Energy and Quality oriented modeling and control of REFiners

Transcription

1 The northernmost University of Technology in Scandinavia Top-class Research and Education Energy and Quality oriented modeling and control of REFiners Wolfgang Birk

2 L U L E Å U N I V E R S I T Y O F T E C H N O L O G Y Innehåll Mycket kort status information om projektet Control of refiners Modelleringsresultat Wolfgang Birk Control Engineering Group LTU Sida 2

3 L U L E Å U N I V E R S I T Y O F T E C H N O L O G Y Activities Wolfgang Birk Control Engineering Group LTU Sida 3

4 L U L E Å U N I V E R S I T Y O F T E C H N O L O G Y Project plan Project plan - EQoRef - Version 1.1 Work package / Task ID Title J F M A M J J A S O N D J F M A M J J A S O N D WP-I: Quality oriented refiner modeling T1.1 Energy modeling T1.2 Quality modeling WP-II: Structure and performance criteria T2.1 ProMoVis decision making T2.2 Energy-quality balance optimisation T2.3 Constrained structure effects WP-III: Quality oriented MPC scheme T3.1 Energy-quality oriented control scheme T3.2 Structured quality oriented control scheme WP-IV: Test & Verifiering T4.1 Experiment and evaluation project T4.2 Modeling test campaign T4.3 Control test campaign WP-V: Result transfer T5.1 Halfway workshop T5.2 Tutorial and workshop WP-VI: Project management T6.1 Kick-off T6.2 Steering team meeting 1 T6.3 Steering team meeting 2 T6.4 Steering team meeting 3 T6.5 Steering team meeting Wolfgang Birk Control Engineering Group LTU Sida 4

5 L U L E Å U N I V E R S I T Y O F T E C H N O L O G Y Reglering av raffinören Samarbete med ett universitet I Grekland och uppstart av ett examensarbete om Model Predictive Control of a Pulp & Paper Refiner Arbetet pågår och förväntas avslutas I november Framtagning av 1. en enkel reglerorienterat model 2. MPC strategy med energibegränsningar Utkast av en survey artikel, A survey on Control Approaches for Pulp Refiners, som sammanfattar literatursökning kring styrning av raffinörer är framme. Wolfgang Birk Control Engineering Group LTU Sida 5

6 L U L E Å U N I V E R S I T Y O F T E C H N O L O G Y Modelleringsresultat Över till Patrick Wolfgang Birk Control Engineering Group LTU Sida 6

7 The northernmost University of Technology in Scandinavia Top-class Research and Education Results from Refiner Modelling Patrick Höhn Luleå Tekniska Universitetet SCOPE Meeting

8 Outline Refiner in the Distributed Control System Refiner as Block Diagram Available Signals around Refiner Analysis of Process Data Experiments Results from Empirical Models Future Work

9 Position of refiner inside Pulp Mill DCS Graph for pulp mill, right refiner used for experiments

10 HC Refiner inside the DCS

11 HC Refiner Block Diagram Energy set spec. Eng + set screw set dil. wat +- + dp C K C K rpm C K dil wat Motor Effect REFINER Vibration 1 Vibration 2

12 HC Refiner Signals SC521VAL RE825_GIV2 PI532 RE825_EFF FC447VAL PI533

13 Analysis of Process Data Process Data of Pulp Mill, including massflow rates, levels, power consumptions, rotor positions, hydraulic pressures

14 Potential Improvements Oscillations in one control loop Possibly caused by interactions between different controllers, but no gain in efficiency

15 Experiments at Mondi Two experimental series with HC Refiner at different sampling rates Collection of signals for mass-flow rates, closing pressure, rotor position, vibration indicators and motor effect Base for empiric modelling of the refiner and its surroundings

16 Important Signals SC521VAL RE825_GIV2 PI532 RE825_EFF FC447VAL PI533

17 HC Refiner Block Diagram Energy set spec. Eng + set screw set dil. wat +- + dp C K C K rpm C K dil wat Motor Effect REFINER Vibration 1 Vibration 2

18 Modelling results Screw Feeder Validation of modelled transfer function from the control output of the screw feeder to the measured value

19 Modelling results Refiner Validation of modelled transfer function from difference pressure, water flow rate and screw speed to the motor Effect

20 Next Steps Further improvement of model quality Energy optimization of the refiner control using Convex Optimization to achieve faster response with less energy consumption

21 Thank you for your attention Questions?