Study of thermally coupled distillation systems for energy-efficient distillation

Saxena, Neha; Mali, Nilesh A.; Satpute, Satchidanand R.

doi:10.1007/s12046-016-0580-x

Cited by 14 publications

(5 citation statements)

References 8 publications

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Section: Application Development Of Thermally Coupled Distillationmentioning

confidence: 99%

“…The most well-known TCDS sequence, the Petlyuk configuration, has some operational challenges due to bidirectional vapour flow, which makes its implementation difficult in two-column mode. To overcome these limitations, a number of unidirectional vapour flow configurations have been proposed in the literature [34] . Mansour Emtir, Endre Rev & Zsolt Fony [35] studied the energy-saving properties of all column sequences in three-component rectification separation through rigorous simulation.…”

Section: Application Development Of Thermally Coupled Distillationmentioning

confidence: 99%

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Study on the Simulation Control of Neural Network Algorithm in Thermally Coupled Distillation

Zheng

2021

AJRCoS

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Thermally coupled distillation is a new energy-saving method, but the traditional thermally coupled distillation simulation calculation process is complicated, and the optimization method based on the traditional simulation process is difficult to obtain a good feasible solution. The neural network algorithm has the advantages of fast learning and can approach nonlinear functions arbitrarily. For the problems in complex process control systems, neural network control does not require cumbersome control structures or precise mathematical models. When training the network, only the input and output samples it needs are given, so that the dynamics of the system can be controlled. In this way, the dynamic performance of the system can be approximated. This method can effectively solve the mathematical model of the thermally coupled distillation process, and quickly obtain the solution of the optimized variables and the objective function. This article summarizes the research progress of artificial neural network and the optimization control of thermally coupled distillation and the application of neural network in thermally coupled distillation.

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Section: Application Development Of Thermally Coupled Distillationmentioning

confidence: 99%

Section: Application Development Of Thermally Coupled Distillationmentioning

confidence: 99%

Study on the Simulation Control of Neural Network Algorithm in Thermally Coupled Distillation

Zheng

2021

AJRCoS

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“…The thermal coupling distillation can often save nearly 40% on energy compared with conventional distillation 22,23 . However, the design of thermal coupled distillation for multicomponent mixtures separation is often more complex.…”

Section: Introductionmentioning

confidence: 99%

“…The thermal coupling distillation can often save nearly 40% on energy compared with conventional distillation. 22,23 However, the design of thermal coupled distillation for multicomponent mixtures separation is often more complex. Based on mathematical programming techniques, Calzon-McConville et al 24 proposed an energy-saving design program for thermal coupling distillation (fully coupled and partially coupled) for the separation of five-component mixtures to solve the complexity of separating multicomponent mixtures.…”

Section: Introductionmentioning

confidence: 99%

A simple screening method for distillation sequence of thermally coupled dividing wall column: distillation sequence morphological analysis method (DSMAM)

Cheng

et al. 2023

J of Chemical Tech & Biotech

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BACKGROUND: Distillation is a separation process with a high energy consumption. Therefore, energy-saving optimizations of the distillation process have become particularly significant. However, developing methods to quickly choose the best energysaving distillation sequence for the separation of multiple components has become a key problem. RESULTS: In this paper, the Distillation Sequence Morphometry Analysis Method (DSMAM) was established to quickly screen energy-saving and efficient distillation sequences and was integrated with a Dividing-wall column (DWC) device, which has more industrial significance. Meanwhile, an evaluation and screening index η of separated multicomponent energy-saving distillation sequences was proposed. Finally, based on the DSMAM, and combined with Microsoft Visual Basic 6.0 (VB) and Aspen Plus V11 (Aspen) software, a set of distillation sequence screening and evaluation programs of four-component separation systems was generated. The distillation column sequence with high thermodynamic efficiency and the energy-saving coupling structure of distillation were obtained quickly and accurately. CONCLUSION: This program was applied to the separation of the n-butane-benzene-n-heptane-n-nonane system. It was able to quickly obtain the first three energy-saving distillation sequences without thermal coupling and the first three energy-saving distillation sequences in the search space. The direct-thermal coupling distillation sequence of the energy-saving fluid was integrated and coupled, providing a preliminary design reference for industrial design and application.

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“…However, even though the use of advanced units is a promising technology, few studies are related to multicomponent separation. Most of the works aim at the optimization of sequential conventional columns to minimize energy requirements, i.e., the thermally coupled distillation system (Shenvi et al, 2013;Saxena et al, 2017); the formulation of a methodology to obtain optimization strategies in the elaboration of several distillation column arrays (Rong andErrico, 2012. Wang et al, 2016) or the comparison of this approach with DWC (Kaibel) columns (Abid et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Energy and Exergetic Evaluation of the Multicomponent Separation of Petrochemical Naphtha in Falling Film Distillation Columns

Querino

Machado

Marangoni

2019

Braz. J. Chem. Eng.

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Multicomponent separation of synthetic petrochemical naphtha (hexane, cyclohexane, toluene and xylene) was carried out in a falling film distillation sequence with heat supply using a vapor chamber (thermosyphon). Tests were carried out by varying feed flow rate and temperatures of the feed and the vapor chamber in two ways of heat supply: isothermal and with a vapor chamber temperature profile. Regarding the distillation behavior of the multicomponent separation with the proposed falling film column, it was verified that the lower values of the studied variables and the profile temperature mode promoted the best results for hexane recuperation. With an indirect sequence of three columns, hexane mass fraction in the top column increases to the value of 0.82. Higher thermodynamic efficiency was found for two columns of the sequence in comparison with the conventional ones. This behavior is related to smaller energy consumption, showing a total energy reduction of 12% compared to the same separation performed in a conventional unit. Energy and exergetic efficiency values were higher than 95% and 85% in the three columns used. These analyses demonstrated that the falling film separation proposal is an energy efficient arrangement and could be considered for multicomponent separation.

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Study of thermally coupled distillation systems for energy-efficient distillation

Cited by 14 publications

References 8 publications

Study on the Simulation Control of Neural Network Algorithm in Thermally Coupled Distillation

Study on the Simulation Control of Neural Network Algorithm in Thermally Coupled Distillation

A simple screening method for distillation sequence of thermally coupled dividing wall column: distillation sequence morphological analysis method (DSMAM)

Energy and Exergetic Evaluation of the Multicomponent Separation of Petrochemical Naphtha in Falling Film Distillation Columns

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