IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v290y2024ics0360544223034655.html
   My bibliography  Save this article

Experiment and simulation of LNG self-pressurization considering temperature distribution under varying liquid level

Author

Listed:
  • Kim, Sungwoo
  • Lee, Jong-Gyu
  • Kim, Seongkyu
  • Heo, Joonyong
  • Bang, Chang Seon
  • Lee, Dong-Kil
  • Lee, Hoki
  • Park, Gunil
  • Lee, DongYeon
  • Lim, Youngsub

Abstract

For LNG-fueled ships, estimating the rate of self-pressurization is critical because the pressure limit of an LNG storage tank and the specifications of the boil-off gas processing system depend on the pressure rise rate. However, estimation using a non-equilibrium model exhibits deviated prediction on the pressure increase when thermal stratification is occurred in LNG. Therefore, in this study, a new numerical model is proposed for estimating the self-pressurization of LNG by considering the nonuniform one-dimensional fluid temperature distribution at varying LNG levels. The suggested model was verified using a pilot-scale experiment with a 150 m3 LNG tank capacity. The results show that the proposed model can explain the limited evaporation at a higher level and the vigorous evaporation at a lower level. Furthermore, the suggested model exhibits that the temperature profile in LNG can be determined by the evaporation at the liquid surface according to different levels and can successfully predict the increasing rate of pressure by excluding the assumption of a homogeneous LNG temperature.

Suggested Citation

  • Kim, Sungwoo & Lee, Jong-Gyu & Kim, Seongkyu & Heo, Joonyong & Bang, Chang Seon & Lee, Dong-Kil & Lee, Hoki & Park, Gunil & Lee, DongYeon & Lim, Youngsub, 2024. "Experiment and simulation of LNG self-pressurization considering temperature distribution under varying liquid level," Energy, Elsevier, vol. 290(C).
    • Handle: RePEc:eee:energy:v:290:y:2024:i:c:s0360544223034655
    DOI: 10.1016/j.energy.2023.130071
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223034655
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.130071?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. Jung, Byungchan & Park, Kiheum & Sohn, Younghoon & Oh, Juyoung & Lee, Joon Chae & Jung, Hae Won & Seo, Yutaek & Lim, Youngsub, 2022. "Prediction model of LNG weathering using net mass and heat transfer," Energy, Elsevier, vol. 247(C).
    2. Wang, Zhihao & Sharafian, Amir & Mérida, Walter, 2020. "Non-equilibrium thermodynamic model for liquefied natural gas storage tanks," Energy, Elsevier, vol. 190(C).
    3. Jo, Yeonpyeong & Shin, Kyeongseok & Hwang, Sungwon, 2021. "Development of dynamic simulation model of LNG tank and its operational strategy," Energy, Elsevier, vol. 223(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. Marques, Pedro A. & Ahizi, Samuel & Mendez, Miguel A., 2024. "Real-time data assimilation for the thermodynamic modeling of cryogenic storage tanks," Energy, Elsevier, vol. 302(C).
    2. Kang, Goanwoo & Im, Junyoung & Lee, Chul-Jin, 2024. "Operational strategy to minimize operating cost in LNG terminal using a comprehensive numerical boil-off gas model," Energy, Elsevier, vol. 296(C).
    3. Kim, Jeong Hwan & Lee, Min-Kyung & Jang, Wookil & Lee, Jae-Hun, 2023. "Strain behavior of very new high manganese steel for 200,000 m3 LNG cryogenic storage tank," Energy, Elsevier, vol. 271(C).
    4. Zhou, Mi & Ma, Shuhao & Zhang, Naiqiang, 2023. "Experimental investigation of LPG-releasing processes with varied damage sizes on a pressurized vessel," Energy, Elsevier, vol. 276(C).
    5. Wang, Cheng & Ju, Yonglin & Fu, Yunzhun, 2021. "Dynamic modeling and analysis of LNG fuel tank pressurization under marine conditions," Energy, Elsevier, vol. 232(C).
    6. Bian, Jiang & Guo, Dan & Li, Yuxuan & Cai, Weihua & Hua, Yihuai & Cao, Xuewen, 2022. "Homogeneous nucleation and condensation mechanism of methane gas: A molecular simulation perspective," Energy, Elsevier, vol. 249(C).
    7. Cao, Yan & Mohammadian, Mehrnoush & Pirouzfar, Vahid & Su, Chia-Hung & Khan, Afrasyab, 2021. "Break Even Point analysis of liquefied natural gas process and optimization of its refrigeration cycles with technical and economic considerations," Energy, Elsevier, vol. 237(C).
    8. Wang, Zhihao & Sharafian, Amir & Mérida, Walter, 2022. "Thermal stratification and rollover phenomena in liquefied natural gas tanks," Energy, Elsevier, vol. 238(PC).
    9. Wang, Yue & Wang, Zhaoxi & Wang, Bingbing & Bian, Jiang & Hua, Yihuai & Cai, Weihua, 2023. "Heterogeneous nucleation condensation of methane gas on the wall-A molecular dynamics study," Energy, Elsevier, vol. 283(C).
    10. Kalikatzarakis, Miltiadis & Theotokatos, Gerasimos & Coraddu, Andrea & Sayan, Paul & Wong, Seng Yew, 2022. "Model based analysis of the boil-off gas management and control for LNG fuelled vessels," Energy, Elsevier, vol. 251(C).
    11. Jung, Byungchan & Park, Kiheum & Sohn, Younghoon & Oh, Juyoung & Lee, Joon Chae & Jung, Hae Won & Seo, Yutaek & Lim, Youngsub, 2022. "Prediction model of LNG weathering using net mass and heat transfer," Energy, Elsevier, vol. 247(C).
    12. Jo, Yeonpyeong & Shin, Kyeongseok & Hwang, Sungwon, 2021. "Development of dynamic simulation model of LNG tank and its operational strategy," Energy, Elsevier, vol. 223(C).
    13. Wu, Sixian & Ju, Yonglin, 2021. "Numerical study of the boil-off gas (BOG) generation characteristics in a type C independent liquefied natural gas (LNG) tank under sloshing excitation," Energy, Elsevier, vol. 223(C).
    14. Perez, Fernando & Al Ghafri, Saif Z.S. & Gallagher, Liam & Siahvashi, Arman & Ryu, Yonghee & Kim, Sungwoo & Kim, Sung Gyu & Johns, Michael L. & May, Eric F., 2021. "Measurements of boil-off gas and stratification in cryogenic liquid nitrogen with implications for the storage and transport of liquefied natural gas," Energy, Elsevier, vol. 222(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:290:y:2024:i:c:s0360544223034655. 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.