Taguchi's parametric design approach for the selection of optimization variables in a refrigerated gas plant

Nooryusmiza Yusoff, M. Ramasamy, Suzana Yusup

Research output: Contribution to journalArticle

Abstract

This paper presents a systematic procedure for selecting optimization variables in a refrigerated gas plant (RGP) using the Taguchi method. A dynamic RGP model developed under HYSYS environment is utilized as a test bed. Nine variables with three levels each are employed for optimizing RGP profit. These optimization variables are selected due to their roles as manipulated variables in controlling the process. Results are validated by comparing optimum values of RGP profit obtained through a set of HYSYS experiments and those from analyses of means.

Original languageEnglish
Pages (from-to)665-675
Number of pages11
JournalChemical Engineering Research and Design
Volume89
Issue number6
DOIs
Publication statusPublished - Jun 2011

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Gas plants
Profitability
Taguchi methods
Experiments

Keywords

  • Gas plant
  • Optimization
  • Parametric design
  • Taguchi method

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Chemistry(all)

Cite this

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Taguchi's parametric design approach for the selection of optimization variables in a refrigerated gas plant. / Yusoff, Nooryusmiza; Ramasamy, M.; Yusup, Suzana.

In: Chemical Engineering Research and Design, Vol. 89, No. 6, 06.2011, p. 665-675.

Research output: Contribution to journalArticle

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