Webinar | Optimizing Wastewater Treatment - Insight from Brockton AWRF

This insightful case study features Brockton Advanced Water Reclamation Facility (AWRF), a large wastewater treatment facility located near Boston, MA, that serves a population of over 132,000. Special guest John Downey, Veolia Brockton AWRF Instrumentation Manager, and Adrienne Stenz, YSI Process Application Engineer, will discuss how the plant leverages online sensor technology for ammonia-based and dissolved-oxygen aeration control to achieve optimal performance and meet stringent effluent limits.
Key Highlights:
Brockton AWRF Plant Overview: Explore Brockton AWRF’s wastewater treatment process using YSI IQ SensorNet ammonia ISE, DO, and UV-nitrate sensors to control the aeration process.
Insights from a Utility Operator: John Downey will share insights on the preventative maintenance schedule implemented to ensure the reliability of fifty-two online sensors as control points in their system. Learn about sensor placement, routine maintenance, and measurement verification techniques for high-quality sensor data.
Comparison of Aeration Control Methods: We’ll cover an analysis of blower energy consumption, treatment efficiency, and effluent quality for a month between ammonia-based and dissolved-oxygen aeration trains employed at the plant.
Operational Differences Between Methods: Discover the operational differences between the two methods, including ease of operation, blower control schemes, and optimal sensor placement.
What You’ll Learn:
Gain real-world insights into using online sensors for ammonia-based and dissolved-oxygen aeration control to help meet regulatory compliance and improve process efficiency.Discover effective preventative maintenance practices to ensure the reliability and accuracy of online sensors as control points within a wastewater plant.
Understand the comparative performance of aeration control methods. Gain valuable insights into the differences and find out how to optimize treatment processes and maintain high-quality effluent water with online sensors.
Don't miss this opportunity to enhance your knowledge and optimize your process control.