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Dual mixed refrigerant LNG process: Uncertainty quantification and dimensional reduction sensitivity analysis

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  • Qyyum, Muhammad Abdul
  • Duong, Pham Luu Trung
  • Minh, Le Quang
  • Lee, Sanggyu
  • Lee, Moonyong

Abstract

The dual mixed refrigerant (DMR) liquefaction process is complicated and sensitive compared to the competitive propane pre-cooled mixed refrigerant liquefied natural gas (LNG) process. When any uncertainty is introduced to the process operation conditions, it is necessary for the DMR process to be re-optimized to maintain efficient operation at a minimal cost. However, in actual operation, re-optimization is a challenging task when the process operational input variables are varied, typically owing to the lack of information regarding the nature, impact, and levels of uncertainty. Within this context, this study investigates the uncertainty levels in the overall energy consumption and minimum internal temperature approach (MITA) inside LNG heat exchangers with variations in the operational variables of the DMR processes. Moreover, a global sensitivity analysis is conducted to identify the influence of random inputs on the process performance parameters. The required energy is significantly influenced by the variations in the variables in the cold mixed refrigerant (approximately 63%), while changes in the warm mixed refrigerant (WMR) section only slightly affect the uncertainty of the required specific energy. Furthermore, the probability distribution of the approach temperature (MITA1) inside the WMR exchanger is mainly affected by changes in the compositions of methane, ethane, and propane, as well as the high pressure of the cold mixed refrigerant (approximately 97%). Conversely, the flow rate of ethane and low pressure of the WMR significantly affect the uncertainty of the approach temperature (MITA2) inside the cold mixed refrigerant exchanger.

Suggested Citation

  • Qyyum, Muhammad Abdul & Duong, Pham Luu Trung & Minh, Le Quang & Lee, Sanggyu & Lee, Moonyong, 2019. "Dual mixed refrigerant LNG process: Uncertainty quantification and dimensional reduction sensitivity analysis," Applied Energy, Elsevier, vol. 250(C), pages 1446-1456.
    • Handle: RePEc:eee:appene:v:250:y:2019:i:c:p:1446-1456
    DOI: 10.1016/j.apenergy.2019.05.004
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    Cited by:

    1. Rehman, Ali & Qyyum, Muhammad Abdul & Qadeer, Kinza & Zakir, Fatima & Ding, Yulong & Lee, Moonyong & Wang, Li, 2020. "Integrated biomethane liquefaction using exergy from the discharging end of a liquid air energy storage system," Applied Energy, Elsevier, vol. 260(C).
    2. Muhammad Abdul Qyyum & Muhammad Yasin & Alam Nawaz & Tianbiao He & Wahid Ali & Junaid Haider & Kinza Qadeer & Abdul-Sattar Nizami & Konstantinos Moustakas & Moonyong Lee, 2020. "Single-Solution-Based Vortex Search Strategy for Optimal Design of Offshore and Onshore Natural Gas Liquefaction Processes," Energies, MDPI, vol. 13(7), pages 1-22, April.
    3. Sadaghiani, Mirhadi S. & Siahvashi, Arman & Norris, Bruce W.E. & Al Ghafri, Saif Z.S. & Arami-Niya, Arash & May, Eric F., 2022. "Prediction of solid formation conditions in mixed refrigerants with iso-pentane and methane at high pressures and cryogenic temperatures," Energy, Elsevier, vol. 250(C).
    4. Qyyum, Muhammad Abdul & He, Tianbiao & Qadeer, Kinza & Mao, Ning & Lee, Sanggyu & Lee, Moonyong, 2020. "Dual-effect single-mixed refrigeration cycle: An innovative alternative process for energy-efficient and cost-effective natural gas liquefaction," Applied Energy, Elsevier, vol. 268(C).
    5. He, Tianbiao & Zhou, Zhongming & Mao, Ning & Qyyum, Muhammad Abdul, 2024. "Transcritical CO2 precooled single mixed refrigerant natural gas liquefaction process: Exergy and Exergoeconomic optimization," Energy, Elsevier, vol. 294(C).
    6. Geng, Jinliang & Sun, Heng, 2023. "Optimization and analysis of a hydrogen liquefaction process: Energy, exergy, economic, and uncertainty quantification analysis," Energy, Elsevier, vol. 262(PA).
    7. Kazmi, Bilal & Haider, Junaid & Ammar Taqvi, Syed Ali & Qyyum, Muhammad Abdul & Ali, Syed Imran & Hussain Awan, Zahoor Ul & Lim, Hankwon & Naqvi, Muhammad & Naqvi, Salman Raza, 2022. "Thermodynamic and economic assessment of cyano functionalized anion based ionic liquid for CO2 removal from natural gas integrated with, single mixed refrigerant liquefaction process for clean energy," Energy, Elsevier, vol. 239(PE).
    8. Wang, Xucen & Li, Min & Cai, Liuxi & Li, Yun, 2020. "Propane and iso-butane pre-cooled mixed refrigerant liquefaction process for small-scale skid-mounted natural gas liquefaction," Applied Energy, Elsevier, vol. 275(C).
    9. Sarfaraz, Bisma & Kazmi, Bilal & Taqvi, Syed Ali Ammar & Raza, Faizan & Rashid, Rushna & Siddiqui, Leenah & Zehra, Syeda Fatima & Bokhari, Awais & Jaromír Klemeš, Jiří & Ouladsmane, Mohamed, 2023. "Thermodynamic evaluation of mixed refrigerant selection in dual mixed refrigerant NG liquefaction process with respect to 3E's (Energy, Exergy, Economics)," Energy, Elsevier, vol. 283(C).
    10. Qyyum, Muhammad Abdul & Ahmed, Faisal & Nawaz, Alam & He, Tianbiao & Lee, Moonyong, 2021. "Teaching-learning self-study approach for optimal retrofitting of dual mixed refrigerant LNG process: Energy and exergy perspective," Applied Energy, Elsevier, vol. 298(C).
    11. Lei Gao & Jiaxin Wang & Maxime Binama & Qian Li & Weihua Cai, 2022. "The Design and Optimization of Natural Gas Liquefaction Processes: A Review," Energies, MDPI, vol. 15(21), pages 1-56, October.
    12. Ali Shah, Syed Fahad & Qyyum, Muhammad Abdul & Qadeer, Kinza & Lee, Moonyong, 2021. "Sustainable economic growth and export diversification potential for Asian LNG-exporting countries: LNG–petrochemical nexus development using product space model," Energy, Elsevier, vol. 236(C).

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