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c993983 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 | from matplotlib import pyplot as plt
class HPIPlot():
def __init__(self, process_designation, t_sink_out, pyPinch, ev_wp, ko_wp, COPWerte, COPT, gcc_draw, _temperatures, cop_regression):
self.process_designation = process_designation
self.grand_composite_curve = gcc_draw
self.ko_wp = ko_wp
self.ev_wp = ev_wp
self.COPWerte = COPWerte
self.cop_t = COPT
self.t_sink_out = t_sink_out
self.pyPinch = pyPinch
self._temperatures = _temperatures
self.cop_regression = cop_regression
def draw_cop_ko(self):
self.x = []
self.y = []
fig1 = plt.figure()
for i in self.ko_wp[::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 draw_grand_composite_curve(self):
grand_composite_curve = self.grand_composite_curve
Tempplus = 0
self.heat_cascade = self.pyPinch.heat_cascade
plt.close('all')
fig = plt.figure()
if self.heat_cascade[0]['deltaH'] > 0:
plt.plot([grand_composite_curve['H'][0],grand_composite_curve['H'][1]], [self.grand_composite_curve['T'][0],self.grand_composite_curve['T'][1]], 'tab:red')
plt.plot([grand_composite_curve['H'][0],grand_composite_curve['H'][1]], [self.grand_composite_curve['T'][0],self.grand_composite_curve['T'][1]], 'ro')
elif self.heat_cascade[0]['deltaH'] < 0:
plt.plot([grand_composite_curve['H'][0],grand_composite_curve['H'][1]], [self.grand_composite_curve['T'][0],self.grand_composite_curve['T'][1]], 'tab:blue')
plt.plot([grand_composite_curve['H'][0],grand_composite_curve['H'][1]], [grand_composite_curve['T'][0],grand_composite_curve['T'][1]], 'bo')
for i in range(1, len(self._temperatures)-1):
if self.heat_cascade[i]['deltaH'] > 0:
plt.plot([grand_composite_curve['H'][i],grand_composite_curve['H'][i+1]], [grand_composite_curve['T'][i],grand_composite_curve['T'][i+1]], 'tab:red')
plt.plot([grand_composite_curve['H'][i],grand_composite_curve['H'][i+1]], [grand_composite_curve['T'][i],grand_composite_curve['T'][i+1]], 'ro')
elif self.heat_cascade[i]['deltaH'] < 0:
plt.plot([grand_composite_curve['H'][i],grand_composite_curve['H'][i+1]], [grand_composite_curve['T'][i],grand_composite_curve['T'][i+1]], 'tab:blue')
plt.plot([grand_composite_curve['H'][i],grand_composite_curve['H'][i+1]], [grand_composite_curve['T'][i],grand_composite_curve['T'][i+1]], 'bo')
elif self.heat_cascade[i]['deltaH'] == 0 and grand_composite_curve['H'][i]!=0:
plt.plot([grand_composite_curve['H'][i],grand_composite_curve['H'][i+1]], [grand_composite_curve['T'][i],grand_composite_curve['T'][i+1]], 'tab:blue')
plt.plot([grand_composite_curve['H'][i],grand_composite_curve['H'][i+1]], [grand_composite_curve['T'][i],grand_composite_curve['T'][i+1]], 'bo')
plt.plot(self.ev_wp[-1],self.cop_t[-1],'g^')
plt.plot(self.ko_wp[-1],self.t_sink_out,'g^')
plt.text(0.94*self.ko_wp[-1],0.93*self.t_sink_out,round(self.COPWerte[-1],2))
plt.grid(True)
name = self.process_designation
plt.suptitle('Großverbundkurve {} °C ({})'.format(round(self.t_sink_out,1),name))#plt.title('Grand Composite Curve')
plt.title(self.cop_regression)
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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