IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i22p5623-d1517938.html
   My bibliography  Save this article

Numerical Simulation Study of Thermal Performance in Hot Water Storage Tanks with External and Internal Heat Exchangers

Author

Listed:
  • Yelizaveta Karlina

    (Department of Mechanics, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan)

  • Yelnar Yerdesh

    (Department of Mechanics, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan
    Department of Mechanical Engineering, Satbayev University, Almaty 050013, Kazakhstan)

  • Amankeldy Toleukhanov

    (Department of Mechanical Engineering, Satbayev University, Almaty 050013, Kazakhstan)

  • Yerzhan Belyayev

    (Department of Mechanics, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan
    Department of Mechanical Engineering, Satbayev University, Almaty 050013, Kazakhstan)

  • Hua Sheng Wang

    (School of Engineering and Materials Science, Queen Mary University of London, London E1 4NS, UK)

  • Olivier Botella

    (Université de Lorraine, CNRS, LEMTA, F-54000 Nancy, France)

Abstract

This paper presents a numerical analysis of two hot water storage tank configurations—one equipped with an external heat exchanger (Tank-1) and the other with an internal heat exchanger (Tank-2). The objective is to evaluate and compare their thermal performance during charging and discharging processes. The numerical model is developed by solving a system of ordinary differential equations using the 4th-order Runge–Kutta method, implemented in the Python programming language. The results indicate that Tank-1 demonstrated a higher charging efficiency of 94.6%, achieving full charge in approximately 2 h and 20 min. In comparison, Tank-2 required 3 h and 47 min to reach full charge, with a charging efficiency of 85.9%. During discharge, both configurations exhibited similar behavior, with an efficiency of 13.63% over approximately 33 min. The analysis showed that the external heat exchanger configuration led to more effective thermal stratification, supported by the Richardson number analysis, which indicated a significant effect of buoyancy during charging. This design advantage makes Tank-1 particularly suitable for applications requiring rapid heating and minimal heat loss, such as in cold climates or intermittent demand systems. The numerical model demonstrated reliable predictive accuracy, achieving an RMSE of 6.1% for the charging process and 6.8% for the discharging process, thereby validating the model’s reliability. These findings highlight the superior performance of the external heat exchanger configuration for fast and efficient energy storage, particularly for applications in cold climates.

Suggested Citation

  • Yelizaveta Karlina & Yelnar Yerdesh & Amankeldy Toleukhanov & Yerzhan Belyayev & Hua Sheng Wang & Olivier Botella, 2024. "Numerical Simulation Study of Thermal Performance in Hot Water Storage Tanks with External and Internal Heat Exchangers," Energies, MDPI, vol. 17(22), pages 1-18, November.
  • Handle: RePEc:gam:jeners:v:17:y:2024:i:22:p:5623-:d:1517938
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/22/5623/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/17/22/5623/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. De la Cruz-Loredo, Iván & Zinsmeister, Daniel & Licklederer, Thomas & Ugalde-Loo, Carlos E. & Morales, Daniel A. & Bastida, Héctor & Perić, Vedran S. & Saleem, Arslan, 2023. "Experimental validation of a hybrid 1-D multi-node model of a hot water thermal energy storage tank," Applied Energy, Elsevier, vol. 332(C).
    2. Li, Gang & Zheng, Xuefei, 2016. "Thermal energy storage system integration forms for a sustainable future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 736-757.
    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. Miguel J. Prieto & Juan Á. Martínez & Rogelio Peón & Lourdes Á. Barcia & Fernando Nuño, 2017. "On the Convenience of Using Simulation Models to Optimize the Control Strategy of Molten-Salt Heat Storage Systems in Solar Thermal Power Plants," Energies, MDPI, vol. 10(7), pages 1-17, July.
    2. Li, Jian & Liu, Qiang & Ge, Zhong & Duan, Yuanyuan & Yang, Zhen & Di, Jiawei, 2017. "Optimized liquid-separated thermodynamic states for working fluids of organic Rankine cycles with liquid-separated condensation," Energy, Elsevier, vol. 141(C), pages 652-660.
    3. Li, Jiaqi & Tu, Rang & Liu, Mengdan & Wang, Siqi, 2021. "Exergy analysis of a novel multi-stage latent heat storage device based on uniformity of temperature differences fields," Energy, Elsevier, vol. 221(C).
    4. Liu, Sijia & Winter, Michaela & Lewerenz, Meinert & Becker, Jan & Sauer, Dirk Uwe & Ma, Zeyu & Jiang, Jiuchun, 2019. "Analysis of cyclic aging performance of commercial Li4Ti5O12-based batteries at room temperature," Energy, Elsevier, vol. 173(C), pages 1041-1053.
    5. Pina, Eduardo A. & Lozano, Miguel A. & Serra, Luis M., 2018. "Thermoeconomic cost allocation in simple trigeneration systems including thermal energy storage," Energy, Elsevier, vol. 153(C), pages 170-184.
    6. Biglarian, Hassan & Abbaspour, Madjid & Saidi, Mohammad Hassan, 2018. "Evaluation of a transient borehole heat exchanger model in dynamic simulation of a ground source heat pump system," Energy, Elsevier, vol. 147(C), pages 81-93.
    7. Wang, Jiawei & You, Shi & Zong, Yi & Træholt, Chresten & Dong, Zhao Yang & Zhou, You, 2019. "Flexibility of combined heat and power plants: A review of technologies and operation strategies," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    8. Ortega-Fernández, Iñigo & Rodríguez-Aseguinolaza, Javier, 2019. "Thermal energy storage for waste heat recovery in the steelworks: The case study of the REslag project," Applied Energy, Elsevier, vol. 237(C), pages 708-719.
    9. Zeng, Qingshun & Shi, Changfeng & Zhu, Wenjun & Zhi, Jiaqi & Na, Xiaohong, 2023. "Sequential data-driven carbon peaking path simulation research of the Yangtze River Delta urban agglomeration based on semantic mining and heuristic algorithm optimization," Energy, Elsevier, vol. 285(C).
    10. Wang, Zhenfeng & Xu, Guangyin & Lin, Ruojue & Wang, Heng & Ren, Jingzheng, 2019. "Energy performance contracting, risk factors, and policy implications: Identification and analysis of risks based on the best-worst network method," Energy, Elsevier, vol. 170(C), pages 1-13.
    11. Eduardo A. Pina & Luis M. Serra & Miguel A. Lozano & Adrián Hernández & Ana Lázaro, 2020. "Comparative Analysis and Design of a Solar-Based Parabolic Trough–ORC Cogeneration Plant for a Commercial Center," Energies, MDPI, vol. 13(18), pages 1-29, September.
    12. Tsagarakis, Konstantinos P. & Efthymiou, Loukia & Michopoulos, Apostolos & Mavragani, Amaryllis & Anđelković, Aleksandar S. & Antolini, Francesco & Bacic, Mario & Bajare, Diana & Baralis, Matteo & Bog, 2020. "A review of the legal framework in shallow geothermal energy in selected European countries: Need for guidelines," Renewable Energy, Elsevier, vol. 147(P2), pages 2556-2571.
    13. Pantano, Fabio & Capata, Roberto, 2017. "Expander selection for an on board ORC energy recovery system," Energy, Elsevier, vol. 141(C), pages 1084-1096.
    14. Ceylin Şirin & Fatih Selimefendigil & Hakan Fehmi Öztop, 2023. "Performance Analysis and Identification of an Indirect Photovoltaic Thermal Dryer with Aluminum Oxide Nano-Embedded Thermal Energy Storage Modification," Sustainability, MDPI, vol. 15(3), pages 1-27, January.
    15. Chanda, Sourayon & Tsai, Peichun Amy, 2019. "Numerical simulation of renewable power generation using reverse electrodialysis," Energy, Elsevier, vol. 176(C), pages 531-543.
    16. Chaduvula, Hemanth & Das, Debapriya, 2023. "Analysis of microgrid configuration with optimal power injection from grid using point estimate method embedded fuzzy-particle swarm optimization," Energy, Elsevier, vol. 282(C).
    17. Saffari, Mohammad & de Gracia, Alvaro & Fernández, Cèsar & Belusko, Martin & Boer, Dieter & Cabeza, Luisa F., 2018. "Optimized demand side management (DSM) of peak electricity demand by coupling low temperature thermal energy storage (TES) and solar PV," Applied Energy, Elsevier, vol. 211(C), pages 604-616.
    18. Rosiek, Sabina & Romero-Cano, Manuel S. & Puertas, Antonio M. & Batlles, Francisco J., 2019. "Industrial food chamber cooling and power system integrated with renewable energy as an example of power grid sustainability improvement," Renewable Energy, Elsevier, vol. 138(C), pages 697-708.
    19. Bastida, Hector & De la Cruz-Loredo, Ivan & Saikia, Pranaynil & Ugalde-Loo, Carlos E., 2024. "Discrete-time state-of-charge estimator for latent heat thermal energy storage units based on a recurrent neural network," Applied Energy, Elsevier, vol. 371(C).
    20. Tian, Xin & Zhao, Haibo & Ma, Jinchen, 2017. "Cement bonded fine hematite and copper ore particles as oxygen carrier in chemical looping combustion," Applied Energy, Elsevier, vol. 204(C), pages 242-253.

    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:gam:jeners:v:17:y:2024:i:22:p:5623-:d:1517938. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.