enhance about 6.29%. The values of thermal and electrical performances for elliptic design with equal fractions of nanoparticles are 14.56% and 55.42%, respectively. With the best design, electrical efficiency improves about 16.2% in comparison with an uncooled system.

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Section: The Description Of Pvt-teg System and Governing Equationsmentioning

confidence: 99%

“…For simulating the various layers which have been shown in Fig. 1 , below equation should be solved 34 : …”

Section: The Description Of Pvt-teg System and Governing Equationsmentioning

confidence: 99%

Hybrid nanofluid flow within cooling tube of photovoltaic-thermoelectric solar unit

Khalili

Sheikholeslami

Momayez

2023

Sci Rep

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“…The external wind speeds are considered to be 0 and 3 m/s, causing convection coefficient values of 2.8 and 11.8 W/m 2 . K, respectively [13]. To verify the validity of the current model, a comparison is made between its predictions and the experimental results presented in [34].…”

Section: Numerical Modelmentioning

confidence: 99%

“…The arc cross-sectional channels achieved ηt of 65.95%. Moreover, corrugated channels with shark dorsal shape and V-shape in the PVT module were investigated [13]. This system reached a maximum ηt of 10.5%.…”

Section: Introductionmentioning

confidence: 99%

A novel FFNN-AHO hybrid predictive model for enhancing the performance of jet-cooled PVT system

Essa,

Rashad,

Hatata

2024

IJEECS

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Photovoltaic-thermal (PVT) systems are common in the conversion of solar energy to electrical and thermal energy. The performance of such systems depends on the environmental conditions in which these systems are applied. This paper presents a parametric study of a jet-cooling PVT system with a staggered distribution of the jets. A feedforward neural network (FFNN) is proposed as a novel predictive model for analyzing the characteristics of the PVT system and its thermal and electrical performance. Moreover, a novel optimization algorithm called archerfish hunting optimizer (AHO) is applied to obtain the optimal structure and elements of the proposed FFNN. The PVT system variables considered as inputs to the FFNN-AHO model are flow rate, wind speed, solar irradiance, and ambient temperature. The average temperature of the PV reaches a maximum of 45.84 ºC, and the maximum temperature un-uniformity reaches to 3.59 ºC. The studied PVT system achieved maximum electrical, thermal, and overall efficiencies of 14.23%, 54.43%, and 68.1%, respectively. Moreover, the results demonstrate that the FFNN-AHO hybrid model provides highly accurate PVT system performance prediction. The correlation coefficient between the actual and predicted data is close to 1, indicating a strong correlation and confirming the reliability and effectiveness of the FFNN-AHO model.

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“…The above discusses the influence of fluid on PV/T systems, however, the structural parameters of the flow channel can also have an important impact on PV/T systems. Shen 28 designed a pipe with a shark dorsal fin type based on the theory of field synergy between velocity and temperature, thereby enhancing the heat transfer performance of the fluid. Kianifard 29 designed a PV/T collector cooled by water using a serpentine semicircular pipe.…”

Section: Introductionmentioning

confidence: 99%

Numerical study on solar photovoltaic/thermal system with tesla valve

Du,

Zou,

Zheng

et al. 2024

Sci Rep

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In recent years, photovoltaic/thermal (PV/T) systems have played a crucial role in reducing energy consumption and environmental degradation, nonetheless, the low energy conversion efficiency presents a considerable obstacle for PV/T systems. Therefore, improving heat conversion efficiency is essential to enhance energy efficiency. In this paper, the PV/T system with the Tesla valve is proposed to solve this problem. Firstly, the cooling effect is simulated and analyzed in the system with four different flow channel structures: semicircle, rectangle, triangle and Tesla valve. The results indicate that the system with the Tesla valve exhibits superior cooling performance. Subsequently, several factors including angle, valve number, valve type, and pipe diameter ratio for the Tesla valve are further studied through numerical and simulation analysis. The results reveal that Tesla valves demonstrate optimal cooling performance when possessing the following structural parameters: complete symmetry, more valves, a 30-degree angle and a pipe diameter ratio of 1. Finally, four different types of fluid are selected to explore the Tesla valve. The conclusion shows that nanofluids with high density, low specific heat, and high thermal conductivity also improve the cooling performance. Thus, the PV/T system with the Tesla valve exhibits good heat dissipation and energy storage efficiency, electrical efficiency can reach 16.32% and thermal efficiency reach 59.65%.

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A numerical investigation on optimization of PV/T systems with the field synergy theory

Cited by 34 publications

References 36 publications

Hybrid nanofluid flow within cooling tube of photovoltaic-thermoelectric solar unit

Hybrid nanofluid flow within cooling tube of photovoltaic-thermoelectric solar unit

A novel FFNN-AHO hybrid predictive model for enhancing the performance of jet-cooled PVT system

Numerical study on solar photovoltaic/thermal system with tesla valve

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