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CoolProp/dev/incompressible_liquids/CPIncomp/DigitalFluids.py
jowr b8badfba2c fits, fits, fits
2014-08-01 15:13:48 +02:00

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"""
Some fluids that are part of CoolProp 4 or another
software and that have to be reimplemented for
CoolProp 5.
The most famous one is probably the aqueous Lithium
bromide solution. This one is going to be transferred
from the equations from the publication to the standard
parameter form.
"""
from __future__ import division, print_function
import numpy as np
from CPIncomp.DataObjects import DigitalData, PureData
class LiBrData(DigitalData):
"""
Lithium Bromide solution from CoolProp 4
Source: Patek et al.
"""
def __init__(self):
DigitalData.__init__(self)
import CoolProp.CoolProp as CP
self.name = "LiBr"
self.description = "Lithium-Bromide solution from Patek2006"
self.reference = "Patek2006"
self.Tmin = 273.00
self.Tmax = 500.00
self.xmax = 0.75
self.xmin = 0.00
self.xid = self.ifrac_mass
self.TminPsat = self.Tmin
self.temperature.data = self.getTrange()
self.concentration.data = self.getxrange()
# data = [self.density.data,self.specific_heat.data,self.saturation_pressure.data]
# keys = ["D", "C", "Psat"]
#
# import os
# for i in range(len(keys)):
# def func(T,x):
# return CP.PropsSI(keys[i],'T',T,'P',1e8,self.name+"-{0:.4f}%".format(x*100.0))
# #if os.path.isfile(self.getFile(key)): os.remove(self.getFile(key))
# data[i] = self.getArray(func,keys[i])
key = 'D'
def funcD(T,x):
return CP.PropsSI(key,'T',T,'P',1e8,self.name+"-{0:.4f}%".format(x*100.0))
self.density.xData,self.density.yData,self.density.data = self.getArray(dataID=key, func=funcD, x_in=self.temperature.data, y_in=self.concentration.data,DEBUG=self.density.DEBUG)
self.density.source = self.density.SOURCE_EQUATION
key = 'C'
def funcC(T,x):
return CP.PropsSI(key,'T',T,'P',1e8,self.name+"-{0:.4f}%".format(x*100.0))
self.specific_heat.xData,self.specific_heat.yData,self.specific_heat.data = self.getArray(dataID=key, 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
key = 'Psat'
def funcP(T,x):
return CP.PropsSI(key,'T',T,'P',1e8,self.name+"-{0:.4f}%".format(x*100.0))
self.saturation_pressure.xData,self.saturation_pressure.yData,self.saturation_pressure.data = self.getArray(dataID=key, 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 HyCool20(PureData,DigitalData):
def __init__(self):
DigitalData.__init__(self)
PureData.__init__(self)
self.name = "HY20"
self.description = "HYCOOL 20, Potassium formate"
self.reference = "Hydro Chemicals"
self.Tmax = 50 + 273.15
self.Tmin = -20 + 273.15
self.TminPsat = self.Tmax
self.Tbase = 0.00 + 273.15
self.temperature.data = self.getTrange()
self.density.source = self.density.SOURCE_COEFFS
self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
self.density.coeffs = np.array([[1202.2],[-0.42918]])
self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
self.specific_heat.coeffs = np.array([[2.955],[0.0023]])*1e3
key = 'Cond'
def funcCond(T,x):
T = (T-self.Tbase)
if T <= 20: return 0.001978*T+0.5172
else: return 0.001005*T+0.5368
self.conductivity.xData,self.conductivity.yData,self.conductivity.data = self.getArray(dataID=key,func=funcCond,x_in=self.temperature.data,y_in=self.concentration.data,DEBUG=self.conductivity.DEBUG)
self.conductivity.source = self.conductivity.SOURCE_EQUATION
funcCond = None
key = 'Mu'
def funcMu(T,x):
T = (T-self.Tbase)
if T <= 20: return 0.07190*np.exp(524.75/(T+142.05))
else: return T*(0.0005524*T - 0.06281)+2.8536
self.viscosity.xData,self.viscosity.yData,self.viscosity.data = self.getArray(dataID=key,func=funcMu,x_in=self.temperature.data,y_in=self.concentration.data,DEBUG=self.viscosity.DEBUG)
self.viscosity.source = self.viscosity.SOURCE_EQUATION
funcMu = None
class HyCool30(PureData,DigitalData):
def __init__(self):
DigitalData.__init__(self)
PureData.__init__(self)
self.name = "HY30"
self.description = "HYCOOL 30, Potassium formate"
self.reference = "Hydro Chemicals"
self.Tmax = 50 + 273.15
self.Tmin = -30 + 273.15
self.TminPsat = self.Tmax
self.Tbase = 0.00 + 273.15
self.temperature.data = self.getTrange()
self.density.source = self.density.SOURCE_COEFFS
self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
self.density.coeffs = np.array([[1257.5],[-0.475350]])
self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
self.specific_heat.coeffs = np.array([[2.783],[0.0023]])*1e3
key = 'Cond'
def funcCond(T,x):
T = (T-self.Tbase)
if T <= 20: return 0.001840*T+0.4980
else: return 0.001000*T+0.5140
self.conductivity.xData,self.conductivity.yData,self.conductivity.data = self.getArray(dataID=key,func=funcCond,x_in=self.temperature.data,y_in=self.concentration.data,DEBUG=self.conductivity.DEBUG)
self.conductivity.source = self.conductivity.SOURCE_EQUATION
funcCond = None
key = 'Mu'
def funcMu(T,x):
T = (T-self.Tbase)
if T <= 20: return 0.11100*np.exp(408.17/(T+123.15))
else: return T*(0.000295*T - 0.0441)+2.6836
self.viscosity.xData,self.viscosity.yData,self.viscosity.data = self.getArray(dataID=key,func=funcMu,x_in=self.temperature.data,y_in=self.concentration.data,DEBUG=self.viscosity.DEBUG)
self.viscosity.source = self.viscosity.SOURCE_EQUATION
funcMu = None
class HyCool40(PureData,DigitalData):
def __init__(self):
DigitalData.__init__(self)
PureData.__init__(self)
self.name = "HY40"
self.description = "HYCOOL 40, Potassium formate"
self.reference = "Hydro Chemicals"
self.Tmax = 20 + 273.15
self.Tmin = -40 + 273.15
self.TminPsat = self.Tmax
self.Tbase = 0.00 + 273.15
self.temperature.data = self.getTrange()
self.density.source = self.density.SOURCE_COEFFS
self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
self.density.coeffs = np.array([[1304.5],[-0.512290]])
self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
self.specific_heat.coeffs = np.array([[2.646],[0.0023]])*1e3
self.conductivity.source = self.conductivity.SOURCE_COEFFS
self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
self.conductivity.coeffs = np.array([[0.4826],[0.001730]])
key = 'Mu'
def funcMu(T,x):
T = (T-self.Tbase)
return 0.07830*np.exp(498.13/(T+130.25))
self.viscosity.xData,self.viscosity.yData,self.viscosity.data = self.getArray(dataID=key,func=funcMu,x_in=self.temperature.data,y_in=self.concentration.data,DEBUG=self.viscosity.DEBUG)
self.viscosity.source = self.viscosity.SOURCE_EQUATION
funcMu = None
class HyCool45(PureData,DigitalData):
def __init__(self):
DigitalData.__init__(self)
PureData.__init__(self)
self.name = "HY45"
self.description = "HYCOOL 45, Potassium formate"
self.reference = "Hydro Chemicals"
self.Tmax = 20 + 273.15
self.Tmin = -45 + 273.15
self.TminPsat = self.Tmax
self.Tbase = 0.00 + 273.15
self.temperature.data = self.getTrange()
self.density.source = self.density.SOURCE_COEFFS
self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
self.density.coeffs = np.array([[1328.7],[-0.530754]])
self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
self.specific_heat.coeffs = np.array([[2.578],[0.0023]])*1e3
self.conductivity.source = self.conductivity.SOURCE_COEFFS
self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
self.conductivity.coeffs = np.array([[0.4750],[0.001674]])
key = 'Mu'
def funcMu(T,x):
T = (T-self.Tbase)
return 0.08990*np.exp(479.09/(T+126.55))
self.viscosity.xData,self.viscosity.yData,self.viscosity.data = self.getArray(dataID=key,func=funcMu,x_in=self.temperature.data,y_in=self.concentration.data,DEBUG=self.viscosity.DEBUG)
self.viscosity.source = self.viscosity.SOURCE_EQUATION
funcMu = None
class HyCool50(PureData,DigitalData):
def __init__(self):
DigitalData.__init__(self)
PureData.__init__(self)
self.name = "HY50"
self.description = "HYCOOL 50, Potassium formate"
self.reference = "Hydro Chemicals"
self.Tmax = 20 + 273.15
self.Tmin = -50 + 273.15
self.TminPsat = self.Tmax
self.Tbase = 0.00 + 273.15
self.temperature.data = self.getTrange()
self.density.source = self.density.SOURCE_COEFFS
self.density.type = self.density.INCOMPRESSIBLE_POLYNOMIAL
self.density.coeffs = np.array([[1359.0],[-0.552300]])
self.specific_heat.source = self.specific_heat.SOURCE_COEFFS
self.specific_heat.type = self.specific_heat.INCOMPRESSIBLE_POLYNOMIAL
self.specific_heat.coeffs = np.array([[2.498],[0.0023]])*1e3
self.conductivity.source = self.conductivity.SOURCE_COEFFS
self.conductivity.type = self.conductivity.INCOMPRESSIBLE_POLYNOMIAL
self.conductivity.coeffs = np.array([[0.4660],[0.001610]])
key = 'Mu'
def funcMu(T,x):
T = (T-self.Tbase)
res = 0.0491*np.exp(581.12/(T+129.05))
if T > -10: return res + 0.2
else: return res
self.viscosity.xData,self.viscosity.yData,self.viscosity.data = self.getArray(dataID=key,func=funcMu,x_in=self.temperature.data,y_in=self.concentration.data,DEBUG=self.viscosity.DEBUG)
self.viscosity.source = self.viscosity.SOURCE_EQUATION
funcMu = None
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