IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i10p1620-d115213.html
   My bibliography  Save this article

Development of a Numerical Approach to Simulate Compressed Air Energy Storage Subjected to Cyclic Internal Pressure

Author

Listed:
  • Song-Hun Chong

    (High Speed Railroad Systems Research Center, Korea Railroad Research Institute, 176, Cheoldo bangmulgwan-ro, Uiwang-si, Gyeonggi-do 437-757, Korea)

Abstract

This paper analyzes the long-term response of unlined energy storage located at shallow depth to improve the distance between a wind farm and storage. The numerical approach follows the hybrid scheme that combined a mechanical constitutive model to extract stress and strains at the first cycle and polynomial-type strain accumulation functions to track the progressive plastic deformation. In particular, the strain function includes the fundamental features that requires simulating the long-term response of geomaterials: volumetric strain (terminal void ratio) and shear strain (shakedown and ratcheting), the strain accumulation rate, and stress obliquity. The model is tested with a triaxial strain boundary condition under different stress obliquities. The unlined storage subjected to cyclic internal stress is simulated with different storage geometries and stress amplitudes that play a crucial role in estimating the long-term mechanical stability of underground storage. The simulations present the evolution of ground surface, yet their incremental rate approaches towards a terminal void ratio. With regular and smooth displacement fields for the large number of cycles, the inflection point is estimated with the previous surface settlement model.

Suggested Citation

  • Song-Hun Chong, 2017. "Development of a Numerical Approach to Simulate Compressed Air Energy Storage Subjected to Cyclic Internal Pressure," Energies, MDPI, vol. 10(10), pages 1-12, October.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1620-:d:115213
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/10/1620/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/10/10/1620/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Denholm, Paul & Sioshansi, Ramteen, 2009. "The value of compressed air energy storage with wind in transmission-constrained electric power systems," Energy Policy, Elsevier, vol. 37(8), pages 3149-3158, August.
    2. Kim, Hyung-Mok & Rutqvist, Jonny & Ryu, Dong-Woo & Choi, Byung-Hee & Sunwoo, Choon & Song, Won-Kyong, 2012. "Exploring the concept of compressed air energy storage (CAES) in lined rock caverns at shallow depth: A modeling study of air tightness and energy balance," Applied Energy, Elsevier, vol. 92(C), pages 653-667.
    3. Giramonti, Albert J. & Lessard, Robert D. & Blecher, William A. & Smith, Edward B., 1978. "Conceptual design of compressed air energy storage electric power systems," Applied Energy, Elsevier, vol. 4(4), pages 231-249, October.
    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. Widjonarko & Rudy Soenoko & Slamet Wahyudi & Eko Siswanto, 2019. "Comparison of Intelligence Control Systems for Voltage Controlling on Small Scale Compressed Air Energy Storage," Energies, MDPI, vol. 12(5), pages 1-23, February.

    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. Madlener, Reinhard & Latz, Jochen, 2013. "Economics of centralized and decentralized compressed air energy storage for enhanced grid integration of wind power," Applied Energy, Elsevier, vol. 101(C), pages 299-309.
    2. Venkataramani, Gayathri & Parankusam, Prasanna & Ramalingam, Velraj & Wang, Jihong, 2016. "A review on compressed air energy storage – A pathway for smart grid and polygeneration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 895-907.
    3. 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.
    4. Qin, Chao & Saunders, Gordon & Loth, Eric, 2017. "Offshore wind energy storage concept for cost-of-rated-power savings," Applied Energy, Elsevier, vol. 201(C), pages 148-157.
    5. Shahmohammadi, Ali & Sioshansi, Ramteen & Conejo, Antonio J. & Afsharnia, Saeed, 2018. "Market equilibria and interactions between strategic generation, wind, and storage," Applied Energy, Elsevier, vol. 220(C), pages 876-892.
    6. Fan, Jinyang & Liu, Wei & Jiang, Deyi & Chen, Junchao & Ngaha Tiedeu, William & Chen, Jie & JJK, Deaman, 2018. "Thermodynamic and applicability analysis of a hybrid CAES system using abandoned coal mine in China," Energy, Elsevier, vol. 157(C), pages 31-44.
    7. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    8. Rabiee, Abdorreza & Khorramdel, Hossein & Aghaei, Jamshid, 2013. "A review of energy storage systems in microgrids with wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 316-326.
    9. Yang, Chunhe & Wang, Tongtao & Li, Yinping & Yang, Haijun & Li, Jianjun & Qu, Dan’an & Xu, Baocai & Yang, Yun & Daemen, J.J.K., 2015. "Feasibility analysis of using abandoned salt caverns for large-scale underground energy storage in China," Applied Energy, Elsevier, vol. 137(C), pages 467-481.
    10. He, Qing & Li, Guoqing & Lu, Chang & Du, Dongmei & Liu, Wenyi, 2019. "A compressed air energy storage system with variable pressure ratio and its operation control," Energy, Elsevier, vol. 169(C), pages 881-894.
    11. 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.
    12. He, Xian & Delarue, Erik & D'haeseleer, William & Glachant, Jean-Michel, 2011. "A novel business model for aggregating the values of electricity storage," Energy Policy, Elsevier, vol. 39(3), pages 1575-1585, March.
    13. Spyros Giannelos & Predrag Djapic & Danny Pudjianto & Goran Strbac, 2020. "Quantification of the Energy Storage Contribution to Security of Supply through the F-Factor Methodology," Energies, MDPI, vol. 13(4), pages 1-15, February.
    14. Zhang, Weifeng & Ding, Jialu & Yin, Suzhen & Zhang, Fangyuan & Zhang, Yao & Liu, Zhan, 2024. "Thermo-economic optimization of an artificial cavern compressed air energy storage with CO2 pressure stabilizing unit," Energy, Elsevier, vol. 294(C).
    15. Ghadi, Mojtaba Jabbari & Azizivahed, Ali & Mishra, Dillip Kumar & Li, Li & Zhang, Jiangfeng & Shafie-khah, Miadreza & Catalão, João P.S., 2021. "Application of small-scale compressed air energy storage in the daily operation of an active distribution system," Energy, Elsevier, vol. 231(C).
    16. Wu, Di & Wang, J.G. & Hu, Bowen & Yang, Sheng-Qi, 2020. "A coupled thermo-hydro-mechanical model for evaluating air leakage from an unlined compressed air energy storage cavern," Renewable Energy, Elsevier, vol. 146(C), pages 907-920.
    17. Paul Neetzow & Roman Mendelevitch & Sauleh Siddiqui, 2018. "Modeling Coordination between Renewables and Grid: Policies to Mitigate Distribution Grid Constraints Using Residential PV-Battery Systems," Discussion Papers of DIW Berlin 1766, DIW Berlin, German Institute for Economic Research.
    18. Go, Roderick S. & Munoz, Francisco D. & Watson, Jean-Paul, 2016. "Assessing the economic value of co-optimized grid-scale energy storage investments in supporting high renewable portfolio standards," Applied Energy, Elsevier, vol. 183(C), pages 902-913.
    19. Fallahi, Farhad & Nick, Mostafa & Riahy, Gholam H. & Hosseinian, Seyed Hossein & Doroudi, Aref, 2014. "The value of energy storage in optimal non-firm wind capacity connection to power systems," Renewable Energy, Elsevier, vol. 64(C), pages 34-42.
    20. Yangfang (Helen) Zhou & Alan Scheller‐Wolf & Nicola Secomandi & Stephen Smith, 2019. "Managing Wind‐Based Electricity Generation in the Presence of Storage and Transmission Capacity," Production and Operations Management, Production and Operations Management Society, vol. 28(4), pages 970-989, April.

    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:10:y:2017:i:10:p:1620-:d:115213. 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.