Publicación:
Adaptive Control of the Oxidation Ditch Reactors in a Wastewater Treatment Plant

Fecha
2012-10
Autores
Kandare, Gregor
Viúdez Moreiras, Daniel
Editor/a
Director/a
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Coordinador/a
Prologuista
Revisor/a
Ilustrador/a
Derechos de acceso
info:eu-repo/semantics/openAccess
Título de la revista
ISSN de la revista
Título del volumen
Editor
Wiley
Proyectos de investigación
Unidades organizativas
Número de la revista
Resumen
This paper describes the application of adaptive predictive expert (ADEX) control methodology to the oxidation ditch reactor in the wastewater treatment plant of Ceutí (Murcia, Spain) and evaluates the performance of the ADEX control system against that of the previous control system operating the plant. After a basic description of ADEX control methodology, the ditch reactor is described, as well as the control objectives and the control strategy, which focused on energy consumption reduction. The results of the application of the ADEX control system show significant improvement compared with the previous control system in terms of higher stability and precision of controlled variables, reduction of energy consumption of the plant, and better quality of the effluent water.
Descripción
The registered version of this article, first published in “International Journal of Adaptive Control and Signal Processing, Vol.26, No. 10, pp. 976-989", is available online at the publisher's website: Wiley, https://doi.org/10.1002/acs.2273
La versión registrada de este artículo, publicado por primera vez en “International Journal of Adaptive Control and Signal Processing, Vol.26, No. 10, pp. 976-989", está disponible en línea en el sitio web del editor: Wiley, https://doi.org/10.1002/acs.2273
Categorías UNESCO
Palabras clave
Adaptive Control, Predictive Control, Expert Systems, Wastewater Treatment, Energy Optimization
Citación
Kandare, G., Viúdez-Moreiras, D., and Hernández-del-Olmo, F. (2012), Adaptive Control of the Oxidation Ditch Reactors in a Wastewater Treatment Plant. International Journal of Adaptive Control and Signal Processing, Vol.26, No. 10, pp. 976-989, ISSN: 1099-1115. https://doi.org/10.1002/acs.2273
Centro
E.T.S. de Ingenieros Industriales
Departamento
Ingeniería Eléctrica, Electrónica, Control, Telemática y Química Aplicada a la Ingeniería
Grupo de investigación
Grupo de innovación
Programa de doctorado
Cátedra