Board Machine - Stability, Energy Efficiency & Product Quality
Case Study Pulp and Paper - Test Liner
Company Visy Pulp and Paper
Challenge Improve stability and energy efficiency
Solution Board Machine Wet-End Optimisation
Results Payback within 6 months
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.
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.
RETURN ON INVESTMENT
The project required 16 weeks to implement. The Model Predictive Controller provides:
A reduction in top and bottom layer backwater consistency variation of 82% and 72%, respectively.
A corresponding reduction in top and bottom layer wire retention variation of 76% and 65%.
Knock-on reductions in MD weight and moisture variation of 20% and 14%.
The optimiser uses the platform of reduced variability to deliver the following primary business benefits:
A 10% reduction in steam consumption. This corresponds to a 5,200 t/y reduction in CO2 emissions.
Production increases of 5% per annum through increased stability and dryer de-bottlenecking.
The benefits delivered a full return on investment within 4 months of commissioning. The programme is fully supported by Perceptive from their offices in UK and Singapore.
Our Clients & Partners
Selection of our clients and key partners we work with to improve process efficiency