Visy Pulp and Paper is a leading supplier and manufacturer of packaging from recycled sources.
Their pulp and paper site in Coolaroo, Victoria makes coating base sheet and test liner paper from 100% recycled packaging waste.
Producing high quality recycled board is extremely challenging and energy intensive. The recycled feed stock tends to be variable in both quality and drainability (or freeness). These variations have an adverse impact on machine stability, steam consumption and machine efficiency, leading to more paper breaks.
The business challenge is to produce large volumes of high quality paper while minimising the effect of these disturbances on the wet-end of the machine.
Improved wet-end stability reduces break frequency, improves drainage, reduces steam consumption.
The key operating objective in the production of packaging paper is to produce high volumes of product as efficiently as possible. Board machines operate at high production rates and are often bottle-necked by their dryer's capacity. In this mode of operation stability of the "wet-end" is critical.
Natural variations in feedstock freeness introduce instability in the wet-end's backwater consistency and hence machine retention. This instability often leads to paper-breaks and associated lost production. In addition, freeness transients increase dryer steam demand and can potentially drive the sheet's Machine Direction (MD) moisture outside of specification.
Perceptive Engineering's solution is to construct a robust model which describes the interactions between key stock flows, vacuums and retention chemicals, and their influence on backwater consistency and drainage. This model is used in a Model Predictive Controller to reduce wet-end and sheet variation by handling the machine interactions and dynamics. A real-time optimiser is coupled to the controller to maximise energy efficiency and ensure optimal use of the machine’s retention chemicals.
The project required 16 weeks to implement. The Model Predictive Controller provides:
The optimiser uses the platform of reduced variability to deliver the following primary business benefits: