IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v221y2024ics0960148123016439.html
   My bibliography  Save this article

Optimal design and performance assessment of a proposed constant power operation mode for the constant volume discharging process of advanced adiabatic compressed air energy storage

Author

Listed:
  • Chen, Wei
  • Qin, Haoxuan
  • Zhu, Qing
  • Bai, Jianshu
  • Xie, Ningning
  • Wang, Yazhou
  • Zhang, Tong
  • Xue, Xiaodai

Abstract

A power operation mode of constant volume discharging process for advanced adiabatic compressed air energy storage (AA-CAES), called compensation mode (C mode), is proposed. The dynamic model of the proposed C mode discharging process is established based on the conservations of mass, momentum, and energy. The reliabilities of compressor, air tank, and air turbine are verified separately. The optimal design is carried out to reduce the power consumed by the compressor. The optimal design pressure ratio and reduced flow rate are 2.48 and 9.292 × 10−5 m·s·K0.5, respectively. This finding proves that the proposed dynamic model obeys the first and second laws of thermodynamics. The exergy distribution of the entire discharging process is studied. Results show that the two largest exergy losses occur in MT and MR. The performance of the proposed C mode is compared with that of the two other operation modes. The proposed C mode enhances the energy storage efficiency of the AA-CAES system by 14.71 %. This study provides a relatively efficient and feasible technical solution for the constant power operation of AA-CAES.

Suggested Citation

  • Chen, Wei & Qin, Haoxuan & Zhu, Qing & Bai, Jianshu & Xie, Ningning & Wang, Yazhou & Zhang, Tong & Xue, Xiaodai, 2024. "Optimal design and performance assessment of a proposed constant power operation mode for the constant volume discharging process of advanced adiabatic compressed air energy storage," Renewable Energy, Elsevier, vol. 221(C).
  • Handle: RePEc:eee:renene:v:221:y:2024:i:c:s0960148123016439
    DOI: 10.1016/j.renene.2023.119728
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148123016439
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2023.119728?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. Chen, Longxiang & Zhang, Liugan & Yang, Huipeng & Xie, Meina & Ye, Kai, 2022. "Dynamic simulation of a Re-compressed adiabatic compressed air energy storage (RA-CAES) system," Energy, Elsevier, vol. 261(PB).
    2. Christoph Jakiel & Stefan Zunft & Andreas Nowi, 2007. "Adiabatic compressed air energy storage plants for efficient peak load power supply from wind energy: the European project AA-CAES," International Journal of Energy Technology and Policy, Inderscience Enterprises Ltd, vol. 5(3), pages 296-306.
    3. Berrada, Asmae, 2022. "Financial and economic modeling of large-scale gravity energy storage system," Renewable Energy, Elsevier, vol. 192(C), pages 405-419.
    4. Zhu, Hongtao & Gao, Xueping & Liu, Yinzhu & Liu, Shuai, 2023. "Numerical and experimental assessment of the water discharge segment in a pumped-storage power station," Energy, Elsevier, vol. 265(C).
    5. Huang, Yifan & Yang, Weijia & Zhao, Zhigao & Han, Wenfu & Li, Yulan & Yang, Jiandong, 2023. "Dynamic modeling and favorable speed command of variable-speed pumped-storage unit during power regulation," Renewable Energy, Elsevier, vol. 206(C), pages 769-783.
    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. Huang, Jingjian & Xu, Yujie & Guo, Huan & Geng, Xiaoqian & Chen, Haisheng, 2022. "Dynamic performance and control scheme of variable-speed compressed air energy storage," Applied Energy, Elsevier, vol. 325(C).
    8. Zhang, Zhi & Zhou, Ming & Chen, Yanbo & Li, Gengyin, 2023. "Exploiting the operational flexibility of AA-CAES in energy and reserve optimization scheduling by a linear reserve model," Energy, Elsevier, vol. 263(PE).
    9. Chen, Wei & Bai, Jianshu & Wang, Guohua & Xie, Ningning & Ma, Linrui & Wang, Yazhou & Zhang, Tong & Xue, Xiaodai, 2023. "First and second law analysis and operational mode optimization of the compression process for an advanced adiabatic compressed air energy storage based on the established comprehensive dynamic model," Energy, Elsevier, vol. 263(PC).
    10. Papaefthymiou, Stefanos V. & Lakiotis, Vasileios G. & Margaris, Ioannis D. & Papathanassiou, Stavros A., 2015. "Dynamic analysis of island systems with wind-pumped-storage hybrid power stations," Renewable Energy, Elsevier, vol. 74(C), pages 544-554.
    11. 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.
    12. Rubasinghe, Osaka & Zhang, Tingze & Zhang, Xinan & Choi, San Shing & Chau, Tat Kei & Chow, Yau & Fernando, Tyrone & Iu, Herbert Ho-Ching, 2023. "Highly accurate peak and valley prediction short-term net load forecasting approach based on decomposition for power systems with high PV penetration," Applied Energy, Elsevier, vol. 333(C).
    13. Zhou, Yu & Xia, Caichu & Zhao, Haibin & Mei, Songhua & Zhou, Shuwei, 2018. "An iterative method for evaluating air leakage from unlined compressed air energy storage (CAES) caverns," Renewable Energy, Elsevier, vol. 120(C), pages 434-445.
    14. Zhang, Fangfang & Fang, Mingkun & Pan, Jiale & Tao, Ran & Zhu, Di & Liu, Weichao & Xiao, Ruofu, 2023. "Guide vane profile optimization of pump-turbine for grid connection performance improvement," Energy, Elsevier, vol. 274(C).
    15. Gil, Antoni & Medrano, Marc & Martorell, Ingrid & Lázaro, Ana & Dolado, Pablo & Zalba, Belén & Cabeza, Luisa F., 2010. "State of the art on high temperature thermal energy storage for power generation. Part 1--Concepts, materials and modellization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 31-55, January.
    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. Ng, Jian Yew & Tan, Wen-Shan & Chan, Ping Yi & Elias, Azimin, 2024. "Multi-objective optimisation of buoyancy energy storage technology using transit search algorithm," Renewable Energy, Elsevier, vol. 225(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. Chen, Wei & Bai, Jianshu & Wang, Guohua & Xie, Ningning & Ma, Linrui & Wang, Yazhou & Zhang, Tong & Xue, Xiaodai, 2023. "First and second law analysis and operational mode optimization of the compression process for an advanced adiabatic compressed air energy storage based on the established comprehensive dynamic model," Energy, Elsevier, vol. 263(PC).
    2. Xiao, Feng & Chen, Wei & Zhang, Bin & Zhang, Tong & Xie, Ningning & Wang, Zhitao & Chen, Hui & Xue, Xiaodai, 2023. "A novel constant power operation mode of constant volume expansion process for AA-CAES: Regulation strategy, dynamic simulation, and comparison," Energy, Elsevier, vol. 284(C).
    3. Li, Peng & Hu, Qingya & Han, Zhonghe & Wang, Changxin & Wang, Runxia & Han, Xu & Wang, Yongzhen, 2022. "Thermodynamic analysis and multi-objective optimization of a trigenerative system based on compressed air energy storage under different working media and heating storage media," Energy, Elsevier, vol. 239(PD).
    4. Emiliano Borri & Alessio Tafone & Gabriele Comodi & Alessandro Romagnoli & Luisa F. Cabeza, 2022. "Compressed Air Energy Storage—An Overview of Research Trends and Gaps through a Bibliometric Analysis," Energies, MDPI, vol. 15(20), pages 1-21, October.
    5. 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).
    6. Bai, Jiayu & Wei, Wei & Chen, Laijun & Mei, Shengwei, 2020. "Modeling and dispatch of advanced adiabatic compressed air energy storage under wide operating range in distribution systems with renewable generation," Energy, Elsevier, vol. 206(C).
    7. Huang, Shucheng & Khajepour, Amir, 2022. "A new adiabatic compressed air energy storage system based on a novel compression strategy," Energy, Elsevier, vol. 242(C).
    8. Wang, Di & Zhou, Yu & Si, Long & Sun, Lingfang & Zhou, Yunlong, 2024. "Performance study of 660 MW coal-fired power plant coupled transcritical carbon dioxide energy storage cycle: Sensitivity and dynamic characteristic analysis," Energy, Elsevier, vol. 293(C).
    9. 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).
    10. 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.
    11. Ann-Kathrin Klaas & Hans-Peter Beck, 2021. "A MILP Model for Revenue Optimization of a Compressed Air Energy Storage Plant with Electrolysis," Energies, MDPI, vol. 14(20), pages 1-21, October.
    12. 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).
    13. 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).
    14. Zhang, Yufei & Li, Ruixiong & Shao, Huaishuang & He, Xin & Zhang, Wenlong & Du, Junyu & Song, Yaoguang & Wang, Huanran, 2024. "Thermodynamic and economic analysis of a novel thermoelectric-hydrogen co-generation system combining compressed air energy storage and chemical energy," Energy, Elsevier, vol. 286(C).
    15. Guo, Chaobin & Pan, Lehua & Zhang, Keni & Oldenburg, Curtis M. & Li, Cai & Li, Yi, 2016. "Comparison of compressed air energy storage process in aquifers and caverns based on the Huntorf CAES plant," Applied Energy, Elsevier, vol. 181(C), pages 342-356.
    16. Yuan, Jiahang & Luo, Xinggang & Li, Zhendong & Li, Lingfei & Ji, Pengli & Zhou, Qing & Zhang, Zhongliang, 2021. "Sustainable development evaluation on wind power compressed air energy storage projects based on multi-source heterogeneous data," Renewable Energy, Elsevier, vol. 169(C), pages 1175-1189.
    17. Ortega-Fernández, Iñigo & Zavattoni, Simone A. & Rodríguez-Aseguinolaza, Javier & D'Aguanno, Bruno & Barbato, Maurizio C., 2017. "Analysis of an integrated packed bed thermal energy storage system for heat recovery in compressed air energy storage technology," Applied Energy, Elsevier, vol. 205(C), pages 280-293.
    18. Guo, Huan & Xu, Yujie & Kang, Haoyuan & Guo, Wenbing & Liu, Yu & Zhang, Xinjing & Zhou, Xuezhi & Chen, Haisheng, 2023. "From theory to practice: Evaluating the thermodynamic design landscape of compressed air energy storage systems," Applied Energy, Elsevier, vol. 352(C).
    19. Xu, Qingqing & Wu, Yuhang & Zheng, Wenpei & Gong, Yunhua & Dubljevic, Stevan, 2023. "Modeling and dynamic safety control of compressed air energy storage system," Renewable Energy, Elsevier, vol. 208(C), pages 203-213.
    20. 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).

    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:221:y:2024:i:c:s0960148123016439. 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.