IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v401y2025ipbs0306261925014333.html

Experimental insights into the trade-off in thermally regenerative electrochemical batteries

Author

Listed:
  • Sha, Yingyin
  • Tang, Xin
  • Li, Guiqiang

Abstract

Notwithstanding the prevailing global energy crisis and the concomitant environmental pollution, the world's demand for electricity and cooling is continuing to grow at a rapid rate. The thermally regenerative electrochemical battery (TREB) has emerged as a promising solution that can provide switchable power generation and cooling capabilities both environmentally and efficiently. Nevertheless, despite ongoing research, a fundamental trade-off between specific heat capacity and entropy change, the latter being governed by temperature coefficient and internal resistance, remains largely unexplored experimentally, limiting the optimization and practical deployment of TREBs. Hence, this study proposes a dimensionless parameter, Θ, which consolidates the thermal properties from the perspective of electrolyte concentration, thereby offering an effective means to elucidate the key trade-off. Results show that increasing Θ leads to a decrease in temperature coefficient and specific heat capacity, but the internal resistance exhibits a non-monotonic trend due to the combined effect of osmotic pressure. For power generation, the relative Carnot efficiency initially rises with Θ and then declines, reaching a maximum of 33.52 % when Θ=0.30, accompanied by a peak power density of 12.85 mW/g. It also highlights the significance of heat recovery to mitigate the negative impact of high specific heat capacity under low electrolyte concentrations. Under cooling conditions, the Coefficient of Performance relative to the Carnot limit across each Θ remains outstanding, ranging from 86.17 % to 68.39 %. This work removes a key barrier to TREB optimization by systematically exploring the trade-off mechanism and offering a concentration-based strategy for performance improvement.

Suggested Citation

  • Sha, Yingyin & Tang, Xin & Li, Guiqiang, 2025. "Experimental insights into the trade-off in thermally regenerative electrochemical batteries," Applied Energy, Elsevier, vol. 401(PB).
  • Handle: RePEc:eee:appene:v:401:y:2025:i:pb:s0306261925014333
    DOI: 10.1016/j.apenergy.2025.126703
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261925014333
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2025.126703?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Tang, Xin & Li, Guiqiang & Zhao, Xudong, 2021. "Effect of air gap on a novel hybrid photovoltaic/thermal and thermally regenerative electrochemical cycle system," Applied Energy, Elsevier, vol. 293(C).
    2. Sha, Yingyin & Tang, Xin & Li, Guiqiang, 2025. "Enhanced electrochemical cooling through a cascade Brayton refrigeration cycle: theoretical and practical insights," Energy, Elsevier, vol. 325(C).
    3. Sha, Yingyin & Tang, Xin & Cuce, Erdem & Li, Guiqiang & Zhao, Xudong, 2024. "Parametric optimization for enhancing the electrical performance of hybrid photovoltaic/thermal and thermally regenerative electrochemical cycle system," Energy, Elsevier, vol. 307(C).
    4. Tang, Xin & Li, Guiqiang & Zhao, Xudong & Shi, Kai & Lao, Li, 2022. "Simulation analysis and experimental validation of enhanced photovoltaic thermal module by harnessing heat," Applied Energy, Elsevier, vol. 309(C).
    5. Zhiwei Li & Yinghong Xu & Langyuan Wu & Jiaxin Cui & Hui Dou & Xiaogang Zhang, 2023. "Enabling giant thermopower by heterostructure engineering of hydrated vanadium pentoxide for zinc ion thermal charging cells," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    6. Hua, Tian & Liu, Yusong & Tang, Lun & Cao, Huilin & Wang, Weiguang & Shu, Gequn, 2024. "Simulation of continuous thermally regenerative electrochemical flow cycle and coupled with photovoltaic/thermal system," Energy, Elsevier, vol. 310(C).
    7. Seok Woo Lee & Yuan Yang & Hyun-Wook Lee & Hadi Ghasemi & Daniel Kraemer & Gang Chen & Yi Cui, 2014. "An electrochemical system for efficiently harvesting low-grade heat energy," Nature Communications, Nature, vol. 5(1), pages 1-6, September.
    8. Chen, Ruihua & Deng, Shuai & Xu, Weicong & Zhao, Li, 2020. "A graphic analysis method of electrochemical systems for low-grade heat harvesting from a perspective of thermodynamic cycles," Energy, Elsevier, vol. 191(C).
    9. Aravindh Rajan & Ian S. McKay & Shannon K. Yee, 2022. "Continuous electrochemical refrigeration based on the Brayton cycle," Nature Energy, Nature, vol. 7(4), pages 320-328, April.
    10. Zhiwei Li & Yinghong Xu & Langyuan Wu & Yufeng An & Yao Sun & Tingting Meng & Hui Dou & Yimin Xuan & Xiaogang Zhang, 2022. "Zinc ion thermal charging cell for low-grade heat conversion and energy storage," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    11. Chen, Ruihua & Xu, Weicong & Deng, Shuai & Zhao, Ruikai & Choi, Siyoung Q. & Zhao, Li, 2023. "Towards the Carnot efficiency with a novel electrochemical heat engine based on the Carnot cycle: Thermodynamic considerations," Energy, Elsevier, vol. 284(C).
    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. Chen, Ruihua & Xu, Weicong & Deng, Shuai & Zhao, Ruikai & Choi, Siyoung Q. & Zhao, Li, 2023. "A contemporary description of the Carnot cycle featured by chemical work from equilibrium: The electrochemical Carnot cycle," Energy, Elsevier, vol. 280(C).
    2. Hua, Tian & Liu, Yusong & Tang, Lun & Cao, Huilin & Wang, Weiguang & Shu, Gequn, 2024. "Simulation of continuous thermally regenerative electrochemical flow cycle and coupled with photovoltaic/thermal system," Energy, Elsevier, vol. 310(C).
    3. Chen, Ruihua & Xu, Weicong & Deng, Shuai & Zhao, Ruikai & Choi, Siyoung Q. & Zhao, Li, 2023. "Towards the Carnot efficiency with a novel electrochemical heat engine based on the Carnot cycle: Thermodynamic considerations," Energy, Elsevier, vol. 284(C).
    4. Cai, Yuhao & Qian, Xin & Su, Ruihang & Jia, Xiongjie & Ying, Jinhui & Zhao, Tianshou & Jiang, Haoran, 2024. "Thermo-electrochemical modeling of thermally regenerative flow batteries," Applied Energy, Elsevier, vol. 355(C).
    5. Chen, Ruihua & Zhao, Ruikai & Deng, Shuai & Zhao, Li & Xu, Weicong, 2021. "A cycle research methodology for thermo-chemical engines: From ideal cycle to case study," Energy, Elsevier, vol. 228(C).
    6. He, Dongliang & Tang, Xin & Li, Guiqiang, 2025. "Enhancing the mass transfer performance of the CuHCF/Cu based thermally regenerative electrochemical cycle cell through structural optimization," Renewable Energy, Elsevier, vol. 253(C).
    7. Sha, Yingyin & Tang, Xin & Li, Guiqiang, 2025. "Enhanced electrochemical cooling through a cascade Brayton refrigeration cycle: theoretical and practical insights," Energy, Elsevier, vol. 325(C).
    8. An, Yichao & Zhang, Yongsheng & Shi, Yu & Zhang, Liang & Li, Jun & Fu, Qian & Zhu, Xun & Liao, Qiang, 2023. "Alleviated ammonia crossover in thermally regenerative ammonia-based batteries by optimizing the introduced intermediate-chamber," Applied Energy, Elsevier, vol. 349(C).
    9. Nie, Xianhua & Xue, Juan & Zhao, Li & Deng, Shuai & Xiong, Hanping, 2024. "New insight of thermodynamic cycle in thermoelectric power generation analyses: Literature review and perspectives," Energy, Elsevier, vol. 292(C).
    10. Tang, Xin & Li, Guiqiang & Zhao, Xudong & Shi, Kai & Lao, Li, 2022. "Simulation analysis and experimental validation of enhanced photovoltaic thermal module by harnessing heat," Applied Energy, Elsevier, vol. 309(C).
    11. Zhang, Xin & Cai, Ling & Liao, Tianjun & Zhou, Yinghui & Zhao, Yingru & Chen, Jincan, 2018. "Exploiting the waste heat from an alkaline fuel cell via electrochemical cycles," Energy, Elsevier, vol. 142(C), pages 983-990.
    12. Zhang, Xin & Li, Jingwen & Xiong, Yi & Ang, Yee Sin, 2022. "Efficient harvesting of low-grade waste heat from proton exchange membrane fuel cells via thermoradiative power devices," Energy, Elsevier, vol. 258(C).
    13. Yang, Wei & Bao, Jingjing & Liu, Hongtao & Zhang, Jun & Guo, Lin, 2023. "Low-grade heat to hydrogen: Current technologies, challenges and prospective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    14. Hanson, James L. & Onnen, Michael T. & Yeşiller, Nazlı & Kopp, Kevin B., 2022. "Heat energy potential of municipal solid waste landfills: Review of heat generation and assessment of vertical extraction systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    15. Abdul K Hamid & Nsilulu T Mbungu & A. Elnady & Ramesh C Bansal & Ali A Ismail & Mohammad A AlShabi, 2023. "A systematic review of grid-connected photovoltaic and photovoltaic/thermal systems: Benefits, challenges and mitigation," Energy & Environment, , vol. 34(7), pages 2775-2814, November.
    16. Krzysztof Kosowski & Marian Piwowarski, 2025. "Analysis of Thermal Cycles with an Isothermal Turbine for Use in Low-Temperature Systems," Energies, MDPI, vol. 18(16), pages 1-19, August.
    17. Ko, Yun Mo & Lee, Sunghun & Kim, Seonggon & Kang, Yong Tae, 2025. "Enhancing thermally regenerative battery performance by mitigating ammonia crossover," Applied Energy, Elsevier, vol. 396(C).
    18. Chen, Ruihua & Deng, Shuai & Xu, Weicong & Zhao, Li, 2020. "A graphic analysis method of electrochemical systems for low-grade heat harvesting from a perspective of thermodynamic cycles," Energy, Elsevier, vol. 191(C).
    19. Huang, Kunteng & Chen, Ruihua & Xu, Weicong & Wang, Hao & Lu, Pei & Huang, Yisheng & Zhao, Dongpeng & Deng, Shuai & Zhao, Li, 2025. "Novel graphical expression method of thermodynamic process parameters: Methodology and case study," Energy, Elsevier, vol. 314(C).
    20. Yang, Jiebo & Yu, Qinghua & Lei, Yu & Chen, Sheng & Yu, Yang & Yan, Fuwu, 2024. "A novel flow channel inspired by classical mathematical function: Enhancing output performance and low-grade heat recovery efficiency of thermal regeneration ammonia-based flow battery," Energy, Elsevier, vol. 313(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:appene:v:401:y:2025:i:pb:s0306261925014333. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.