Modeling, dynamics and control of process networks with high energy throughput

Michael Baldea; Prodromos Daoutidis

doi:10.1016/j.compchemeng.2008.02.012

Modeling, dynamics and control of process networks with high energy throughput

Michael Baldea, Prodromos Daoutidis

Chemical Engineering and Materials Science

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

20 Scopus citations

Abstract

This paper studies the energy dynamics of process networks and/or staged processes in the presence of large energy input and output flows. A generic model structure is developed for such networks and singular perturbation arguments are used to document that the variables in the energy balance evolve over a short time horizon while the variables in the material balance may exhibit both fast and slow transients. Nonlinear reduced order models for the fast and slow dynamics that can be used for model based controller design are also derived. A high-purity distillation column and a reactor with an external heat exchanger are used as simulation case studies to illustrate the theoretical results.

Original language	English (US)
Pages (from-to)	1964-1983
Number of pages	20
Journal	Computers and Chemical Engineering
Volume	32
Issue number	9
DOIs	https://doi.org/10.1016/j.compchemeng.2008.02.012
State	Published - Sep 26 2008

Bibliographical note

Funding Information:
Financial support for this work by the National Science Foundation, grant CTS-0234440, is gratefully acknowledged. M.B. was partially supported by a University of Minnesota Doctoral Dissertation Fellowship.

Keywords

High-purity distillation
Model reduction
Plant-wide control
Reactor-heat exchanger networks
Singular perturbations

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abstract = "This paper studies the energy dynamics of process networks and/or staged processes in the presence of large energy input and output flows. A generic model structure is developed for such networks and singular perturbation arguments are used to document that the variables in the energy balance evolve over a short time horizon while the variables in the material balance may exhibit both fast and slow transients. Nonlinear reduced order models for the fast and slow dynamics that can be used for model based controller design are also derived. A high-purity distillation column and a reactor with an external heat exchanger are used as simulation case studies to illustrate the theoretical results.",

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AU - Daoutidis, Prodromos

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N2 - This paper studies the energy dynamics of process networks and/or staged processes in the presence of large energy input and output flows. A generic model structure is developed for such networks and singular perturbation arguments are used to document that the variables in the energy balance evolve over a short time horizon while the variables in the material balance may exhibit both fast and slow transients. Nonlinear reduced order models for the fast and slow dynamics that can be used for model based controller design are also derived. A high-purity distillation column and a reactor with an external heat exchanger are used as simulation case studies to illustrate the theoretical results.

AB - This paper studies the energy dynamics of process networks and/or staged processes in the presence of large energy input and output flows. A generic model structure is developed for such networks and singular perturbation arguments are used to document that the variables in the energy balance evolve over a short time horizon while the variables in the material balance may exhibit both fast and slow transients. Nonlinear reduced order models for the fast and slow dynamics that can be used for model based controller design are also derived. A high-purity distillation column and a reactor with an external heat exchanger are used as simulation case studies to illustrate the theoretical results.

KW - High-purity distillation

KW - Model reduction

KW - Plant-wide control

KW - Reactor-heat exchanger networks

KW - Singular perturbations

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JO - Computers and Chemical Engineering

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Modeling, dynamics and control of process networks with high energy throughput

Abstract

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Keywords

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