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Automatically varying the composition of a mixed refrigerant solution for single mixed refrigerant LNG (liquefied natural gas) process at changing working conditions

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  • Xu, Xiongwen
  • Liu, Jinping
  • Cao, Le
  • Pang, Weiqiang

Abstract

The SMR (single mixed refrigerant) process is widely used in the small- and medium-scale liquefaction of NG (natural gas). Operating the MR (mixed-refrigerant) process outside of the design specifications is difficult but essential to save energy. Nevertheless, it is difficult to realize because the process needs to alter the working refrigerant composition. To address this challenge, this study investigated the performance diagnosis mechanism for SMR process. A control strategy was then proposed to control the changes in working refrigerant composition under different working conditions. This strategy separates the working refrigerant flow in the SMR process into three flows through two phase separators before it flows into the cold box. The first liquid flow is rich in the high-temperature component (isopentane). The second liquid flow is rich in the middle-temperature components (ethylene and propane), and the gas flow is rich in the low-temperature components (nitrogen and methane). By adjusting the flow rates, it is easy to decouple the control variables and automate the system. Finally, this approach was validated by process simulation and shown to be highly adaptive and exergy efficient in response to changing working conditions.

Suggested Citation

  • Xu, Xiongwen & Liu, Jinping & Cao, Le & Pang, Weiqiang, 2014. "Automatically varying the composition of a mixed refrigerant solution for single mixed refrigerant LNG (liquefied natural gas) process at changing working conditions," Energy, Elsevier, vol. 64(C), pages 931-941.
    • Handle: RePEc:eee:energy:v:64:y:2014:i:c:p:931-941
    DOI: 10.1016/j.energy.2013.10.040
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    6. Fazlollahi, Farhad & Bown, Alex & Ebrahimzadeh, Edris & Baxter, Larry L., 2015. "Design and analysis of the natural gas liquefaction optimization process- CCC-ES (energy storage of cryogenic carbon capture)," Energy, Elsevier, vol. 90(P1), pages 244-257.
    7. Oh, Jin-Sik & Binns, Michael & Park, Sangmin & Kim, Jin-Kuk, 2016. "Improving the energy efficiency of industrial refrigeration systems," Energy, Elsevier, vol. 112(C), pages 826-835.
    8. He, Tianbiao & Liu, Zuming & Ju, Yonglin & Parvez, Ashak Mahmud, 2019. "A comprehensive optimization and comparison of modified single mixed refrigerant and parallel nitrogen expansion liquefaction process for small-scale mobile LNG plant," Energy, Elsevier, vol. 167(C), pages 1-12.
    9. Kim, Juwon & Seo, Youngkyun & Chang, Daejun, 2016. "Economic evaluation of a new small-scale LNG supply chain using liquid nitrogen for natural-gas liquefaction," Applied Energy, Elsevier, vol. 182(C), pages 154-163.
    10. He, Tianbiao & Mao, Ning & Liu, Zuming & Qyyum, Muhammad Abdul & Lee, Moonyong & Pravez, Ashak Mahmud, 2020. "Impact of mixed refrigerant selection on energy and exergy performance of natural gas liquefaction processes," Energy, Elsevier, vol. 199(C).
    11. Xuan, Ivan Ying & Skourup, Charlotte & Jensen, Jørgen B. & Haugen, Trond & Thornhill, Nina F., 2022. "Flexible operation of a mixed fluid cascade LNG plant for electrical power management," Energy, Elsevier, vol. 250(C).
    12. Khan, Mohd Shariq & I.A. Karimi, & Bahadori, Alireza & Lee, Moonyong, 2015. "Sequential coordinate random search for optimal operation of LNG (liquefied natural gas) plant," Energy, Elsevier, vol. 89(C), pages 757-767.
    13. Song, Chang & Tan, Shuai & Qu, Fengcheng & Liu, Weidong & Wu, Yong, 2019. "Optimization of mixed refrigerant system for LNG processes through graphically reducing exergy destruction of cryogenic heat exchangers," Energy, Elsevier, vol. 168(C), pages 200-206.

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