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Case Study: Wastewater Energy Cost Reduction

Wastewater Energy Cost Reduction for A Northern California Water Plant

A Northern California Wastewater Plant, uses PredictEnergyTM analytics to reduce wastewater energy cost.

A Northern California Wastewater Plant processes wastewater for several nearby major cities.

The Wastewater Plant provides primary, secondary, and tertiary water treatment for two cities, and provides tertiary treatment for three other cities. These processes produce clean water which is discharged back into the ocean.

The treatment of wastewater is an energy intensive process due to the various treatment steps and equipment used, namely: mechanical separation, aeration blowers and large motors for pumping.

This wastewater plant is aging and is operated using a relatively outdated SCADA (Supervisory Control and Data Acquisition) system. The management team was interested in determining how to reduce the energy costs associated with wastewater treatment, but the only visibility the water plant had into energy cost was the monthly utility bill. They struggled without access to key business metrics associated with energy cost to guide their wastewater energy cost reduction efforts.

However, PredictEnergyTM analytics enabled them to “visualize” their operations from a cost perspective by providing key business performance indicators (KPIs), including:

  • Kilowatt-hours per million gallons (MG) processed; energy use per unit output.
  • The cost of the energy based on the actual utility tariff which changes with time of day, day of week, season and peak energy demand; energy cost per unit output.
  • Comparison analytics against previous day, month, or year’s performance.

WQCP's Dashboard for their wastewater energy cost reduction

Allowing the plant to achieve the wastewater energy cost reduction that they need.

With effective visualization of the plant's performance, PredictEnergyTM enables the processing of wastewater at the lowest cost and creates energy cost savings of nearly 10%.

PredictEnergy’sTM analytics platform with near real-time data, provides a level of visibility into plant health never before available, The wastewater plant has also already identified multiple maintenance items prior to potential failure, that will further provide wastewater energy cost reduction and eliminate unnecessary downtime.

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