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169 lines
5.5 KiB
Python
169 lines
5.5 KiB
Python
"""
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This file implements a psychrometric chart for air at 1 atm
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"""
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from CoolProp.HumidAirProp import HAProps
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from CoolProp.Plots.Plots import InlineLabel
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import matplotlib, numpy, textwrap
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import_template=(
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"""
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import numpy, matplotlib
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from CoolProp.HumidAirProp import HAProps
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from CoolProp.Plots.Plots import InlineLabel
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p = 101.325
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Tdb = numpy.linspace(-10,60,100)+273.15
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#Make the figure and the axes
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fig=matplotlib.pyplot.figure(figsize=(10,8))
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ax=fig.add_axes((0.1,0.1,0.85,0.85))
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"""
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)
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closure_template=(
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"""
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matplotlib.pyplot.show()
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"""
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)
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Tdb = numpy.linspace(-10,60,100)+273.15
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p = 101.325
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class PlotFormatting(object):
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def plot(self,ax):
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ax.set_xlim(Tdb[0]-273.15,Tdb[-1]-273.15)
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ax.set_ylim(0,0.03)
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ax.set_xlabel(r"Dry bulb temperature [$^{\circ}$C]")
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ax.set_ylabel(r"Humidity ratio ($m_{water}/m_{dry\ air}$) [-]")
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def __str__(self):
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return textwrap.dedent("""
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ax.set_xlim(Tdb[0]-273.15,Tdb[-1]-273.15)
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ax.set_ylim(0,0.03)
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ax.set_xlabel(r"Dry bulb temperature [$^{\circ}$C]")
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ax.set_ylabel(r"Humidity ratio ($m_{water}/m_{dry\ air}$) [-]")
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""")
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class SaturationLine(object):
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def plot(self,ax):
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w = [HAProps('W','T',T,'P',p,'R',1.0) for T in Tdb]
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ax.plot(Tdb-273.15,w,lw=2)
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def __str__(self):
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return textwrap.dedent("""
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# Saturation line
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w = [HAProps('W','T',T,'P',p,'R',1.0) for T in Tdb]
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ax.plot(Tdb-273.15,w,lw=2)
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"""
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)
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class HumidityLabels(object):
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def __init__(self,RH_values,h):
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self.RH_values = RH_values
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self.h = h
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def plot(self,ax):
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xv = Tdb #[K]
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for RH in self.RH_values:
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yv = [HAProps('W','T',T,'P',p,'R',RH) for T in Tdb]
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y = HAProps('W','P',p,'H',self.h,'R',RH)
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T_K,w,rot = InlineLabel(xv, yv, y=y, axis = ax)
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string = r'$\phi$='+str(RH*100)+'%'
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#Make a temporary label to get its bounding box
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bbox_opts = dict(boxstyle='square,pad=0.0',fc='white',ec='None',alpha = 0.5)
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ax.text(T_K-273.15,w,string,rotation = rot,ha ='center',va='center',bbox=bbox_opts)
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def __str__(self):
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return textwrap.dedent("""
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xv = Tdb #[K]
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for RH in {RHValues:s}:
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yv = [HAProps('W','T',T,'P',p,'R',RH) for T in Tdb]
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y = HAProps('W','P',p,'H',{h:f},'R',RH)
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T_K,w,rot = InlineLabel(xv, yv, y=y, axis = ax)
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string = r'$\phi$='+str(RH*100)+'%'
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bbox_opts = dict(boxstyle='square,pad=0.0',fc='white',ec='None',alpha = 0.5)
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ax.text(T_K-273.15,w,string,rotation = rot,ha ='center',va='center',bbox=bbox_opts)
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""".format(h=self.h, RHValues=str(self.RH_values))
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)
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class HumidityLines(object):
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def __init__(self,RH_values):
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self.RH_values = RH_values
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def plot(self,ax):
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for RH in self.RH_values:
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w = [HAProps('W','T',T,'P',p,'R',RH) for T in Tdb]
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ax.plot(Tdb-273.15,w,'r',lw=1)
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def __str__(self):
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return textwrap.dedent("""
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# Humidity lines
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RHValues = {RHValues:s}
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for RH in RHValues:
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w = [HAProps('W','T',T,'P',p,'R',RH) for T in Tdb]
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ax.plot(Tdb-273.15,w,'r',lw=1)
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""".format(RHValues=str(self.RH_values))
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)
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class EnthalpyLines(object):
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def __init__(self,H_values):
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self.H_values = H_values
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def plot(self,ax):
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for H in self.H_values:
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#Line goes from saturation to zero humidity ratio for this enthalpy
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T1 = HAProps('T','H',H,'P',p,'R',1.0)-273.15
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T0 = HAProps('T','H',H,'P',p,'R',0.0)-273.15
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w1 = HAProps('W','H',H,'P',p,'R',1.0)
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w0 = HAProps('W','H',H,'P',p,'R',0.0)
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ax.plot(numpy.r_[T1,T0],numpy.r_[w1,w0],'r',lw=1)
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def __str__(self):
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return textwrap.dedent("""
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# Humidity lines
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for H in {HValues:s}:
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#Line goes from saturation to zero humidity ratio for this enthalpy
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T1 = HAProps('T','H',H,'P',p,'R',1.0)-273.15
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T0 = HAProps('T','H',H,'P',p,'R',0.0)-273.15
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w1 = HAProps('W','H',H,'P',p,'R',1.0)
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w0 = HAProps('W','H',H,'P',p,'R',0.0)
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ax.plot(numpy.r_[T1,T0],numpy.r_[w1,w0],'r',lw=1)
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""".format(HValues=str(self.H_values))
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)
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if __name__=='__main__':
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fig=matplotlib.pyplot.figure(figsize=(10,8))
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ax=fig.add_axes((0.1,0.1,0.85,0.85))
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ax.set_xlim(Tdb[0]-273.15,Tdb[-1]-273.15)
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ax.set_ylim(0,0.03)
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ax.set_xlabel(r"Dry bulb temperature [$^{\circ}$C]")
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ax.set_ylabel(r"Humidity ratio ($m_{water}/m_{dry\ air}$) [-]")
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SL = SaturationLine()
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SL.plot(ax)
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RHL = HumidityLines([0.05,0.1,0.15,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9])
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RHL.plot(ax)
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RHLabels = HumidityLabels([0.05,0.1,0.15,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9], h=65)
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RHLabels.plot(ax)
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HL = EnthalpyLines(range(-20,100,10))
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HL.plot(ax)
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PF = PlotFormatting()
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PF.plot(ax)
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matplotlib.pyplot.show()
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fp = open('PsychScript.py','w')
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for chunk in [import_template,SL,RHL,HL,PF,RHLabels,closure_template]:
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fp.write(str(chunk))
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fp.close()
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execfile('PsychScript.py')
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