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

Nooryusmiza Yusoff; M. Ramasamy; Suzana Yusup

doi:10.1016/j.cherd.2010.09.021

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

Nooryusmiza Yusoff^*, M. Ramasamy, Suzana Yusup

^*Corresponding author for this work

School of Engineering & Physical Sciences

Research output: Contribution to journal › Article › peer-review

52 Citations (Scopus)

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 language	English
Pages (from-to)	665-675
Number of pages	11
Journal	Chemical Engineering Research and Design
Volume	89
Issue number	6
DOIs	https://doi.org/10.1016/j.cherd.2010.09.021
Publication status	Published - Jun 2011

Keywords

Gas plant
Optimization
Parametric design
Taguchi method

ASJC Scopus subject areas

General Chemical Engineering
General Chemistry

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10.1016/j.cherd.2010.09.021

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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.",

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AU - Yusoff, Nooryusmiza

AU - Ramasamy, M.

AU - Yusup, Suzana

PY - 2011/6

Y1 - 2011/6

N2 - 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.

AB - 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.

KW - Gas plant

KW - Optimization

KW - Parametric design

KW - Taguchi method

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ER -

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

Abstract

Keywords

ASJC Scopus subject areas

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