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He T, Karimi IA, Ju Y. Review on the design and optimization of natural gas liquefaction processes for onshore and offshore applications. Chem Eng Res Des 2018. [DOI: 10.1016/j.cherd.2018.01.002] [Citation(s) in RCA: 101] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Yang HJ, Hwang KS, Lee CJ. Stochastic Optimization of a Natural Gas Liquefaction Process Considering Seawater Temperature Variation Based on Particle Swarm Optimization. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.7b04546] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Hye Jin Yang
- Department
of Polymer Science and Chemical Engineering, Pusan National University, 2, Busandaehak-ro 63beon-gil, Geumjeong-gu, Busan 46241, Republic of Korea
| | - Kyu Suk Hwang
- Department
of Polymer Science and Chemical Engineering, Pusan National University, 2, Busandaehak-ro 63beon-gil, Geumjeong-gu, Busan 46241, Republic of Korea
| | - Chang Jun Lee
- Department
of Safety Engineering, Pukyong National University, 45, Yongso-ro, Nam-gu, Busan 48513, Republic of Korea
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Won W, Lee KS. Delta-operator-based adaptive model predictive control and online optimization of a natural gas liquefaction process. Chem Eng Sci 2017. [DOI: 10.1016/j.ces.2016.12.069] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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