IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v239y2022ipcs0360544221023963.html
   My bibliography  Save this article

Parametric assessment, multi-objective optimization and advanced exergy analysis of a combined thermal-compressed air energy storage with an ejector-assisted Kalina cycle

Author

Listed:
  • Yang, Xuqing
  • Yang, Shanju
  • Wang, Haitao
  • Yu, Zhenzhu
  • Liu, Zhan
  • Zhang, Weifeng

Abstract

Compressed air energy storage has attracted worldwide attention owning to its low capital investment, scalability, eco-friendliness and long life. In this paper, a new combined thermal-compressed air energy storage with ejector-assisted superheated Kalina cycle is comprehensively investigated. Parametric assessment at the aspect of thermodynamic and economic performances is first conducted to investigate the influence of several crucial design parameters. Multi-objective optimization is then carried out based on genetic algorithm to maximize the round-trip efficiency and economic profits. Finally, the advanced exergy analysis is performed to achieve more valuable information by taking the component interconnections and technological limitations. Results demonstrate that increasing charging pressure, separation temperature, and ammonia mass fraction of basic solution and decreasing compressor efficiency are beneficial to reduce the investment cost per product. Meanwhile, the investment cost per product exists an optimum value along with the pinch temperatures of cooler and heater, discharging pressure and turbine efficiency. The system round-trip efficiency and investment cost per product are respectively 52.92% and 0.087 $/kWh based on multi-objective optimization. The advanced exergy analysis results indicate that interactions among components are weak and the system has a large potential for improvement due to higher avoidable exergy destruction than unavoidable part.

Suggested Citation

  • Yang, Xuqing & Yang, Shanju & Wang, Haitao & Yu, Zhenzhu & Liu, Zhan & Zhang, Weifeng, 2022. "Parametric assessment, multi-objective optimization and advanced exergy analysis of a combined thermal-compressed air energy storage with an ejector-assisted Kalina cycle," Energy, Elsevier, vol. 239(PC).
    • Handle: RePEc:eee:energy:v:239:y:2022:i:pc:s0360544221023963
    DOI: 10.1016/j.energy.2021.122148
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221023963
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.122148?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. Mohammadi, Z. & Fallah, M. & Mahmoudi, S.M. Seyed, 2019. "Advanced exergy analysis of recompression supercritical CO2 cycle," Energy, Elsevier, vol. 178(C), pages 631-643.
    2. Wang, Zhiwen & Xiong, Wei & Ting, David S.-K. & Carriveau, Rupp & Wang, Zuwen, 2016. "Conventional and advanced exergy analyses of an underwater compressed air energy storage system," Applied Energy, Elsevier, vol. 180(C), pages 810-822.
    3. Ghaebi, Hadi & Parikhani, Towhid & Rostamzadeh, Hadi & Farhang, Behzad, 2017. "Thermodynamic and thermoeconomic analysis and optimization of a novel combined cooling and power (CCP) cycle by integrating of ejector refrigeration and Kalina cycles," Energy, Elsevier, vol. 139(C), pages 262-276.
    4. Zhang, Tong & Chen, Laijun & Zhang, Xuelin & Mei, Shengwei & Xue, Xiaodai & Zhou, Yuan, 2018. "Thermodynamic analysis of a novel hybrid liquid air energy storage system based on the utilization of LNG cold energy," Energy, Elsevier, vol. 155(C), pages 641-650.
    5. 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.
    6. Houssainy, Sammy & Janbozorgi, Mohammad & Ip, Peggy & Kavehpour, Pirouz, 2018. "Thermodynamic analysis of a high temperature hybrid compressed air energy storage (HTH-CAES) system," Renewable Energy, Elsevier, vol. 115(C), pages 1043-1054.
    7. Akbari, Ata D. & Mahmoudi, Seyed M.S., 2014. "Thermoeconomic analysis & optimization of the combined supercritical CO2 (carbon dioxide) recompression Brayton/organic Rankine cycle," Energy, Elsevier, vol. 78(C), pages 501-512.
    8. 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.
    9. He, Wei & Wang, Jihong & Wang, Yang & Ding, Yulong & Chen, Haisheng & Wu, Yuting & Garvey, Seamus, 2017. "Study of cycle-to-cycle dynamic characteristics of adiabatic Compressed Air Energy Storage using packed bed Thermal Energy Storage," Energy, Elsevier, vol. 141(C), pages 2120-2134.
    10. She, Xiaohui & Peng, Xiaodong & Nie, Binjian & Leng, Guanghui & Zhang, Xiaosong & Weng, Likui & Tong, Lige & Zheng, Lifang & Wang, Li & Ding, Yulong, 2017. "Enhancement of round trip efficiency of liquid air energy storage through effective utilization of heat of compression," Applied Energy, Elsevier, vol. 206(C), pages 1632-1642.
    11. Wang, Sixian & Zhang, Xuelin & Yang, Luwei & Zhou, Yuan & Wang, Junjie, 2016. "Experimental study of compressed air energy storage system with thermal energy storage," Energy, Elsevier, vol. 103(C), pages 182-191.
    12. 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.
    13. Ruixiong Li & Huanran Wang & Erren Yao & Shuyu Zhang, 2016. "Thermo-Economic Comparison and Parametric Optimizations among Two Compressed Air Energy Storage System Based on Kalina Cycle and ORC," Energies, MDPI, vol. 10(1), pages 1-19, December.
    14. Arabkoohsar, A. & Andresen, G.B., 2019. "Design and optimization of a novel system for trigeneration," Energy, Elsevier, vol. 168(C), pages 247-260.
    15. Morosuk, Tatiana & Tsatsaronis, George, 2008. "A new approach to the exergy analysis of absorption refrigeration machines," Energy, Elsevier, vol. 33(6), pages 890-907.
    16. 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).
    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. Ma, Haoyuan & Liu, Zhan, 2022. "Preliminary thermodynamic analysis of a carbon dioxide binary mixture cycled energy storage system with low pressure stores," Energy, Elsevier, vol. 246(C).
    2. Huang, Rui & Zhou, Kang & Liu, Zhan, 2022. "Reduction on the inefficiency of heat recovery storage in a compressed carbon dioxide energy storage system," Energy, Elsevier, vol. 244(PB).
    3. Liu, Lintong & Zhai, Rongrong & Hu, Yangdi, 2023. "Multi-objective optimization with advanced exergy analysis of a wind-solar‑hydrogen multi-energy supply system," Applied Energy, Elsevier, vol. 348(C).
    4. Guo, Huan & Xu, Yujie & Huang, Lujing & Sun, Jianting & Chen, Haisheng, 2023. "Optimization strategy using corresponding-point methodology (CPM) concerning finite time and heat conduction rate for CAES systems," Energy, Elsevier, vol. 266(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. 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).
    2. 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.
    3. 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).
    4. Huang, Rui & Zhou, Kang & Liu, Zhan, 2022. "Reduction on the inefficiency of heat recovery storage in a compressed carbon dioxide energy storage system," Energy, Elsevier, vol. 244(PB).
    5. Chen, Long Xiang & Xie, Mei Na & Zhao, Pan Pan & Wang, Feng Xiang & Hu, Peng & Wang, Dong Xiang, 2018. "A novel isobaric adiabatic compressed air energy storage (IA-CAES) system on the base of volatile fluid," Applied Energy, Elsevier, vol. 210(C), pages 198-210.
    6. 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).
    7. 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.
    8. Fallah, M. & Mohammadi, Z. & Mahmoudi, S.M. Seyed, 2022. "Advanced exergy analysis of the combined S–CO2/ORC system," Energy, Elsevier, vol. 241(C).
    9. Liu, Zhan & Liu, Xu & Yang, Shanju & Hooman, Kamel & Yang, Xiaohu, 2021. "Assessment evaluation of a trigeneration system incorporated with an underwater compressed air energy storage," Applied Energy, Elsevier, vol. 303(C).
    10. He, Wei & Dooner, Mark & King, Marcus & Li, Dacheng & Guo, Songshan & Wang, Jihong, 2021. "Techno-economic analysis of bulk-scale compressed air energy storage in power system decarbonisation," Applied Energy, Elsevier, vol. 282(PA).
    11. 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).
    12. 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.
    13. Li, Yaowang & Miao, Shihong & Luo, Xing & Yin, Binxin & Han, Ji & Wang, Jihong, 2020. "Dynamic modelling and techno-economic analysis of adiabatic compressed air energy storage for emergency back-up power in supporting microgrid," Applied Energy, Elsevier, vol. 261(C).
    14. Cheayb, Mohamad & Marin Gallego, Mylène & Tazerout, Mohand & Poncet, Sébastien, 2019. "Modelling and experimental validation of a small-scale trigenerative compressed air energy storage system," Applied Energy, Elsevier, vol. 239(C), pages 1371-1384.
    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. Briola, Stefano & Di Marco, Paolo & Gabbrielli, Roberto & Riccardi, Juri, 2017. "Sensitivity analysis for the energy performance assessment of hybrid compressed air energy storage systems," Applied Energy, Elsevier, vol. 206(C), pages 1552-1563.
    17. 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.
    18. Houssainy, Sammy & Janbozorgi, Mohammad & Ip, Peggy & Kavehpour, Pirouz, 2018. "Thermodynamic analysis of a high temperature hybrid compressed air energy storage (HTH-CAES) system," Renewable Energy, Elsevier, vol. 115(C), pages 1043-1054.
    19. 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.
    20. Yang, Lichao & Cai, Zuansi & Li, Cai & He, Qingcheng & Ma, Yan & Guo, Chaobin, 2020. "Numerical investigation of cycle performance in compressed air energy storage in aquifers," Applied Energy, Elsevier, vol. 269(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:energy:v:239:y:2022:i:pc:s0360544221023963. 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.