ANALYSIS OF OPERATIONAL VARIABLES ON THE PERFORMANCE OF A FIXED-BED FORMALDEHYDE SILVER-CATALYZED REACTOR USING A HYBRID SIMULATOR BASED ON ARTIFICIAL NEURAL NETWORKS

ANALYSIS OF OPERATIONAL VARIABLES ON THE PERFORMANCE OF A FIXED-BED FORMALDEHYDE SILVER-CATALYZED REACTOR USING A HYBRID SIMULATOR BASED ON ARTIFICIAL NEURAL NETWORKS

PAPES FILHO, A. C.; MACIEL FILHO, R.

Pôster:

A hybrid simulator for formaldehyde silver-catalyzed reactor wasdeveloped in this work, using Artificial Neural Network (ANN) trained with industrialand experimental data. The work reports the simulator application based on actualindustrial data for analyzing the influence of operational variables (bed temperature,feed molar ratio methanol-to-oxygen, feed molar ratio water-to-methanol and residencetime) on the reactor performance (conversion and selectivity). The trends obtained werecompared to experimental data, validating the simulator and providing an importanttool for the formaldehyde silver process operation. It is worthwhile mentioning thatmodels and simulators available in literature are not applicable to actual industrialconditions.  

A hybrid simulator for formaldehyde silver-catalyzed reactor wasdeveloped in this work, using Artificial Neural Network (ANN) trained with industrialand experimental data. The work reports the simulator application based on actualindustrial data for analyzing the influence of operational variables (bed temperature,feed molar ratio methanol-to-oxygen, feed molar ratio water-to-methanol and residencetime) on the reactor performance (conversion and selectivity). The trends obtained werecompared to experimental data, validating the simulator and providing an importanttool for the formaldehyde silver process operation. It is worthwhile mentioning thatmodels and simulators available in literature are not applicable to actual industrialconditions.  

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DOI: 10.5151/cobeq2018-PT.0656

Referências bibliográficas

• [1] ANDREASEN A, LYNGGAARD H, STEGELMANN C, Simplified kinetic models of methanol oxidation on silver. Appl. Catal. A-Gen, v.289, p.267-273, 2005. MILLAR GJ, COLLINS M, Industrial Production of Formaldehyde Using Polycrystalline Silver Catalyst. Ind. Eng. Chem. Res., v.56 (33), p.9247–9265, 2017. PAPES FILHO AC,MACIEL FILHO R, Hybrid training approach for artificial neural networks using genetic algorithms for rate of reaction estimation: Application to industrial methanol oxidation to formaldehyde on silver catalyst. Chem. Eng. J.,v.157,p.501-508, 2010. QIAN M, LIAUW MA, EMIG G., Formaldehyde synthesis from methanol over silver catalysts. Appl. Catal. A-Gen, 238, p.211-222, 2003. SUKUNYA A, KITTISUPAKORN P, Formaldehyde synthetic simulation of a fixed bed reactor over silver catalyst. IJTRA, v.2, p.23-27, 2014. WATERHOUSE G, BOWMAKER G, METSON J, Mechanism and active sites for the partial oxidation of methanol to formaldehyde over an electrolytic silver catalyst. Applied Catalysis A, 265, p.85-101, 2004.

Como citar:

PAPES FILHO, A. C.; MACIEL FILHO, R. ; "ANALYSIS OF OPERATIONAL VARIABLES ON THE PERFORMANCE OF A FIXED-BED FORMALDEHYDE SILVER-CATALYZED REACTOR USING A HYBRID SIMULATOR BASED ON ARTIFICIAL NEURAL NETWORKS", p-2478-2481. In: . São Paulo: Blucher, 2018.
ISSN 23591757, DOI 10.5151/cobeq2018-PT.0656