PERIODIC CONTROL OF A WASTEWATER TREATMENT PROCESS TO IMPROVE PRODUCTIVITY MUHAMMAD RIZWAN AZHAR KING SAUD UNIVERSITY Saudi Arabia.

PERIODIC CONTROL OF A WASTEWATER TREATMENT PROCESS

TO IMPROVE PRODUCTIVITY MUHAMMAD RIZWAN AZHAR

KING SAUD UNIVERSITYSaudi Arabia

Introduction Process description Periodic control RobustnessConclusion

Outline

EmadAli

The outline should be updated after adding new slides as I suggested later in the following slides

Usually refer to sewage treatmentRemoval of containments from wastewaterActivated sludge processAerobic/anaerobic

Introduction

Process Description

ReactorV, S, X SettlerD, S i X , S S

WDUD, X r , S

EmadAli

need to add an oveal objective and motiviation of the work before this slide

Well mixed unitsWell aerated reactorXi = 0No reaction in settlerNo settler dynamicsIdeal settler: Xout = 0

Process modelAssumptions

EmadAli

EmadAli

it is better to define Xi, i.e say biomass in feed is zeor

Optimal Operating Conditions

Variation of Steady State with Dilution rate; dotted: Biomass (X), dashed: Substrate (S), solid: Productivity (Pr)

EmadAli

need to add a slide for the model equation befre this slide

Application Concept of MPC

PlantMPC

Model+

-

+

_

yp

ym

u

x

er

Control Objective

Controlled Variables:ProductivityPr=D(1-S) i.e. amount of waste water treated

Manipulated Variables:Dilution rate D

EmadAli

replace 1 by Sf

Periodic forcing the input DRobustness in presence of

Modeling error External disturbance rejection

Control objective

EmadAli

you need to add a slide showing what do you mean by periodic function and how to do you transform D into a simusoidal function

Enhanced productivity in terms of substrate consumption

10 % increase than the maximum productivity in case steady state

Controller performance

EmadAli

is this 10% or 20% increase, the plot shows 20% increase

Variable feed quality in WWTP Closed loop response for -25% error in Y, 10% error µ and

-10% step change in K

Robustness (Tracking modeling errors)

Regulatory performance 10 % increase in substrate concentration

Robustness (External disturbance)

10 % increase beyond the maximum productivity when periodic operation is enforced via MPC

Robust controller in presence of modeling errors and external disturbances

Less energy consumption as the fluctuation rate is kept within xx% (need to ad some numbers here)

Economically feasible (you should explain how in words)

Conclusion

Questions

PERIODIC CONTROL OF A WASTEWATER TREATMENT PROCESS TO IMPROVE PRODUCTIVITY MUHAMMAD RIZWAN AZHAR KING SAUD UNIVERSITY Saudi Arabia.

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