LAPSE:2023.7856
Published Article
LAPSE:2023.7856
Application of Artificial Intelligence to Improve the Thermal Energy and Exergy of Nanofluid-Based PV Thermal/Nano-Enhanced Phase Change Material
Enas Taha Sayed, Hegazy Rezk, Abdul Ghani Olabi, Mohamed R. Gomaa, Yahia B. Hassan, Shek Mohammad Atiqure Rahman, Sheikh Khaleduzzaman Shah, Mohammad Ali Abdelkareem
February 24, 2023
Photovoltaic-thermal (PVT) technologies have demonstrated several attractive features, such as higher power and comparative efficiencies. Improving the thermal recovery from the PVT system would further improve the power output and the efficiency of the PVT system. This paper identifies the best operating factors of nanofluid-based PV thermal/nano-enhanced phase change material using artificial intelligence. The target is the maximization of thermal energy and exergy outputs. The suggested approach combines ANFIS modelling and particle swarm optimization (PSO). Four operating factors are taken into consideration: PCM (phase change material) layer thickness, HTF (heat transfer fluid) mass flow rate, MFNPCM (“mass fraction of nanoparticles in PCM”) and MFNfluid (“mass fraction of nanoparticles in nanofluid”). Using a dataset, an “adaptive neuro-fuzzy inference system” (ANFIS) model has been established for simulating the thermal energy and exergy outputs in terms of the mentioned operating factors. Then, using PSO, the best values of PCM thickness, mass flow rate, MFNPCM and MFNfluid are estimated. The proposed model’s accuracy was examined by comparing the results with those obtained by response surface methodology and the experimental dataset.
Keywords
Exergy, Modelling, nanofluid, Optimization, phase change material, photovoltaic thermal (PVT), thermal energy
Subject
Suggested Citation
Sayed ET, Rezk H, Olabi AG, Gomaa MR, Hassan YB, Rahman SMA, Shah SK, Abdelkareem MA. Application of Artificial Intelligence to Improve the Thermal Energy and Exergy of Nanofluid-Based PV Thermal/Nano-Enhanced Phase Change Material. (2023). LAPSE:2023.7856
Author Affiliations
Sayed ET: Center for Advanced Materials Research, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates; Chemical Engineering Department, Faculty of Engineering, Minia University, Minya 61519, Egypt
Rezk H: Department of Electrical Engineering, College of Engineering in Wadi Alddawasir, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia [ORCID]
Olabi AG: Center for Advanced Materials Research, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates; Sustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates; Mechanical Engineer
Gomaa MR: Mechanical Engineering Department, Faculty of Engineering, Al-Hussein Bin Talal University, Ma’an 71111, Jordan [ORCID]
Hassan YB: Electrical Engineering Department, Higher Institute of Engineering, Minia 61519, Egypt
Rahman SMA: Sustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates [ORCID]
Shah SK: Renewable Energy and Energy Efficiency Group, Department of Infrastructure Engineering, Faculty of Engineering and Information Technology, The University of Melbourne, Parkville, VIC 3010, Australia
Abdelkareem MA: Center for Advanced Materials Research, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates; Chemical Engineering Department, Faculty of Engineering, Minia University, Minya 61519, Egypt; Sustainable Energy & Power Systems Research Centre, [ORCID]
Journal Name
Energies
Volume
15
Issue
22
First Page
8494
Year
2022
Publication Date
2022-11-14
Published Version
ISSN
1996-1073
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Original Submission
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PII: en15228494, Publication Type: Journal Article
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LAPSE:2023.7856
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doi:10.3390/en15228494
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Feb 24, 2023
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