Sunyoung Bu, University of North Carolina, Chapel Hill


Modeling and Simulating an Advanced Dissolved Organic Carbon Removal Process

Abstract: This paper discusses the modeling and numerical simulations of the dissolved organic carbon (DOC) removal process in water treatment studies. We first introduce a new Age-Averaged Model (AAM) which averages all ages for the same size particles to avoid the expensive Monte-Carlo simulation with respect to the residence time distribution (RTD). Next, we discuss Krylov deferred correction (KDC) schemes and fast elliptic solvers for the resulting elliptic equations. Numerical results are presented to validate the new AAM model is numerically more efficient and economical. Also, when properly implemented, the higher order KDC schemes can be more efficient compared with many existing schemes for the same accuracy requirement.

Mentor: Jingfang Huang (University of North Carolina)

Collaborators: Jingfang Huang, Cass. T. Miller (University of North carolina) and Treavor Boyer (University of Florida)