The impact of using a turbulator at the nanofluid flow inlet to cool a solar panel in the presence of phase change materials using artificial intelligence

Due to the importance of renewable energies in providing energy for the future of human beings, a simulation is performed in this paper on the nanofluid (NFD) flow inside a U-shaped tube placed under a solar panel (SPL). The tube is placed under the panel inside the enclosure containing phase change...

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Published in:Engineering Analysis with Boundary Elements
Main Author: Hai T.; Awad O.I.; Li S.; Zain J.M.; Bash A.A.H.K.
Format: Article
Language:English
Published: Elsevier Ltd 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152888073&doi=10.1016%2fj.enganabound.2023.03.025&partnerID=40&md5=2b15e139b813af25de5232448e97b27a
id 2-s2.0-85152888073
spelling 2-s2.0-85152888073
Hai T.; Awad O.I.; Li S.; Zain J.M.; Bash A.A.H.K.
The impact of using a turbulator at the nanofluid flow inlet to cool a solar panel in the presence of phase change materials using artificial intelligence
2023
Engineering Analysis with Boundary Elements
152

10.1016/j.enganabound.2023.03.025
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152888073&doi=10.1016%2fj.enganabound.2023.03.025&partnerID=40&md5=2b15e139b813af25de5232448e97b27a
Due to the importance of renewable energies in providing energy for the future of human beings, a simulation is performed in this paper on the nanofluid (NFD) flow inside a U-shaped tube placed under a solar panel (SPL). The tube is placed under the panel inside the enclosure containing phase change material (PCM). Alumina-water NFD and an organic PCM are used in this study. A turbulator (TBR) is utilized to improve the heat transfer (HTF) between the NFD flow and the SPL. This study is unsteady and is carried out at different Reynolds numbers (Res) to examine the effect of the TBR. The finite element method (FEM) is employed for the simulations and temperature-dependent relationships are used for the NFD flow. Finally, the best conditions are evaluated using artificial intelligence. The results of this study demonstrated that the use of a TBR causes the panel temperature (TPL) to reduce and the complete melting time of the PCM to enhance. The increment in Re entailed a reduction in the melting process of PCM and the TPL. The enhancement of Re increased the value of the HTF coefficient. Besides, the use of TBR enhanced the HTF coefficient. The minimum amounts of TPL and pressure drop correspond to the case when Re = 211 and the TBR is employed. © 2023
Elsevier Ltd
9557997
English
Article

author Hai T.; Awad O.I.; Li S.; Zain J.M.; Bash A.A.H.K.
spellingShingle Hai T.; Awad O.I.; Li S.; Zain J.M.; Bash A.A.H.K.
The impact of using a turbulator at the nanofluid flow inlet to cool a solar panel in the presence of phase change materials using artificial intelligence
author_facet Hai T.; Awad O.I.; Li S.; Zain J.M.; Bash A.A.H.K.
author_sort Hai T.; Awad O.I.; Li S.; Zain J.M.; Bash A.A.H.K.
title The impact of using a turbulator at the nanofluid flow inlet to cool a solar panel in the presence of phase change materials using artificial intelligence
title_short The impact of using a turbulator at the nanofluid flow inlet to cool a solar panel in the presence of phase change materials using artificial intelligence
title_full The impact of using a turbulator at the nanofluid flow inlet to cool a solar panel in the presence of phase change materials using artificial intelligence
title_fullStr The impact of using a turbulator at the nanofluid flow inlet to cool a solar panel in the presence of phase change materials using artificial intelligence
title_full_unstemmed The impact of using a turbulator at the nanofluid flow inlet to cool a solar panel in the presence of phase change materials using artificial intelligence
title_sort The impact of using a turbulator at the nanofluid flow inlet to cool a solar panel in the presence of phase change materials using artificial intelligence
publishDate 2023
container_title Engineering Analysis with Boundary Elements
container_volume 152
container_issue
doi_str_mv 10.1016/j.enganabound.2023.03.025
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152888073&doi=10.1016%2fj.enganabound.2023.03.025&partnerID=40&md5=2b15e139b813af25de5232448e97b27a
description Due to the importance of renewable energies in providing energy for the future of human beings, a simulation is performed in this paper on the nanofluid (NFD) flow inside a U-shaped tube placed under a solar panel (SPL). The tube is placed under the panel inside the enclosure containing phase change material (PCM). Alumina-water NFD and an organic PCM are used in this study. A turbulator (TBR) is utilized to improve the heat transfer (HTF) between the NFD flow and the SPL. This study is unsteady and is carried out at different Reynolds numbers (Res) to examine the effect of the TBR. The finite element method (FEM) is employed for the simulations and temperature-dependent relationships are used for the NFD flow. Finally, the best conditions are evaluated using artificial intelligence. The results of this study demonstrated that the use of a TBR causes the panel temperature (TPL) to reduce and the complete melting time of the PCM to enhance. The increment in Re entailed a reduction in the melting process of PCM and the TPL. The enhancement of Re increased the value of the HTF coefficient. Besides, the use of TBR enhanced the HTF coefficient. The minimum amounts of TPL and pressure drop correspond to the case when Re = 211 and the TBR is employed. © 2023
publisher Elsevier Ltd
issn 9557997
language English
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