Improving operability of spouted beds using a simple optimizing control structure



Título del documento: Improving operability of spouted beds using a simple optimizing control structure
Revista: Brazilian journal of chemical engineering
Base de datos: PERIÓDICA
Número de sistema: 000308627
ISSN: 0104-6632
Autores: 1

Instituciones: 1Universidade Federal de Sao Carlos, Departamento de Engenharia Quimica, Sao Carlos, Sao Paulo. Brasil
Año:
Periodo: Dic
Volumen: 16
Número: 4
Paginación: 359-368
País: Brasil
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Experimental
Resumen en inglés In operations using spouted beds, it is of major importance, from an energy consumption point of view, to operate the process as close as possible to the minimum spout flow. At this point, the speed of the gas (for example, warm air in drying operations) is greater than the amount of heat and mass transfer involved, although it only transfers the minimum amount of momentum to maintain the spout. Therefore, by staying close to this minimum flow condition, it is possible to perform a stable operation and to obtain energy savings not only in the heating of the gas but also in its displacement by blowers. In order to improve the operation of such processes, a study is carried out by implementing a simple optimizing control structure on a spouted bed experimental set-up. The air flow is regulated by a frequency inverter, at the speed of blower rotation. A PI controller was used and the set-point for the air flow rate is calculated on-line by a simple and well-known minimization method called Golden Section Search. This set-point is constantly updated with values very close to the actual minimum spout flow rate. To accomplish the calculations and data acquisitions, a microcomputer with an interface and an analog signal conditioner is used
Disciplinas: Química,
Ingeniería
Palabras clave: Ingeniería de control,
Ingeniería química,
Control óptimo,
Consumo de energía
Keyword: Chemistry,
Engineering,
Chemical engineering,
Control engineering,
Optimal control,
Energy consumption
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