OPTIMIZE USING MACHINE LEARNING

Meet production while saving up to 18% of energy costs in the heart of the desalination process: reverse osmosis.

Plant owners need the best price for every metre cubed of water.

Plant managers need safe and proven solutions for more efficient operations.

Plant operators need to focus on daily alarms and producing water, without the headaches of lengthy optimization calculations.

How it works

Our patent pending solution sends daily set points to your operators, who save energy by entering the values into the SCADA system and simply continuing on with their day. We can also integrate directly with your SCADA system to realize additional savings. No new hardware is needed.

Multitrain optimization

Multi-train optimization simulates multiple trains of RO racks, while modelling the properties of the plant that are difficult to model mathematically. The simulation, combined with machine learning, finds states that reflect the best ways to meet KPIs of a particular plant.

The approach

For energy saving at a desalination plant, Synauta applies a phased process to optimization:

Phase 1 Machine Learning Ready Report: Answers how much energy we can save you.
Phase 2 Semi-Auto Mode: Operators receive recommended daily set points.
Phase 3 Full-Auto Mode: Realize additional energy savings with secure SCADA integration.

Energy savings are realized faster with plants that have a good backlog of data in their SCADA Historian.

See how much you can save

$ 0
Potential savings at a 300,000m3/day seawater RO plant

Annual saving based on $0.15 kWh and 2.5 kWh/m3

$3,145,272

Contact us to start your Machine Learning Ready Report
Useful links
Folleto en Español

Haga clic aquí para descargar un folleto.

Flyer in English

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