Modeling and nonlinear MPC of a dividing-wall column for separation of Benzene-Toluene-p-Xylene: a simulation case study

Leal, João R.; Romanenko, Andrey; Santos, Lino O.

doi:10.1016/b978-0-444-63965-3.50271-3

Cited by 3 publications

(7 citation statements)

References 13 publications

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“…The DAE model in Section 2.1 can be shown to be index-2, 11,12,16,[20][21][22] and it is reformulated in this section to a well-posed index-1 DAE.…”

Section: Index Reductionmentioning

confidence: 99%

“…Equation (16) indicates that mole fractions of the bottom liquid product are equal to those of the vapor boilup back to the column. The phase equilibrium constant K i,Bo can be calculated using Equation (17).…”

Section: Reboilermentioning

confidence: 99%

“…The DAE model in Section 2.1 can be shown to be index‐2, 11,12,16,20–22 and it is reformulated in this section to a well‐posed index‐1 DAE. Figure 4 presents the incidence matrix of the index‐2 model.…”

Section: The Distillation Modelmentioning

confidence: 99%

“…The application of NMPC for DWCs has barely been studied except for one relevant paper. Leal et al 16 proved the potential of using NMPC for the control of DWC to separate the Benzene, Toluene, and p ‐Xylene mixture.…”

Section: Introductionmentioning

confidence: 99%

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Nonlinear model predictive control for dividing wall columns

et al. 2023

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Dividing wall columns (DWCs) are practical, effective, and promising among distillation process intensification technologies. Nonlinear model predictive control (NMPC) schemes are developed in this study to control the three-product DWCs. As these systems are intensely interactive and highly nonlinear, NMPC may be more suitable than the traditional PI control. The model is established based on Python and Pyomo platforms. As the original mathematical model of the column section is ill-posed, index reduction is used to avoid a high-index differential-algebraic equation (DAE) system. The well-posed index-1 system after index reduction is employed for the steady-state simulation and dynamic control in this study. Case studies with three DWC configurations to separate the mixture of ethanol (A), n-propanol (B), and nbutanol (C) show that the NMPC performs very well with small maximum deviations and short settling times. This demonstrates that the NMPC is a feasible and very effective scheme to control three-product DWCs.

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“…The DAE model in Section 2.1 can be shown to be index-2, 11,12,16,[20][21][22] and it is reformulated in this section to a well-posed index-1 DAE.…”

Section: Index Reductionmentioning

confidence: 99%

Section: Reboilermentioning

confidence: 99%

Section: The Distillation Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Nonlinear model predictive control for dividing wall columns

et al. 2023

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“…In addition to that, challenges are related to the significant interactions between the components by operating multiple operations in a single physical system. Consequently, a reason that makes the adoption of DWC technology in the industry slow is operability challenges, which result in flexibility issues . Hence, controlling such intensified processes is not a straightforward task.…”

Section: Introductionmentioning

confidence: 99%

Optimal Operation of an Industrial Dividing Wall Column through Multiparametric Programming

Pappas,

Bindlish,

Ali

et al. 2023

Ind. Eng. Chem. Res.

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In this contribution, we present a high-fidelity dynamic model of an industrial dividing wall column and the application of explicit model predictive control for its regulation. Our study involves the separation of methyl methacrylate from a quaternary mixture. The process includes a dividing wall column coupled with a decanter, which results in highly concentrated methyl methacrylate and water streams from the middle side draw of the column and the decanter, respectively. An equationoriented mathematical model of the process is developed and presented in detail, where non-ideal thermodynamic calculations are adopted to describe the complex nature of the component interactions. The operability of the process is enhanced by the synthesis and application of an explicit model predictive controller, which is used to track the purity specifications of the product. Our results demonstrate that the proposed modeling and control approach can be utilized for the optimal online operation of the studied system.

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