ISSN: 0256-1115 (print version) ISSN: 1975-7220 (electronic version)
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In relation to this article, we declare that there is no conflict of interest.
Publication history
Received August 31, 2025
Revised November 20, 2025
Accepted December 10, 2025
Available online April 25, 2026
articles This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Multi-objective Process Parameter Optimization of Integrated SCV-IFV LNG Regasifi cation System Using Genetic Algorithm

School of Mechatronic Engineering , Southwest Petroleum University 1Oil and Gas Equipment Technology, Sharing and Service Platform of Sichuan Province 2State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation , Southwest Petroleum University
lincw_wang@qq.com
Korean Journal of Chemical Engineering, April 2026, 43(5), 1461-1479(19)
https://doi.org/10.1007/s11814-025-00622-x

Abstract

LNG regasifi cation technology in natural gas applications mostly involves vaporizers heating liquefi ed natural gas and 

converting it into gaseous natural gas. Accurate evaluation of heat transfer characteristics is of great value for the optimal 

design of advanced regasifi cation devices such as submerged combustion vaporizer (SCV) and intermediate fl uid vaporizer 

(IFV). It is observed that the submerged combustion vaporizer (SCV) system has the problems of high energy demand 

and high operating cost. In contrast, the intermediate fl uid vaporizer (IFV) system has lower energy consumption and cost, 

but is greatly aff ected by environmental factors. Considering the advantages and disadvantages of these two methods, this 

paper proposes a hybrid operation method combining IFV and SCV to reduce the energy consumption and operation cost 

of LNG regasifi cation. In addition, the process simulation model is established by HYSYS software, and combined with 

genetic algorithm, some operating parameters are optimized by using unit energy consumption, unit cost and total natural 

gas output as objective functions. The results show that the combination of IFV and SCV can signifi cantly reduce energy 

consumption and cost compared with the use of SCV alone. This study provides a new idea for understanding the LNG 

regasifi cation system and provides a reference for the effi cient operation of SCV and IFV. 

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