publications image

Part II. Performance Evaluation of Reverse Osmosis Membrane Computer Models

Part II. Performance Evaluation of Reverse Osmosis Membrane Computer Models

Mancha, Erika, Don DeMichele, W. Shane Walker, Tom Seacord, Justin Sutherland, and Aaron Cano
Published In: 
Texas Water Development Board - Final Report,  
January 2014
Under the current Texas Administrative Code, membranes (both low-pressure and desalting) are considered “innovative technologies.” To implement membrane treatment for drinking water, pilot testing is required for approval by the Texas Commission on Environmental Quality. In many cases, demonstration-scale pilot testing is a costly and time-consuming approach to achieve regulatory approval of reverse osmosis/nanofiltration membrane systems particularly for smaller water treatment systems. The use of software-based computer models is an alternative method for predicting membrane performance. Semi-empirical calibrated computer models are available at no cost and are used frequently by engineers and manufactures to assist in the design of membrane water treatment plants. This study investigated the accuracy and precision of computer models provided by six different reverse osmosis membrane manufacturers. The accuracy analysis compared the computer model performance projections with the observed performance of seven full-scale membrane facilities. The accuracy of each computer model was the degree to which the computer model performance projections matched the observed membrane system performance at facility start-up. The precision analysis compared the performance projections from computer models provided by multiple membrane manufacturers for similar membranes and operating conditions. The precision analysis was based on observed operating conditions at two full-scale facilities, and water quality data from one undeveloped brackish groundwater aquifer located in Texas.
Mancha, E., D. DeMichele, W. S. Walker, T. Seacord, J. Sutherland, A. Cano. 2014.  "Part II.  Performance Evaluation of Reverse Osmosis Membrane Computer Models." Texas Water Development Board Final Report. January 2014.