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Processes 2014, 2(1), 180-199; doi:10.3390/pr2010180
Article

Analysis of Multi-Loop Control Structures of Dividing-Wall Distillation Columns Using a Fundamental Model

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Received: 11 November 2013; in revised form: 23 January 2014 / Accepted: 11 February 2014 / Published: 24 February 2014
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Abstract: Dividing-wall columns (DWCs) have significant potential as energy-efficient processes for the separation of multicomponent mixtures. However, in addition to an efficient steady state design, dynamics and control also play a major part for the success of a technology. This is especially so for complex distillation systems. This paper investigates the dynamics of a dividing wall column used for the separation of ternary mixtures. A detailed dynamic first principles-based model of the column I s developed in gPROMS. The model is used to generate data used for control loop pairing via the Relative Gain Array (RGA), and controller parameters are found by using Internal Model Control (IMC) tuning. The best control structures for DWC systems, involving four different ternary mixtures, and two different feed compositions for each mixture, are investigated.
Keywords: dividing-wall column; distillation; petlyuk; IMC dividing-wall column; distillation; petlyuk; IMC
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Tututi-Avila, S.; Jiménez-Gutiérrez, A.; Hahn, J. Analysis of Multi-Loop Control Structures of Dividing-Wall Distillation Columns Using a Fundamental Model. Processes 2014, 2, 180-199.

AMA Style

Tututi-Avila S, Jiménez-Gutiérrez A, Hahn J. Analysis of Multi-Loop Control Structures of Dividing-Wall Distillation Columns Using a Fundamental Model. Processes. 2014; 2(1):180-199.

Chicago/Turabian Style

Tututi-Avila, Salvador; Jiménez-Gutiérrez, Arturo; Hahn, Juergen. 2014. "Analysis of Multi-Loop Control Structures of Dividing-Wall Distillation Columns Using a Fundamental Model." Processes 2, no. 1: 180-199.


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