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Automatic characterisation of primary, secondary and mixed sludge inflow in terms of the mathematical generalised sludge digester model.
de Gracia, M; Huete, E; Beltrán, S; Grau, P; Ayesa, E.
Afiliación
  • de Gracia M; CEIT, Manuel de Lardizábal 15, 20018 San Sebastián, Spain. mdegracia@atmsa.com
Water Sci Technol ; 64(3): 557-67, 2011.
Article en En | MEDLINE | ID: mdl-22097032
ABSTRACT
This paper presents the characterisation procedure of different types of sludge generated in a wastewater treatment plant to be reproduced in a mathematical model of the sludge digestion process. The automatic calibration method used is based on an optimisation problem and uses a set of mathematical equations related to the a priori knowledge of the sludge composition, the experimental measurements applied to the real sludge, and the definition of the model components. In this work, the potential of the characterisation methodology is shown by means of a real example, taking into account that sludge is a very complex matter to characterise and that the models for digestion also have a considerable number of model components. The results obtained suit both the previously reported characteristics of the primary, secondary and mixed sludge, and the experimental measurements specially done for this work. These three types of sludge have been successfully characterised to be used in complex mathematical models.
Asunto(s)
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Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Aguas del Alcantarillado / Automatización / Modelos Teóricos Tipo de estudio: Prognostic_studies Idioma: En Revista: Water Sci Technol Asunto de la revista: SAUDE AMBIENTAL / TOXICOLOGIA Año: 2011 Tipo del documento: Article País de afiliación: España
Buscar en Google
Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Aguas del Alcantarillado / Automatización / Modelos Teóricos Tipo de estudio: Prognostic_studies Idioma: En Revista: Water Sci Technol Asunto de la revista: SAUDE AMBIENTAL / TOXICOLOGIA Año: 2011 Tipo del documento: Article País de afiliación: España