IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v228y2018icp1198-1219.html
   My bibliography  Save this article

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

Author

Listed:
  • Luo, Xing
  • Dooner, Mark
  • He, Wei
  • Wang, Jihong
  • Li, Yaowang
  • Li, Decai
  • Kiselychnyk, Oleh

Abstract

The field of large-scale electrical energy storage is growing rapidly in both academia and industry, which has driven a fast increase in the research and development on adiabatic compressed air energy storage. The significant challenge of adiabatic compressed air energy storage with its thermal energy storage is in the complexity of the system dynamic characteristics arising from the multi-physical (pneumatic, thermal, mechanical and electrical) processes. This has led to a strong demand for simulation software tools specifically for dynamic modelling and transient control of relevant multi-scale components, subsystems and whole systems with different configurations. The paper presents a feasibility study of a simulation tool development implemented by the University of Warwick Engineering team to achieve this purpose. The developed tool includes a range of validated simulation models from the fields of pneumatics, thermodynamics, heat transfer, electrical machines and power grids. The structure of the developed tool is introduced and a component library is built up on the Matlab/Simulink platform. The mathematical descriptions of key components are presented, which precedes a presentation of four case studies of different applications. The case studies demonstrate that the simulation software tool can be used for dynamic modelling of multi-scale adiabatic compressed air energy storage components and systems, real performance analysis, dynamic control strategy implementation and feasibility studies of applications of adiabatic compressed air energy storage integrated with power grids. The paper concludes that the continued development and use of such a tool is both feasible and valuable.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:228:y:2018:i:c:p:1198-1219
    DOI: 10.1016/j.apenergy.2018.06.068
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261918309371
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2018.06.068?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, 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.
    2. 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.
    3. 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.
    4. 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.
    5. Luo, Xing & Wang, Jihong & Dooner, Mark & Clarke, Jonathan, 2015. "Overview of current development in electrical energy storage technologies and the application potential in power system operation," Applied Energy, Elsevier, vol. 137(C), pages 511-536.
    6. 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.
    7. 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.
    8. 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.
    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. Hartmann, Niklas & Vöhringer, O. & Kruck, C. & Eltrop, L., 2012. "Simulation and analysis of different adiabatic Compressed Air Energy Storage plant configurations," Applied Energy, Elsevier, vol. 93(C), pages 541-548.
    11. Jidai Wang & Kunpeng Lu & Lan Ma & Jihong Wang & Mark Dooner & Shihong Miao & Jian Li & Dan Wang, 2017. "Overview of Compressed Air Energy Storage and Technology Development," Energies, MDPI, vol. 10(7), pages 1-22, July.
    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. 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.
    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. 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).
    2. 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.
    3. 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.
    4. Chongchong Xu & Zhicheng Liao & Chaojie Li & Xiaojun Zhou & Renyou Xie, 2022. "Review on Interpretable Machine Learning in Smart Grid," Energies, MDPI, vol. 15(12), pages 1-31, June.
    5. Wu, Wei & Li, Peng & Fu, Xiaopeng & Yan, Jinyue & Wang, Chengshan, 2022. "Flexible Shifted-Frequency analysis for Multi-Timescale simulations of active distribution networks," Applied Energy, Elsevier, vol. 321(C).
    6. 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).
    7. 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).
    8. Bai, Jiayu & Liu, Feng & Xue, Xiaodai & Wei, Wei & Chen, Laijun & Wang, Guohua & Mei, Shengwei, 2021. "Modelling and control of advanced adiabatic compressed air energy storage under power tracking mode considering off-design generating conditions," Energy, Elsevier, vol. 218(C).
    9. 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).
    10. Hyrzyński, Rafał & Ziółkowski, Paweł & Gotzman, Sylwia & Kraszewski, Bartosz & Ochrymiuk, Tomasz & Badur, Janusz, 2021. "Comprehensive thermodynamic analysis of the CAES system coupled with the underground thermal energy storage taking into account global, central and local level of energy conversion," Renewable Energy, Elsevier, vol. 169(C), pages 379-403.
    11. Kim, Min Jae & Kim, Tong Seop, 2019. "Integration of compressed air energy storage and gas turbine to improve the ramp rate," Applied Energy, Elsevier, vol. 247(C), pages 363-373.
    12. 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).
    13. Guo, Huan & Xu, Yujie & Zhang, Xuehui & Liang, Qi & Wang, Shurui & Chen, Haisheng, 2021. "Dynamic characteristics and control of supercritical compressed air energy storage systems," Applied Energy, Elsevier, vol. 283(C).
    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).

    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. 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).
    2. 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.
    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. 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.
    5. 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.
    6. Li, Chengchen & Wang, Huanran & He, Xin & Zhang, Yan, 2022. "Experimental and thermodynamic investigation on isothermal performance of large-scaled liquid piston," Energy, Elsevier, vol. 249(C).
    7. 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.
    8. Courtois, Nicolas & Najafiyazdi, Mostafa & Lotfalian, Reza & Boudreault, Richard & Picard, Mathieu, 2021. "Analytical expression for the evaluation of multi-stage adiabatic-compressed air energy storage (A-CAES) systems cycle efficiency," Applied Energy, Elsevier, vol. 288(C).
    9. 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).
    10. 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.
    11. 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).
    12. Thomas Guewouo & Lingai Luo & Dominique Tarlet & Mohand Tazerout, 2019. "Identification of Optimal Parameters for a Small-Scale Compressed-Air Energy Storage System Using Real Coded Genetic Algorithm," Energies, MDPI, vol. 12(3), pages 1-32, January.
    13. 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.
    14. 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.
    15. 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).
    16. 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).
    17. Du, Ruxue & He, Yang & Chen, Haisheng & Xu, Yujie & Li, Wen & Deng, Jianqiang, 2022. "Performance and economy of trigenerative adiabatic compressed air energy storage system based on multi-parameter analysis," Energy, Elsevier, vol. 238(PA).
    18. 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.
    19. 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).
    20. 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.

    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:228:y:2018:i:c:p:1198-1219. 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.