PonchonSavarit.jl

A toolbox for the Ponchón-Savarit method for Julia
Author aumpierre-unb
Github
Popularity
1 Star
Updated Last
4 Months Ago
Started In
October 2022

PonchonSavarit.jl

DOI License: MIT version pkgeval

Installing and Loading PonchonSavarit

PonchonSavarit can be installed and loaded either from the JuliaHub repository (last released version) or from the maintainer's repository.

Last Released Version

The last version of PonchonSavarit can be installed from JuliaHub repository:

using Pkg
Pkg.add("PonchonSavarit")
using PonchonSavarit

If PonchonSavarit is already installed, it can be updated:

using Pkg
Pkg.update("PonchonSavarit")
using PonchonSavarit

Pre-Release (Under Construction) Version

The pre-release (under construction) version of PonchonSavarit can be installed from the maintainer's repository.

using Pkg
Pkg.add(path="https://github.com/aumpierre-unb/PonchonSavarit.jl")
using PonchonSavarit

Citation of PonchonSavarit

You can cite all versions (both released and pre-released), by using 10.5281/zenodo.7218007. This DOI represents all versions, and will always resolve to the latest one.

The PonchonSavarit Module for Julia

PonchonSavarit provides the following functions:

  • stages
  • refmin
  • qR2S
  • qS2R
  • RS2q

stages

stages computes the number of theoretical stages of a distillation column using the Ponchón-Savarit method from the top to the bottom of the column given a x-h-y-H matrix of the liquid and the vapor fractions at equilibrium and their enthalpies, the vector of the fractions of the products and two parameters among the feed quality, the reflux ratio at the top of the column and the reflux ratio at the bottom of the column.

By default, fig = true, stages plots a schematic diagram of the solution. If fig = false is given, no plot is shown.

Syntax:

stages(data::Union{Matrix{Float64},Function},z::Vector{Float64};
  q::Number=NaN,R::Number=NaN,S::Number=NaN,fig::Bool=true)

Examples:

Compute the number of theoretical stages of a distillation column for acetone and methanol from the bottom to the top of the column given a matrix that relates the liquid and the vapor fractions and their enthalpies at equilibrium, the composition of the distillate is 93 %, the composition of the feed is 41 %, the composition of the bottoms is 7 %, the feed is a saturated liquid and the reflux ratio at the top of the column is 55 % higher that the minimum reflux ratio, and plot a schematic diagram of the solution:

data=[2.5e-4 3.235 1.675e-3 20.720; # enthalpy in kcal/mol
      0.05   2.666 0.267    20.520;
      0.1    2.527 0.418    20.340;
      0.15   2.459 0.517    20.160;
      0.2    2.422 0.579    20.000;
      0.3    2.384 0.665    19.640;
      0.4    2.358 0.729    19.310;
      0.5    2.338 0.779    18.970;
      0.6    2.320 0.825    18.650;
      0.7    2.302 0.87     18.310;
      0.8    2.284 0.915    17.980;
      0.9    2.266 0.958    17.680;
      1.     2.250 1.       17.390];
x=[0.93;0.41;0.07];
r,s=refmin(data,x)
N=stages(data,x,q=1,R=1.55*r)

Compute the number of theoretical stages of a distillation column for oxygen and nitrogen from the bottom to the top of the column given a matrix that relates the liquid and the vapor fractions and their enthalpies at equilibrium, the composition of the distillate is 88 %, the composition of the feed is 44 %, the composition of the bottoms is 8 %, the feed quality is 55 % and the reflux ratio at the bottom of the column is 46 % higher that the minimum reflux ratio and plot a schematic diagram of the solution:

data=[0.    0.420 0.    1.840; # enthalpy in kcal/mmol
      0.075 0.418 0.193 1.755;
      0.17  0.415 0.359 1.685;
      0.275 0.410 0.50  1.625;
      0.39  0.398 0.63  1.570;
      0.525 0.378 0.75  1.515;
      0.685 0.349 0.86  1.465;
      0.88  0.300 0.955 1.425;
      1.    0.263 1.    1.405];
x=[0.88;0.44;0.08];
r,s=refmin(data,x,q=0.55)
N=stages(data,x,q=0.55,S=1.46*s)

Compute the number of theoretical stages of a distillation column for oxygen and nitrogen from the bottom to the top of the column given a matrix that relates the liquid and the vapor fractions and their enthalpies at equilibrium, the composition of the distillate is 92 %, the composition of the feed is 59 %, the composition of the bottoms is 9 %, the reflux ratio at the bottom of the column is 1.9, the reflux ratio at the top of the column is 1.5:

data=[0.    0.420 0.    1.840; # enthalpy in kcal/mmol
      0.075 0.418 0.193 1.755;
      0.17  0.415 0.359 1.685;
      0.275 0.410 0.50  1.625;
      0.39  0.398 0.63  1.570;
      0.525 0.378 0.75  1.515;
      0.685 0.349 0.86  1.465;
      0.88  0.300 0.955 1.425;
      1.    0.263 1.    1.405];
x=[0.92;0.59;0.09];
q=RS2q(data,x,1.5,1.9)
N=stages(data,x,R=1.5,S=1.9,fig=false)

refmin

refmin computes the minimum value of the reflux ratio of a distillation column using the Ponchón-Savarit method given a x-h-y-H matrix of the liquid and the vapor fractions at equilibrium and their enthalpies, the vector of the fractions of the products and the feed, and the feed quality.

If q = 1, q is reset to q = 1 - 1e-10.

Syntax:

refmin(data::Union{Matrix{Float64},Function}, z::Vector{Float64}; q::Number=1)

Examples:

Compute the minimum values of the reflux ratios of a distillation column for acetone and methanol given a matrix that relates the liquid and the vapor fractions and their enthalpies at equilibrium, the composition of the distillate is 93 %, the composition of the feed is 41 %, the composition of the bottoms is 7 %, the feed is a saturated liquid:

data=[2.5e-4 3.235 1.675e-3 20.720; # enthalpy in kcal/mol
      0.05   2.666 0.267    20.520;
      0.1    2.527 0.418    20.340;
      0.15   2.459 0.517    20.160;
      0.2    2.422 0.579    20.000;
      0.3    2.384 0.665    19.640;
      0.4    2.358 0.729    19.310;
      0.5    2.338 0.779    18.970;
      0.6    2.320 0.825    18.650;
      0.7    2.302 0.87     18.310;
      0.8    2.284 0.915    17.980;
      0.9    2.266 0.958    17.680;
      1.     2.250 1.       17.390];
x=[0.93;0.41;0.07];
r,s=refmin(data,x)

Compute the minimum values of the reflux ratios of a distillation column for oxygen and nitrogen given a matrix that relates the liquid and the vapor fractions and their enthalpies at equilibrium, the composition of the distillate is 88 %, the composition of the feed is 44 %, the composition of the bottoms is 8 %, the feed quality is 55 %:

data=[0.    0.420 0.    1.840; # enthalpy in kcal/mmol
      0.075 0.418 0.193 1.755;
      0.17  0.415 0.359 1.685;
      0.275 0.410 0.50  1.625;
      0.39  0.398 0.63  1.570;
      0.525 0.378 0.75  1.515;
      0.685 0.349 0.86  1.465;
      0.88  0.300 0.955 1.425;
      1.    0.263 1.    1.405];
x=[0.88;0.44;0.08];
r,s=refmin(data,x,q=0.55)

qR2S

qR2S computes the reflux ratio at the bottom of a distillation column using the Ponchón-Savarit method given a x-h-y-H matrix of the liquid and the vapor fractions at equilibrium and their enthalpies, the vector of the fractions of the products and the feed, the feed quality, and the reflux ratio at the top of the column.

Syntax:

qR2S(data::Matrix{Float64}, z::Vector{Float64}, q::Number, R::Number)

Examples:

Compute the reflux ratio at the bottom of a distillation column for acetone and methanol given a matrix that relates the liquid and the vapor fractions and their enthalpies at equilibrium, the composition of the distillate is 93 %, the composition of the feed is 41 %, the composition of the bottoms is 7 %, the feed is a saturated liquid and the reflux ratio at the top of the column is 2:

data=[2.5e-4 3.235 1.675e-3 20.720; # enthalpy in kcal/mol
      0.05   2.666 0.267    20.520;
      0.1    2.527 0.418    20.340;
      0.15   2.459 0.517    20.160;
      0.2    2.422 0.579    20.000;
      0.3    2.384 0.665    19.640;
      0.4    2.358 0.729    19.310;
      0.5    2.338 0.779    18.970;
      0.6    2.320 0.825    18.650;
      0.7    2.302 0.87     18.310;
      0.8    2.284 0.915    17.980;
      0.9    2.266 0.958    17.680;
      1.     2.250 1.       17.390];
x=[0.93;0.41;0.07];
S=qR2S(data,x,1,2)

Compute the reflux ratio at the bottom of the column of a distillation column for oxygen and nitrogen given a matrix that relates the liquid and the vapor fractions and their enthalpies at equilibrium, the composition of the distillate is 88 %, the composition of the feed is 44 %, the composition of the bottoms is 8 %, the feed quality is 55 % and the reflux ratio at the top of the column is 2:

data=[0.    0.420 0.    1.840; # enthalpy in kcal/mmol
      0.075 0.418 0.193 1.755;
      0.17  0.415 0.359 1.685;
      0.275 0.410 0.50  1.625;
      0.39  0.398 0.63  1.570;
      0.525 0.378 0.75  1.515;
      0.685 0.349 0.86  1.465;
      0.88  0.300 0.955 1.425;
      1.    0.263 1.    1.405];
x=[0.88;0.44;0.08];
S=qR2S(data,x,0.55,2)

qS2R

qS2R computes the reflux ratio at the top of a distillation column using the Ponchón-Savarit method given a x-h-y-H matrix of the liquid and the vapor fractions at equilibrium and their enthalpies, the vector of the fractions of the products and the feed, the feed quality and the reflux ratio at the bottom of the column.

If feed is a saturated liquid, feed quality q = 1, feed quality is reset to q = 1 - 1e-10.

Syntax:

qS2R(data::Matrix{Float64}, z::Vector{Float64}, q::Number, R::Number)

Compute the reflux ratio at the top of a distillation column for acetone and methanol given a matrix that relates the liquid and the vapor fractions and their enthalpies at equilibrium, the composition of the distillate is 93 %, the composition of the feed is 41 %, the composition of the bottoms is 7 %, the feed is a saturated liquid and the reflux ratio at the bottom of the column is 1.7:

data=[2.5e-4 3.235 1.675e-3 20.720; # enthalpy in kcal/mol
      0.05   2.666 0.267    20.520;
      0.1    2.527 0.418    20.340;
      0.15   2.459 0.517    20.160;
      0.2    2.422 0.579    20.000;
      0.3    2.384 0.665    19.640;
      0.4    2.358 0.729    19.310;
      0.5    2.338 0.779    18.970;
      0.6    2.320 0.825    18.650;
      0.7    2.302 0.87     18.310;
      0.8    2.284 0.915    17.980;
      0.9    2.266 0.958    17.680;
      1.     2.250 1.       17.390];
x=[0.93;0.41;0.07];
R=qS2R(data,x,1,1.7)

Compute the reflux ratio at the top of a distillation column for oxygen and nitrogen given a matrix that relates the liquid and the vapor fractions and their enthalpies at equilibrium, the composition of the distillate is 88 %, the composition of the feed is 44 %, the composition of the bottoms is 8 %, the feed quality is 55 % and the reflux ratio at the bottom of the column is 1.3:

data=[0.    0.420 0.    1.840; # enthalpy in kcal/mmol
      0.075 0.418 0.193 1.755;
      0.17  0.415 0.359 1.685;
      0.275 0.410 0.50  1.625;
      0.39  0.398 0.63  1.570;
      0.525 0.378 0.75  1.515;
      0.685 0.349 0.86  1.465;
      0.88  0.300 0.955 1.425;
      1.    0.263 1.    1.405];
x=[0.88;0.44;0.08];
R=qS2R(data,x,0.55,1.3)

RS2q

RS2q computes the feed quality of a distillation column using the Ponchón-Savarit method given a x-h-y-H matrix of the liquid and the vapor fractions at equilibrium and their enthalpies, the vector of the fractions of the products and the feed and the reflux ratios at the top and at the bottom of the column.

Syntax:

RS2q(data::Matrix{Float64}, z::Vector{Float64}, q::Number, R::Number)

Examples:

Compute the feed quality of a distillation column for acetone and methanol given a matrix that relates the liquid and the vapor fractions and their enthalpies at equilibrium, the composition of the distillate is 93 %, the composition of the feed is 41 %, the composition of the bottoms is 7 %, the reflux ratio at the top of the column is 2 and the reflux ratio at the bottom of the column is 1.7:

data=[2.5e-4 3.235 1.675e-3 20.720; # enthalpy in kcal/mol
      0.05   2.666 0.267    20.520;
      0.1    2.527 0.418    20.340;
      0.15   2.459 0.517    20.160;
      0.2    2.422 0.579    20.000;
      0.3    2.384 0.665    19.640;
      0.4    2.358 0.729    19.310;
      0.5    2.338 0.779    18.970;
      0.6    2.320 0.825    18.650;
      0.7    2.302 0.87     18.310;
      0.8    2.284 0.915    17.980;
      0.9    2.266 0.958    17.680;
      1.     2.250 1.       17.390];
x=[0.93;0.41;0.07];
q=RS2q(data,x,2.1,1.7)

Compute the feed quality of a distillation column for oxygen and nitrogen given a matrix that relates the liquid and the vapor fractions and their enthalpies at equilibrium, the composition of the distillate is 88 %, the composition of the feed is 44 %, the composition of the bottoms is 8 %, the reflux ratio at the top of the column is 2 and the reflux ratio at the bottom of the column is 1.3:

data=[0.    0.420 0.    1.840; # enthalpy in kcal/mmol
      0.075 0.418 0.193 1.755;
      0.17  0.415 0.359 1.685;
      0.275 0.410 0.50  1.625;
      0.39  0.398 0.63  1.570;
      0.525 0.378 0.75  1.515;
      0.685 0.349 0.86  1.465;
      0.88  0.300 0.955 1.425;
      1.    0.263 1.    1.405];
x=[0.88;0.44;0.08];
q=RS2q(data,x,2,1.3)

See Also

McCabeThiele.jl, Psychrometrics.jl, InternalFluidFlow.jl.

Copyright © 2022 2023 Alexandre Umpierre

email: aumpierre@gmail.com

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