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import matplotlib.pyplot as plt
class PinchPlot:
def drawTemperatureInterval(self, _temperatures, streams):
fig, ax = plt.subplots()
plt.title('Shifted Temperature Interval Diagram')
plt.ylabel('Shifted Temperature S (degC)')
ax.set_xticklabels([])
xOffset = 50
for temperature in _temperatures:
plt.plot([0, xOffset * (streams.numberOf + 1)], [temperature, temperature], ':k', alpha=0.8)
arrow_width = streams.numberOf * 0.05
head_width = arrow_width * 15
head_length = _temperatures[0] * 0.02
i = 1
for stream in streams:
if stream['type'] == 'HOT':
plt.text(xOffset, stream['ss'], str(i), bbox=dict(boxstyle='round', alpha=1, fc='tab:red', ec="k"))
plt.arrow(xOffset, stream['ss'], 0, stream['st'] - stream['ss'], color='tab:red', ec='k', alpha=1,
length_includes_head=True, width=arrow_width, head_width=head_width, head_length=head_length)
else:
plt.text(xOffset, stream['ss'], str(i), bbox=dict(boxstyle='round', alpha=1, fc='tab:blue', ec="k"))
plt.arrow(xOffset, stream['ss'], 0, stream['st'] - stream['ss'], color='tab:blue', ec='k', alpha=1,
length_includes_head=True, width=arrow_width, head_width=head_width, head_length=head_length)
xOffset = xOffset + 50
i = i + 1
def drawProblemTable(self, problemTable, _temperatures):
fig, ax = plt.subplots(figsize=(6, 6))
ax.axis('tight')
ax.axis('off')
ax.set_title('Problem Table')
colLabels = ['$Interval: S_i - S_{i+1}$', '$\\Delta T (\\degree C)$', '$\\Delta CP (kW / \\degree C)$', '$\\Delta H (kW)$', '']
cellText = []
i = 1
for interval in problemTable:
cellRow = []
cellRow.extend(['{}: {} - {}'.format(i, _temperatures[i - 1], _temperatures[i]),
interval['deltaS'], interval['deltaCP'], interval['deltaH']])
if interval['deltaH'] > 0:
cellRow.append('Surplus')
elif interval['deltaH'] == 0:
cellRow.append('-')
else:
cellRow.append('Deficit')
cellText.append(cellRow)
i = i + 1
table = ax.table(cellText=cellText, colLabels=colLabels, loc='center')
table.auto_set_column_width([0, 1, 2, 3, 4])
table.scale(1.3, 1.3)
def drawHeatCascade(self, unfeasibleHeatCascade, heatCascade, hotUtility):
fig, axs = plt.subplots(1, 2, figsize=(10, 6))
axs[0].axis('auto')
axs[0].axis('off')
axs[1].axis('auto')
axs[1].axis('off')
axs[0].set_title('Unfeasible Heat Cascade')
axs[1].set_title('Feasible Heat Cascade')
cellText = []
cellText.append(['', '', 'Hot Utility: 0'])
cellText.append(['Interval', '$\\Delta H (kW)$', 'Exit H (total kW)'])
i = 1
for interval in unfeasibleHeatCascade:
cellText.append([str(i), interval['deltaH'], interval['exitH']])
i = i + 1
cellText.append(['', '', 'Cold Utility: {}'.format(unfeasibleHeatCascade[-1]['exitH'])])
table = axs[0].table(cellText=cellText, loc='center')
table.auto_set_column_width([0, 1, 2])
table.scale(1.3, 1.3)
cellText = []
cellText.append(['', '', 'Hot Utility: {}'.format(hotUtility)])
cellText.append(['Interval', '$\\Delta H (kW)$', 'Exit H (total kW)'])
i = 1
for interval in heatCascade:
cellText.append([str(i), interval['deltaH'], interval['exitH']])
i = i + 1
cellText.append(['', '', 'Cold Utility: {}'.format(heatCascade[-1]['exitH'])])
table = axs[1].table(cellText=cellText, loc='center')
table.auto_set_column_width([0, 1, 2])
table.scale(1.3, 1.3)
def drawShiftedCompositeDiagram(self, shiftedCompositeDiagram, coldUtility, _temperatures, hotUtility, pinchTemperature, processdesignation, localisation):
fig = plt.figure()
plt.plot(shiftedCompositeDiagram['hot']['H'], shiftedCompositeDiagram['hot']['T'], 'tab:red')
plt.plot(shiftedCompositeDiagram['cold']['H'], shiftedCompositeDiagram['cold']['T'], 'tab:blue')
plt.plot(shiftedCompositeDiagram['hot']['H'], shiftedCompositeDiagram['hot']['T'], 'ro')
plt.plot(shiftedCompositeDiagram['cold']['H'], shiftedCompositeDiagram['cold']['T'], 'bo')
maxColdH = max(shiftedCompositeDiagram['cold']['H'])
try:
pinchIndex = shiftedCompositeDiagram['cold']['T'].index(pinchTemperature)
pinchH = shiftedCompositeDiagram['cold']['H'][pinchIndex]
plt.plot([pinchH, pinchH], [_temperatures[0], _temperatures[-1]], ':')
except ValueError:
pass
a = plt.fill_between([coldUtility, shiftedCompositeDiagram['cold']['H'][0]-hotUtility], [shiftedCompositeDiagram['cold']['T'][0]])
a.set_hatch('\\')
a.set_facecolor('w')
plt.grid(True)
if localisation == 'DE':
plt.title('Verschobene Verbundkurven ({})'.format(processdesignation))#plt.title('Shifted Temperature-Enthalpy Composite Diagram')
plt.xlabel('Enthalpiestrom H in kW')
plt.ylabel('Verschobene Temperatur in °C')
elif localisation == 'EN':
plt.title('Shifted Composite Diagram')
plt.xlabel('Enthalpy H in kW')
plt.ylabel('Shifted Temperature T in °C')
def drawCompositeDiagram(self, compositeDiagram, shiftedCompositeDiagram, coldUtility,
_temperatures, tmin, hotUtility, pinchTemperature, processdesignation, localisation):
fig = plt.figure()
plt.plot(compositeDiagram['hot']['H'], compositeDiagram['hot']['T'], 'tab:red')
plt.plot(compositeDiagram['cold']['H'], compositeDiagram['cold']['T'], 'tab:blue')
plt.plot(compositeDiagram['hot']['H'], compositeDiagram['hot']['T'], 'ro')
plt.plot(compositeDiagram['cold']['H'], compositeDiagram['cold']['T'], 'bo')
maxColdH = max(compositeDiagram['cold']['H'])
try:
pinchIndex = shiftedCompositeDiagram['cold']['T'].index(pinchTemperature)
pinchH = shiftedCompositeDiagram['cold']['H'][pinchIndex]
plt.plot([pinchH, pinchH], [_temperatures[0], _temperatures[-1]], ':')
except ValueError:
pass
plt.grid(True)
if localisation == 'DE':
plt.title('Verbundkurven ({})'.format(processdesignation))#plt.title('Shifted Temperature-Enthalpy Composite Diagram')
plt.xlabel('Enthalpiestrom H in kW')
plt.ylabel('Temperatur in °C')
elif localisation == 'EN':
plt.title('Composite Diagram ({})'.format(processdesignation))
plt.xlabel('Enthalpy H in kW')
plt.ylabel('Temperature T in °C')
def drawGrandCompositeCurve(self, processdesignation, heatCascade, grandCompositeCurve, _temperatures, pinchTemperature, localisation):
fig = plt.figure(num='{}'.format(processdesignation))
if heatCascade[0]['deltaH'] > 0:
plt.plot([grandCompositeCurve['H'][0],grandCompositeCurve['H'][1]], [grandCompositeCurve['T'][0],grandCompositeCurve['T'][1]], 'tab:red')
plt.plot([grandCompositeCurve['H'][0],grandCompositeCurve['H'][1]], [grandCompositeCurve['T'][0],grandCompositeCurve['T'][1]], 'ro')
elif heatCascade[0]['deltaH'] < 0:
plt.plot([grandCompositeCurve['H'][0],grandCompositeCurve['H'][1]], [grandCompositeCurve['T'][0],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(_temperatures)-1):
if 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 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 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([0, grandCompositeCurve['H'][-1]], [pinchTemperature, pinchTemperature], ':')
plt.grid(True)
if localisation == 'DE':
plt.title('Großverbundkurve ({})'.format(processdesignation))
plt.xlabel('Nettoenthalpiestromänderung ∆H [kW]')
plt.ylabel('Verschobene Temperatur [°C]')
elif localisation == 'EN':
plt.title('Grand Composite Diagram ({})'.format(processdesignation))
plt.xlabel('Net Enthalpy Change ∆H in kW')
plt.ylabel('Shifted Temperature T in °C')
def showPlots():
plt.show()
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