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CoolProp/dev/incompressible_liquids/CPIncomp/ExampleObjects.py

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from __future__ import division, print_function
import numpy as np
from CPIncomp.DataObjects import PureData, SolutionData, DigitalData,\
CoefficientData
class PureExample(PureData):
def __init__(self):
PureData.__init__(self)
self.name = "ExamplePure"
self.description = "Heat transfer fluid TherminolD12 by Solutia"
self.reference = "Solutia data sheet"
self.Tmax = 150 + 273.15
self.Tmin = 50 + 273.15
self.TminPsat = self.Tmax
self.density.source = self.density.SOURCE_DATA
self.specific_heat.source = self.specific_heat.SOURCE_DATA
self.conductivity.source = self.conductivity.SOURCE_DATA
self.viscosity.source = self.viscosity.SOURCE_DATA
self.saturation_pressure.source = self.saturation_pressure.SOURCE_DATA
self.temperature.data = np.array([ 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150])+273.15 # Kelvin
self.density.data = np.array([ 740, 733, 726, 717, 710, 702, 695, 687, 679, 670, 662]) # kg/m3
self.specific_heat.data = np.array([ 2235, 2280, 2326, 2361, 2406, 2445, 2485, 2528, 2571, 2607, 2645]) # J/kg-K
self.viscosity.data = np.array([0.804, 0.704, 0.623, 0.556, 0.498, 0.451, 0.410, 0.374, 0.346, 0.317, 0.289]) # Pa-s
self.conductivity.data = np.array([0.105, 0.104, 0.102, 0.100, 0.098, 0.096, 0.095, 0.093, 0.091, 0.089, 0.087]) # W/m-K
self.saturation_pressure.data = np.array([ 0.5, 0.9, 1.4, 2.3, 3.9, 6.0, 8.7, 12.4, 17.6, 24.4, 33.2]) # Pa
self.reshapeAll()
class SolutionExample(SolutionData):
def __init__(self):
SolutionData.__init__(self)
self.name = "ExampleSolution"
self.description = "Ethanol ice slurry"
self.reference = "SecCool software,Skovrup2013"
self.temperature.data = np.array([ -45 , -40 , -35 , -30 , -25 , -20 , -15 , -10])+273.15 # Kelvin
self.concentration.data = np.array([ 5 , 10 , 15 , 20 , 25 , 30 , 35 ])/100.0 # mass fraction
self.density.data = np.array([
[1064.0, 1054.6, 1045.3, 1036.3, 1027.4, 1018.6, 1010.0],
[1061.3, 1052.1, 1043.1, 1034.3, 1025.6, 1017.0, 1008.6],
[1057.6, 1048.8, 1040.1, 1031.5, 1023.1, 1014.8, 1006.7],
[1053.1, 1044.6, 1036.2, 1028.0, 1019.9, 1012.0, 1004.1],
[1047.5, 1039.4, 1031.5, 1023.7, 1016.0, 1008.4, 1000.9],
[1040.7, 1033.2, 1025.7, 1018.4, 1011.2, 1004.0, 997.0],
[1032.3, 1025.3, 1018.5, 1011.7, 1005.1, 998.5, 992.0],
[1021.5, 1015.3, 1009.2, 1003.1, 997.1, 991.2, 985.4]]) # kg/m3
self.specific_heat.data = np.copy(self.density.data)
self.density.source = self.density.SOURCE_DATA
self.specific_heat.source = self.specific_heat.SOURCE_DATA
self.Tmax = np.max(self.temperature.data)
self.Tmin = np.min(self.temperature.data)
self.xmax = np.max(self.concentration.data)
self.xmin = np.min(self.concentration.data)
self.xid = self.ifrac_mass
self.TminPsat = self.Tmax
class DigitalExample(DigitalData):
def __init__(self):
DigitalData.__init__(self)
self.name = "ExampleDigital"
self.description = "some fluid"
self.reference = "none"
self.Tmin = 273.00;
self.Tmax = 500.00;
self.xmax = 1.0
self.xmin = 0.0
self.xid = self.ifrac_mass
self.TminPsat = self.Tmin;
self.temperature.data = self.getTrange()
self.concentration.data = self.getxrange()
def funcRho(T,x):
return T + x*100.0 + T*(x+0.5)
self.density.xData,self.density.yData,self.density.data = self.getArray(dataID="D", func=funcRho, x_in=self.temperature.data, y_in=self.concentration.data,DEBUG=self.density.DEBUG)
self.density.source = self.density.SOURCE_EQUATION
def funcCp(T,x):
return T + x*50.0 + T*(x+0.6)
self.specific_heat.xData,self.specific_heat.yData,self.specific_heat.data = self.getArray(dataID="C", func=funcCp, x_in=self.temperature.data, y_in=self.concentration.data,DEBUG=self.specific_heat.DEBUG)
self.specific_heat.source = self.specific_heat.SOURCE_EQUATION
class DigitalExamplePure(PureData,DigitalData):
def __init__(self):
DigitalData.__init__(self)
PureData.__init__(self)
self.name = "ExampleDigitalPure"
self.description = "water at 100 bar"
self.reference = "none"
self.Tmin = 280.00;
self.Tmax = 500.00;
self.TminPsat = self.Tmin;
self.temperature.data = self.getTrange()
self.concentration.data = self.getxrange()
import CoolProp.CoolProp as CP
def funcD(T,x):
return CP.PropsSI('D','T',T,'P',1e7,'water')
def funcC(T,x):
return CP.PropsSI('C','T',T,'P',1e7,'water')
def funcL(T,x):
return CP.PropsSI('L','T',T,'P',1e7,'water')
def funcV(T,x):
return CP.PropsSI('V','T',T,'P',1e7,'water')
def funcP(T,x):
return CP.PropsSI('P','T',T,'Q',0.0,'water')
self.density.xData,self.density.yData,self.density.data = self.getArray(dataID="D", func=funcD, x_in=self.temperature.data, y_in=self.concentration.data,DEBUG=self.density.DEBUG)
self.density.source = self.density.SOURCE_EQUATION
self.specific_heat.xData,self.specific_heat.yData,self.specific_heat.data = self.getArray(dataID="C", func=funcC, x_in=self.temperature.data, y_in=self.concentration.data,DEBUG=self.specific_heat.DEBUG)
self.specific_heat.source = self.specific_heat.SOURCE_EQUATION
self.conductivity.xData,self.conductivity.yData,self.conductivity.data = self.getArray(dataID="L", func=funcL, x_in=self.temperature.data, y_in=self.concentration.data,DEBUG=self.conductivity.DEBUG)
self.conductivity.source = self.conductivity.SOURCE_EQUATION
self.viscosity.xData,self.viscosity.yData,self.viscosity.data = self.getArray(dataID="V", func=funcV, x_in=self.temperature.data, y_in=self.concentration.data,DEBUG=self.viscosity.DEBUG)
self.viscosity.source = self.viscosity.SOURCE_EQUATION
self.saturation_pressure.xData,self.saturation_pressure.yData,self.saturation_pressure.data = self.getArray(dataID="P", func=funcP, x_in=self.temperature.data, y_in=self.concentration.data,DEBUG=self.saturation_pressure.DEBUG)
self.saturation_pressure.source = self.saturation_pressure.SOURCE_EQUATION
class SecCoolExample(CoefficientData):
"""
Ethanol-Water mixture according to Melinder book
Source: SecCool Software
"""
def __init__(self):
CoefficientData.__init__(self)
self.name = "ExampleSecCool"
self.description = "Methanol solution"
#self.reference = "SecCool software"
self.Tmax = 20 + 273.15
self.Tmin = -50 + 273.15
self.xmax = 0.5
self.xmin = 0.0
self.xid = self.ifrac_mass
self.TminPsat = 20 + 273.15
self.Tbase = -4.48 + 273.15
self.xbase = 31.57 / 100.0
self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
self.density.coeffs = self.convertSecCoolArray(np.array([
960.24665800,
-1.2903839100,
-0.0161042520,
-0.0001969888,
1.131559E-05,
9.181999E-08,
-0.4020348270,
-0.0162463989,
0.0001623301,
4.367343E-06,
1.199000E-08,
-0.0025204776,
0.0001101514,
-2.320217E-07,
7.794999E-08,
9.937483E-06,
-1.346886E-06,
4.141999E-08]))
self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
self.specific_heat.coeffs = self.convertSecCoolArray(np.array([
3822.9712300,
-23.122409500,
0.0678775826,
0.0022413893,
-0.0003045332,
-4.758000E-06,
2.3501449500,
0.1788839410,
0.0006828000,
0.0002101166,
-9.812000E-06,
-0.0004724176,
-0.0003317949,
0.0001002032,
-5.306000E-06,
4.242194E-05,
2.347190E-05,
-1.894000E-06]))
self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
self.conductivity.coeffs = self.convertSecCoolArray(np.array([
0.4082066700,
-0.0039816870,
1.583368E-05,
-3.552049E-07,
-9.884176E-10,
4.460000E-10,
0.0006629321,
-2.686475E-05,
9.039150E-07,
-2.128257E-08,
-5.562000E-10,
3.685975E-07,
7.188416E-08,
-1.041773E-08,
2.278001E-10,
4.703395E-08,
7.612361E-11,
-2.734000E-10]))
self.viscosity.type = self.viscosity.INCOMPRESSIBLE_EXPPOLYNOMIAL
self.viscosity.coeffs = self.convertSecCoolArray(np.array([
1.4725525500,
0.0022218998,
-0.0004406139,
6.047984E-06,
-1.954730E-07,
-2.372000E-09,
-0.0411841566,
0.0001784479,
-3.564413E-06,
4.064671E-08,
1.915000E-08,
0.0002572862,
-9.226343E-07,
-2.178577E-08,
-9.529999E-10,
-1.699844E-06,
-1.023552E-07,
4.482000E-09]))
self.T_freeze.type = self.T_freeze.INCOMPRESSIBLE_POLYOFFSET
self.T_freeze.coeffs = np.array([
27.755555600/100.0,
-22.973221700+273.15,
-1.1040507200*100.0,
-0.0120762281*100.0*100.0,
-9.343458E-05*100.0*100.0*100.0])
self.density.source = self.density.SOURCE_COEFFS
self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
self.conductivity.source = self.conductivity.SOURCE_COEFFS
self.viscosity.source = self.viscosity.SOURCE_COEFFS
self.T_freeze.source = self.T_freeze.SOURCE_COEFFS
class MelinderExample(CoefficientData):
"""
Methanol-Water mixture according to Melinder book
Source: Book
"""
def __init__(self):
CoefficientData.__init__(self)
self.name = "ExampleMelinder"
self.description = "Methanol solution"
self.reference = "Melinder2010"
self.Tmax = 40 + 273.15
self.Tmin = -50 + 273.15
self.xmax = 0.6
self.xmin = 0.0
self.xid = self.ifrac_mass
self.TminPsat = self.Tmax
self.Tbase = 3.5359 + 273.15;
self.xbase = 30.5128 / 100.0
coeffs = np.array([
[-26.29 , 958.1 ,3887 , 0.4175 , 1.153 ],
[ -0.000002575 , -0.4151 , 7.201 , 0.0007271 , -0.03866 ],
[ -0.000006732 , -0.002261 , -0.08979 , 0.0000002823 , 0.0002779 ],
[ 0.000000163 , 0.0000002998 , -0.000439 , 0.000000009718 , -0.000001543 ],
[ -1.187 , -1.391 , -18.5 , -0.004421 , 0.005448 ],
[ -0.00001609 , -0.0151 , 0.2984 , -0.00002952 , 0.0001008 ],
[ 0.000000342 , 0.0001113 , -0.001865 , 0.00000007336 , -0.000002809 ],
[ 0.0000000005687, -0.0000003264 , -0.00001718 , 0.0000000004328 , 0.000000009811 ],
[ -0.01218 , -0.01105 , -0.03769 , 0.00002044 , -0.0005552 ],
[ 0.0000003865 , 0.0001828 , -0.01196 , 0.0000003413 , 0.000008384 ],
[ 0.000000008768 , -0.000001641 , 0.00009801 , -0.000000003665 , -0.00000003997 ],
[ -0.0000000002095, 0.0000000151 , 0.000000666 , -0.00000000002791 , -0.0000000003466 ],
[ -0.00006823 , -0.0001208 , -0.003776 , 0.0000002943 , 0.000003038 ],
[ 0.00000002137 , 0.000002992 , -0.00005611 , -0.0000000009646 , -0.00000007435 ],
[ -0.0000000004271, 0.000000001455, -0.0000007811, 0.00000000003174 , 0.0000000007442 ],
[ 0.0000001297 , 0.000004927 , -0.0001504 , -0.0000000008666 , 0.00000006669 ],
[ -0.0000000005407, -0.0000001325 , 0.000007373 , -0.0000000000004573, -0.0000000009105 ],
[ 0.00000002363 , -0.00000007727 , 0.000006433 , -0.0000000002033 , -0.0000000008472 ]
])
self.setMelinderMatrix(coeffs)
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