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MultiSimplex

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Case study: Screening Optimization

 

Benefits obtained from installing MultiSimplex control systems on pulp screens and screening lines.

 

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Results: MultiSimplex Screening Controller

 

50% reduction of Freeness variation 

 

• Possibillity to reduce reject rate

 

System specifications

·         Control variable 1: Dilution water flow, Primary Screen (s)

·         Control variable 2: Dilution water flow, Secondary Screen (s)

·         Control variable 3: Reject rate Primary Screen (s)

·         Control variable 3: Reject rate Secondary Screen (s)

·         Response variable 1: Freeness (Target)

·         Response variable 2: Shive content (Minimization)

·         Response variable 3: Long fiber content (Maximization)

·         Response variable 3: Total reject rate (Minimization)

 

Control variable set points are optimized using the patented MultiSimplex algorithm.

 

Response variables are combined and priorotized using the fuzzy logic feature in the MultiSimplex algorithm.

 

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Screening optimization – objectives

When optimizing a screening system, you want to achieve certain pulp/fiber properties at lowest possible reject ratio while maintaining or increasing the availability of the screening system.

MultiSimplex Screening Controller is a supervisory control and optimization system that automates the control and optimization of screening systems.

MultiSimplex effectuates the optimization by controlling the screens based on response variables such as pulp quality and reject rate (energy cost).

Users can prioritize different optimization criteria. MultiSimplex offers the possibillity to change/modify the optimization goals for different products,production runs, etc.

MultiSimplex will adaptively raise the "bar" for the optimization, when conditions are good.

 

Mill specific objectives

The objectives with the installation of the MultiSimplex Screening Controller New Company TMP mill were: Lower variations in pulp quality by minimizing the shive content at a target freeness level.