Simulated moving bed reactor for butyl acrylate synthesis: From pilot to industrial scale

Constantino, Dânia S. M.; Pereira, Carla; Faria, Rui P. V.; Loureiro, José M.; Rodrigues, Alı́rio E.

doi:10.1016/j.cep.2015.08.003

Cited by 21 publications

(47 citation statements)

References 27 publications

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“…As mentioned, previous studies considered a pseudo-homogeneous reaction that simplifies the model. In addition, SMBR modeling bears a high computational burden that can be prevented by substituting it by the TMBR model, which is simpler to be carried out and it is equivalent to SMBR by keeping constant the liquid velocity relative to the solid velocity in the model [13][14][15][16].…”

Section: Methodsmentioning

confidence: 99%

A Complete Heterogeneous Model for the Production of n-Propyl Propionate Using a Simulated Moving Bed Reactor

et al. 2022

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n-Propyl Propionate (ProPro) is a harmless biodegradable product employed in several fields for the production of drugs, inks, coating, food, and perfume. ProPro is synthesized in an equilibrium reaction for which its yield can be enhanced by constant withdraw of the products as the reaction takes place. Simulated Moving Bed Reactor (SMBR) is a candidate for the production of ProPro with high efficiency as it is a multifunction unit able to simultaneously run reaction and separation, hence shifting the equilibrium reaction toward products. This paper proposes a complete phenomenological model for the ProPro synthesis in a Simulated Moving Bed Reactor (SMBR) packed with the heterogeneous catalyst Amberlyst 46 resin. The operating conditions are defined by the Triangle Theory to design an SMBR unit to produce ProPro efficiently and a comprehensive parameter estimation procedure is employed to obtain more representative parameters. The validated phenomenological model was applied to design an SMBR unit to produce high purity (99.28%) ProPro.

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Section: Methodsmentioning

confidence: 99%

A Complete Heterogeneous Model for the Production of n-Propyl Propionate Using a Simulated Moving Bed Reactor

et al. 2022

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“…However, traditional resource-intensive production routes are still the main choice due to the lack of better options. In this sense, the SMBR process is a potentially better solution as a continuous multifunctional reactor with low demand for energy that can be competitive with its conventional process counterpart, especially in equilibrium-limited reactions. ,− …”

Section: Introductionmentioning

confidence: 99%

Abnormal Operation Tracking through Big-Data-Based Gram–Schmidt Orthogonalization: Production of n-Propyl Propionate in a Simulated Moving-Bed Reactor: A Case Study

Santana

Martins

Rodrigues

et al. 2021

Ind. Eng. Chem. Res.

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Big Data Analytics plays a crucial role in Industry 4.0 by offering tools to improve the decision-making process. These tools comprise data management infrastructures and analytical methods. Among the economic sectors, the chemical process industry already holds mature data management structures but poorly explored analytical tools. In this sense, this work proposes an online analytical tool that can deal with Big Data to be used for identifying abnormal operations in chemical processes. It deals with a modified dynamic sensitivity matrix (DSM) and Gram−Schmidt orthogonalization (GSO) to prioritize process variables under abnormal behavior and scaling the impact they have on plant performance. In order to evaluate the effectiveness of the proposed method, the synthesis of n-propyl-propionate in a challenging simulated moving-bed reactor (SMBR) process is the object of this study. Simulations are carried out within a software-in-the-loop mode through the integration between Matlab and gPROMs. The results show that the proposed algorithm correctly prioritized the variables concerning their impact on the process performance during abnormal behavior. The capabilities of the proposed method were tested in two campaigns: considering abnormalities in two and three operating variables, respectively. In both, the method correctly prioritized their correction order based on their impact on the process performance. Finally, a "what-if" scenario shows that choosing the correction order at random leads to abnormal behavior for longer periods of time.

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“…In recent years, special attention has been paid to the applications of SMBRs in the chemical and food industries. The application of SMBRs in the reaction processes of glucose isomerization, synthesis of dimethyl acetal from carbonyl compounds, green fuel production, butyl acrylate synthesis, synthesis of 1,1-dibutoxyethane, and high-fructose syrup production have been studied by Rodrigues et al [5][6][7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

“…The application of SMBRs in the reaction processes of glucose isomerization, synthesis of dimethyl acetal from carbonyl compounds, green fuel production, butyl acrylate synthesis, synthesis of 1,1‐dibutoxyethane, and high‐fructose syrup production have been studied by Rodrigues et al. 5–13.…”

Section: Introductionmentioning

confidence: 99%

Modeling of the Isomerization and Separation Process of para‐Xylene in a Moving Bed Reactor

2021

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Simulated moving bed reactors (SMBRs) are hybrid reactors that perform reaction and separation processes simultaneously in a single unit. Their high separation performance and ability to overcome equilibrium constraints on the reaction make them effective in a wide range of equilibrium reactions. This study investigated an SMBR for xylene isomerization and separation of p-xylene from other xylene isomers (free of ethylbenzene) in the liquid phase. The effects of operating variables including temperature, switching time, and columns arrangement on the performance parameters and optimal conditions were determined. Due to the removal of products from the reaction site, the SMBR drives the chemical equilibrium toward producing more product than a conventional reactor under the same conditions.

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Simulated moving bed reactor for butyl acrylate synthesis: From pilot to industrial scale

Cited by 21 publications

References 27 publications

A Complete Heterogeneous Model for the Production of n-Propyl Propionate Using a Simulated Moving Bed Reactor

A Complete Heterogeneous Model for the Production of n-Propyl Propionate Using a Simulated Moving Bed Reactor

Abnormal Operation Tracking through Big-Data-Based Gram–Schmidt Orthogonalization: Production of n-Propyl Propionate in a Simulated Moving-Bed Reactor: A Case Study

Modeling of the Isomerization and Separation Process of para‐Xylene in a Moving Bed Reactor

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