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A force-based mechanistic model for describing activated sludge settling process.
Xu, Guihua; Yin, Fengjun; Xu, Yuanjian; Yu, Han-Qing.
Afiliación
  • Xu G; Key Laboratory of Reservoir Aquatic Environment, Chongqing Institute of Green and Intelligent Technology, CAS, 400714, China; CAS Key Laboratory of Urban Pollutant Conversion, Department of Chemistry, University of Science and Technology of China, Hefei, 230026, China.
  • Yin F; Key Laboratory of Reservoir Aquatic Environment, Chongqing Institute of Green and Intelligent Technology, CAS, 400714, China. Electronic address: yinfengjun@cigit.ac.cn.
  • Xu Y; Key Laboratory of Reservoir Aquatic Environment, Chongqing Institute of Green and Intelligent Technology, CAS, 400714, China.
  • Yu HQ; CAS Key Laboratory of Urban Pollutant Conversion, Department of Chemistry, University of Science and Technology of China, Hefei, 230026, China. Electronic address: hqyu@ustc.edu.cn.
Water Res ; 127: 118-126, 2017 12 15.
Article en En | MEDLINE | ID: mdl-29035765
Sludge settling as the last step in the biological wastewater treatment process substantially affects the system performance, and thus the design and control optimization of the sludge settling process has been frequently investigated with mathematical modeling tools. So far, these models are developed on the basis of the solid flux theory with numerous parameters and complicated boundary conditions, and their prediction results are often unsatisfactory. In this work, a new force-based mechanical model with five parameters was developed, in which five forces were adopted and Newton's law, rather than the flux theory, was used to describe the sludge settling process. In such a model, the phase interactions were taken into account. New functions of hydrodynamic drag, solids pressure and shear stress were developed. Model validation results demonstrate that both batch and continuous sludge settling processes could be accurately described by this model. The predictions of this model were more accurate than those of flux theory-based models, suggesting its advantages in understanding sludge settling behaviors. In addition, this mechanistic model needed to input 5 parameters and set 1 boundary condition only, and could be directly executed by commercial computational fluid dynamics software. Thus, this force-based model provides a more convenient and useful tool to improve the activated sludge settling design and operation optimization.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aguas del Alcantarillado / Eliminación de Residuos Líquidos / Modelos Teóricos Tipo de estudio: Prognostic_studies Idioma: En Revista: Water Res Año: 2017 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aguas del Alcantarillado / Eliminación de Residuos Líquidos / Modelos Teóricos Tipo de estudio: Prognostic_studies Idioma: En Revista: Water Res Año: 2017 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido