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PMID: 11936650 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Model structure identification for wastewater treatment simulation based on computational fluid dynamics.

Alex J, Kolisch G, Krause K

Abstract

The objective of this presented project is to use the results of an CFD simulation to automatically, systematically and reliably generate an appropriate model structure for simulation of the biological processes using CSTR activated sludge compartments. Models and dynamic simulation have become important tools for research but also increasingly for the design and optimisation of wastewater treatment plants. Besides the biological models several cases are reported about the application of computational fluid dynamics ICFD) to wastewater treatment plants. One aim of the presented method to derive model structures from CFD results is to exclude the influence of empirical structure selection to the result of dynamic simulations studies of WWTPs. The second application of the approach developed is the analysis of badly performing treatment plants where the suspicion arises that bad flow behaviour such as short cut flows is part of the problem. The method suggested requires as the first step the calculation of fluid dynamics of the biological treatment step at different loading situations by use of 3-dimensional CFD simulation. The result of this information is used to generate a suitable model structure for conventional dynamic simulation of the treatment plant by use of a number of CSTR modules with a pattern of exchange flows between the tanks automatically. The method is explained in detail and the application to the WWTP Wuppertal Buchenhofen is presented.

MeSH 主题词
Algorithms Bioreactors Computer Simulation Sewage/chemistry Time Factors Water Purification/methods
化学物质
Sewage
作者与单位
共 3 位作者,点击展开单位 / ORCID
Alex J
ifak e.V., Barleben, Germany. [email protected]
Kolisch G
Krause K
Article Info
Journal
Water science and technology : a journal of the International Association on Water Pollution Research
Abbr.
Water Sci Technol
ISSN
0273-1223
Corresponding email
Published
2002-00-00
页码
325-34
Language
English
Country/Region
England
NLM ID
9879497
Analysis Services
Analysis Services

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