Numerical and experimental approach for evaluation of thermal performances of a polymer solar collector

Filipović, Petar; Dović, Damir; Ranilović, Borjan; Horvat, Ivan

doi:10.1016/j.rser.2019.05.023

Cited by 40 publications

(15 citation statements)

References 33 publications

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“…The properties of the different materials and the dimensions of layers used in the model are borrowed from the studies of Hosseinzadeh et al, [7], Fayaz et al, [35], and Filipović et al, [36] are shown in Table 2 and Table 3, respectively. The properties of insulation material are absent from the study.…”

Section: Methodsmentioning

confidence: 99%

A Simulation Study on Temperature Uniformity of Photovoltaic Thermal Using Computational Fluid Dynamics

Rosli

Latif

Nawam

et al. 2021

ARFMTS

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The temperature distribution across the photovoltaic (PV) module in most cases is not uniform, leading to regions of hotspots. The cells in these regions perform less efficiently, leading to an overall lower PV module efficiency. They can also be permanently damaged due to high thermal stresses. To enable the high-efficiency operation and a longer lifetime of the PV module, the temperatures must not fluctuate wildly across the PV module. In this study, a custom absorber is designed based on literature to provide a more even temperature distribution across the PV module. This design is two standard sets of spiral absorbers connected. This design is relatively less complicated for this reason and it allows room for adjusting the pipe spacing without much complication. The absorber design is tested via computational fluid dynamics (CFD) simulation using ANSYS Fluent 19.2, and the simulation model is validated by an experimental study with the highest percentage error of 9.44%. The custom and the serpentine absorber utilized in the experiment are simulated under the same operating conditions having water as the working fluid. The custom absorber design is found to have a more uniform temperature distribution on more areas of the PV module as compared to the absorber design utilized in the experiment, which leads to a lower average surface temperature of the PV module. This results in an increase in thermal and electrical efficiency of the PV module by 3.21% and 0.65%, respectively.

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Section: Methodsmentioning

confidence: 99%

A Simulation Study on Temperature Uniformity of Photovoltaic Thermal Using Computational Fluid Dynamics

Rosli

Latif

Nawam

et al. 2021

ARFMTS

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show abstract

“…But, in the active water freshener device, the sun's irradiation and a supplementary device like a fan, pump, solar collector, solar tracking system, or any other such device are employed for evaporation. To improve the productivity of the water freshener devices, many researchers have conducted studies in this regard . Some of these studies have concentrated on the selection of the best working parameters of solar freshener devices.…”

Section: Introductionmentioning

confidence: 99%

Experimental evaluation of solar still efficiencies as a basic step in treatment of wastewater

Taherizadeh

Farahbod

Ilkhani

2019

Heat Trans. Asian Res.

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The present study investigates a unit for making use of freshwater in a kiln in a practical manner. At first, in this unit, the saline wastewater flowing out of the MED unit in Mobin Petrochemical Complex enters a gravitational bed and is subjected to preliminary treatment. In the next stage, the same saline wastewater enters the first pretreatment reactor for undergoing a coagulation procedure; then, it enters a second biological reactor for undergoing both coagulation and biological treatment. Afterwards, the output current of the biological reactor enters a solar pond for the separation of the dissolved salt in the wastewater, for which, it enters an antiseptic system that uses ultraviolet (UV) for treatment. Finally, the saline wastewater is transformed into a soft treated current. In the present study, the performance of a solar condensation unit installed on the path of the output wastewater of the UV antiseptic unit has been examined. In this study, the thermal output, conduction output, and freshwater production output have been altogether subjected to practical evaluation.The results offered herein are indicative of the relative error rates equal to about 7.2% and 4.9% for thermal output of day and night, respectively. Moreover, the conduction efficiency relative errors have been about 7% and 5.6% for day and night, respectively. In addition, on average, the relative cumulative error of the thermal energy storage substrate's output was about 3.5% per day over a month. K E Y W O R D Sconduction efficiency, production rate, solar-powered desalination unit, thermal output, wastewater treatment

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“…The schematic diagram of the numerical setup is presented in the Figure 1. In numerical simulation, the solar radiation that falls on the glass and PV panel is modelled directly using heat flux [16]. This is because solar load model does not account for heat gains for opaque surface [17].…”

Section: Numerical Setupmentioning

confidence: 99%

Validation Study of Photovoltaic Thermal Nanofluid Based Coolant Using Computational Fluid Dynamics Approach

Rosli

Loon

Nawam

et al. 2021

CFDL

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In the study, the photovoltaic thermal system using nanofluid as coolant is validated using numerical approach by comparing the experimental results and simulation results. Due to high cost and difficulty in preparing nanofluid, it is more practical to perform the study using numerical approach which is convenient and saves plenty of time. The photovoltaic thermal system is investigated numerically through Computational Fluid Dynamics Approach using Ansys 19.0 Fluent Software. The numerical study is based on different solar irradiation at different hours. The coolant that is selected in the study is aluminum oxide () water nanofluid. The validation study between the experimental results and simulation results are achieved by examining the photovoltaic (PV) surface temperature and nanofluid outlet temperature. The maximum percentage of error between experimental and simulation results of PV surface temperature and nanofluid outlet temperature are 12.66% and 7.89%. Also, the mean average percentage error (MAPE) are computed for PV surface temperature and nanofluid outlet temperature. The results for PV surface temperature and nanofluid outlet temperature are 10.31% and 6.67%. Since the MAPE results are within 10% or error, it proved that there is good accuracy between the simulation and experimental results.

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Numerical and experimental approach for evaluation of thermal performances of a polymer solar collector

Cited by 40 publications

References 33 publications

A Simulation Study on Temperature Uniformity of Photovoltaic Thermal Using Computational Fluid Dynamics

A Simulation Study on Temperature Uniformity of Photovoltaic Thermal Using Computational Fluid Dynamics

Experimental evaluation of solar still efficiencies as a basic step in treatment of wastewater

Validation Study of Photovoltaic Thermal Nanofluid Based Coolant Using Computational Fluid Dynamics Approach

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