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Stripping process design . Prof. Dr. Marco Mazzotti - Institut für Verfahrenstechnik. G. L x 0. y 1. Given Data. Specification. Unknown. Simplifications T,P constant value Raoults law. T, p. n. m=distribution coefficient. Material balance:. G. L. y n+1. x n. 1. The Column.
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Stripping process design Prof. Dr. Marco Mazzotti - Institut für Verfahrenstechnik
G L x0 y1 Given Data Specification Unknown Simplifications T,P constant value Raoults law T, p n m=distribution coefficient Material balance: G L yn+1 xn 1. The Column
The known data is plotted in a x,y Diagram The equilibrium line is plotted The operating line is plotted for n The slope of the operating line = Equilibrium line Operating line yn+1 x*n+1 xn x0 2. Diagram
In the practice, the slope for the operating line is taken as 1 to 2 times the minimum slope: Good values of a are between 1.2 and 2 3. Dimensioning of the Column 3.1 Calculating the necessary gas amount
The known data is ploted in a x,y Diagram The Equilibrium line is plotted The Operating line is plotted The number of stages n are constructed using the proceedure seen in the counter-current stage configuration Equilibrium line n-2 n-1 n yn+1 Goal (here 3 Stages) xn x0 3.2. Number of stages by graphical Construction
Fractional stripping: Stripping Factor: Kremser Equation (as shown in Counter current cascade) Solving this equation for n gives the number of stages 3.3. Number of stages by Kremser Equation
As it is not possible to build decimal stages the number resulting from the Kremser equation has to be round up to the next integer. From this the exact stripping fraction and the concentration x0 can be calculated The gas concentration y1 can be calculated by using the total mass balance 4. Final Procedure xn: y1:
Goal: Liquid stream purification using a gas to a certain specification xn Unknown: Gas flow rate G Number of stages n Temperature T Pressure P Gas composition at outlet y1 Given data: Liquid flow rate L Liquid composition, x0 Composition of gas stream yn+1