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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Vydáno v:	Energy (Oxford) Ročník 172; s. 286 - 303
Hlavní autoři:	Mofid, Hossein, Jazayeri-Rad, Hooshang, Shahbazian, Mehdi, Fetanat, Abdolvahhab
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Elsevier Ltd 01.04.2019 Elsevier BV
Témata:	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
On-line přístup:	Získat plný text
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