What is it about?
Natural gas is often turned into a liquid (called LNG) to make it easier and cheaper to transport. But this liquefaction process uses a lot of energy, especially for cooling the gas to very low temperatures. This study explores a smarter way to cool natural gas by using two specially designed refrigerant mixtures. By optimizing the ingredients in these mixtures with advanced computer algorithms, we were able to cut energy use by 26% and reduce cooling costs by 13%. Overall, this approach lowered operating expenses by 23%, making the process more efficient and cost-effective for energy companies
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Why is it important?
This study breaks new ground by optimizing both refrigerant cycles simultaneously in a dual multicomponent system - something rarely attempted in previous research. By producing liquefied natural gas (LNG) at higher pressures and milder temperatures (above -112 °C instead of the conventional -160 °C), it avoids the extreme cooling that typically drives up energy costs. The use of a genetic algorithm to explore the full range of refrigerant compositions adds a layer of precision and innovation, enabling a 26% reduction in compressor power and a 23% drop in operational expenses. The timing is especially relevant with global energy systems under pressure to become more efficient and sustainable, this approach offers a practical, scalable solution for LNG producers seeking to cut costs and reduce environmental impact. It aligns with industry trends toward decarbonization and smarter energy use, making it a valuable contribution to both academic and industrial audiences.
Read the Original
This page is a summary of: A Thermo-Economic Optimization of Dual Multicomponent Refrigerant Cycles: Minimizing Operational Expenditure (OPEX) in Natural Gas Liquefaction, Proceedings of the Institution of Civil Engineers - Energy, July 2025, Elsevier,
DOI: 10.1016/j.energy.2025.137562.
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