Formulation of Reduced-Order Models for the Dynamic and Stability Analyses of Autothermal Radial Flow Reactors
Autothermal radial flow reactors typically consist of a reactor setup of multiple catalyst-beds with internal heat exchange. These reactors are widely used because or their high efficiency due to the internal heat exchange and radial flow arrangements are preferred due to their low pressure drops. A...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2003 |
| País: | Argentina |
| Institución: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | inglés |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/100956 |
| Acceso en línea: | http://hdl.handle.net/11336/100956 |
| Access Level: | acceso abierto |
| Palabra clave: | REDUCED AUTOTHERMAL STABILITY DYNAMIC https://purl.org/becyt/ford/2.4 https://purl.org/becyt/ford/2 |
| Sumario: | Autothermal radial flow reactors typically consist of a reactor setup of multiple catalyst-beds with internal heat exchange. These reactors are widely used because or their high efficiency due to the internal heat exchange and radial flow arrangements are preferred due to their low pressure drops. Although an efficient multi-functional reactor arrangement, this setup has shown to provide for an additional destabilizing mechanism via the heat-feedback. Thus, additional stability considerations are neccesary when the operating autothermal or non-adiabatic reactors at high conversions. This work proposes the formulation of a simplified model to investigate the effect of the heat transfer feedback on the stability of autothermal radial flow reactors. The present work focuses on a lumping approach to reduce the order of a complex distributed parameter system. The model is complex enough so as to preserve the intricacies of this reactor arrangement, but still yield a tractable dynamic formulation. The industrial ammonia synthesis process has been chosen as a case study to illustrate the proposed methodology. The lumped model prediccions are qualitatively compared against numerical simulations of a detailed mathematical model. Extensions of the resulting model to examine control strategies are also addressed. |
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