2010eCite Digital Repository (University of Tasmania)Open access

A methodology of finding dispersion coefficient using computational fluid dynamics (CFDs)

Rouzbeh Abbassi, Faisal Khan, Kelly Hawboldt

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Abstract

The treatment efficiency of waste stabilization pond is directly related to its hydraulic regime. The hydraulic efficiency of the pond is dependent on parameters such as the pond geometry, the location of inlet and outlet and the inlet flow velocity. Poorly designed or specified hydraulic parameters may lead to short circuiting and dead regions within the pond. This in turn impacts the dispersion coefficient. Drogue and tracer studies are often used to get actual dispersion coefficients; however, tracer studies can be costly and are therefore not practical to do frequently. The objective of this paper is to obtain the actual dispersion coefficient using computational fluid dynamic (CFD) approach (using Fluent). The CFD results are validated using an actual tracer test.

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What this paper is about

The treatment efficiency of waste stabilization pond is directly related to its hydraulic regime. The hydraulic efficiency of the pond is dependent on parameters such as the pond geometry, the location of inlet and outlet and the inlet flow velocity. Poorly designed or specified hydraulic parameters may lead to short circuiting and dead regions within the pond. This in turn impacts the dispersion coefficient. Drogue and tracer studies are often used to get actual dispersion coefficients; however, tracer studies can be costly and are therefore not practical to do frequently. The objective of this paper is to obtain the actual dispersion coefficient using computational fluid dynamic (CFD) approach (using Fluent). The CFD results are validated using an actual tracer test.

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Available abstract

The treatment efficiency of waste stabilization pond is directly related to its hydraulic regime. The hydraulic efficiency of the pond is dependent on parameters such as the pond geometry, the location of inlet and outlet and the inlet flow velocity. Poorly designed or specified hydraulic parameters may lead to short circuiting and dead regions within the pond. This in turn impacts the dispersion coefficient. Drogue and tracer studies are often used to get actual dispersion coefficients; however, tracer studies can be costly and are therefore not practical to do frequently. The objective of this paper is to obtain the actual dispersion coefficient using computational fluid dynamic (CFD) approach (using Fluent). The CFD results are validated using an actual tracer test.

Key concepts: TRACER, Computational fluid dynamics, Inlet, Fluent, Dispersion (optics), Flow (mathematics), Mechanics, Environmental science

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