CFD Model of a Grease Interceptor

The research project will be to develop a computational fluid dynamics (CFD) model of the Proceptor. The function of the Proceptor is to separate grease from contaminated water streams. The objective of this research is to study the separation process in greater details to reinforce and enhance the company’s understanding of the Proceptor design. Two commercial software products, Fluent and CFX, will be considered for building the model. The model will be validated using available experimental data. Simulations will be run for different interceptor configurations, and the pressure head loss and removal efficiency will be measured for different inlet flow rates. In addition, the flow pattern inside the reactor tank will be studied to determine the design criteria resulting in longer retention time, and thus greater removal efficiency. The study will attempt to explain the inconsistencies between the theories and some of the experimental results, and to yield information that will allow the company to improve the Proceptor design.

Faculty Supervisor:

Dr. Markus Bussmann

Student:

Eric Fan Sheung-Chi

Partner:

Monteco Ltd.

Discipline:

Engineering

Sector:

University:

University of Toronto

Program: