IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v225y2024ics096014812400394x.html
   My bibliography  Save this article

Multi-objective prediction and optimization of performance of three-layer latent heat storage unit based on intermittent charging and discharging strategies

Author

Listed:
  • Zhang, Chenyu
  • Ma, Zhenjun
  • Qu, Zhiguo
  • Xu, Hongtao

Abstract

An intermittent heat charging and discharging strategy is proposed for on-demand thermal utilization in a three-layer latent heat storage unit filled with nanoparticle-enhanced phase change materials. To optimize the utilization ratio of phase change materials, and the stored and released thermal exergy amounts, a multi-objective prediction and optimization methodology combining orthogonal experimental design, range and variance analyses, multi-nonlinear regression models, and non-dominated sorting genetic algorithm-II is introduced while considering the variables of nanoparticle concentration, heat transfer fluid velocity, and intermittent time interval. Results show that the time interval presents the most significant influence. Multi-nonlinear regression models for the above three variables are established with determination factors of 0.9871, 0.9625, and 0.9253, respectively. The ultimate optimal results are 0.8, 57094.03 J, and 43066.73 J, achieved at the three variables of 44.37 min, 0.38 m s−1 and 8.99%, respectively. The maximum verification error of 5.11% indicates the reliability of this methodology. The methodology aims to enhance the overall performance of the three-layer latent heat storage system by mitigating the constraints associated with single-performance optimization.

Suggested Citation

  • Zhang, Chenyu & Ma, Zhenjun & Qu, Zhiguo & Xu, Hongtao, 2024. "Multi-objective prediction and optimization of performance of three-layer latent heat storage unit based on intermittent charging and discharging strategies," Renewable Energy, Elsevier, vol. 225(C).
    • Handle: RePEc:eee:renene:v:225:y:2024:i:c:s096014812400394x
    DOI: 10.1016/j.renene.2024.120329
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014812400394X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2024.120329?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Huang, Yongping & Deng, Zilong & Chen, Yongping & Zhang, Chengbin, 2023. "Performance investigation of a biomimetic latent heat thermal energy storage device for waste heat recovery in data centers," Applied Energy, Elsevier, vol. 335(C).
    2. Qin, Jun & Jiang, Hou & Lu, Ning & Yao, Ling & Zhou, Chenghu, 2022. "Enhancing solar PV output forecast by integrating ground and satellite observations with deep learning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    3. Shahsavar, Amin & Majidzadeh, Amir Hossein & Mahani, Roohollah Babaei & Talebizadehsardari, Pouyan, 2021. "Entropy and thermal performance analysis of PCM melting and solidification mechanisms in a wavy channel triplex-tube heat exchanger," Renewable Energy, Elsevier, vol. 165(P2), pages 52-72.
    4. Nakhchi, M.E. & Hatami, M. & Rahmati, M., 2021. "A numerical study on the effects of nanoparticles and stair fins on performance improvement of phase change thermal energy storages," Energy, Elsevier, vol. 215(PA).
    5. Shen, Yuxuan & Pan, Yue, 2023. "BIM-supported automatic energy performance analysis for green building design using explainable machine learning and multi-objective optimization," Applied Energy, Elsevier, vol. 333(C).
    6. Tavakoli, Ali & Farzaneh-Gord, Mahmood & Ebrahimi-Moghadam, Amir, 2023. "Using internal sinusoidal fins and phase change material for performance enhancement of thermal energy storage systems: Heat transfer and entropy generation analyses," Renewable Energy, Elsevier, vol. 205(C), pages 222-237.
    7. Liu, Zhengxuan & Sun, Pengchen & Xie, Mingjing & Zhou, Yuekuan & He, Yingdong & Zhang, Guoqiang & Chen, Dachuan & Li, Shuisheng & Yan, Zhongjun & Qin, Di, 2021. "Multivariant optimization and sensitivity analysis of an experimental vertical earth-to-air heat exchanger system integrating phase change material with Taguchi method," Renewable Energy, Elsevier, vol. 173(C), pages 401-414.
    8. Li, Meng-Jie & Li, Ming-Jia & Xue, Xiao-Dai & Li, Dong, 2022. "Optimization and design criterion of the shell-and-tube thermal energy storage with cascaded PCMs under the constraint of outlet threshold temperature," Renewable Energy, Elsevier, vol. 181(C), pages 1371-1385.
    9. Bre, Facundo & Lamberts, Roberto & Flores-Larsen, Silvana & Koenders, Eduardus A.B., 2023. "Multi-objective optimization of latent energy storage in buildings by using phase change materials with different melting temperatures," Applied Energy, Elsevier, vol. 336(C).
    10. Bouziane, Hamza & Benhamou, Brahim, 2023. "Assessment of the impact of thermal energy storage operation strategy on parabolic trough solar power plant performance," Renewable Energy, Elsevier, vol. 202(C), pages 713-720.
    11. Nemati, H. & Souriaee, V. & Habibi, M. & Vafai, Kambiz, 2023. "Design and Taguchi-based optimization of the latent heat thermal storage in the form of structured porous-coated pipe," Energy, Elsevier, vol. 263(PD).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Diana Isabel Berrocal & Juan Blandon Rodriguez & Maria De Los Angeles Ortega Del Rosario & Itamar Harris & Arthur M. James Rivas, 2024. "Heat Transfer Enhancements Assessment in Hot Water Generation with Phase Change Materials (PCMs): A Review," Energies, MDPI, vol. 17(10), pages 1-35, May.
    2. Hong, Yuxiang & Cheng, Zihao & Li, Qing & Jia, Shuao & Xiao, Chengxiang & Du, Juan, 2024. "Thermal energy storage, heat transfer, and thermodynamic behaviors of nano phase change material in a concentric double tube unit with triple tree fins," Renewable Energy, Elsevier, vol. 235(C).
    3. Xinguo Sun & Jasim M. Mahdi & Hayder I. Mohammed & Hasan Sh. Majdi & Wang Zixiong & Pouyan Talebizadehsardari, 2021. "Solidification Enhancement in a Triple-Tube Latent Heat Energy Storage System Using Twisted Fins," Energies, MDPI, vol. 14(21), pages 1-23, November.
    4. Gao, Qiang & Lu, Yue & Liu, Xiangdong & Chen, Yongping, 2024. "A novel pulse liquid immersion cooling strategy for Lithium-ion battery pack," Energy, Elsevier, vol. 310(C).
    5. Jinyi Li & Zhen Liu & Guizhong Han & Peter Demian & Mohamed Osmani, 2024. "The Relationship Between Artificial Intelligence (AI) and Building Information Modeling (BIM) Technologies for Sustainable Building in the Context of Smart Cities," Sustainability, MDPI, vol. 16(24), pages 1-38, December.
    6. Yang, Yanru & Liu, Yu & Zhang, Yihang & Shu, Shaolong & Zheng, Junsheng, 2025. "DEST-GNN: A double-explored spatio-temporal graph neural network for multi-site intra-hour PV power forecasting," Applied Energy, Elsevier, vol. 378(PA).
    7. Tavakoli, Ali & Hashemi, Javad & Najafian, Mahyar & Ebrahimi, Amin, 2023. "Physics-based modelling and data-driven optimisation of a latent heat thermal energy storage system with corrugated fins," Renewable Energy, Elsevier, vol. 217(C).
    8. Zhang, Shuai & Li, Ying & Yan, Yuying, 2024. "Hybrid sensible-latent heat thermal energy storage using natural stones to enhance heat transfer: Energy, exergy, and economic analysis," Energy, Elsevier, vol. 286(C).
    9. Zang, Haixiang & Chen, Dianhao & Liu, Jingxuan & Cheng, Lilin & Sun, Guoqiang & Wei, Zhinong, 2024. "Improving ultra-short-term photovoltaic power forecasting using a novel sky-image-based framework considering spatial-temporal feature interaction," Energy, Elsevier, vol. 293(C).
    10. Su, Wei & Ai, Zhengtao & Yang, Bin, 2024. "Performance of latent heat storage exchangers: Evaluation framework and fast prediction model," Renewable Energy, Elsevier, vol. 237(PD).
    11. Javadi, Hossein & Urchueguía, Javier F. & Badenes, Borja & Mateo, Miguel Á. & Nejad Ghafar, Ali & Chaudhari, Ojas Arun & Zirgulis, Giedrius & Lemus, Lenin G., 2022. "Laboratory and numerical study on innovative grouting materials applicable to borehole heat exchangers (BHE) and borehole thermal energy storage (BTES) systems," Renewable Energy, Elsevier, vol. 194(C), pages 788-804.
    12. Mateusz Marcinkowski & Dawid Taler, 2021. "Calculating the Efficiency of Complex-Shaped Fins," Energies, MDPI, vol. 14(3), pages 1-14, January.
    13. Rusin, Krzysztof & Ochmann, Jakub & Bartela, Łukasz & Rulik, Sebastian & Stanek, Bartosz & Jurczyk, Michał & Waniczek, Sebastian, 2022. "Influence of geometrical dimensions and particle diameter on exergy performance of packed-bed thermal energy storage," Energy, Elsevier, vol. 260(C).
    14. Łukasz Amanowicz, 2021. "Peak Power of Heat Source for Domestic Hot Water Preparation (DHW) for Residential Estate in Poland as a Representative Case Study for the Climate of Central Europe," Energies, MDPI, vol. 14(23), pages 1-15, December.
    15. Luo, Mengxi & Zhang, Yongxue & Niu, Yaoyu & Lu, Bohui & Wang, Zixi & Zhang, Jinya & Wang, Ke & Zhu, Jianjun, 2023. "Experimental and numerical investigations on the thermal performance enhancement of a latent heat thermal energy storage unit with several novel snowflake fins," Renewable Energy, Elsevier, vol. 217(C).
    16. Xie, Xing & Chen, Xing-ni & Xu, Bin & Fei, Yue & Pei, Gang, 2022. "Study based on “Heat Flux - Energy Saving Pointer”: Exploring why phase change materials is not energy efficient enough on internal wall in cold region," Renewable Energy, Elsevier, vol. 196(C), pages 1308-1324.
    17. Jiangwei Liu & Yuhe Xiao & Dandan Chen & Chong Ye & Changda Nie, 2024. "Melting and Solidification Characteristics of PCM in Oscillated Bundled-Tube Thermal Energy Storage System," Energies, MDPI, vol. 17(8), pages 1-17, April.
    18. Ren, Zhili & Gao, Xiangkui & Wang, Tao & Xiao, Yimin & Zeng, Zhen & Chen, Long & Pang, Yantao & Ma, Yunlong & Xiong, Qian & Chen, Senlin & Ren, Yucheng, 2024. "Numerical study on thermal storage and exothermic characteristics of subway station fresh air shaft surrounding rock," Energy, Elsevier, vol. 293(C).
    19. Baibing Chi & Yashuai Li & Dawei Zhou, 2024. "A Hybrid Method of Cooling and Heating Consumption Prediction for Six Types of Buildings Based on Machine Learning," Sustainability, MDPI, vol. 16(24), pages 1-27, December.
    20. Junting Wu & Yingjin Zhang & Kanglong Sun & Qicheng Chen, 2022. "Heat Transfer Enhancement of Phase Change Material in Triple-Tube Latent Heat Thermal Energy Storage Units: Operating Modes and Fin Configurations," Energies, MDPI, vol. 15(15), pages 1-26, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:225:y:2024:i:c:s096014812400394x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.