Stochastic Optimization of a Natural Gas Liquefaction Process Considering Seawater Temperature Variation Based on Particle Swarm Optimization-Reference-Cited by-同舟云学术

Stochastic Optimization of a Natural Gas Liquefaction Process Considering Seawater Temperature Variation Based on Particle Swarm Optimization

Published:2018-02-05 Issue:6 Volume:57 Page:2200-2207
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Yang Hye Jin¹,Hwang Kyu Suk¹,Lee Chang Jun²^ORCID

Affiliation:

1. Department of Polymer Science and Chemical Engineering, Pusan National University, 2, Busandaehak-ro 63beon-gil, Geumjeong-gu, Busan 46241, Republic of Korea

2. Department of Safety Engineering, Pukyong National University, 45, Yongso-ro, Nam-gu, Busan 48513, Republic of Korea

Funder

National Research Foundation of Korea

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.7b04546

Reference33 articles.

1. Design and Optimization of Natural Gas Liquefaction and Recovery Processes for Offshore Floating Liquefied Natural Gas Plants

2. Simulation-Based Optimization Methodology for Offshore Natural Gas Liquefaction Process Design

3. Bukowski, J.; Liu, Y. N.; Boccella, M. S.; Kowalski, M. L.Innovations in natural gas liquefaction technology for future LNG plants and floating LNG facilities. International Gas Union Research Conference;Air Products and Chemicals, Inc., 2011.

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