Selection of RGP optimization variables using taguchi method

N. Yusoff, M. Ramasamy

Research output: Contribution to journalArticle

Abstract

This study presents a procedure for selecting optimization variables in a Refrigerated Gas Plant (RGP) using Taguchi method with L27 (39) orthogonal arrays. A dynamic RGP model developed under HYSYS environment is utilized as a test bed. This model comprises 762 variables and 21 regulatory control loops. However, only 9 variables or factors with three level each are studied to determine their relative significance in maximizing RGP profit. These factors are prudently selected due to their relevance in maintaining product qualities. Feed Gas (FG) flow rate is found dominant with 97.3% contribution in the first case study. Two additional case studies are performed to magnify the contributions of other factors. FG costs and temperature of FG after coldbox E-101, refrigeration cooler duty and demethanizer reboiler duty are found to be significant factors.

Original languageEnglish
Pages (from-to)3313-3318
Number of pages6
JournalJournal of Applied Sciences
Volume10
Issue number24
DOIs
Publication statusPublished - 2010

Fingerprint

Gas plants
Taguchi methods
Reboilers
Refrigeration
Gases
Flow of gases
Profitability
Flow rate
Costs
Temperature

Keywords

  • Gas plant
  • Optimization variables selection
  • Taguchi method

ASJC Scopus subject areas

  • General

Cite this

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Selection of RGP optimization variables using taguchi method. / Yusoff, N.; Ramasamy, M.

In: Journal of Applied Sciences, Vol. 10, No. 24, 2010, p. 3313-3318.

Research output: Contribution to journalArticle

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