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Author:

Wang, Y. (Wang, Y..) | Quan, Z. (Quan, Z..) | Zhao, Y. (Zhao, Y..) | Wang, L. (Wang, L..) | Wang, Q. (Wang, Q..)

Indexed by:

EI Scopus SCIE

Abstract:

Phase-change thermal storage technologies are becoming increasingly indispensable in the field of renewable energy, and researchers have been striving to achieve high thermal storage performance in storage devices. To enhance the application potential of phase-change thermal storage units based on micro heat pipe arrays, theoretical analysis is applied to optimize the operating parameters and the fin structure, addressing the research gap caused by insufficient theoretical analysis. Therefore, an accurate thermal resistance network model is developed, and machine learning algorithms are employed for the multi-objective optimization of the fin structure. The optimal heights, widths, and thicknesses in two directions of the fins are 42.2, 3.7, 0.3, and 0.8 mm, respectively, resulting in a 15.8 % increase in charging power compared to the initial structure without increasing metal consumption. Additionally, it is recommended that the design flow rate be increased by 26 kg/h for each additional thermal storage unit connected in series. Finally, a phase-change thermal storage device is designed for a solar water heating system, and its applicability is simulated and analyzed. This study provides design guidance for this novel thermal storage device and promotes its application in the field of renewable energy. © 2024 Elsevier Ltd

Keyword:

Theoretical optimization Thermal resistance Multi-objective optimization Phase-change thermal storage Micro heat pipe array

Author Community:

  • [ 1 ] [Wang Y.]Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Quan Z.]Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Zhao Y.]Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Zhao Y.]Boyi New Energy Science and Technology Development Co., Ltd., Zibo, China
  • [ 5 ] [Wang L.]Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 6 ] [Wang Q.]Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, 100124, China

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Source :

Applied Thermal Engineering

ISSN: 1359-4311

Year: 2024

Volume: 252

6 . 4 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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