IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v296y2024ics0360544224006509.html
   My bibliography  Save this article

Operational strategy to minimize operating cost in LNG terminal using a comprehensive numerical boil-off gas model

Author

Listed:
  • Kang, Goanwoo
  • Im, Junyoung
  • Lee, Chul-Jin

Abstract

To address global warming and climate change, many countries have made efforts to reduce greenhouse gas emissions. Natural gas is a sustainable and promising energy source that emits half as much carbon dioxide (CO2) as coal. Because the European Union includes natural gas in its green classification system, its demand is expected to increase. However, owing to its characteristics, natural gas must be stored in a cryogenic liquid state, leading to an increase in the boil-off gas (BOG) processing costs and affecting the stable supply of liquid natural gas (LNG) terminals with increasing LNG transaction volume. This study proposes Send-out controlling to reduce the operating costs of LNG terminals. Send-out controlling replaces the excessive power consumption of high pressure (HP) compressors with pumps. It was performed using an integrated BOG numerical model and the heat exchange ratios between LNG and BOG. Unlike existing equipment and insulation enhancements, Send-out controlling does not incur additional costs. By applying the proposed Send-out controlling method and replacing the HP compressors with pumps, the operating cost of the LNG terminal can be reduced by 11.75%. This study proposed an operational scenario for an LNG terminal that is expected to contribute to reducing the operating costs of LNG terminals without installing any additional equipment.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:energy:v:296:y:2024:i:c:s0360544224006509
    DOI: 10.1016/j.energy.2024.130878
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224006509
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2024.130878?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. Park, Chansaem & Song, Kiwook & Lee, Sangho & Lim, Youngsub & Han, Chonghun, 2012. "Retrofit design of a boil-off gas handling process in liquefied natural gas receiving terminals," Energy, Elsevier, vol. 44(1), pages 69-78.
    2. Miana, Mario & Hoyo, Rafael del & Rodrigálvarez, Vega & Valdés, José Ramón & Llorens, Raúl, 2010. "Calculation models for prediction of Liquefied Natural Gas (LNG) ageing during ship transportation," Applied Energy, Elsevier, vol. 87(5), pages 1687-1700, May.
    3. Mohd Shariq Khan & Muhammad Abdul Qyyum & Wahid Ali & Aref Wazwaz & Khursheed B. Ansari & Moonyong Lee, 2020. "Energy Saving through Efficient BOG Prediction and Impact of Static Boil-off-Rate in Full Containment-Type LNG Storage Tank," Energies, MDPI, vol. 13(21), pages 1-14, October.
    4. Maxwell, Don & Zhu, Zhen, 2011. "Natural gas prices, LNG transport costs, and the dynamics of LNG imports," Energy Economics, Elsevier, vol. 33(2), pages 217-226, March.
    5. 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).
    6. He, Tianbiao & Chong, Zheng Rong & Zheng, Junjie & Ju, Yonglin & Linga, Praveen, 2019. "LNG cold energy utilization: Prospects and challenges," Energy, Elsevier, vol. 170(C), pages 557-568.
    7. Le, Si & Lee, Jui-Yuan & Chen, Cheng-Liang, 2018. "Waste cold energy recovery from liquefied natural gas (LNG) regasification including pressure and thermal energy," Energy, Elsevier, vol. 152(C), pages 770-787.
    8. Wang, Zhihao & Sharafian, Amir & Mérida, Walter, 2020. "Non-equilibrium thermodynamic model for liquefied natural gas storage tanks," Energy, Elsevier, vol. 190(C).
    9. 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).
    10. 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).
    11. Xue, Xiaodi & Guo, Cong & Du, Xiaoze & Yang, Lijun & Yang, Yongping, 2015. "Thermodynamic analysis and optimization of a two-stage organic Rankine cycle for liquefied natural gas cryogenic exergy recovery," Energy, Elsevier, vol. 83(C), pages 778-787.
    12. Mehrpooya, Mehdi & Moftakhari Sharifzadeh, Mohammad Mehdi & Rosen, Marc A., 2015. "Optimum design and exergy analysis of a novel cryogenic air separation process with LNG (liquefied natural gas) cold energy utilization," Energy, Elsevier, vol. 90(P2), pages 2047-2069.
    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. Huerta, Felipe & Vesovic, Velisa, 2019. "A realistic vapour phase heat transfer model for the weathering of LNG stored in large tanks," Energy, Elsevier, vol. 174(C), pages 280-291.
    2. 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).
    3. 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).
    4. Zheng, Siyang & Li, Chenghao & Zeng, Zhiyong, 2022. "Thermo-economic analysis, working fluids selection, and cost projection of a precooler-integrated dual-stage combined cycle (PIDSCC) system utilizing cold exergy of liquefied natural gas," Energy, Elsevier, vol. 238(PC).
    5. 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).
    6. Tian, Zhen & Qi, Zhixin & Gan, Wanlong & Tian, Molin & Gao, Wenzhong, 2022. "A novel negative carbon-emission, cooling, and power generation system based on combined LNG regasification and waste heat recovery: Energy, exergy, economic, environmental (4E) evaluations," Energy, Elsevier, vol. 257(C).
    7. Ong, Chong Wei & Chen, Cheng-Liang, 2019. "Technical and economic evaluation of seawater freezing desalination using liquefied natural gas," Energy, Elsevier, vol. 181(C), pages 429-439.
    8. Qi, Meng & Park, Jinwoo & Lee, Inkyu & Moon, Il, 2022. "Liquid air as an emerging energy vector towards carbon neutrality: A multi-scale systems perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    9. Li, Yongyi & Liu, Yujia & Zhang, Guoqiang & Yang, Yongping, 2020. "Thermodynamic analysis of a novel combined cooling and power system utilizing liquefied natural gas (LNG) cryogenic energy and low-temperature waste heat," Energy, Elsevier, vol. 199(C).
    10. Fernández, Ignacio Arias & Gómez, Manuel Romero & Gómez, Javier Romero & Insua, Álvaro Baaliña, 2017. "Review of propulsion systems on LNG carriers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1395-1411.
    11. Atienza-Márquez, Antonio & Bruno, Joan Carles & Akisawa, Atsushi & Coronas, Alberto, 2019. "Performance analysis of a combined cold and power (CCP) system with exergy recovery from LNG-regasification," Energy, Elsevier, vol. 183(C), pages 448-461.
    12. Ali Rehman & Muhammad Abdul Qyyum & Ashfaq Ahmad & Saad Nawaz & Moonyong Lee & Li Wang, 2020. "Performance Enhancement of Nitrogen Dual Expander and Single Mixed Refrigerant LNG Processes Using Jaya Optimization Approach," Energies, MDPI, vol. 13(12), pages 1-27, June.
    13. Ge, Minghui & Li, Zhenhua & Wang, Yeting & Zhao, Yulong & Zhu, Yu & Wang, Shixue & Liu, Liansheng, 2021. "Experimental study on thermoelectric power generation based on cryogenic liquid cold energy," Energy, Elsevier, vol. 220(C).
    14. Badami, Marco & Bruno, Juan Carlos & Coronas, Alberto & Fambri, Gabriele, 2018. "Analysis of different combined cycles and working fluids for LNG exergy recovery during regasification," Energy, Elsevier, vol. 159(C), pages 373-384.
    15. Bi, Yujing & Ju, Yonglin, 2022. "Design and analysis of an efficient hydrogen liquefaction process based on helium reverse Brayton cycle integrating with steam methane reforming and liquefied natural gas cold energy utilization," Energy, Elsevier, vol. 252(C).
    16. Ong, Chong Wei & Chen, Cheng-Liang, 2021. "Intensification, optimization and economic evaluations of the CO2-capturing oxy-combustion CO2 power system integrated with the utilization of liquefied natural gas cold energy," Energy, Elsevier, vol. 234(C).
    17. Ebrahimi, Armin & Ghorbani, Bahram & Ziabasharhagh, Masoud, 2020. "Introducing a novel integrated cogeneration system of power and cooling using stored liquefied natural gas as a cryogenic energy storage system," Energy, Elsevier, vol. 206(C).
    18. He, Tianbiao & Lv, Hongyu & Shao, Zixian & Zhang, Jibao & Xing, Xialian & Ma, Huigang, 2020. "Cascade utilization of LNG cold energy by integrating cryogenic energy storage, organic Rankine cycle and direct cooling," Applied Energy, Elsevier, vol. 277(C).
    19. Liu, Yang & Han, Jitian & You, Huailiang, 2020. "Exergoeconomic analysis and multi-objective optimization of a CCHP system based on LNG cold energy utilization and flue gas waste heat recovery with CO2 capture," Energy, Elsevier, vol. 190(C).
    20. Chen, Kang & Han, Zihao & Fan, Gang & Zhang, Yicen & Yu, Haibin & Dai, Yiping, 2023. "Optimum design point exploration and performance analysis of a novel CO2 power generation system for LNG cold energy recovery: Considering the temperature fluctuation of heat source," Energy, Elsevier, vol. 275(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:296:y:2024:i:c:s0360544224006509. 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.