Abstract
This paper is a further development of the work presented in a previous publication by the authors on the topic of discretization error estimation using error transport equation technique on a single grid computation. The goal is to develop a dynamic algorithm that can be used in conjunction with computational fluid dynamics (CFD) simulation codes to quantify the discretization error in a selected process variable. The focus is applications where the conservation equations are solved for primary variables such as velocity, temperature and concentration, using finite difference and/or finite volume approach. An error transport equation (ETE) is formulated and a generalized source term for the ETE is proposed. More extensive and complex examples are presented to elucidate problems encountered and provide possible remedies to improve error prediction. The ETE results are compared with those of the more commonly used Richardson Extrapolation method.
Published Version
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