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Introduction to multicomponent distillation ,[object Object],[object Object],[object Object],[object Object],[object Object]
Multicomponent distillation in tray towers ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],D B y 1 ,y 2 ,y 3 ,y 4 …
Key components ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Distributed and undistributed components ,[object Object],[object Object],[object Object],[object Object],[object Object],A B C D E G key  components heavy non-distributed components (will end up in bottoms product) light non-distributed components (will end up in the overhead product)
Fenske equation for multicomponent distillations Assumption : relative volatilities of components remain constant throughout the column  LK – light component HK – heavy component
Fenske equation for multicomponent distillations Choices for relative volatility:  D B T 1) Relative volatility at saturated feed condition 2) Geometric mean relative volatility why geometric mean?
Non key component distribution from  the Fenske equation Convince yourself and derive for
Minimum reflux ratio analysis ,[object Object],[object Object],y x z f z f x B x D y 1 y B x N
* Relative volatility of each component has to be the same for each invariant zone * Constant molar overflow *  α i =K i /K ref  (Usually K ref =K HK ) The operating line equations for each section of the column become: Underwood method rectifying section stripping section Minimum reflux ratio analysis
rectifying section stripping section In the invariant zones: Underwood method Minimum reflux ratio analysis
We are looking for a condition where this is correct. In general there are  multiple solutions But consider the following Underwood method Minimum reflux ratio analysis
In other words: Under Underwood conditions: A= Ā,  Underwood method Minimum reflux ratio analysis
Minimum reflux ratio analysis: Underwood equations For a given q, and the feed composition  we are looking for A satisfies this equation (usually  A  is between  α LK  and  α HK . Once  A  is found, we can calculate the minimum reflux ratio
Gilliland correlation: Number of ideal  plates at the operating reflux
Kirkbride equation: Feed stage location
Complete short cut design:  Fenske-Underwood-Gilliland method Given a multicomponent distillation problem: a) Identify light and heavy key components b) Guess splits of the non-key components and compositions of the distillate and bottoms products c) Calculate  d) Use Fenske equation to find Nmin e) Calculate distribution of non key components f) Use Underwood method to find R Dm g) Use Gilliland correlation to find actual number of ideal stages   given operating reflux h) Use Kirkbride equation to locate the feed stage
Complete short cut design: example A mixture of 4% n-pentane, 40% n-hexane, 50% n-heptane and 6%  n-octane is distilled at 1 atm. The goal is to recover 98%of hexane and  1% of heptane in the distillate. The feed is boiling liquid. a) Find minimum number of stages and minimum reflux ratio b) Given operating reflux of 1.5 of the minimum find the operating number of ideal stages  0.23 6 0.06 Octane 100 0.56 50 0.5 Heptane 1.39 40 0.4 Hexane 3.62 4 0.04 Pentane Ki x B Moles in B x D Moles in D F x F x F
Stage efficiency analysis Step 1:  Thermodynamics data and methods to predict equilibrium   phase compositions Step 2:  Design of equilibrium stage separation Step 3:  Develop an actual design by applying the stage efficiency analysis    to equilibrium stage design
Stage efficiency analysis In general the overall efficiency will depend: 1) Geometry and design of contact stages 2) Flow rates and patterns on the tray 3) Composition and properties of vapour and  liquid streams
Stage efficiency analysis Local efficiency Actual separation Separation that  would have been  achieved on an  ideal tray  What are the sources of inefficiencies? For this we need to look at what actually happens on the tray  Point efficiency L in ,x in L out ,x out V out ,y out V in ,y in
Stage efficiency analysis Depending on the location on the tray  the point efficiency will vary  high concentration gradients low concentration gradients stagnation points The overall plate efficiency can  be characterized by the Murphree plate efficiency: When both the vapour and liquid phases are perfectly mixed the plate efficiency is equal to the point  efficiency
Stage efficiency analysis In general a number of  empirical correlations exist  that relate point and plate  efficiencies Peclet number length of liquid  flow path eddy diffusivity residence time of liquid on the tray
Stage efficiency analysis: O’Connell  (1946)
Stage efficiency analysis: Van Winkle (1972)
Stage efficiency analysis - AICHE method - Fair-Chan Chan, H., J.R. Fair,” Prediction of Point Efficiencies for Sieve Trays, 1. Binary Systems”, Ind Eng. Chem. .Process Des. Dev.,  23 , 814-819 (1984) Chan, H., J.R. Fair, ,” Prediction of Point Efficiencies for Sieve Trays, 1. Multi-component Systems”, Ind Eng. Chem. .Process Des. Dev.,  23 , 820-827 (1984)
Stage efficiency analysis In addition we need to take in account effects of  entrainment Entrained liquid droplets Dry Murphree efficiency can be corrected for the entrainment effects by Colburn equation: entrainment fraction = entrained liquid/gross liquid flow
Stage efficiency analysis
Stage efficiency analysis Finally the overall efficiency of the process defined as
Types of trays 1. Sieve plates 2. Bubble-cap plates  3. Valve plates
Types of trays

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Assignment 1

  • 1.
  • 2.
  • 3.
  • 4.
  • 5. Fenske equation for multicomponent distillations Assumption : relative volatilities of components remain constant throughout the column LK – light component HK – heavy component
  • 6. Fenske equation for multicomponent distillations Choices for relative volatility: D B T 1) Relative volatility at saturated feed condition 2) Geometric mean relative volatility why geometric mean?
  • 7. Non key component distribution from the Fenske equation Convince yourself and derive for
  • 8.
  • 9. * Relative volatility of each component has to be the same for each invariant zone * Constant molar overflow * α i =K i /K ref (Usually K ref =K HK ) The operating line equations for each section of the column become: Underwood method rectifying section stripping section Minimum reflux ratio analysis
  • 10. rectifying section stripping section In the invariant zones: Underwood method Minimum reflux ratio analysis
  • 11. We are looking for a condition where this is correct. In general there are multiple solutions But consider the following Underwood method Minimum reflux ratio analysis
  • 12. In other words: Under Underwood conditions: A= Ā, Underwood method Minimum reflux ratio analysis
  • 13. Minimum reflux ratio analysis: Underwood equations For a given q, and the feed composition we are looking for A satisfies this equation (usually A is between α LK and α HK . Once A is found, we can calculate the minimum reflux ratio
  • 14. Gilliland correlation: Number of ideal plates at the operating reflux
  • 15. Kirkbride equation: Feed stage location
  • 16. Complete short cut design: Fenske-Underwood-Gilliland method Given a multicomponent distillation problem: a) Identify light and heavy key components b) Guess splits of the non-key components and compositions of the distillate and bottoms products c) Calculate d) Use Fenske equation to find Nmin e) Calculate distribution of non key components f) Use Underwood method to find R Dm g) Use Gilliland correlation to find actual number of ideal stages given operating reflux h) Use Kirkbride equation to locate the feed stage
  • 17. Complete short cut design: example A mixture of 4% n-pentane, 40% n-hexane, 50% n-heptane and 6% n-octane is distilled at 1 atm. The goal is to recover 98%of hexane and 1% of heptane in the distillate. The feed is boiling liquid. a) Find minimum number of stages and minimum reflux ratio b) Given operating reflux of 1.5 of the minimum find the operating number of ideal stages 0.23 6 0.06 Octane 100 0.56 50 0.5 Heptane 1.39 40 0.4 Hexane 3.62 4 0.04 Pentane Ki x B Moles in B x D Moles in D F x F x F
  • 18. Stage efficiency analysis Step 1: Thermodynamics data and methods to predict equilibrium phase compositions Step 2: Design of equilibrium stage separation Step 3: Develop an actual design by applying the stage efficiency analysis to equilibrium stage design
  • 19. Stage efficiency analysis In general the overall efficiency will depend: 1) Geometry and design of contact stages 2) Flow rates and patterns on the tray 3) Composition and properties of vapour and liquid streams
  • 20. Stage efficiency analysis Local efficiency Actual separation Separation that would have been achieved on an ideal tray What are the sources of inefficiencies? For this we need to look at what actually happens on the tray Point efficiency L in ,x in L out ,x out V out ,y out V in ,y in
  • 21. Stage efficiency analysis Depending on the location on the tray the point efficiency will vary high concentration gradients low concentration gradients stagnation points The overall plate efficiency can be characterized by the Murphree plate efficiency: When both the vapour and liquid phases are perfectly mixed the plate efficiency is equal to the point efficiency
  • 22. Stage efficiency analysis In general a number of empirical correlations exist that relate point and plate efficiencies Peclet number length of liquid flow path eddy diffusivity residence time of liquid on the tray
  • 23. Stage efficiency analysis: O’Connell (1946)
  • 24. Stage efficiency analysis: Van Winkle (1972)
  • 25. Stage efficiency analysis - AICHE method - Fair-Chan Chan, H., J.R. Fair,” Prediction of Point Efficiencies for Sieve Trays, 1. Binary Systems”, Ind Eng. Chem. .Process Des. Dev., 23 , 814-819 (1984) Chan, H., J.R. Fair, ,” Prediction of Point Efficiencies for Sieve Trays, 1. Multi-component Systems”, Ind Eng. Chem. .Process Des. Dev., 23 , 820-827 (1984)
  • 26. Stage efficiency analysis In addition we need to take in account effects of entrainment Entrained liquid droplets Dry Murphree efficiency can be corrected for the entrainment effects by Colburn equation: entrainment fraction = entrained liquid/gross liquid flow
  • 28. Stage efficiency analysis Finally the overall efficiency of the process defined as
  • 29. Types of trays 1. Sieve plates 2. Bubble-cap plates 3. Valve plates