IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i20p7023-d1256862.html
   My bibliography  Save this article

Performance Analysis of a Diabatic Compressed Air Energy Storage System Fueled with Green Hydrogen

Author

Listed:
  • Luca Migliari

    (Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, Via Marengo 2, 09123 Cagliari, Italy)

  • Davide Micheletto

    (Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, Via Marengo 2, 09123 Cagliari, Italy)

  • Daniele Cocco

    (Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, Via Marengo 2, 09123 Cagliari, Italy)

Abstract

The integration of an increasing share of Renewable Energy Sources (RES) requires the availability of suitable energy storage systems to improve the grid flexibility and Compressed Air Energy Storage (CAES) systems could be a promising option. In this study, a CO 2 -free Diabatic CAES system is proposed and analyzed. The plant configuration is derived from a down-scaled version of the McIntosh Diabatic CAES plant, where the natural gas is replaced with green hydrogen, produced on site by a Proton Exchange Membrane electrolyzer powered by a photovoltaic power plant. In this study, the components of the hydrogen production system are sized to maximize the self-consumption share of PV energy generation and the effect of the design parameters on the H 2 -CAES plant performance are analyzed on a yearly basis. Moreover, a comparison between the use of natural gas and hydrogen in terms of energy consumption and CO 2 emissions is discussed. The results show that the proposed hydrogen fueled CAES can effectively match the generation profile and the yearly production of the natural gas fueled plant by using all the PV energy production, while producing zero CO 2 emissions.

Suggested Citation

  • Luca Migliari & Davide Micheletto & Daniele Cocco, 2023. "Performance Analysis of a Diabatic Compressed Air Energy Storage System Fueled with Green Hydrogen," Energies, MDPI, vol. 16(20), pages 1-17, October.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:20:p:7023-:d:1256862
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/20/7023/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/20/7023/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abbaspour, M. & Satkin, M. & Mohammadi-Ivatloo, B. & Hoseinzadeh Lotfi, F. & Noorollahi, Y., 2013. "Optimal operation scheduling of wind power integrated with compressed air energy storage (CAES)," Renewable Energy, Elsevier, vol. 51(C), pages 53-59.
    2. 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.
    3. 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).
    4. Jin, Xiaolong & Wu, Qiuwei & Jia, Hongjie, 2020. "Local flexibility markets: Literature review on concepts, models and clearing methods," Applied Energy, Elsevier, vol. 261(C).
    5. Gržanić, Mirna & Capuder, Tomislav, 2023. "Collaboration model between Distribution System Operator and flexible prosumers based on a unique dynamic price for electricity and flexibility," Applied Energy, Elsevier, vol. 350(C).
    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. Bazdar, Elaheh & Sameti, Mohammad & Nasiri, Fuzhan & Haghighat, Fariborz, 2022. "Compressed air energy storage in integrated energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    2. King, Marcus & Jain, Anjali & Bhakar, Rohit & Mathur, Jyotirmay & Wang, Jihong, 2021. "Overview of current compressed air energy storage projects and analysis of the potential underground storage capacity in India and the UK," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    3. Akbari, Ebrahim & Hooshmand, Rahmat-Allah & Gholipour, Mehdi & Parastegari, Moein, 2019. "Stochastic programming-based optimal bidding of compressed air energy storage with wind and thermal generation units in energy and reserve markets," Energy, Elsevier, vol. 171(C), pages 535-546.
    4. Guo, Huan & Xu, Yujie & Huang, Lujing & Zhu, Yilin & Liang, Qi & Chen, Haisheng, 2022. "Concise analytical solution and optimization of compressed air energy storage systems with thermal storage," Energy, Elsevier, vol. 258(C).
    5. Matos, Catarina R. & Pereira da Silva, Patrícia & Carneiro, Júlio F., 2023. "Economic assessment for compressed air energy storage business model alternatives," Applied Energy, Elsevier, vol. 329(C).
    6. 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.
    7. Mostafa Nasouri Gilvaei & Mahmood Hosseini Imani & Mojtaba Jabbari Ghadi & Li Li & Anahita Golrang, 2021. "Profit-Based Unit Commitment for a GENCO Equipped with Compressed Air Energy Storage and Concentrating Solar Power Units," Energies, MDPI, vol. 14(3), pages 1-20, January.
    8. Karim L. Anaya & Michael G. Pollitt, 2021. "How to Procure Flexibility Services within the Electricity Distribution System: Lessons from an International Review of Innovation Projects," Energies, MDPI, vol. 14(15), pages 1-26, July.
    9. Benedikt Finnah, 2022. "Optimal bidding functions for renewable energies in sequential electricity markets," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(1), pages 1-27, March.
    10. Dib, Ghady & Haberschill, Philippe & Rullière, Romuald & Revellin, Rémi, 2021. "Modelling small-scale trigenerative advanced adiabatic compressed air energy storage for building application," Energy, Elsevier, vol. 237(C).
    11. 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.
    12. Bossink, Bart A.G., 2017. "Demonstrating sustainable energy: A review based model of sustainable energy demonstration projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1349-1362.
    13. 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.
    14. He, Yang & MengWang, & Chen, Haisheng & Xu, Yujie & Deng, Jianqiang, 2021. "Thermodynamic research on compressed air energy storage system with turbines under sliding pressure operation," Energy, Elsevier, vol. 222(C).
    15. Hasan, Nor Shahida & Hassan, Mohammad Yusri & Abdullah, Hayati & Rahman, Hasimah Abdul & Omar, Wan Zaidi Wan & Rosmin, Norzanah, 2016. "Improving power grid performance using parallel connected Compressed Air Energy Storage and wind turbine system," Renewable Energy, Elsevier, vol. 96(PA), pages 498-508.
    16. Yang, D.L. & Tang, G.H. & Sheng, Q. & Li, X.L. & Fan, Y.H. & He, Y.L. & Luo, K.H., 2023. "Effects of multiple insufficient charging and discharging on compressed carbon dioxide energy storage," Energy, Elsevier, vol. 278(PA).
    17. Llamas, Bernardo & Laín, Carlos & Castañeda, M. Cruz & Pous, Juan, 2018. "Mini-CAES as a reliable and novel approach to storing renewable energy in salt domes," Energy, Elsevier, vol. 144(C), pages 482-489.
    18. Huang, Shucheng & Khajepour, Amir, 2022. "A new adiabatic compressed air energy storage system based on a novel compression strategy," Energy, Elsevier, vol. 242(C).
    19. Liao, Zhirong & Zhong, Hua & Xu, Chao & Ju, Xing & Ye, Feng & Du, Xiaoze, 2020. "Investigation of a packed bed cold thermal storage in supercritical compressed air energy storage systems," Applied Energy, Elsevier, vol. 269(C).
    20. Dzido, Aleksandra & Wołowicz, Marcin & Krawczyk, Piotr, 2022. "Transcritical carbon dioxide cycle as a way to improve the efficiency of a Liquid Air Energy Storage system," Renewable Energy, Elsevier, vol. 196(C), pages 1385-1391.

    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:gam:jeners:v:16:y:2023:i:20:p:7023-:d:1256862. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.