UVU Civil Engineering Capstone Project

3D Water Quality Modeling of the 10 Million Gallon North Shore Terminal Reservoir

Prepared By: Steven Taylor, Randy Kee, and Ryan Jackson

KC Shaw, P.E., Central Utah Water Conservancy District
Cort Lambson, P.E., Central Utah Water Conservancy District
Bradley R. Perkins, P.E., Central Utah Water Conservancy District

North Shore Terminal Resevoir Design

Central Utah Water Conservancy District (CUWCD) provides clean water to the residents of Juab, Sanpete, Summit, Utah, Salt Lake, Wasatch, Duchesne, and Uintah Counties. CUWCD manages two hydroelectric plants, nine reservoirs, and three water treatment facilities. The North Shore Terminal Reservoir (NSTR) has two 5 million-gallon cells that hold 10 million gallons of water. The purpose of NSTR is to help meet the water needs of Saratoga Springs, Eagle Mountain, Jordan Valley Water Conservancy District, and Lehi. Project managers from CUWCD wanted a 3D model of the tank to determine the age and quality of water in the reservoir. ANSYS was selected as the software needed to analyze the tank. ANSYS can analyze the water quality inside the reservoir using computational fluid dynamics (CFD). The model was designed according to the dimensioning information from the structural and mechanical plan sets. The assumptions and simplifications made in the modeling of the NSTR include the check valve design, flow rates, roughness, and geometry. A Fluent analysis of the inlet pipes determined the velocity and pressure information from each of the check valves. Additional analysis for the tank was performed to determine the fluid behavior inside the reservoir. From the tank analysis, it was determined that the corner of each of the cells had a reduced velocity and was not mixing as well as the rest of the reservoir. Based on the results of the experiments, different recommendations were suggested including performing a physical tracer test, reducing the amount of water stored in the reservoir, and adding an active mixing system. An impact analysis was conducted to determine how the recommendations would impact the people, environment, and cost.

Students' Presentation