Experimental Study of Wave Propagation Dynamics of Multicomponent Distillation Columns

Ting, Jack; Helfferich, Friedrich G.; Hwang, Yng-Long; Graham, Glenn K.; Keller, George E.

doi:10.1021/ie990038o

Cited by 8 publications

(9 citation statements)

References 18 publications

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“…Nevertheless, the composition domain is not suited for the division procedure in terms of hyperquadrilaterals because of its geometry (that is, not defined by a Cartesian product but by the manifold Σ N c x i = 1 on ℝ N c ). An algebraic transformation, based on the h - transform or hyperplane transformation , was therefore utilized to obtain an orthogonal space analogous to the composition domain and suited for the division algorithm. The h -transform is usually employed in the study of nonlinear wave propagation phenomena in separation processes.…”

Section: Partitioning the Thermodynamic Spacementioning

confidence: 99%

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Local Thermodynamic Models Networks for Dynamic Process Simulation

Fernandes

Trierweiler

2009

Ind. Eng. Chem. Res.

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This paper presents the local thermodynamic models networks (LTMN), a new technique aimed at reducing the time spent in simulating processes that are based on phase equilibrium. The LTMN shown in this work approximate K-values as generated by a conventional property method, with a sensible reduction of the computer burden. The LTMN combine the local thermodynamic models technique and the concepts of multiple modeling to provide a valid approximation on the entire domain of the independent thermodynamic state variables. The paper discusses topics from the local models employed in the LTMN and the division of the space to the interpolation algorithm. Additionally, a new polynomial-time algorithm for the calculation of the bubble point temperature is developed on the basis of the form of the thermodynamic local models. The methods presented are tested in the dynamic simulation of distinct separation processes, for two distinct multicomponent mixtures, with time savings up to 90%.

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Section: Partitioning the Thermodynamic Spacementioning

confidence: 99%

“…). An algebraic transformation, based on the h-transform or hyperplane transformation, 19 was therefore utilized to obtain an orthogonal space analogous to the composition domain and suited for the division algorithm. The h-transform is usually employed in the study of nonlinear wave propagation phenomena in separation processes.…”

Section: The H-transformationmentioning

confidence: 99%

Local Thermodynamic Models Networks for Dynamic Process Simulation

Fernandes

Trierweiler

2009

Ind. Eng. Chem. Res.

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“…Recently, the dynamics of a continuous distillation column has been well explained as wave propagation theoretically as well as experimentally (Marquardt, , Hwang, Hwang et al, Ting et al, and Kienle 18 ). The control of distillation columns based on wave propagation models has been studied by several researchers.…”

Section: Profile Position Controlmentioning

confidence: 99%

Profile Position Control of Batch Distillation Based on a Nonlinear Wave Model

Han

Park

2001

Ind. Eng. Chem. Res.

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Batch distillation poses challenging operation and control problems caused by a great change in process gain and a very nonlinear response in distillate composition during the operation. A nonlinear wave model captures an essential dynamic characteristic of the batch distillation column. A profile position control strategy based on the nonlinear wave model is proposed for the control of batch distillation columns. The profile position and distillate composition are estimated from selected tray temperature measurements by observers, which are based on the combination of the nonlinear wave propagation model and the quasi-dynamic model by Quintero-Marmol and Luyben (Chem. Eng. Sci. 1992, 47, 887). This control strategy has been applied to binary and multicomponent separation of ideal and nonideal mixtures. The proposed control scheme is shown to deal with severe nonlinear and varying process gains of batch operation and to be robust to model−plant mismatches.

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“…The nonlinear wave theory was first developed in the model reduction of separation and heat transfer processes (Ting et al, 1999). In this theory, the distribution of the concentration or temperature is described as a constant wave, and the dynamics of the processes can be seen as traveling waves.…”

Section: Introductionmentioning

confidence: 99%

Decoupling control of high-purity heat integrated distillation column process via active disturbance rejection control and nonlinear wave theory

Cheng

Chen

Sun

et al. 2020

Transactions of the Institute of Measurement and Control

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Although the heat integrated distillation is an energy-efficient and environment-friendly separation technology, it has not been commercialized. One of the reasons is that the nonlinear dynamics and the interactions between various control loops have limited the performance of the traditional control strategy. To achieve a high-purity product concentration, a dynamic decoupling control strategy based on active disturbance rejection control (ADRC) is proposed. The effects of interactions, uncertainties and external disturbances can be estimated and rejected by using extended state observer. Considering the constraints on manipulated variables, an optimized ADRC is designed for the first-order system. Moreover, a concentration observer based on a nonlinear wave model is formulated to reduce the number of sensors. In the simulation research, the related internal model control (IMC), multi-loop ADRC and model predictive control (MPC) are compared with the proposed control scheme. The simulation results demonstrate the advantages of the proposed control scheme on tight control, decoupling performance and disturbance rejection for the high-purity heat integrated distillation column.

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Experimental Study of Wave Propagation Dynamics of Multicomponent Distillation Columns

Cited by 8 publications

References 18 publications

Local Thermodynamic Models Networks for Dynamic Process Simulation

Local Thermodynamic Models Networks for Dynamic Process Simulation

Profile Position Control of Batch Distillation Based on a Nonlinear Wave Model

Decoupling control of high-purity heat integrated distillation column process via active disturbance rejection control and nonlinear wave theory

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