IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v325y2025ics0360544225017815.html
   My bibliography  Save this article

Energy savings of multi-chiller systems comprising hybrid-type compressors combined with thermal energy storage technology: Focusing on compressor isentropic efficiency

Author

Listed:
  • Feng, Yiwei
  • Li, Yanpeng
  • Qu, Shengli
  • Wang, Chuang
  • Han, Yaoxiang
  • Xing, Ziwen

Abstract

Compressors account for over 50 % of total energy consumption in refrigeration systems, making operational efficiency improvements vital for energy savings. This study optimizes a large-scale food industry refrigeration system by integrating hybrid type compressor selection, cooling capacity management, and thermal energy storage (TES). The optimization focusing on the collaborative improvement of chillers' coefficient of performance (COP) and the isentropic efficiency (ηis) of compressors. A hybrid multi-chiller system combines variable-speed and variable-displacement compressors, where the former enables wide-range capacity regulation and the latter operates preferentially at full load. Cooling capacity is optimized by regulating primary chilled water flow and secondary return water temperature to maintain chillers’ PLRs within their optimal COP ranges, while compressor displacement adjustments ensure ηis remains maximized. TES integration facilitates “load shifting”, reducing parallel operation time of three chiller from 550 to 93 min and eliminating frequent on-off cycles. By coordinating TES charging/discharging with compressor control, variable-displacement chillers avoid low-load conditions while maintain the capacity regulating capability of variable-speed compressors, enhancing partial-load efficiency. Implemented in a milk production facility, this strategy achieves 32.2 %–33.0 % energy savings and reduces the peak-to-valley energy consumption difference by 44.8 %–47.4 %.

Suggested Citation

  • Feng, Yiwei & Li, Yanpeng & Qu, Shengli & Wang, Chuang & Han, Yaoxiang & Xing, Ziwen, 2025. "Energy savings of multi-chiller systems comprising hybrid-type compressors combined with thermal energy storage technology: Focusing on compressor isentropic efficiency," Energy, Elsevier, vol. 325(C).
  • Handle: RePEc:eee:energy:v:325:y:2025:i:c:s0360544225017815
    DOI: 10.1016/j.energy.2025.136139
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225017815
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.136139?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. Zou, Wenke & Sun, Yongjun & Gao, Dian-ce & Zhang, Xu, 2023. "Globally optimal control of hybrid chilled water plants integrated with small-scale thermal energy storage for energy-efficient operation," Energy, Elsevier, vol. 262(PA).
    2. Ma, Zhenjun & Wang, Shengwei, 2011. "Enhancing the performance of large primary-secondary chilled water systems by using bypass check valve," Energy, Elsevier, vol. 36(1), pages 268-276.
    3. Gao, Dian-ce & Wang, Shengwei & Shan, Kui, 2016. "In-situ implementation and evaluation of an online robust pump speed control strategy for avoiding low delta-T syndrome in complex chilled water systems of high-rise buildings," Applied Energy, Elsevier, vol. 171(C), pages 541-554.
    4. Jangsten, Maria & Lindholm, Torbjörn & Dalenbäck, Jan-Olof, 2022. "District cooling substation design and control to achieve high return temperatures," Energy, Elsevier, vol. 251(C).
    5. Wu, Si & Yang, Pu & Chen, Guanghao & Wang, Zhe, 2025. "Evaluating seasonal chiller performance using operational data," Applied Energy, Elsevier, vol. 377(PA).
    6. Zhang, Lizhi & Kuang, Jiyuan & Sun, Bo & Li, Fan & Zhang, Chenghui, 2020. "A two-stage operation optimization method of integrated energy systems with demand response and energy storage," Energy, Elsevier, vol. 208(C).
    7. Li, Yanpeng & Liu, Yishuang & Li, Zengqun & Wang, Chuang & Xing, Ziwen & Ren, Dawei & Zhu, Yili, 2024. "Semi-empirical model of the twin-screw refrigeration compressor with capacity control devices," Energy, Elsevier, vol. 305(C).
    8. Heng, Yaguang & Chen, Zhengsu & Jiang, Qifeng & Bois, Gérard & Zhang, Weibin & He, Kunjian, 2024. "Performance and internal flow pattern analyses of a specific centrifugal disc pump under air-water two-phase flow conditions," Energy, Elsevier, vol. 309(C).
    9. Liu, Xue-feng & Liu, Jin-ping & Lu, Ji-dong & Liu, Lei & Zou, Wei, 2012. "Research on operating characteristics of direct-return chilled water system controlled by variable temperature difference," Energy, Elsevier, vol. 40(1), pages 236-249.
    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. Zou, Wenke & Li, Hangxin & Gao, Dian-ce & Wang, Shengwei, 2025. "A physics-guided self-adaptive chiller sequencing controller of enhanced robustness and energy efficiency accommodating measurement uncertainties," Applied Energy, Elsevier, vol. 389(C).
    2. Shunian Qiu & Zhenhai Li & Delong Wang & Zhengwei Li & Yinying Tao, 2022. "Active Optimization of Chilled Water Pump Running Number: Engineering Practice Validation," Sustainability, MDPI, vol. 15(1), pages 1-12, December.
    3. Jangsten, Maria & Lindholm, Torbjörn & Dalenbäck, Jan-Olof, 2020. "Analysis of operational data from a district cooling system and its connected buildings," Energy, Elsevier, vol. 203(C).
    4. Zou, Wenke & Sun, Yongjun & Gao, Dian-ce & Cui, Zhitao & You, Zhiqiang & Ma, Xiaowen, 2023. "Robust enhancement of chiller sequencing control for tolerating sensor measurement uncertainties through controlling small-scale thermal energy storage," Energy, Elsevier, vol. 280(C).
    5. Feng, Yiwei & Li, Yanpeng & Qu, Shengli & Liu, Yishuang & Wang, Chuang & Han, Yaoxiang & Xing, Ziwen, 2025. "Proactive operational strategy of thermal energy storage tank in an industrial multi-chiller system based on chilled water flow difference between supply and demand sides," Energy, Elsevier, vol. 319(C).
    6. Xuefeng, Liu & Jinping, Liu & Zhitao, Lu & Kongzu, Xing & Yuebang, Mai, 2015. "Diversity of energy-saving control strategy for a parallel chilled water pump based on variable differential pressure control in an air-conditioning system," Energy, Elsevier, vol. 88(C), pages 718-733.
    7. Khasanzoda, Nasrullo & Safaraliev, Murodbek & Zicmane, Inga & Beryozkina, Svetlana & Rahimov, Jamshed & Ahyoev, Javod, 2022. "Use of smart grid based wind resources in isolated power systems," Energy, Elsevier, vol. 253(C).
    8. Jing Zhao & Yu Shan, 2020. "A Fuzzy Control Strategy Using the Load Forecast for Air Conditioning System," Energies, MDPI, vol. 13(3), pages 1-17, January.
    9. Yan, Jingjing & Zhang, Huan & Wang, Yaran & Zhu, Zhaozhe & Bai, He & Li, Qicheng & You, Shijun, 2024. "Pump-stopping-induced hydraulic oscillations in long-distance district heating system: Modelling and a comprehensive analysis of critical factors," Energy, Elsevier, vol. 294(C).
    10. Kung, Kevin S. & Thengane, Sonal K. & Ghoniem, Ahmed F. & Lim, C. Jim & Cao, Yankai & Sokhansanj, Shahabaddine, 2022. "Start-up, shutdown, and transition timescale analysis in biomass reactor operations," Energy, Elsevier, vol. 248(C).
    11. Fan Li & Jingxi Su & Bo Sun, 2023. "An Optimal Scheduling Method for an Integrated Energy System Based on an Improved k-Means Clustering Algorithm," Energies, MDPI, vol. 16(9), pages 1-22, April.
    12. Gao, Dian-ce & Wang, Shengwei & Shan, Kui, 2016. "In-situ implementation and evaluation of an online robust pump speed control strategy for avoiding low delta-T syndrome in complex chilled water systems of high-rise buildings," Applied Energy, Elsevier, vol. 171(C), pages 541-554.
    13. Wang, Qiaochu & Ding, Yan & Kong, Xiangfei & Tian, Zhe & Xu, Linrui & He, Qing, 2022. "Load pattern recognition based optimization method for energy flexibility in office buildings," Energy, Elsevier, vol. 254(PC).
    14. Zou, Wenke & Sun, Yongjun & Gao, Dian-ce & Zhang, Xu, 2023. "Globally optimal control of hybrid chilled water plants integrated with small-scale thermal energy storage for energy-efficient operation," Energy, Elsevier, vol. 262(PA).
    15. Li, Ke & Yang, Fan & Wang, Lupan & Yan, Yi & Wang, Haiyang & Zhang, Chenghui, 2022. "A scenario-based two-stage stochastic optimization approach for multi-energy microgrids," Applied Energy, Elsevier, vol. 322(C).
    16. Wang, Xuebin & Song, Wenle & Wu, Haotian & Liang, Haiping & Saboor, Ahmed, 2022. "Microgrid operation relying on economic problems considering renewable sources, storage system, and demand-side management using developed gray wolf optimization algorithm," Energy, Elsevier, vol. 248(C).
    17. Marius Minea & Cătălin Marian Dumitrescu, 2022. "On the Feasibility and Efficiency of Self-Powered Green Intelligent Highways," Energies, MDPI, vol. 15(13), pages 1-32, June.
    18. Maria Ferrara & Matteo Bilardo & Dragos-Ioan Bogatu & Doyun Lee & Mahmood Khatibi & Samira Rahnama & Jun Shinoda & Ying Sun & Yongjun Sun & Alireza Afshari & Fariborz Haghighat & Ongun B. Kazanci & Ry, 2024. "Review on Advanced Storage Control Applied to Optimized Operation of Energy Systems for Buildings and Districts: Insights and Perspectives," Energies, MDPI, vol. 17(14), pages 1-26, July.
    19. Ma, Zhenjun & Lin, Wenye & Sohel, M. Imroz, 2016. "Nano-enhanced phase change materials for improved building performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1256-1268.
    20. Lu, Qing & Guo, Qisheng & Zeng, Wei, 2022. "Optimization scheduling of integrated energy service system in community: A bi-layer optimization model considering multi-energy demand response and user satisfaction," Energy, Elsevier, vol. 252(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:energy:v:325:y:2025:i:c:s0360544225017815. 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.