IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v308y2024ics0360544224027300.html
   My bibliography  Save this article

Theory of time constant correlation of a porous bed thermal energy storage tank - Experimental and numerical proof of concept

Author

Listed:
  • Ochmann, Jakub
  • Rusin, Krzysztof
  • Jurczyk, Michał
  • Rulik, Sebastian
  • Bartela, Łukasz

Abstract

Analytical modeling of energy systems is used to estimate the potential of the system, but several simplifications used lead to progressive deviations from the actual potential. Thermal Energy Storage tanks are most often treated as black boxes, by limiting their characteristics to their energy efficiency and basic capacity only. This paper introduces the theory of a time constant that correlates the basic parameters of a porous bed heat storage tank and allows the charge level of the tank to be determined during the charging stage. The correlation for the time constant has a coefficient that has been fully validated both experimentally and numerically for a wide range of parameters. Coefficient values for different precision test runs have been indicated, and the prediction deviation using the time constant does not exceed a value of 5 % relative to the actual results. The proposed methodology for the analytical model of the tank accurately represents the cyclic operation of the heat storage tank. It has also been shown that the cyclic operation of the heat storage tank fixes the charge level in the range of 0.16–0.79. The methodology presented can be used to modelling and designing energy systems with heat storage.

Suggested Citation

  • Ochmann, Jakub & Rusin, Krzysztof & Jurczyk, Michał & Rulik, Sebastian & Bartela, Łukasz, 2024. "Theory of time constant correlation of a porous bed thermal energy storage tank - Experimental and numerical proof of concept," Energy, Elsevier, vol. 308(C).
    • Handle: RePEc:eee:energy:v:308:y:2024:i:c:s0360544224027300
    DOI: 10.1016/j.energy.2024.132956
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224027300
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.132956?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. Haneklaus, Nils & Qvist, Staffan & Gładysz, Paweł & Bartela, Łukasz, 2023. "Why coal-fired power plants should get nuclear-ready," Energy, Elsevier, vol. 280(C).
    2. Schwarzmayr, Paul & Birkelbach, Felix & Walter, Heimo & Hofmann, René, 2023. "Standby efficiency and thermocline degradation of a packed bed thermal energy storage: An experimental study," Applied Energy, Elsevier, vol. 337(C).
    3. 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).
    4. Glendenning, I., 1976. "Long-term prospects for compressed air storage," Applied Energy, Elsevier, vol. 2(1), pages 39-56, January.
    5. Courtois, Nicolas & Najafiyazdi, Mostafa & Lotfalian, Reza & Boudreault, Richard & Picard, Mathieu, 2021. "Analytical expression for the evaluation of multi-stage adiabatic-compressed air energy storage (A-CAES) systems cycle efficiency," Applied Energy, Elsevier, vol. 288(C).
    6. Otitoju, Olajide & Oko, Eni & Wang, Meihong, 2023. "Modelling, scale-up and techno-economic assessment of rotating packed bed absorber for CO2 capture from a 250 MWe combined cycle gas turbine power plant," Applied Energy, Elsevier, vol. 335(C).
    7. Ochmann, J. & Rusin, K. & Bartela, Ł., 2023. "Comprehensive analytical model of energy and exergy performance of the thermal energy storage," Energy, Elsevier, vol. 283(C).
    8. Katla, Daria & Węcel, Daniel & Jurczyk, Michał & Skorek-Osikowska, Anna, 2023. "Preliminary experimental study of a methanation reactor for conversion of H2 and CO2 into synthetic natural gas (SNG)," Energy, Elsevier, vol. 263(PD).
    9. Wolf, Daniel & Budt, Marcus, 2014. "LTA-CAES – A low-temperature approach to Adiabatic Compressed Air Energy Storage," Applied Energy, Elsevier, vol. 125(C), pages 158-164.
    10. Zhang, Yi & Xu, Yujie & Zhou, Xuezhi & Guo, Huan & Zhang, Xinjing & Chen, Haisheng, 2019. "Compressed air energy storage system with variable configuration for accommodating large-amplitude wind power fluctuation," Applied Energy, Elsevier, vol. 239(C), pages 957-968.
    11. Kothari, Rohit & Hemmingsen, Casper Schytte & Voigt, Niels Vinther & La Seta, Angelo & Nielsen, Kenny Krogh & Desai, Nishith B. & Vijayan, Akhil & Haglind, Fredrik, 2024. "Numerical and experimental analysis of instability in high temperature packed-bed rock thermal energy storage systems," Applied Energy, Elsevier, vol. 358(C).
    12. Łukasz Bartela & Paweł Gładysz & Jakub Ochmann & Staffan Qvist & Lou Martinez Sancho, 2022. "Repowering a Coal Power Unit with Small Modular Reactors and Thermal Energy Storage," Energies, MDPI, vol. 15(16), pages 1-28, August.
    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. Ochmann, J. & Rusin, K. & Bartela, Ł., 2023. "Comprehensive analytical model of energy and exergy performance of the thermal energy storage," Energy, Elsevier, vol. 283(C).
    2. Roos, P. & Haselbacher, A., 2022. "Analytical modeling of advanced adiabatic compressed air energy storage: Literature review and new models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    3. Huang, Shucheng & Khajepour, Amir, 2022. "A new adiabatic compressed air energy storage system based on a novel compression strategy," Energy, Elsevier, vol. 242(C).
    4. Ge, Gangqiang & Wang, Huanran & Li, Ruixiong & Sun, Hao & Zhang, Yufei, 2024. "Investigation and improvement of complex characteristics of packed bed thermal energy storage (PBTES) in adiabatic compressed air energy storage (A-CAES) systems," Energy, Elsevier, vol. 296(C).
    5. Chen, Hao & Wang, Huanran & Li, Ruixiong & Sun, Hao & Ge, Gangqiang & Ling, Lanning, 2022. "Experimental and analytical investigation of near-isothermal pumped hydro-compressed air energy storage system," Energy, Elsevier, vol. 249(C).
    6. Liu, Zhan & Yang, Xuqing & Liu, Xu & Wang, Wenbin & Yang, Xiaohu, 2021. "Evaluation of a trigeneration system based on adiabatic compressed air energy storage and absorption heat pump: Thermodynamic analysis," Applied Energy, Elsevier, vol. 300(C).
    7. Ghiasirad, Hamed & Gholizadeh, Towhid & Ochmann, Jakub & Jurczyk, Michal & Bartela, Lukasz & Skorek-Osikowska, Anna, 2024. "Synergizing compressed air energy storage and liquefied natural gas regasification in a power-to-biofuels plant," Energy, Elsevier, vol. 308(C).
    8. Du, Ruxue & He, Yang & Chen, Haisheng & Xu, Yujie & Li, Wen & Deng, Jianqiang, 2022. "Performance and economy of trigenerative adiabatic compressed air energy storage system based on multi-parameter analysis," Energy, Elsevier, vol. 238(PA).
    9. Jakub Ochmann & Michał Jurczyk & Krzysztof Rusin & Sebastian Rulik & Łukasz Bartela & Wojciech Uchman, 2024. "Solution for Post-Mining Sites: Thermo-Economic Analysis of a Large-Scale Integrated Energy Storage System," Energies, MDPI, vol. 17(8), pages 1-21, April.
    10. Cui, Jie & Yang, Xueming & Chen, Jianing & Su, Hui & Xie, Jianfei, 2024. "Multi-perspective analysis of adiabatic compressed air energy storage system with cascaded packed bed latent heat storage under variable conditions," Energy, Elsevier, vol. 305(C).
    11. Liu, Jin-Long & Wang, Jian-Hua, 2015. "Thermodynamic analysis of a novel tri-generation system based on compressed air energy storage and pneumatic motor," Energy, Elsevier, vol. 91(C), pages 420-429.
    12. Guo, Cong & Xu, Yujie & Zhang, Xinjing & Guo, Huan & Zhou, Xuezhi & Liu, Chang & Qin, Wei & Li, Wen & Dou, Binlin & Chen, Haisheng, 2017. "Performance analysis of compressed air energy storage systems considering dynamic characteristics of compressed air storage," Energy, Elsevier, vol. 135(C), pages 876-888.
    13. Huan Guo & Haoyuan Kang & Yujie Xu & Mingzhi Zhao & Yilin Zhu & Hualiang Zhang & Haisheng Chen, 2023. "Review of Coupling Methods of Compressed Air Energy Storage Systems and Renewable Energy Resources," Energies, MDPI, vol. 16(12), pages 1-22, June.
    14. Michał Jurczyk & Tomasz Spietz & Agata Czardybon & Szymon Dobras & Karina Ignasiak & Łukasz Bartela & Wojciech Uchman & Jakub Ochmann, 2024. "Review of Thermal Energy Storage Materials for Application in Large-Scale Integrated Energy Systems—Methodology for Matching Heat Storage Solutions for Given Applications," Energies, MDPI, vol. 17(14), pages 1-28, July.
    15. Vaziri Rad, Mohammad Amin & Kasaeian, Alibakhsh & Niu, Xiaofeng & Zhang, Kai & Mahian, Omid, 2023. "Excess electricity problem in off-grid hybrid renewable energy systems: A comprehensive review from challenges to prevalent solutions," Renewable Energy, Elsevier, vol. 212(C), pages 538-560.
    16. Jannelli, E. & Minutillo, M. & Lubrano Lavadera, A. & Falcucci, G., 2014. "A small-scale CAES (compressed air energy storage) system for stand-alone renewable energy power plant for a radio base station: A sizing-design methodology," Energy, Elsevier, vol. 78(C), pages 313-322.
    17. Zhang, Yufei & Zhang, Wenlong & Li, Ruixiong & Wang, Huanran & He, Xin & Li, Xiangdong & Du, Junyu & Zhang, Xuanhao, 2024. "Thermodynamic and economic analysis of a novel compressed air energy storage system coupled with solar energy and liquid piston energy storage and release," Energy, Elsevier, vol. 311(C).
    18. Zhang, Weifeng & Ding, Jialu & Yin, Suzhen & Zhang, Fangyuan & Zhang, Yao & Liu, Zhan, 2024. "Thermo-economic optimization of an artificial cavern compressed air energy storage with CO2 pressure stabilizing unit," Energy, Elsevier, vol. 294(C).
    19. Fuquan Zhao & Fanlong Bai & Xinglong Liu & Zongwei Liu, 2022. "A Review on Renewable Energy Transition under China’s Carbon Neutrality Target," Sustainability, MDPI, vol. 14(22), pages 1-27, November.
    20. Facci, Andrea L. & Sánchez, David & Jannelli, Elio & Ubertini, Stefano, 2015. "Trigenerative micro compressed air energy storage: Concept and thermodynamic assessment," Applied Energy, Elsevier, vol. 158(C), pages 243-254.

    More about this item

    Statistics

    Access and download statistics

    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:energy:v:308:y:2024:i:c:s0360544224027300. 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/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.