Optimized centre-feed clarifier design for the Tai Po Sewage Treatment Works, Hong Kong
Stability of sludge blanket is a critical factor controlling the performance of clarifiers. A three-dimensional computational fluid dynamics (CFD) model was applied to optimize the clarifier design at the Tai Po Sewage Treatment Works, Hong Kong. Validated by field data, the CFD model evaluated the...
Saved in:
Published in: | Water and environment journal : WEJ Vol. 24; no. 2; pp. 140 - 146 |
---|---|
Main Authors: | , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Oxford, UK
Oxford, UK : Blackwell Publishing Ltd
01-06-2010
Blackwell Publishing Ltd Blackwell |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | Stability of sludge blanket is a critical factor controlling the performance of clarifiers. A three-dimensional computational fluid dynamics (CFD) model was applied to optimize the clarifier design at the Tai Po Sewage Treatment Works, Hong Kong. Validated by field data, the CFD model evaluated the key clarifier design elements including side-water depth, centre-feed inlet, flocculation well and returned activated sludge (RAS) flow. Based on field observations and modelling results, the new design aims at eliminating the strong turbulence typical of centre-feed inlets in the clarifier, thus creating a better flocculation environment, and reducing disturbance to the sludge blanket. The modelling results also demonstrated a marked improvement in clarifier performance after the increase in clarifier depth and hence sludge storage capacity. The increased storage capacity reduces the risk of high sludge blanket levels upsetting the clarified effluent quality under high flow or solids loading conditions. |
---|---|
Bibliography: | http://dx.doi.org/10.1111/j.1747-6593.2009.00167.x ark:/67375/WNG-PRK613GD-C istex:583067C720612724C92649DBCF8E603694D6DA38 ArticleID:WEJ167 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1747-6585 1747-6593 |
DOI: | 10.1111/j.1747-6593.2009.00167.x |