Smart Water Symposium
393867 - Augmenting SCADA with SWMM to Measure and Tune the Coordinated Control Behavior of Intelligent Assets within a Collection System
Monday, June 4
4:00 PM - 5:30 PM
Location: Lakeshore A
Fred Myers, South Bend, IN – EmNet LLC; Luis Montestruque, South Bend, IN – EmNet LLC; Reese Johnson, Cincinnati, OH – MSD Greater Cincinnati; Melissa Gatterdam, Cincinnati, OH – MSD Greater Cincinnati
The Metropolitan Sewer District of Greater Cincinnati has been making strides toward reducing overflows using advancements in their smart sewers. Improvements within the Mill Creek drainage network include real time remote monitoring, coordinated control of inline storage facilities, and the full automation of the SSO700 Storage and Treatment Facility (STF). Opportunities were revealed to further leverage the SSO700 STF to reduce surcharging and overflow volumes within the downstream interceptor. The facility was adapted with remote reactive control logic to begin diverting flow when the interceptor is hydraulically stressed.
To design and evaluate the performance of control strategies, rainfall-driven hydraulic models have been traditionally used. After implementing the controls into the real-world collection system, beyond using available data to interpret and study the efficacy of the prescribed control solution, there has not been an accurate way to understand system-scale impacts for real wet weather events. This is because rainfall driven models have significant uncertainty in rainfall inputs and runoff surface hydrology.
The overcome these limitations, a Level2Flow plug-in was created for SWMM5 (OpenWaterAnalytics) which solves for network inflows using the sensor levels without rainfall. Solved inflow points based on observed level data matched with Nash-Sutcliffe Efficiency > 0.95, suggesting an excellent representation. Once the flows are determined from “today’s” data, they are injected into an alternative controls simulation. The plug-in provides an optimization framework to quantify how the control logic is performing, and how it would have performed for the same wet weather event but different logic with high confidence.