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Optimization of a simple LNG process using sequential quadratic programming

Abstract

The efficiency of using sequential quadratic programming (SQP) for the optimization of a PRICO process for the production of liquefied natural gas (LNG) is demonstrated. Most of the returned objective values have been better, and the execution times much lower, than in most previously published work on similar optimization cases. The optimization runs discussed in this paper require around 5 min of execution time.

Category

Academic article

Client

  • Research Council of Norway (RCN) / 193062

Language

English

Affiliation

  • SINTEF Energy Research / Gassteknologi

Date

13.09.2013

Year

2013

Published in

Computers and Chemical Engineering

ISSN

0098-1354

Publisher

Pergamon Press

Volume

56

Page(s)

27 - 36

View this publication at Cristin