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Shape effect on mixing and age distributions in service reservoirs
Author(s) -
Zhang JunMei,
Lee Heow Pueh,
Khoo Boo Cheong,
Peng Kai Qi,
Zhong Liang,
Kang ChangWei,
Ba Te
Publication year - 2014
Publication title -
journal ‐ american water works association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.466
H-Index - 74
eISSN - 1551-8833
pISSN - 0003-150X
DOI - 10.5942/jawwa.2014.106.0094
Subject(s) - turbulence , inlet , mechanics , eddy , computational fluid dynamics , jet (fluid) , service (business) , flow (mathematics) , fluid dynamics , geology , environmental science , mathematics , computer science , physics , economy , geomorphology , economics
Service reservoirs operate better with completed mixed flow to ensure uniform distributed disinfectant. In this article, the shape effect on mixing and age distributions of a service reservoir was investigated computationally by analyzing three service reservoirs that have commonly designed shapes (rectangle, square, and circle). With the use of the computational fluid dynamics (CFD) method coupled with dynamic meshes, realistic dynamic flow in the service reservoir was simulated with affordable computational cost. The water age distributions were predicted in detail by solving the age equation. Among the three investigated service reservoirs, the rectangular service reservoir had the smallest region of aged water in size and lowest volume‐averaged age values. This is reasonable because the outlet is located opposite to the inlet in this study, and the fluid mixes better along the jet trajectory by virtue of jet‐spreading and turbulent eddies. Therefore, a rectangular service reservoir is the best design among the three tanks investigated. The effects of thermal stratification, inlet–outlet layout, turnover, and height‐over‐diameter (H/D) ratio on mixing and age distributions are not fully covered in this work. The current approach, however, can still be employed to incorporate and evaluate each or combined mentioned effect(s) to arrive at the optimal reservoir design.