One-step optimization strategy in the simulated moving bed process with asynchronous movement of ports: A VariCol case study

Supelano, Reinaldo Calderón; Barreto, Amaro Gomes; Neto, Ataíde S. Andrade; Secchi, Argimiro Resende

doi:10.1016/j.chroma.2020.461672

Cited by 7 publications

(3 citation statements)

References 34 publications

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“…Hoon et al employed a data-driven Deep Q Network, a model-free reinforcement learning method, to train a control strategy for SMB processes which approaches optimality [18]. More relevant studies can be found in the references [19][20][21][22][23][24][25]. Although using machine learning and deep learning approaches to treat the SMB system as a black box can help bypass the complexities of the underlying mechanism, this approach may become highly susceptible to disturbances or To control the simulated moving bed process of binaphthol enantiomers separations, Nogueira et al proposed a nominally stable MPC controller, also known as infinite horizon model predictive control (IHMPC) [11].…”

Section: Introductionmentioning

confidence: 99%

Discrete Dynamic System Modeling for Simulated Moving Bed Processes

Xie,

Zhang,

Hwang

2024

Mathematics

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Although the simulated moving bed (SMB) process boasts advantages such as high productivity and low consumption, the cost of obtaining optimized parameters through practical experiments to control the separation process can be enormous due to its complex nonlinear characteristics. Consequently, the successful transformation of the SMB separation process into a mathematical dynamic model for computer simulation would greatly reduce the research costs associated with experimental studies. In this study, the Crank–Nicolson method was employed to discretize and dynamize the SMB process, enabling the simulation of processes under both linear and Langmuir isotherms. The results of the simulation experiments demonstrated the feasibility and high efficiency of this approach, thereby establishing a solid foundation for further advancements in online control strategies.

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Section: Introductionmentioning

confidence: 99%

Discrete Dynamic System Modeling for Simulated Moving Bed Processes

Xie,

Zhang,

Hwang

2024

Mathematics

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“…As a result, some new SMB modes have been successively proposed. For example, the Varicol system based on the non-synchronous switching of inlet/outlet ports proposed by Ludemann-Hombourger improves the performance of SMB within a cycle, making the operation more flexible and the requirement for the number of columns significantly reduced [18,19]. The SMB process with internal flow rate changes realizes the redistribution of each component through the change of flow rate.…”

Section: Introductionmentioning

confidence: 99%

Research Progress on the Typical Variants of Simulated Moving Bed: From the Established Processes to the Advanced Technologies

et al. 2023

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Simulated moving bed (SMB) chromatography is a highly efficient adsorption-based separation technology with various industrial applications. At present, its application has been successfully extended to the biochemical and pharmaceutical industrial sectors. SMB possesses the advantages of high product purity and yield, large feed treatment capacity, and simple process control due to the continuous operation mode and the efficient separation mechanism, particularly for difficult separation. Moreover, SMB performs well, particularly for multi-component separation or complicated systems’ purification processes in which each component exhibits similar properties and low resolution. With the development of the economy and technology, SMB technology needs to be improved and optimized to enhance its performance and deal with more complex separation tasks. This paper summarizes the typical variants or modifications of the SMB process through three aspects: zone variant, gradient variant, and feed or operation variant. The corresponding modification principles, operating modes, advantages, limitations, and practical application areas of each variant were comprehensively investigated. Finally, the application prospect and development direction were summarized, which could provide valuable recommendations and guidance for future research in the SMB area.

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“…SMB technology, enabling continuous separation, is valued for increased productivity, and reduced solvent use, making it a clean technology in biopharmaceutical manufacturing. Multi-column SMB is seen as essential in future biochemical pharmaceutical separation and purification processes [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Application of Intelligent Control in Chromatography Separation Process

Xie,

Zhang,

Hwang

2023

Processes

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Chromatographic separation plays a pivotal role in the manufacturing of chemical products and biopharmaceuticals. This technique exploits differences in distribution between stationary and mobile phases to separate mixtures, impacting final product quality. Simulated moving bed (SMB) technology, recognized for its continuous feed, enhances efficiency and increases production capacity while reducing solvent and water consumption. Despite its complexity in controlling variables like flow rates and valve switching times, traditional control theories fall short. This study introduces an intelligent fuzzy controller resembling an approximate neural network (NN) for SMB control. Simulation results demonstrate the controller’s effectiveness in achieving desirable outcomes for the SMB system.

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One-step optimization strategy in the simulated moving bed process with asynchronous movement of ports: A VariCol case study

Cited by 7 publications

References 34 publications

Discrete Dynamic System Modeling for Simulated Moving Bed Processes

Discrete Dynamic System Modeling for Simulated Moving Bed Processes

Research Progress on the Typical Variants of Simulated Moving Bed: From the Established Processes to the Advanced Technologies

Application of Intelligent Control in Chromatography Separation Process

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