Optimization of Inorganic Refrigerants in Cascade LNG Liquefaction Systems: A Response Surface Methodology Approach for Enhanced Energy Efficiency and Sustainability

Authors

  • Chukwuka D Offodum Centre for Gas, Refining and Petrochemical Engineering. University of Port Harcourt, Nigeria. Author
  • Akuma Oji Centre for Gas, Refining and Petrochemical Engineering. University of Port Harcourt, Nigeria Author
  • Ifeanyichukwu U Onyenanu Department of Mechanical Engineering, Chukwuemeka Odumegwu Ojukwu University, Nigeria Author

DOI:

https://doi.org/10.47363/JEAST/2025(7)306

Keywords:

LNG Liquefaction, Inorganic Refrigerants, Cascade Refrigeration Systems, Response Surface Methodology (RSM), Exergy Efficiency, Thermodynamic Optimization, Sustainable Energy Systems

Abstract

The global energy transition has intensified the demand for sustainable liquefied natural gas (LNG) production, necessitating advanced refrigeration systems with minimal environmental impact. This study presents a comprehensive thermodynamic optimization of inorganic refrigerants (xenon, argon, krypton, nitrogen) in cascade LNG liquefaction cycles using response surface methodology (RSM). Through Aspen HYSYS modeling and I-optimal design experiments, key performance metrics—coefficient of performance (COP), cooling capacity, specific work, exergetic efficiency, and overall thermal efficiency—were evaluated across varying evaporating temperatures (−50°C to −30°C) and pressure regimes (10–30 bar). Results demonstrate that xenon achieves superior performance, with a COP of 3.6 and exergetic efficiency of 89% at optimal conditions (−44.5°C, 10.78 bar), outperforming conventional mixed refrigerants (C3MR) by 16.6% in specific energy consumption. Exergy analysis reveals that xenon minimizes irreversibility in compression and heat exchange stages, reducing exergy destruction by 21% compared to nitrogen. However, economic constraints due to xenon’s high cost highlight the trade-offs between efficiency and scalability. This work advances sustainable LNG production by identifying energy-efficient refrigerant alternatives while providing a robust RSM framework for industrial process optimization.

Author Biographies

  • Chukwuka D Offodum, Centre for Gas, Refining and Petrochemical Engineering. University of Port Harcourt, Nigeria.

    Chukwuka D Offodum, Centre for Gas, Refining and Petrochemical Engineering. University of Port Harcourt, Nigeria.

  • Akuma Oji, Centre for Gas, Refining and Petrochemical Engineering. University of Port Harcourt, Nigeria

    Akuma Oji, Centre for Gas, Refining and Petrochemical Engineering. University of Port Harcourt, Nigeria

  • Ifeanyichukwu U Onyenanu, Department of Mechanical Engineering, Chukwuemeka Odumegwu Ojukwu University, Nigeria

    Ifeanyichukwu U Onyenanu, Department of Mechanical Engineering, Chukwuemeka Odumegwu Ojukwu University, Nigeria

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Published

2025-04-11