Enhancing the performance of a parallel nitrogen expansion liquefaction process (NELP) using the multi-objective particle swarm optimization (MOPSO) algorithm

Because of the complex relationship of the characteristics of the liquefied natural gas (LNG) processes, the use of multi-objective optimization algorithms seems rational, for the reason that these methods have the ability to tradeoff between different objectives. The unit energy consumption (UEC);...

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Bibliographic Details
Published in:	Energy (Oxford) Vol. 172; pp. 286 - 303
Main Authors:	Mofid, Hossein, Jazayeri-Rad, Hooshang, Shahbazian, Mehdi, Fetanat, Abdolvahhab
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.04.2019 Elsevier BV
Subjects:	Algorithms Clustering cost effectiveness Design optimization Energy consumption Exergy Genetic algorithms Heat exchangers Liquefaction Liquefaction process Liquefied natural gas LNG heat exchangers MOPSO algorithm Multi-objective optimization Multiple objective analysis nitrogen Optimization Pareto optimization Particle swarm optimization Performance enhancement Plant design process design Unit energy consumption Multi-objective optimization LNG heat exchangers Unit energy consumption MOPSO algorithm Liquefaction process
ISSN:	0360-5442, 1873-6785
Online Access:	Get full text
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