IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v152y2020icp1099-1108.html
   My bibliography  Save this article

A trans-critical carbon dioxide energy storage system with heat pump to recover stored heat of compression

Author

Listed:
  • Hao, Yinping
  • He, Qing
  • Du, Dongmei

Abstract

In this paper, the heat pump system is used as the thermal storage system to reheat the heat of compression of the trans-critical CO2 energy storage system based on the underground gas storage reservoir, and the thermodynamic analysis and sensitivity analysis of the main equipment of the energy storage system are carried out. Considering the limitation of the thermal properties of the heat storage medium, the influence of the energy storage system composed of different heat storage medium on the system performance is studied. Results have shown that the round-trip efficiency, energy storage efficiency and heat storage efficiency of the system are 66%, 58.41%, and 46.11%, respectively. With the increase of energy storage pressure, the round-trip efficiency and energy storage efficiency increase gradually, while the heat storage efficiency decreases first and then increases. When the energy storage pressure is 23 MPa, the system has the lowest heat storage efficiency. The round-trip efficiency, energy storage efficiency and heat storage efficiency increase with the increase of the energy recovery pressure. The study also shows that the energy storage system with water as the heat storage medium has the highest efficiency and the best performance.

Suggested Citation

  • Hao, Yinping & He, Qing & Du, Dongmei, 2020. "A trans-critical carbon dioxide energy storage system with heat pump to recover stored heat of compression," Renewable Energy, Elsevier, vol. 152(C), pages 1099-1108.
    • Handle: RePEc:eee:renene:v:152:y:2020:i:c:p:1099-1108
    DOI: 10.1016/j.renene.2020.01.099
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014812030121X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2020.01.099?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. Arpagaus, Cordin & Bless, Frédéric & Uhlmann, Michael & Schiffmann, Jürg & Bertsch, Stefan S., 2018. "High temperature heat pumps: Market overview, state of the art, research status, refrigerants, and application potentials," Energy, Elsevier, vol. 152(C), pages 985-1010.
    2. Haisheng Chen & Xinjing Zhang & Jinchao Liu & Chunqing Tan, 2013. "Compressed Air Energy Storage," Chapters, in: Ahmed F. Zobaa (ed.), Energy Storage - Technologies and Applications, IntechOpen.
    3. Zhang, Yuan & Yang, Ke & Hong, Hui & Zhong, Xiaohui & Xu, Jianzhong, 2016. "Thermodynamic analysis of a novel energy storage system with carbon dioxide as working fluid," Renewable Energy, Elsevier, vol. 99(C), pages 682-697.
    4. Kim, Young-Min & Shin, Dong-Gil & Lee, Sun-Youp & Favrat, Daniel, 2013. "Isothermal transcritical CO2 cycles with TES (thermal energy storage) for electricity storage," Energy, Elsevier, vol. 49(C), pages 484-501.
    5. Quan, Hao & Srinivasan, Dipti & Khambadkone, Ashwin M. & Khosravi, Abbas, 2015. "A computational framework for uncertainty integration in stochastic unit commitment with intermittent renewable energy sources," Applied Energy, Elsevier, vol. 152(C), pages 71-82.
    6. Mathiesen, B.V. & Lund, H. & Connolly, D. & Wenzel, H. & Østergaard, P.A. & Möller, B. & Nielsen, S. & Ridjan, I. & Karnøe, P. & Sperling, K. & Hvelplund, F.K., 2015. "Smart Energy Systems for coherent 100% renewable energy and transport solutions," Applied Energy, Elsevier, vol. 145(C), pages 139-154.
    7. Luo, Xing & Wang, Jihong & Krupke, Christopher & Wang, Yue & Sheng, Yong & Li, Jian & Xu, Yujie & Wang, Dan & Miao, Shihong & Chen, Haisheng, 2016. "Modelling study, efficiency analysis and optimisation of large-scale Adiabatic Compressed Air Energy Storage systems with low-temperature thermal storage," Applied Energy, Elsevier, vol. 162(C), pages 589-600.
    8. Budt, Marcus & Wolf, Daniel & Span, Roland & Yan, Jinyue, 2016. "A review on compressed air energy storage: Basic principles, past milestones and recent developments," Applied Energy, Elsevier, vol. 170(C), pages 250-268.
    9. Zhang, Yuan & Yang, Ke & Li, Xuemei & Xu, Jianzhong, 2013. "The thermodynamic effect of thermal energy storage on compressed air energy storage system," Renewable Energy, Elsevier, vol. 50(C), pages 227-235.
    10. Ibrahim, H. & Ilinca, A. & Perron, J., 2008. "Energy storage systems--Characteristics and comparisons," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(5), pages 1221-1250, June.
    11. Alshehry, Atef Saad & Belloumi, Mounir, 2015. "Energy consumption, carbon dioxide emissions and economic growth: The case of Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 237-247.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Carro, A. & Chacartegui, R. & Ortiz, C. & Carneiro, J. & Becerra, J.A., 2022. "Integration of energy storage systems based on transcritical CO2: Concept of CO2 based electrothermal energy and geological storage," Energy, Elsevier, vol. 238(PA).
    2. Xue, X.J. & Zhao, C.Y., 2023. "Transient behavior and thermodynamic analysis of Brayton-like pumped-thermal electricity storage based on packed-bed latent heat/cold stores," Applied Energy, Elsevier, vol. 329(C).
    3. Li, Yi & Yu, Hao & Li, Yi & Tang, Dong & Zhang, Guijin & Liu, Yaning, 2024. "Study on the applicability of compressed carbon dioxide energy storage in aquifers under different daily and weekly cycles," Renewable Energy, Elsevier, vol. 222(C).
    4. Fu, Xintao & Yan, Xuewen & Liu, Zhan, 2023. "Coupling thermodynamics and economics of liquid CO2 energy storage system with refrigerant additives," Energy, Elsevier, vol. 284(C).
    5. Liu, Zhan & Liu, Xu & Zhang, Weifeng & Yang, Shanju & Li, Hailong & Yang, Xiaohu, 2022. "Thermodynamic analysis on the feasibility of a liquid energy storage system using CO2-based mixture as the working fluid," Energy, Elsevier, vol. 238(PA).
    6. Ghorbani, Bahram & Salehi, Gholamreza & Ebrahimi, Armin & Taghavi, Masoud, 2021. "Energy, exergy and pinch analyses of a novel energy storage structure using post-combustion CO2 separation unit, dual pressure Linde-Hampson liquefaction system, two-stage organic Rankine cycle and ge," Energy, Elsevier, vol. 233(C).
    7. Qi, Meng & Park, Jinwoo & Landon, Robert Stephen & Kim, Jeongdong & Liu, Yi & Moon, Il, 2022. "Continuous and flexible Renewable-Power-to-Methane via liquid CO2 energy storage: Revisiting the techno-economic potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    8. Bin Zhang & Junbo Yang & Sule Tian & Qingxi Huang & Wei Wang & Qie Sun & Xiaohan Ren, 2023. "Techno-Economic Evaluation of a Compressed CO 2 Energy Storage System for Load Shifting Based on Dynamic Modelling," Energies, MDPI, vol. 16(23), pages 1-15, December.
    9. Dewevre, Florent & Lacroix, Clément & Loubar, Khaled & Poncet, Sébastien, 2024. "Carbon dioxide energy storage systems: Current researches and perspectives," Renewable Energy, Elsevier, vol. 224(C).
    10. Zhang, Yuan & Liang, Tianyang & Yang, Ke, 2022. "An integrated energy storage system consisting of Compressed Carbon dioxide energy storage and Organic Rankine Cycle: Exergoeconomic evaluation and multi-objective optimization," Energy, Elsevier, vol. 247(C).
    11. Fu, Hailun & He, Qing & Song, Jintao & Shi, Xinping & Hao, Yinping & Du, Dongmei & Liu, Wenyi, 2021. "Thermodynamic of a novel advanced adiabatic compressed air energy storage system with variable pressure ratio coupled organic rankine cycle," Energy, Elsevier, vol. 227(C).
    12. Jakub Szymiczek & Krzysztof Szczotka & Marian Banaś & Przemysław Jura, 2022. "Efficiency of a Compressor Heat Pump System in Different Cycle Designs: A Simulation Study for Low-Enthalpy Geothermal Resources," Energies, MDPI, vol. 15(15), pages 1-19, July.
    13. Guo, Chaobin & Li, Cai & Zhang, Keni & Cai, Zuansi & Ma, Tianran & Maggi, Federico & Gan, Yixiang & El-Zein, Abbas & Pan, Zhejun & Shen, Luming, 2021. "The promise and challenges of utility-scale compressed air energy storage in aquifers," Applied Energy, Elsevier, vol. 286(C).
    14. Zhang, Yuan & Shen, Xiajie & Tian, Zhen & Kan, Ankang & Gao, Wenzhong & Yang, Ke, 2023. "A step towards dynamic: An investigation on a carbon dioxide binary mixtures based compressed gas energy storage system using energy and exergy analysis," Energy, Elsevier, vol. 282(C).
    15. Huiru Zhao & Hao Lu & Xuejie Wang & Bingkang Li & Yuwei Wang & Pei Liu & Zhao Ma, 2020. "Research on Comprehensive Value of Electrical Energy Storage in CCHP Microgrid with Renewable Energy Based on Robust Optimization," Energies, MDPI, vol. 13(24), pages 1-22, December.
    16. Fu, Yidan & Cai, Lei & Qi, Chenyu & Zhai, Jiangfeng, 2024. "Thermodynamic and economic analyses of the biomass gasification Allam cycle integrated with compressed carbon energy storage," Energy, Elsevier, vol. 303(C).

    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. He, Wei & Wang, Jihong, 2018. "Optimal selection of air expansion machine in Compressed Air Energy Storage: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 87(C), pages 77-95.
    2. Sciacovelli, Adriano & Li, Yongliang & Chen, Haisheng & Wu, Yuting & Wang, Jihong & Garvey, Seamus & Ding, Yulong, 2017. "Dynamic simulation of Adiabatic Compressed Air Energy Storage (A-CAES) plant with integrated thermal storage – Link between components performance and plant performance," Applied Energy, Elsevier, vol. 185(P1), pages 16-28.
    3. 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.
    4. Liu, Zhan & Liu, Zihui & Xin, Xuan & Yang, Xiaohu, 2020. "Proposal and assessment of a novel carbon dioxide energy storage system with electrical thermal storage and ejector condensing cycle: Energy and exergy analysis," Applied Energy, Elsevier, vol. 269(C).
    5. Guo, Huan & Xu, Yujie & Chen, Haisheng & Guo, Cong & Qin, Wei, 2017. "Thermodynamic analytical solution and exergy analysis for supercritical compressed air energy storage system," Applied Energy, Elsevier, vol. 199(C), pages 96-106.
    6. Meng, Hui & Wang, Meihong & Olumayegun, Olumide & Luo, Xiaobo & Liu, Xiaoyan, 2019. "Process design, operation and economic evaluation of compressed air energy storage (CAES) for wind power through modelling and simulation," Renewable Energy, Elsevier, vol. 136(C), pages 923-936.
    7. Luo, Xing & Dooner, Mark & He, Wei & Wang, Jihong & Li, Yaowang & Li, Decai & Kiselychnyk, Oleh, 2018. "Feasibility study of a simulation software tool development for dynamic modelling and transient control of adiabatic compressed air energy storage with its electrical power system applications," Applied Energy, Elsevier, vol. 228(C), pages 1198-1219.
    8. Zhou, Qian & Du, Dongmei & Lu, Chang & He, Qing & Liu, Wenyi, 2019. "A review of thermal energy storage in compressed air energy storage system," Energy, Elsevier, vol. 188(C).
    9. Dib, Ghady & Haberschill, Philippe & Rullière, Romuald & Perroit, Quentin & Davies, Simon & Revellin, Rémi, 2020. "Thermodynamic simulation of a micro advanced adiabatic compressed air energy storage for building application," Applied Energy, Elsevier, vol. 260(C).
    10. Zhan, Junpeng & Ansari, Osama Aslam & Liu, Weijia & Chung, C.Y., 2019. "An accurate bilinear cavern model for compressed air energy storage," Applied Energy, Elsevier, vol. 242(C), pages 752-768.
    11. Wu, Danman & Bai, Jiayu & Wei, Wei & Chen, Laijun & Mei, Shengwei, 2021. "Optimal bidding and scheduling of AA-CAES based energy hub considering cascaded consumption of heat," Energy, Elsevier, vol. 233(C).
    12. Li, Yi & Yu, Hao & Li, Yi & Liu, Yaning & Zhang, Guijin & Tang, Dong & Jiang, Zhongming, 2020. "Numerical study on the hydrodynamic and thermodynamic properties of compressed carbon dioxide energy storage in aquifers," Renewable Energy, Elsevier, vol. 151(C), pages 1318-1338.
    13. Li, Ruixiong & Wang, Huanran & Zhang, Haoran, 2019. "Dynamic simulation of a cooling, heating and power system based on adiabatic compressed air energy storage," Renewable Energy, Elsevier, vol. 138(C), pages 326-339.
    14. Han, Ji & Miao, Shihong & Chen, Zhe & Liu, Zhou & Li, Yaowang & Yang, Weichen & Liu, Ziwen, 2021. "Multi-View clustering and discrete consensus based tri-level coordinated control of wind farm and adiabatic compressed air energy storage for providing frequency regulation service," Applied Energy, Elsevier, vol. 304(C).
    15. Peng, Hao & Yang, Yu & Li, Rui & Ling, Xiang, 2016. "Thermodynamic analysis of an improved adiabatic compressed air energy storage system," Applied Energy, Elsevier, vol. 183(C), pages 1361-1373.
    16. Zhang, Han & Wang, Liang & Lin, Xipeng & Chen, Haisheng, 2020. "Combined cooling, heating, and power generation performance of pumped thermal electricity storage system based on Brayton cycle," Applied Energy, Elsevier, vol. 278(C).
    17. Cheayb, Mohamad & Marin Gallego, Mylène & Tazerout, Mohand & Poncet, Sébastien, 2022. "A techno-economic analysis of small-scale trigenerative compressed air energy storage system," Energy, Elsevier, vol. 239(PA).
    18. He, Yang & Chen, Haisheng & Xu, Yujie & Deng, Jianqiang, 2018. "Compression performance optimization considering variable charge pressure in an adiabatic compressed air energy storage system," Energy, Elsevier, vol. 165(PB), pages 349-359.
    19. Fu, Hailun & He, Qing & Song, Jintao & Shi, Xinping & Hao, Yinping & Du, Dongmei & Liu, Wenyi, 2021. "Thermodynamic of a novel advanced adiabatic compressed air energy storage system with variable pressure ratio coupled organic rankine cycle," Energy, Elsevier, vol. 227(C).
    20. 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).

    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:152:y:2020:i:c:p:1099-1108. 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.