Optimization of Pure-Component LNG Cascade Processes with Heat Integration

Oddmar Eiksund, Eivind Brodal and Steven Jackson
Additional contact information
Oddmar Eiksund: Department of Engineering and Safety, UiT The Arctic University of Norway, 9037 Tromsø, Norway
Eivind Brodal: Department of Engineering and Safety IVT, UiT The Arctic University of Norway, 9037 Tromsø, Norway
Steven Jackson: Department of Engineering and Safety IVT, UiT The Arctic University of Norway, 9037 Tromsø, Norway

Energies, 2018, vol. 11, issue 1, 1-13

Abstract: Liquefaction of natural gas is an energy-intensive process in which the energy efficiency depends on the number of compressors stages and the heat integration scheme. The aim of the study is to systematically evaluate process performance of pure component cascade processes, present optimized designs for all relevant numbers of compression stages and compare energy consumption between processes with differing levels of complexity. An original method for the evaluation of process performance is developed that utilizes as little human interaction as possible, making it suitable for optimization. This study shows that a pure-component cascade process using the three refrigerants R290, R1150 and R50 must have at least 11 stages to equal the energy efficiency of the best mixed refrigerant process. An optimized configuration for an 11-stage process scheme operating at 20 ? C ambient temperature is described in detail.

Keywords: LNG; cascade; optimization; genetic algorithm; heat integration; compressor stages (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/1996-1073/11/1/202/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/1/202/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:1:p:202-:d:126985

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().