- Industries
- Nutritionals and Ingredients
- Case Study - Casein
Casein Dryer - Process Efficiency, Product Quality & Yield
Company
Glanbia Ingredients
Challenge
Improve / maintain product quality, increase yield from dryer
Solution
Inferential Sensor, Model Predictive Control
Results
Payback within 6 months
BUSINESS CHALLENGE
Glanbia is one the world's leading manufacturers of dairy nutritional ingredients, employing Six Sigma methodology to help improve process efficiency.
Their site in Ireland produces a broad range of dairy products, including powders such as whey, lactose,skimmed milk and casein.
Casein powder is very granular in nature, posing a challenge for reliable in-line moisture measurement.
Without robust real-time data, process efficiency will be degraded and product giveaway increased, which will have an impact on profitability of the plant.
SOLUTION
A robust virtual sensor for moisture measurement, coupled with predictive control, allows production to be maintained much closer to specification, under all conditions. Read more...
PERCEPTIVE SOLUTION
The key operating objective in the production of Casein powder is to maximise moisture content while still remaining within final specification. Operating too close to upper quality limits may result in out-of-spec end product, along with the risk of lost production due to blockages in the dryer, cyclones or mill. Dryers are often run with a wide ‘comfort’ margin; final product moisture may be well below customer specification.
Perceptive Engineering constructed a robust model of dryer performance from process metrics,including raw material quality, dryer air temperatures, discreet data from laboratory analysis,dryer operating parameters. Then, we developed an inferential sensor, providing accurate, real-time estimation of casein moisture under all conditions. This integral part of the model predictive control system enabled the plant to maintain very tight control of product moisture.
RETURN ON INVESTMENT
The project required 12 weeks to implement. Real-time inference enabled powder moisture to be maintained closer to constraint, improving yield by 0.65%. Higher moisture was exploited as increased dryer capacity, enabling higher throughput. Improved start-up control delivered an average of 7 hours per week of extra on-spec production.
The benefits delivered a full return on investment within 4 months of commissioning, sustained via an ongoing support programme provided by Perceptive.
“Advanced control and the ‘soft’ sensor from Perceptive helped us to greatly improve our process efficiency. Exit moisture capability in the Casein dryer increased from 1.8 to above 3.5 Sigma and the Perceptive system is a key part of our optimisation strategy.”
Niall Herlihy, Process Technologist, Glanbia
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