LAPSE:2024.0820
Published Article
LAPSE:2024.0820
A New Multi-Objective Optimization Strategy for Improved C3MR Liquefaction Process
Fenghe Cui, Lei Pan, Yi Pang, Jianwei Chen, Fan Shi, Yin Liang
June 7, 2024
Abstract
In the traditional C3MR process (T-C3MR), the boiling gas (BOG) output from the last stage of the gas−liquid separator is directly discharged, in which the excellent low-temperature capability is not utilized, and the system efficiency is decreased. In liquefied natural gas (LNG), single-objective optimization methods are commonly used to optimize system parameters, which may result in incomplete system analysis. To solve the above problems, this paper proposes a multi-objective optimization strategy for the improved C3MR process(I-C3MR) based on a new multi-objective optimization algorithm called EHR-GWO-GA. Firstly, the main work proposes an I-C3MR structure. Secondly, an optimization strategy of the I-C3MR with the maximization of liquefaction amount, minimization of unit energy consumption and minimization of exergy loss as objective functions are proposed. Based on the optimization results, the influence of decision variables on liquefaction amount, unit energy consumption and exergy loss are analyzed, and the results show that the decision variables have good adaptability. Finally, a detailed exergy analysis of the equipment used is made, and the results show that the main exergy losses come from the water coolers and compressors, accounting for 32% and 34%, respectively. Compared to the T-C3MR, the improved C3MR based on EHR-GWO-GA(E-C3MR) has an approximate 8% increase in liquefaction amount—a roughly 23% decrease in unit energy consumption and a decrease of nearly 24% in exergy loss.
Keywords
C3MR, exergy analysis, high-pressure natural gas, liquefaction process, multi-objective optimization, unit energy consumption
Suggested Citation
Cui F, Pan L, Pang Y, Chen J, Shi F, Liang Y. A New Multi-Objective Optimization Strategy for Improved C3MR Liquefaction Process. (2024). LAPSE:2024.0820
Author Affiliations
Cui F: School of Control and Mechanical Engineering, Tianjin Chengjian University, Tianjin 300380, China
Pan L: School of Control and Mechanical Engineering, Tianjin Chengjian University, Tianjin 300380, China
Pang Y: School of Control and Mechanical Engineering, Tianjin Chengjian University, Tianjin 300380, China
Chen J: School of Control and Mechanical Engineering, Tianjin Chengjian University, Tianjin 300380, China
Shi F: School of Control and Mechanical Engineering, Tianjin Chengjian University, Tianjin 300380, China
Liang Y: School of Energy and Safety Engineering, Tianjin Chengjian University, Tianjin 300380, China
Journal Name
Processes
Volume
12
Issue
3
First Page
542
Year
2024
Publication Date
2024-03-10
ISSN
2227-9717
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Original Submission
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PII: pr12030542, Publication Type: Journal Article
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LAPSE:2024.0820
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https://doi.org/10.3390/pr12030542
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