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from matplotlib import pyplot as plt
class HPIPlot():
def __init__(self, processdesignation, Tsinkout, pyPinch, EvWP, KoWP, COPWerte, COPT, GCCdraw, _temperatures, COPRegression):
self.processdesignation = processdesignation
self.grandCompositeCurve = GCCdraw
self.KoWP = KoWP
self.EvWP = EvWP
self.COPWerte = COPWerte
self.COPT = COPT
self.Tsinkout = Tsinkout
self.pyPinch = pyPinch
self._temperatures = _temperatures
self.COPRegression = COPRegression
def drawCOPKo(self):
self.x = []
self.y = []
fig1 = plt.figure()
for i in self.KoWP[::3]:
self.x.append(i)
for i in self.COPWerte[::3]:
self.y.append(i)
plt.plot(self.x,self.y)
plt.grid(True)
plt.title('COP gegen Qpunkt Ko')#plt.title('Grand Composite Curve')
plt.xlabel('Qpunkt Ko [kW]')#plt.xlabel('Net Enthalpy Change ∆H (kW)')
plt.ylabel('COP [-]')#plt.ylabel('Shifted Temperature S (degC)')
def drawGrandCompositeCurve(self):
grandCompositeCurve = self.grandCompositeCurve
Tempplus = 0
self.heatCascade = self.pyPinch.heatCascade
plt.close('all')
fig = plt.figure()
if self.heatCascade[0]['deltaH'] > 0:
plt.plot([grandCompositeCurve['H'][0],grandCompositeCurve['H'][1]], [self.grandCompositeCurve['T'][0],self.grandCompositeCurve['T'][1]], 'tab:red')
plt.plot([grandCompositeCurve['H'][0],grandCompositeCurve['H'][1]], [self.grandCompositeCurve['T'][0],self.grandCompositeCurve['T'][1]], 'ro')
elif self.heatCascade[0]['deltaH'] < 0:
plt.plot([grandCompositeCurve['H'][0],grandCompositeCurve['H'][1]], [self.grandCompositeCurve['T'][0],self.grandCompositeCurve['T'][1]], 'tab:blue')
plt.plot([grandCompositeCurve['H'][0],grandCompositeCurve['H'][1]], [grandCompositeCurve['T'][0],grandCompositeCurve['T'][1]], 'bo')
for i in range(1, len(self._temperatures)-1):
if self.heatCascade[i]['deltaH'] > 0:
plt.plot([grandCompositeCurve['H'][i],grandCompositeCurve['H'][i+1]], [grandCompositeCurve['T'][i],grandCompositeCurve['T'][i+1]], 'tab:red')
plt.plot([grandCompositeCurve['H'][i],grandCompositeCurve['H'][i+1]], [grandCompositeCurve['T'][i],grandCompositeCurve['T'][i+1]], 'ro')
elif self.heatCascade[i]['deltaH'] < 0:
plt.plot([grandCompositeCurve['H'][i],grandCompositeCurve['H'][i+1]], [grandCompositeCurve['T'][i],grandCompositeCurve['T'][i+1]], 'tab:blue')
plt.plot([grandCompositeCurve['H'][i],grandCompositeCurve['H'][i+1]], [grandCompositeCurve['T'][i],grandCompositeCurve['T'][i+1]], 'bo')
elif self.heatCascade[i]['deltaH'] == 0 and grandCompositeCurve['H'][i]!=0:
plt.plot([grandCompositeCurve['H'][i],grandCompositeCurve['H'][i+1]], [grandCompositeCurve['T'][i],grandCompositeCurve['T'][i+1]], 'tab:blue')
plt.plot([grandCompositeCurve['H'][i],grandCompositeCurve['H'][i+1]], [grandCompositeCurve['T'][i],grandCompositeCurve['T'][i+1]], 'bo')
plt.plot(self.EvWP[-1],self.COPT[-1],'g^')
plt.plot(self.KoWP[-1],self.Tsinkout,'g^')
plt.text(0.94*self.KoWP[-1],0.93*self.Tsinkout,round(self.COPWerte[-1],2))
plt.grid(True)
name = self.processdesignation
plt.suptitle('Großverbundkurve {} °C ({})'.format(round(self.Tsinkout,1),name))#plt.title('Grand Composite Curve')
plt.title(self.COPRegression)
plt.xlabel('Nettoenthalpiestromänderung ∆H in kW')#plt.xlabel('Net Enthalpy Change ∆H (kW)')
plt.ylabel('Verschobene Temperatur in °C')#plt.ylabel('Shifted Temperature S (degC)')
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