Project #4791

Design and Validation Protocols for UV Disinfection Systems

$542,000
Completed
Principal Investigator
Ernest
Blatchley
Research Manager
Mr. Ashwin Dhanasekar
Contractor
Purdue University
Treatment
Reuse

Abstract

The goal of this research was to develop and apply stochastic approaches for analysis of process performance in UV disinfection systems. The stochastic methods used in this research will allow users to accurately predict process performance in UV disinfection systems, including inherent variability. By application of this method, UV disinfection system designs can be improved to address this variability directly, rather than relying on safety factors (i.e., overdesign) as a means of ensuring process reliability. The methods developed and applied in this research represent a new design and process analysis paradigm for UV disinfection systems which has the potential to yield improvements in reactor efficiency and reliability, simultaneously. As such, the application of these methods has the potential to reduce capital and operating costs of UV disinfection systems. Published in 2019.

A fact sheet about this project can be found below, under Project Papers.

Originally funded as WERF project ENER16C15.

Resources