CFD Modeling Optimizes Water Treatment Plant Performance

2019 ◽  
Vol 111 (7) ◽  
pp. 40-45
Author(s):  
Edward Wicklein ◽  
Vincent Hart ◽  
Elizabeth Carter ◽  
Ralph Haight ◽  
Bobby Oligo ◽  
...  
Keyword(s):  
Water Treatment ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Plant Performance ◽  
Cfd Modeling

THE USE OF ALTERNATE MICROBIOLOGICAL INDICATORS OF WATER TREATMENT PLANT PERFORMANCE

2001 ◽  
Vol 2001 (5) ◽  
pp. 394-402 ◽  
Author(s):  
Astrid Huertas ◽  
Benoit Barbeau ◽  
Christian Desjardins ◽  
Gary A. Toranzos
Keyword(s):  
Water Treatment ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Plant Performance ◽  
Microbiological Indicators

Use Dashboards to Improve Water Treatment Plant Performance

Opflow ◽  
2019 ◽  
Vol 45 (11) ◽  
pp. 24-27
Author(s):  
Nathan J. Boyle ◽  
Paul G. Biscardi ◽  
Dawn M. Guendert ◽  
Carl W. Spangenberg
Keyword(s):  
Water Treatment ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Plant Performance

Quantifying human exposure to contaminants for multiple-barrier water reuse systems

2010 ◽  
Vol 61 (1) ◽  
pp. 77-83 ◽  
Author(s):  
S. J. Khan ◽  
J. A. McDonald
Keyword(s):  
Water Treatment ◽  
Water Reuse ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Disinfection Byproducts ◽  
Plant Performance ◽  
Advanced Treatment ◽  
Safe Drinking Water ◽  
Treatment Processes ◽  
Wide Range

Reliance upon advanced water treatment processes to provide safe drinking water from relatively compromised sources is rapidly increasing in Australia and other parts of the world. Advanced treatment processes such as reverse osmosis have the ability to provide very effective treatment for a wide range of chemicals when operated under optimal conditions. However, techniques are required to comprehensively validate the performance of these treatment processes in the field. This paper provides a discussion and demonstration of some effective statistical techniques for the assessment and description of advanced water treatment plant performance. New data is provided, focusing on disinfection byproducts including trihalomethanes and N-nitrosamines from a recent comprehensive quantitative exposure assessment for an advanced water recycling scheme in Australia.

scholarly journals A CFD modeling procedure to assess the effect of wind in settling tanks

2018 ◽  
Vol 21 (1) ◽  
pp. 123-135 ◽  
Author(s):  
A. Gkesouli ◽  
A. Stamou
Keyword(s):  
Water Treatment ◽  
Present Model ◽  
Settling Velocity ◽  
Transient Flow ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Cfd Modeling ◽  
Flow Conditions ◽  
Computational Fluid Dynamics Cfd ◽  
Research Questions

Abstract We propose a systematic procedure that combines computational fluid dynamics (CFD) modeling and experimental work to answer two research questions that are usually posed by researchers and managers of water treatment plants: ‘Is the effect of wind on settling tanks important?’ and ‘How can we determine this effect in our settling tanks?’ We apply this procedure in the water treatment plant of Aharnes, Athens to derive the following conclusions. (1) The effect of wind increases with increasing co-current wind velocity, increasing settling velocity and decreasing flow rate. (2) In windy steady-state flow conditions, the degree of complexity and three-dimensionality of the flow field that is observed in calm conditions is reduced and the removal efficiency decreases from 85.1 in calm conditions to 82.0%. Predicted efficiencies for constant and variable inlet solids' concentrations compare favorably with measurements. (3) In windy, transient flow conditions, field data show that the effect of wind on the tank's efficiency can be very pronounced and within the first half hour of the windy period the efficiency decreases to approximately 55%; the present model does not capture this effect, because it cannot simulate the sludge layer and the subsequent re-suspension of the settled solids.

scholarly journals A NOVEL APPLICATION OF CHAOTIC PROPERTIES IN WATER TREATMENT PLANT

2016 ◽  
Vol 12 (12) ◽  
pp. 4749-4763
Author(s):  
Sridhar Natarajan ◽  
S. Senthil Kumaar
Keyword(s):  
Water Quality ◽  
Water Treatment ◽  
Tamil Nadu ◽  
Chaotic Behavior ◽  
Data Extraction ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Plant Performance ◽  
World Health ◽  
Treated Drinking Water

This paper aims at presenting a new optimization proposal to enhance the flocculation process in Water Treatment (WT) plant using a better flash mixing, located at KELAVERAPALLY, in Krishnagiri district, Tamil Nadu, India. Further, Sludge removal is done efficiently which decreases the water wastage as well as improvement in output water quality. Though WT plants are already equipped with systematic and sequential physicochemical processes, still they need to be optimized to obtain a better treated drinking water to maintain the quality standards as prescribed by World Health Organization. Chaotic behavior in chemical systems has been used to optimize the performance of WT plant. Measurement systems implemented in WT plant yield several chaotic based measurement parameters which are used to control the system operations to maintain the target water quality.  This intelligible data extraction through the proposed measurement  systems in a short span of time improves the plant performance without adding any costly systems except few changes in the existing plant setup.  Chaotic behavior is ensured through Lyapunov Exponents and Kolmogorov-Sinai Entropies. Both, water quality improvement and water wastage reduction is achieved simultaneously in the proposed work when a dosage prediction is done using Feed Forward Neural Networks. The treatment plant investigated has a maximum capacity of 14 MLD (Million litres per day) using two parallel streams with 7 MLD each

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