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ANSYS-Fluent numerical modeling of the solar thermal and hybrid photovoltaic-based solar harvesting systems

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Abstract

The rapid increase in computing power has facilitated the use of computational fluid dynamics (CFD) as an attractive tool for simulating solar systems. As a result, researchers have conducted numerous experimental and numerical studies on solar technologies, with an increasing emphasis on the utilization of CFD for simulation purposes. Hence, this article is intended to be the first of a two-part assessment of recent improvements in the use of ANSYS-Fluent CFD simulation in solar systems. In this part, the article aims to provide a comprehensive overview of CFD simulations, using ANSYS-Fluent, for different solar systems without concentrators, including solar thermal systems, hybrid photovoltaic/thermal (PV/T) systems, and photovoltaic/phase change material (PV/PCM) systems, while the concentrating solar systems are covered in the second part. Further, this review study includes informative data about the simulations, including the considered assumptions, models, and solution methods that were used with different cooling fluids, PCM materials, absorber designs, and innovative system designs. The present assessment also highlights the results and some remarks that show different important additional information such as the applied radiation and melting/solidification models. Besides, validation techniques and errors between the experimental work and simulations are introduced. In general, the ANSYS-Fluent CFD results were validated and it was possible to optimize many design parameters with minimal effort and expense. Recent research indicated that nanofluids could be a better alternative to conventional fluids to improve the thermal functionality of flat plate and hybrid PV/T systems. Effective cooling mechanisms could reduce PV panel temperature by 15–20%. Besides, integrating PCM with PV systems could enhance efficiency by 33–46% on summer days. Incorporating different nanomaterials and using fined PV/PCM configurations, the PV/PCM system demonstrated improved cost-effectiveness, while a foam layer outside the PCM could extend PV thermal management time by 55%. Many other conclusions about the commonly used physical models, solution methods, and assumptions dealing with different systems are highlighted inside. The article also identifies additional research proposals and challenges that must be addressed to advance the study of this topic.

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Abbreviations

2D:

Two dimensional

3D:

Three dimensional

Ag :

Silver

AG:

Air gap

Al2O3 :

Aluminum oxide

BCs:

Boundary conditions

CaCl2·6H2O:

Calcium chloride hexahydrate

CFD:

Computational fluid dynamics

COP:

Coefficient of performance

C&D:

Convection and diffusion

CPV/T:

Concentrated hybrid photovoltaic/thermal

CuO:

Copper oxide

DAG:

Double air gap

DO:

Discrete ordinate

EN:

Energy

EVA:

Ethylene-vinyl acetate

Fe3Cl2·6H2O:

Ferric chloride hexahydrate

FPCs:

Flat plate solar collectors

GaAs:

Gallium arsenide

GaInp:

Gallium indium phosphide

HS:

Heat surface

HT:

Heat transfer

HTF:

Heat transfer fluid

HYB:

Hyderabad city

InGaAs:

Indium gallium arsenide

InGaP:

Indium gallium phosphide

I s :

Solar radiation

JCB:

Jacobabad city

LCPVT:

Low-concentration photovoltaic thermal

LPM:

Liters per minute

MAPE:

Mean absolute percentage error

MEPCM:

Microencapsulated phase change material

MOM:

Momentum

MPK:

Mirpurkhas city

NPCM:

Nano-enhanced PCMs

NWB:

Nawabshah city

PCM:

Phase change materials

PMMA:

Polymethyl methacrylate

PV/PCM:

Hybrid photovoltaic/phase change material

P–V:

Pressure–velocity

PV/T:

Hybrid photovoltaic/thermal

Q-SS:

Quasi steady-state

RAD:

Radiation

RMSD:

Root mean square deviation

RMSE:

Root mean square error

S2S:

Surface to surface

SAG:

Single air gap

SC:

Solar chimney

SCV:

Solar chimney ventilator

SiO2 :

Silicon dioxide

SRT:

Solar ray tracing

SS:

Steady-state

SWHs:

Solar water heaters

T :

Temperature

T a :

Ambient temperature

TC:

Thermal conductivity

TEG:

Thermoelectric generator

TKE:

Turbulent Kinetic Energy

TR:

Transient

TURB:

Turbulent

VG:

Vacuum glazing

VISC:

Viscosity

ZnO:

Zinc oxide

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Authors and Affiliations

  1. Interdisciplinary Research Center for Renewable Energy and Power Systems (IRC-REPS), King Fahd University of Petroleum and Minerals, 31261, Dhahran, Saudi Arabia

    A. S. Abdelrazik

  2. Mechanical Power Engineering Department, Faculty of Engineering, Tanta University, Tanta, 31521, Egypt

    Ahmed Osama

  3. Mechanical Power Engineering and Energy Department, Faculty of Engineering, Minia University, Minia, 61519, Egypt

    Abdelwahab N. Allam

  4. Renewable Energy Engineering Department, Faculty of Engineering, Al Al-Bayt University, Mafraq, Jordan

    Bashar Shboul

  5. Mechanical Engineering Department, Faculty of Engineering Shoubra, Benha University, Benha, Egypt

    M. A. Sharafeldin

  6. Department of Mechanical Power Engineering, Faculty of Engineering, Assiut University, Assiut, 71516, Egypt

    Mohamed Elwardany

  7. Department of Physics, Kafr El-Sheikh University, Kafr-El Sheikh, Egypt

    A. M. Masoud

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  1. A. S. Abdelrazik
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Abdelrazik, A.S., Osama, A., Allam, A.N. et al. ANSYS-Fluent numerical modeling of the solar thermal and hybrid photovoltaic-based solar harvesting systems. J Therm Anal Calorim 148, 11373–11424 (2023). https://doi.org/10.1007/s10973-023-12509-2

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