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Explore control strategies for two distillation columns in a sequence under varying conditions. Utilize a self-optimizing method with active constraint regions and systematic modeling. Consider potential disturbances and examine the effect of candidate controlled variables. Investigate the impact of measurement errors on temperature, concentration, and flow rates.
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Master project: Control structure design for a sequence of distillation columns Tor Anders Marvik Supervisor: Sigurd Skogestad Co-supervisors: Vladimoros L. Minasidis Johannes Jäschke Name, title of the presentation
Optimal controlstructureoftwodistillationcolums in a sequence Varying marked conditions Computer model Active constraint regions Self-optimizing variables Region 1: V2, V1, xD2,B active Region 2: xD2,B active General/systematic approach?
The model Based on column A by Skogestad 41 tray Feed on tray 21 Assumtions: Constant pressure Constant relative volatility Constant molar flows, No vapor holdup, Equlibrium on all stages Total condenser Steady state model in Matlab Conditions from Jacobsen
Approach to findself-optimizing variables? • Brute force • Null space HF=0 • Exactlocalmethod • Possibledisturbances • F,q,zF, prices, • CV candiates • Traytemparature, composition, L1, V1, D1, L2, V2 D2, B2 • Combination
Combinations as CV • Combination ofTemperature (As RoalBræck Leer) • All stages • Every 5th stage • Ratio withfeedflow
Sizeofthemeasurementerror • Temperature: 1 K • Consentraiton: 5% • Flow: 10%
To do • A LOT • Standard approach • Brute force exactlocalmethod • See how L changes to disturbanceswhenthecandiadate CV is fixed
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