College
College of Engineering (COE)
Date of Last Revision
2023-05-03 23:33:23
Major
Civil Engineering
Honors Course
4300:497
Number of Credits
3
Degree Name
Bachelor of Science
Date of Expected Graduation
Spring 2020
Abstract
Advances in computer science, data analytics, hardware, and software are changing the way that sewer collection systems are able to operate. By combining these technologies into something called a Real-Time Decision Support System (RTDSS), operators of sewer collection systems can make operational decisions supported by data being recorded throughout the sewer system in real-time. A RTDSS has the potential to optimize the available capacity of a sewer collection system at a lower cost compared to traditional construction solutions. The City of Akron is in the process of implementing a RTDSS in their sewer collection system. This report analyzes how the early implementation process demonstrates both the potential capabilities of the RTDSS and a successful adoption method for system operators. The RTDSS reduced overflows by 60% in an early training simulator and had the potential to reduce overflows by 98.2% and 99.8% during rain events in June of 2019 when it was operating in the background at the AWRF as a test. These early indicators of success in the AWRF provided early proof of concept to operators and encouraged a healthy continuation of the implementation process.
Research Sponsor
Dr. Christopher Miller
First Reader
Dr. Stephen Duirk
Second Reader
Dr. David Roke
Honors Faculty Advisor
Dr. Ping Yi
Recommended Citation
Durbin, Hunter, "Implementation of Real-Time Decision Support Technology at Akron Water Reclamation Facility" (2020). Williams Honors College, Honors Research Projects. 1055.
https://ideaexchange.uakron.edu/honors_research_projects/1055
Included in
Civil Engineering Commons, Environmental Engineering Commons, Hydraulic Engineering Commons