Predictive Approach to Resin Exhaustion Monitoring

Predictive Approach to Resin Exhaustion Monitoring

Regenerating deionization resin is a substantial expenditure. The costs of regeneration for acid, caustic, rinse water and labor are considerable. A unique deionization capacity monitoring algorithm from METTLER TOLEDO monitors the exchange capacity of DI systems and accurately predicts resin exhaustion before leak or breakthrough, regardless of water quality.

Regenerate resins only exactly when it is needed.

Most of the methods used to detect exhaustion work only after breakthrough has occurred. There is no advance warning. The process downstream begins receiving contamination at the same time the measurement detects it.

Predicting resin exhaustion has many benefits. For one, as resin exhaustion might occur during the weekend or night shifts, a predictive approach allows for more reliable scheduling of operations. It also helps avoid early regeneration, which translates into less acid or caustic consumption.

The "Deionization Capacity Monitoring Reduces Water Treatment Costs" white paper provides information on efficiently predicting resin exhaustion. It offers information on how with the right monitoring and diagnostics, you can avoid downstream contamination of your water cycle chemistry, and costs of early resin regeneration in your deionization system.

See how METTLER TOLEDO DI-Cap works:

Monitoring and controlling highly corrosive contaminants in power water cycle chemistry can have a major positive impact on operating costs and efficiency, meeting turbine warranty requirements, and more importantly, plant safety. Preventing ion exchanger breakthrough is one way to protect against turbine and boiler corrosion.

Using traditional methods of measuring sodium, silica and conductivity to monitor water purity are all viable options, but they all have a common disadvantage. They detect resin exhaustion only after breakthrough. This means that contaminants have already reached your process water as it is being detected by your analyzer or sensor! The DI-Cap diagnostic tool provides a reliable, easy-to-implement alternative.

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