Municipal Water

Wastewater Treatment Plant Reduces Energy Consumption with Performance Monitoring

The Challenge

Centered in a rapidly urbanized Tennessee watershed, this  award winning municipal wastewater plant had a mission of  continuous improvement for their customers and  environment. With flows leading into the  Tennessee river, managing all facets of water  quality is crucial to maintaining the local  ecosystem.  

Erratic storms and unexpected wet weather in  the region led to excessive inflows, causing the  plant to endure repeated overflows and violations. The original plant, built in 1963,  underwent a renovation and expansion in 2006  to prevent further sewer overflows. Following the  plant’s renovation, the number of overflows  dramatically decreased, but weather patterns  worsened.  

The utility initiated several programs to alleviate  chronic sanitary sewer overflows and improve  water quality in the creek downstream. Yet,  operating a system of 22,000 customers,  covering over 100 square miles in a region of  unpredictable weather remained a constant  challenge.  

The rate of influent flow impacts many aspects of  managing and treating wastewater. Energy  consumption is a critical parameter for the  operators. If they don’t have the right  information, the energy consumption will spike. 

The Solution

  • Plutoshift monitored the key metrics  of the plant in combination with wet  weather patterns. Leveraging the  existing SCADA system, Plutoshift  built a model to forecast influent  flow based on weather patterns and  previous plant behavior. Requiring  no installation or integration, the team was able to access actionable  insights into their operation  immediately upon deployment. 
  • Delivered directly to operators  through a web-based dashboard,  the Plutoshift platform provided  operators with information they needed to prepare for the work ahead of them. Plutoshift was able to  forecast influent flow by leveraging  plant data as well as weather data,  predict operational metrics for aeration blowers, predict pump data  patterns, and analyze related  processes. Plant managers and operators could view the unified performance metrics and set a preferred risk level of notification to  manage various anomalies.  


 The Plutoshift platform provided a  new operational perspective by  automating internal functions and  changing the way work gets done at  the plant. Instead of reacting to  events, the operations team could  now plan to address the challenges.

Maintain treatment process stability

Avoid overflow violations

Improved operator work scheduling

Case Studies