Analysis of control properties of intensified distillation sequences: Reactive and extractive cases

Murrieta-Dueñas, Rodolfo; Gutiérrez-Guerra, Roberto; Segovia‐Hernández, Juan Gabriel; Hernández, Salvador

doi:10.1016/j.cherd.2011.02.021

Cited by 29 publications

(12 citation statements)

References 31 publications

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“…Therefore, the results obtained in this work are consistent with those reported in the literature about the fact that the modification of the values of the interconnection flow rates modifies the control properties and energy consumption. This has also been reported for complex reactive and extractive distillation sequences .…”

Section: Resultssupporting

confidence: 76%

“… and Bequette applied the SVD technique on distillation models. Besides, this technique was also employed for studying complex separation schemes based on distillation . Through several studies on separation schemes, SVD demonstrated that under certain conditions, multivariable model‐based techniques result in controllers that can be decomposed into the SVD structure .…”

Section: Methodsmentioning

confidence: 99%

“…Transfer function matrices are generated by implementing step changes in the manipulated variables of the design of the distillation sequence and registering the dynamic responses of the five products. The product streams' purity is one of the most common variables analyzed for initial controls studies on distillation columns [32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47]; then, the only output variable studied for each product stream was the molar fraction. For instance, if the molar fraction of component i in the distillate flow was defined as output variable, the selected control variable directly related to the distillate purity is the reflux ratio.…”

Section: Appendix a Transfer Function Matricesmentioning

confidence: 99%

See 2 more Smart Citations

Dynamic Performance of a Complex Distillation System to Separate a Five‐Component Hydrocarbon Mixture

2018

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Distillation is one of the most used separation processes in chemical industry, although it is a highly energy‐intensive operation. For multicomponent distillation, complex structures have been proposed in previous works, which may allow energy savings. Nevertheless, it is mandatory to understand the dynamic characteristics of such complex structures. In this work, the dynamic performance of a dividing‐wall‐based structure for the separation of a five‐component mixture is studied. A sensitivity analysis is performed on the structure in terms of the interlinking streams, performing a singular value decomposition analysis to selected cases with different operational conditions. The designs with the lowest energy duties also showed the best open‐loop properties.

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Section: Resultssupporting

confidence: 76%

Section: Methodsmentioning

confidence: 99%

Section: Appendix a Transfer Function Matricesmentioning

confidence: 99%

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Dynamic Performance of a Complex Distillation System to Separate a Five‐Component Hydrocarbon Mixture

2018

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“…The purity of product streams is one of the most common variables analyzed for initial control studies on distillation columns 12–14; then, the only output variable studied for each product stream was the mass fraction. For instance, if the mass fraction of component i in the distillate flow was defined as output variable, the selected control variable directly related to the distillate purity is the reflux ratio.…”

Section: Dynamic Analysismentioning

confidence: 99%

Controllability Analysis of Process Alternatives for Biobutanol Purification

et al. 2015

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Biobutanol has characteristics similar to petroleum fuel and is considered as a superior biofuel compared to ethanol. The development of technologies for biobutanol production by fermentation has resulted in higher final biobutanol concentrations together with less energy-intensive separation and purification techniques. These new technological developments have the potential to provide a production process for biobutanol that is economically viable in comparison to the petrochemical pathway for its production. The control properties of four different possible process designs for biobutanol purification are analyzed. The results, using the singular value decomposition technique, indicated that the scheme where only biobutanol flow is purified, and both ethanol and acetone leaving the purification process mixed with water and biobutanol traces, showed the best control properties.

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“…The overall behavior of the plant has also been utilized instead of a quantitative model to design a controller [26]. In short, a variety of solutions have been investigated and applied to counter the challenges posed by high-purity distillation columns [41][42][43][44][45][46][47].…”

Section: Introductionmentioning

confidence: 99%

System Behavior and Predictive Controller Performance Near the Azeotropic Region

et al. 2018

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High‐purity distillation columns present challenges of nonlinearity, interactions, directionality, and ill‐conditioning for the control systems and thus exhibit poor controller performance. Effects of these issues on the performance of model predictive control in operations in near‐azeotropic regions are investigated. A dynamic model of a pilot‐scale distillation column is simulated and controlled by a linear model predictive controller. As the system moves towards the azeotropic region, the nonlinearity, directionality, and interactions of the system increase. A significant decline is observed in the system control performance since the controller incurs overshoots and offsets for negative and positive setpoint changes. The integral time absolute errors are substantially higher near the azeotropic region. Only a small operating range is able to ensure sufficient controllability near the azeotropic region.

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Analysis of control properties of intensified distillation sequences: Reactive and extractive cases

Cited by 29 publications

References 31 publications

Dynamic Performance of a Complex Distillation System to Separate a Five‐Component Hydrocarbon Mixture

Dynamic Performance of a Complex Distillation System to Separate a Five‐Component Hydrocarbon Mixture

Controllability Analysis of Process Alternatives for Biobutanol Purification

System Behavior and Predictive Controller Performance Near the Azeotropic Region

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