Computational fluid dynamics (CFD) simulations are being increasingly used to improve these operations, as CFD provides insight that cannot be obtained through testing or physical trials. While not everyone needs to become a CFD engineer to benefit from the application of CFD tools, a basic understanding of the strengths, weaknesses, and common pitfalls that can occur within a CFD model can provide guidance for achieving reliable simulation results.

A brief overview of the theoretical basis of CFD methods is followed by practical guidelines for ensuring that the simulation effort provides accurate results. Topics discussed will include domain selection, boundary conditions, model features, physics included, model simplification, gridding, turbulence models, solution procedure, and analysis of results. Illustrative examples will be included.