2021
DOI: 10.1016/j.enconman.2021.113835
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Multi-objective optimization of hydrogen liquefaction process integrated with liquefied natural gas system

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Cited by 58 publications
(11 citation statements)
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“…Mafi et al , conducted a comprehensive study on recognizing the behavior of mixed refrigerant refrigerating systems, identifying and investigating their important and key parameters, and optimizing their arrangement using nonlinear mathematical methods. Next, meta-heuristic algorithms were used to reduce the SEC in low-temperature natural gas , and H 2 liquefaction systems. , Table lists the characteristics of the hybrid H 2 liquefaction system that have been optimized using trial and error (TE) methods, sequential quadratic programming (SQP), knowledge-based optimization (KBO), particle swarm optimization (PSO), GA, and modified coordinate descent (MCD) combined with artificial neural networks (ANN).…”
Section: Different Methods To Improve the Performance Of Hydrogen Liq...mentioning
confidence: 99%
See 1 more Smart Citation
“…Mafi et al , conducted a comprehensive study on recognizing the behavior of mixed refrigerant refrigerating systems, identifying and investigating their important and key parameters, and optimizing their arrangement using nonlinear mathematical methods. Next, meta-heuristic algorithms were used to reduce the SEC in low-temperature natural gas , and H 2 liquefaction systems. , Table lists the characteristics of the hybrid H 2 liquefaction system that have been optimized using trial and error (TE) methods, sequential quadratic programming (SQP), knowledge-based optimization (KBO), particle swarm optimization (PSO), GA, and modified coordinate descent (MCD) combined with artificial neural networks (ANN).…”
Section: Different Methods To Improve the Performance Of Hydrogen Liq...mentioning
confidence: 99%
“…Several strategies have been utilized to decrease the SEC in H 2 liquefaction systems. These techniques include using absorption and ejector cooling cycles, LN 2 regasification, , LNG/LAC energy recovery, , cascade liquefaction process, ,, multicomponent refrigerant cycle, integration with other integrated structures, , optimization algorithms, , combined with renewable energy sources, and the pinch approach. , Yilmaz et al developed seven H 2 production and liquefaction cycles according to geothermal energy, the absorption cooling cycle (ACC) to precooling, and the L–H process for liquefaction. The price of H 2 liquefaction was calculated to be 0.98–2.62 $/kgLH 2 .…”
Section: Introductionmentioning
confidence: 99%
“…They showed that compared with the hydrogen liquefaction process without LNG cold energy, the total specific cost of liquefaction of the proposed design decreased by approximately 7.7%. Bae et al 25 conducted a multiobjective optimization using a genetic algorithm that considered both generated carbon dioxide and energy savings by utilizing LNG in hydrogen liquefaction processes. They suggested quantitative decision-making processes for trade-offs between economic demand and carbon dioxide emissions.…”
Section: Introductionmentioning
confidence: 99%
“…To find an optimal operating condition, the entire process of hydrogen production, liquefaction and CO 2 liquefaction was optimized. Bae et al [16] also attempted to combine the hydrogen liquefaction and LNG regasification processes and conducted a multi-objective optimization that minimized the amount of energy consumed and CO 2 emitted. Yang et al [17] designed a process that used LNG, the LN 2 Brayton cycle, and the GH 2 Brayton cycle to liquefy hydrogen and improve the amount of energy consumed and the economic feasibility of the process.…”
Section: Introductionmentioning
confidence: 99%