Overall
- Language
- English
- Conflict of Interest
- In relation to this article, we declare that there is no conflict of interest.
- Publication history
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Received August 31, 2025
Revised November 20, 2025
Accepted December 10, 2025
Available online April 25, 2026
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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.
Most Cited
Multi-objective Process Parameter Optimization of Integrated SCV-IFV LNG Regasifi cation System Using Genetic Algorithm
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.

