MAC3D: Numerical Model for Reservoir Hydrodynamics with Application to Bubble Diffusers

Abstract

The MAC3D numerical model, a three dimensional flow solver initially developed for reservoir hydrodynamics, has been extended to account for the flow and gas transfer induced by bubble plumes. The latter are represented as buoyant columns in which dissolved gas is transferred to or from surrounding water. The local transfer rate is proportional to the dissolved gas concentration, and the resulting flow and gas transport are computed by solving discrete equations for the conservation of mass and momentum. The upward force imposed by a bubble column is directly proportional to the airflow rate through the associated bubble diffuser, and inversely proportional to the local depth and the bubble rise velocity. Gas transfer coefficients are empirical quantities that have to be inferred from laboratory experiments, but eddy viscosity and diffusivity are obtained directly from a k-E turbulence model. In the numerical solution of the governing equations, the explicit MacCormack scheme has been replaced by an implicit upwind scheme that improves stability and reduces execution time by a factor of five to ten. In this report, the model is validated for unstratified or weakly stratified water bodies by comparing predicted velocities and gas transfer rates with data from laboratory experiments and field tests using coarse and fine bubble diffusers.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1998
Accession Number
ADA351951

Entities

People

  • Robert S. Bernard

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Buoyancy
  • Computational Fluid Dynamics
  • Diffusers
  • Dissolved Gases
  • Equations
  • Euler Equations
  • Field Tests
  • Fluid Dynamics
  • Gases
  • Hydrodynamics
  • Mathematical Models
  • Mechanical Properties
  • Mechanics
  • Physics Laboratories
  • Three Dimensional
  • Turbulence
  • Two Dimensional

Readers

  • Combustion and Flow Dynamics.
  • Computational Fluid Dynamics (CFD)
  • Fluid Dynamics.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms