IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i9p3299-d806757.html
   My bibliography  Save this article

Research on Operation Optimization of LNG Submerged Pump System in LNG Receiving Terminals

Author

Listed:
  • Baoqing Wang

    (Sinopec Tianjin Liquefied Natural Gas Co., Ltd., Tianjin 300457, China)

  • Kun Chen

    (Petroleum Engineering School, Southwest Petroleum University, Chengdu 610500, China)

  • Cheng Huang

    (Institute of Photovoltaic, Southwest Petroleum University, Chengdu 610500, China)

  • Jinrui Zhao

    (Sinopec Tianjin Liquefied Natural Gas Co., Ltd., Tianjin 300457, China)

  • Yaotong Zhang

    (Sinopec Tianjin Liquefied Natural Gas Co., Ltd., Tianjin 300457, China)

  • Dequan Li

    (Sinopec Tianjin Liquefied Natural Gas Co., Ltd., Tianjin 300457, China)

  • Lin Wang

    (School of Mechatronic Engineering, Southwest Petroleum University, Chengdu 610500, China)

Abstract

This paper focuses on improving the operating efficiency of the Liquified Natural Gas (LNG) submerged pump system in the LNG receiving terminals and achieve energy saving. The minimum input energy consumption of the LNG submerged pump system is taken as the objective function, and an optimization model for the operation of the LNG submerged pump system with variable frequency speed is established. LINGO18.0 optimization software is used to solve the model to get the optimal LNG submerged pump operation plan that satisfies the constraints. Taking a certain LNG receiving terminal as an example, the operation optimization of its LNG submerged pump system is carried out, and the input energy consumption of the system before and after optimization is compared. The results show that the use of variable frequency pumps can reduce the energy consumption of the LNG submerged pump system of LNG receiving terminals, and the optimization model can reduce the input power consumption of the system by about 10% under different transportation conditions. After applying the optimization model to actual production, it is found that the model has certain practicability for guiding the production of LNG receiving terminal.

Suggested Citation

  • Baoqing Wang & Kun Chen & Cheng Huang & Jinrui Zhao & Yaotong Zhang & Dequan Li & Lin Wang, 2022. "Research on Operation Optimization of LNG Submerged Pump System in LNG Receiving Terminals," Energies, MDPI, vol. 15(9), pages 1-12, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:9:p:3299-:d:806757
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/9/3299/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/9/3299/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhuan, Xiangtao & Xia, Xiaohua, 2013. "Optimal operation scheduling of a pumping station with multiple pumps," Applied Energy, Elsevier, vol. 104(C), pages 250-257.
    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. Kagiri, Charles & Wanjiru, Evan M. & Zhang, Lijun & Xia, Xiaohua, 2018. "Optimized response to electricity time-of-use tariff of a compressed natural gas fuelling station," Applied Energy, Elsevier, vol. 222(C), pages 244-256.
    2. Filipe, Jorge & Bessa, Ricardo J. & Reis, Marisa & Alves, Rita & Póvoa, Pedro, 2019. "Data-driven predictive energy optimization in a wastewater pumping station," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    3. Anselma, Pier Giuseppe, 2022. "Computationally efficient evaluation of fuel and electrical energy economy of plug-in hybrid electric vehicles with smooth driving constraints," Applied Energy, Elsevier, vol. 307(C).
    4. Du Plessis, Gideon Edgar & Liebenberg, Leon & Mathews, Edward Henry, 2013. "The use of variable speed drives for cost-effective energy savings in South African mine cooling systems," Applied Energy, Elsevier, vol. 111(C), pages 16-27.
    5. Wanjiru, Evan M. & Sichilalu, Sam M. & Xia, Xiaohua, 2017. "Model predictive control of heat pump water heater-instantaneous shower powered with integrated renewable-grid energy systems," Applied Energy, Elsevier, vol. 204(C), pages 1333-1346.
    6. Xiaoli Feng & Baoyun Qiu & Yongxing Wang, 2020. "Optimizing Parallel Pumping Station Operations in an Open-Channel Water Transfer System Using an Efficient Hybrid Algorithm," Energies, MDPI, vol. 13(18), pages 1-19, September.
    7. Zhang, Lijun & Chennells, Michael & Xia, Xiaohua, 2018. "A power dispatch model for a ferrochrome plant heat recovery cogeneration system," Applied Energy, Elsevier, vol. 227(C), pages 180-189.
    8. Torregrossa, Dario & Hansen, Joachim & Hernández-Sancho, Francesc & Cornelissen, Alex & Schutz, Georges & Leopold, Ulrich, 2017. "A data-driven methodology to support pump performance analysis and energy efficiency optimization in Waste Water Treatment Plants," Applied Energy, Elsevier, vol. 208(C), pages 1430-1440.
    9. Muller, C.J. & Craig, I.K., 2016. "Energy reduction for a dual circuit cooling water system using advanced regulatory control," Applied Energy, Elsevier, vol. 171(C), pages 287-295.
    10. Kernan, R. & Liu, X. & McLoone, S. & Fox, B., 2017. "Demand side management of an urban water supply using wholesale electricity price," Applied Energy, Elsevier, vol. 189(C), pages 395-402.
    11. Wanjiru, Evan M. & Xia, Xiaohua, 2015. "Energy-water optimization model incorporating rooftop water harvesting for lawn irrigation," Applied Energy, Elsevier, vol. 160(C), pages 521-531.
    12. Leandro Alves Evangelista & Gustavo Meirelles & Bruno Brentan, 2023. "Computational Model of Water Distribution Network Life Cycle Deterioration," Sustainability, MDPI, vol. 15(19), pages 1-14, October.
    13. Numbi, B.P. & Xia, X., 2016. "Optimal energy control of a crushing process based on vertical shaft impactor," Applied Energy, Elsevier, vol. 162(C), pages 1653-1661.
    14. Feng, Zhong-kai & Niu, Wen-jing & Cheng, Chun-tian & Zhou, Jian-zhong, 2017. "Peak shaving operation of hydro-thermal-nuclear plants serving multiple power grids by linear programming," Energy, Elsevier, vol. 135(C), pages 210-219.
    15. Wanjiru, Evan M. & Zhang, Lijun & Xia, Xiaohua, 2016. "Model predictive control strategy of energy-water management in urban households," Applied Energy, Elsevier, vol. 179(C), pages 821-831.
    16. Sichilalu, Sam & Wamalwa, Fhazhil & Akinlabi, Esther T., 2019. "Optimal control of wind-hydrokinetic pumpback hydropower plant constrained with ecological water flows," Renewable Energy, Elsevier, vol. 138(C), pages 54-69.
    17. Zhang, Lijun & Xia, Xiaohua & Zhang, Jiangfeng, 2014. "Improving energy efficiency of cyclone circuits in coal beneficiation plants by pump-storage systems," Applied Energy, Elsevier, vol. 119(C), pages 306-313.
    18. Naval, Natalia & Yusta, Jose M., 2022. "Comparative assessment of different solar tracking systems in the optimal management of PV-operated pumping stations," Renewable Energy, Elsevier, vol. 200(C), pages 931-941.
    19. Kopanos, Georgios M. & Xenos, Dionysios P. & Cicciotti, Matteo & Pistikopoulos, Efstratios N. & Thornhill, Nina F., 2015. "Optimization of a network of compressors in parallel: Operational and maintenance planning – The air separation plant case," Applied Energy, Elsevier, vol. 146(C), pages 453-470.
    20. Numbi, B.P. & Xia, X., 2015. "Systems optimization model for energy management of a parallel HPGR crushing process," Applied Energy, Elsevier, vol. 149(C), pages 133-147.

    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:15:y:2022:i:9:p:3299-:d:806757. 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.