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Oxygen control in a wastewater treatment plant using adaptive predictive controllers

Oxygen control in a wastewater treatment plant using adaptive predictive controllers. Gregor Kandare, Jozef Stefan Institute, Slovenia. Adaptive predictive control. Process description. 6 pools with butterfly valves and 2 dissolved oxygen sensors each.

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Oxygen control in a wastewater treatment plant using adaptive predictive controllers

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  1. Oxygen control in a wastewater treatment plant using adaptive predictive controllers Gregor Kandare, Jozef Stefan Institute, Slovenia

  2. Adaptive predictive control

  3. Process description • 6 pools with butterfly valves and 2 dissolved oxygen sensors each. • 4 blowers with diffuser for pressure control.

  4. Process description

  5. Process description

  6. Control issues • Biological dynamics of the process • Aleatory operation context • Lack of process information • Interactive nature of the process

  7. Control objectives • Maintain the dissolved oxygen signal at its setpoint by manipulationg the aeration with butterfly valves. • Maintain the air pressure in the main air conduct at a setpoint that minimises energy consumption and assures good oxygen control.

  8. Control strategy • 6 controllers – one for each pool

  9. PID control • Oxygen and valve opening

  10. PID control • Air pressure and airflow

  11. Adaptive predictive control • Oxygen and valve opening

  12. Adaptive predictive control • Air pressure and airflow

  13. Oxygen control evaluation

  14. Energy optimisation Objectives: • Maintain air pressure at a minimal level which still permits satisfactory oxygen control. • Maintain dissolved oxygen setpoints at a minimal level that ensures required effluent water quality.

  15. Pressure optimisation

  16. Pressure optimisation

  17. Pressure optimisation

  18. Pressure optimisation

  19. Change PID – adaptive predictive

  20. W – energy, p – pressure, V - volume P – power, ΦV - airflow W – consumed energy in each pool in a time interval [t0,t1] Energy consumption estimation

  21. Consumption reduction

  22. Conclusions • The adaptive predictive controllers stabilise the process and maintain oxygens at therir setpoints • More stable oxygen control and pressure setpoint optimisation decrease energy consumption by 15-23 %

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