Optimal Control of the Sabatier Process in Microchannel Reactors

Fuente: arXiv
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Main Authors: Blauth, Sebastian, Leithäuser, Christian, Pinnau, René
Format: Preprint
Published: 2020
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author Blauth, Sebastian
Leithäuser, Christian
Pinnau, René
author_facet Blauth, Sebastian
Leithäuser, Christian
Pinnau, René
contents We consider the optimization of a chemical microchannel reactor by means of PDE constrained optimization techniques, using the example of the Sabatier reaction. To model the chemically reacting flow in the microchannels, we introduce a three- and a one-dimensional model. As these are given by strongly coupled and highly nonlinear systems of partial differential equations (PDEs), we present our software package cashocs which implements the adjoint approach and facilitates the numerical solution of the subsequent optimization problems. We solve a parameter identification problem numerically to determine necessary kinetic parameters for the models from experimental data given in the literature. The obtained results show excellent agreement to the measurements. Finally, we present two optimization problems for optimizing the reactor's product yield. First, we use a tracking-type cost functional to maximize the reactant conversion, keep the flow rate of the reactor fixed, and use its wall temperature as optimization variable. Second, we consider the wall temperature and the inlet gas velocity as optimization variables, use an objective functional for maximizing the flow rate in the reactor, and ensure the quality of the product by means of a state constraint. The results obtained from solving these problems numerically show great potential for improving the design of the microreactor.
format Preprint
id arxiv_https___arxiv_org_abs_2007_12457
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle Optimal Control of the Sabatier Process in Microchannel Reactors
Blauth, Sebastian
Leithäuser, Christian
Pinnau, René
Optimization and Control
80A32, 49M05, 35Q35, 65K10
We consider the optimization of a chemical microchannel reactor by means of PDE constrained optimization techniques, using the example of the Sabatier reaction. To model the chemically reacting flow in the microchannels, we introduce a three- and a one-dimensional model. As these are given by strongly coupled and highly nonlinear systems of partial differential equations (PDEs), we present our software package cashocs which implements the adjoint approach and facilitates the numerical solution of the subsequent optimization problems. We solve a parameter identification problem numerically to determine necessary kinetic parameters for the models from experimental data given in the literature. The obtained results show excellent agreement to the measurements. Finally, we present two optimization problems for optimizing the reactor's product yield. First, we use a tracking-type cost functional to maximize the reactant conversion, keep the flow rate of the reactor fixed, and use its wall temperature as optimization variable. Second, we consider the wall temperature and the inlet gas velocity as optimization variables, use an objective functional for maximizing the flow rate in the reactor, and ensure the quality of the product by means of a state constraint. The results obtained from solving these problems numerically show great potential for improving the design of the microreactor.
title Optimal Control of the Sabatier Process in Microchannel Reactors
topic Optimization and Control
80A32, 49M05, 35Q35, 65K10
url https://arxiv.org/abs/2007.12457