class ThermodynamicalProcess(ThermodynamicalCycle):
############# Inputs #############
fluidSource = F.SubModelGroup(TC.FluidSource, 'FG', label='Initial State')
fluidSink = F.SubModelGroup(TC.FluidSink, 'FG', label='Final State')
inputs = F.SuperGroup([fluidSource, fluidSink])
# Model View
inputView = F.ModelView(ioType="input",
superGroups=[inputs],
autoFetch=True)
############# Results #############
w = F.Quantity('SpecificEnergy',
default=(0, 'kJ/kg'),
label='specific work')
qIn = F.Quantity('SpecificEnergy',
default=(0, 'kJ/kg'),
label='specific heat in')
delta_h = F.Quantity('SpecificEnthalpy', label='enthalpy change (fluid)')
WDot = F.Quantity('Power', default=(0, 'kW'), label='power')
QDotIn = F.Quantity('HeatFlowRate',
default=(0, 'kW'),
label='heat flow rate in')
deltaHDot = F.Quantity('Power', label='enthalpy change (fluid)')
# Specific energy quantities
specificEnergyResults = F.FieldGroup(
[w, delta_h, qIn], label="Heat/work (specific quantities)")
# Energy flow quantities
energyFlowResults = F.FieldGroup([WDot, deltaHDot, QDotIn],
label="Heat/work flows")
energyBalanceResults = F.SuperGroup(
[specificEnergyResults, energyFlowResults], label="Energy balance")
# Model View
resultView = F.ModelView(
ioType="output",
superGroups=['resultDiagrams', 'resultStates', energyBalanceResults])
############# Page structure ########
modelBlocks = [inputView, resultView]
############# Methods ###############
def postProcess(self, component):
super(ThermodynamicalProcess, self).postProcess(300)
component.postProcess()
self.w = component.w
self.qIn = component.qIn
self.delta_h = component.delta_h
self.WDot = component.WDot
self.QDotIn = component.QDotIn
self.deltaHDot = component.deltaHDot
class RegenerativeRankineCycle(RankineCycle):
label = "Regenerative Rankine cycle"
figure = F.ModelFigure(src="ThermoFluids/img/ModuleImages/RankineCycle_Recuperator.svg", height = 300)
description = F.ModelDescription("Rankine cycle with recuperator, \
using the temperature of the hot steam before the condenser to pre-heat the fluid before entering the boiler", show = True)
#================ Inputs ================#
#---------------- Fields ----------------#
# FieldGroup
recuperator = F.SubModelGroup(TC.HeatExchangerTwoStreams, 'FG', label = 'Recuperator')
inputs = F.SuperGroup(['workingFluidGroup', 'pump', recuperator, 'boiler', 'turbine', 'condenser'], label = 'Cycle defininition')
#--------------- Model view ---------------#
#================ Results ================#
#---------------- Energy flows -----------#
recuperatorHeat = F.Quantity('HeatFlowRate', default = (0, 'kW'), label = 'recuperator heat rate')
flowFieldGroup = F.FieldGroup(['pumpPower', recuperatorHeat, 'boilerHeat', 'turbinePower', 'condenserHeat'], label = 'Energy flows')
#---------------- Scheme -----------------#
scheme_Rankine_recup = F.Image(default="static/ThermoFluids/img/ModuleImages/RankineCycle_Recuperator.png")
SchemeVG = F.ViewGroup([scheme_Rankine_recup], label="Process Scheme")
SchemeSG = F.SuperGroup([SchemeVG], label="Scheme")
resultView = F.ModelView(ioType = "output", superGroups = ['resultDiagrams', SchemeSG, 'resultStates', 'resultEnergy', 'solverStats'])
#================ Methods ================#
def compute(self):
self.initCompute(self.fluidName)
# Connect components
self.connectPorts(self.condenser.outlet, self.pump.inlet)
self.connectPorts(self.pump.outlet, self.recuperator.inlet1)
self.connectPorts(self.recuperator.outlet1, self.boiler.inlet)
self.connectPorts(self.boiler.outlet, self.turbine.inlet)
self.connectPorts(self.turbine.outlet, self.recuperator.inlet2)
self.connectPorts(self.recuperator.outlet2, self.condenser.inlet)
# Initial guess
for fl in self.flows:
fl.mDot = self.mDot
self.condenser.outlet.state.update_pq(self.pLow, 0)
self.boiler.outlet.state.update_pq(self.pHigh, 1)
self.turbine.compute(self.pLow)
# Cycle iterations
self.solver.run()
# Results
self.postProcess()
def computeCycle(self):
self.pump.compute(self.pHigh)
self.recuperator.compute()
self.recuperator.computeStream1()
self.boiler.compute()
self.turbine.compute(self.pLow)
self.recuperator.computeStream2()
self.condenser.compute()
def postProcess(self):
super(RegenerativeRankineCycle, self).postProcess()
self.recuperatorHeat = self.recuperator.QDot
def SteamPlant(self):
RankineCycle.SteamPlant(self)
self.pLow = (2, 'bar')
self.boiler.TOutlet = (600, 'degC')
class ABC(NumericalModel):
showOnHome = False
label = 'ABC'
compressor = F.SubModelGroup(TC.Compressor, ['etaS', 'fQ', 'modelType'],
label='Compressor') #fields = )
inputs = F.SuperGroup([compressor])
inputView = F.ModelView(ioType="input",
superGroups=[inputs],
autoFetch=True)
resultView = F.ModelView(ioType="output", superGroups=[])
testJs = JsBlock(srcType="file", src="TestPage.js")
testHtml = HtmlBlock(srcType="file", src="TestPage.html")
modelBlocks = [inputView, resultView, testJs, testHtml]
def __init__(self):
self.compressor.modelType = 'S'
self.compressor.declared_fields['modelType'].show = 'false'
def compute(self):
pass
class ThermodynamicalProcessTwoStreams(ThermodynamicalCycle):
############# Inputs #############
fluidSource1 = F.SubModelGroup(TC.FluidSource, 'FG', label='Inlet 1')
fluidSource2 = F.SubModelGroup(TC.FluidSource, 'FG', label='Inlet 2')
fluidSink1 = F.SubModelGroup(TC.FluidSink, 'FG', label='Outlet 1')
fluidSink2 = F.SubModelGroup(TC.FluidSink, 'FG', label='Outlet 2')
inputs = F.SuperGroup([fluidSource1, fluidSource2, fluidSink1, fluidSink2])
# Model View
inputView = F.ModelView(ioType="input",
superGroups=[inputs],
autoFetch=True)
############# Results #############
QDot = F.Quantity('HeatFlowRate',
default=(0, 'kW'),
label='heat flow rate in')
NTU = F.Quantity(label='NTU')
Cr = F.Quantity(label='capacity ratio')
energyResults = F.FieldGroup([QDot, NTU, Cr], label="Energy")
energyBalanceResults = F.SuperGroup([energyResults],
label="Energy balance")
# Model View
resultView = F.ModelView(
ioType="output", superGroups=['resultStates', energyBalanceResults])
############# Page structure ########
modelBlocks = [inputView, resultView]
############# Methods ###############
def postProcess(self, component):
super(ThermodynamicalProcessTwoStreams, self).postProcess(300)
self.QDot = component.QDot
self.NTU = component.NTU
self.Cr = component.Cr
class ADM1H2CH4Bioreactors(NumericalModel):
label = "(H2,CH4) Bioreactors"
description = F.ModelDescription(
"A model of the process of hydrogen and methane production by anaerobic digestion of organic wastes in a cascade of two continuously stirred bioreactors.",
show=True)
figure = F.ModelFigure(
src="BioReactors/img/ModuleImages/ADM1H2CH4Bioreactors.png", show=True)
async = True
progressOptions = {'suffix': 'day', 'fractionOutput': True}
#1. ############ Inputs ###############
#1.1 Fields - Input values
parametersRH2 = F.SubModelGroup(H2Bioreactor,
'parametersSG',
label='Parameters (R-H2)')
concentrationsRH2 = F.SubModelGroup(H2Bioreactor,
'concentrationsSG',
label='Concentrations (R-H2)')
parametersRCH4 = F.SubModelGroup(CH4Bioreactor,
'parametersSG',
label='Parameters (R-CH4)')
concentrationsRCH4 = F.SubModelGroup(CH4Bioreactor,
'concentrationsSG',
label='Concentrations (R-CH4)')
#1.3 Fields - Settings
solverSettings = F.SubModelGroup(SolverSettings,
'FG',
label='H2 & CH4 - Bioreactors')
settingsSG = F.SuperGroup([solverSettings], label='Solver settings')
#1.4 Model view
exampleAction = A.ServerAction(
"loadEg",
label="Examples",
options=(
#('exampleDef', 'Reset to default values'),
('exampleADM1', 'Reset to ADM1 values'), ))
inputView = F.ModelView(
ioType="input",
superGroups=[
parametersRH2, concentrationsRH2, parametersRCH4,
concentrationsRCH4, settingsSG
],
autoFetch=True,
actionBar=A.ActionBar([exampleAction]),
)
#2. ############ Results ###############
storage = F.HdfStorage(hdfFile=DM.dataStorageFilePath,
hdfGroup=DM.dataStorageDatasetPath)
varTuples = (
('time', F.Quantity('Bio_Time', default=(1, 'day'))), #0
('S_su_RH2', F.Quantity('Bio_CODConcentration',
default=(1, 'gCOD/L'))), #1
('S_aa_RH2', F.Quantity('Bio_CODConcentration',
default=(1, 'gCOD/L'))), #2
('S_fa_RH2', F.Quantity('Bio_CODConcentration',
default=(1, 'gCOD/L'))), #3
('S_ac_RH2', F.Quantity('Bio_CODConcentration',
default=(1, 'gCOD/L'))), #4
('X_c_RH2', F.Quantity('Bio_CODConcentration',
default=(1, 'gCOD/L'))), #5
('X_ch_RH2', F.Quantity('Bio_CODConcentration',
default=(1, 'gCOD/L'))), #6
('X_pr_RH2', F.Quantity('Bio_CODConcentration',
default=(1, 'gCOD/L'))), #7
('X_li_RH2', F.Quantity('Bio_CODConcentration',
default=(1, 'gCOD/L'))), #8
('X_suaa_RH2', F.Quantity('Bio_MassConcentration',
default=(1, 'g/L'))), #9
('X_fa_RH2', F.Quantity('Bio_MassConcentration',
default=(1, 'g/L'))), #10
('intQ_h2_RH2',
F.Quantity('Bio_CODConcentration', default=(1, 'gCOD/L'))), #11
('S_ac_RCH4', F.Quantity('Bio_CODConcentration',
default=(1, 'gCOD/L'))), #12
('X_ac_RCH4', F.Quantity('Bio_MassConcentration',
default=(1, 'g/L'))), #13
('intQ_ch4_RCH4',
F.Quantity('Bio_CODConcentration', default=(1, 'gCOD/L'))), #14
('Q_h2_RH2',
F.Quantity('Bio_CODConcentrationFlowRate',
default=(1, 'gCOD/L/day'))), #15
('Q_ch4_RCH4',
F.Quantity('Bio_CODConcentrationFlowRate',
default=(1, 'gCOD/L/day'))), #16
('D_RH2', F.Quantity('Bio_TimeRate', default=(1, '1/day'))), #17
('D_RCH4', F.Quantity('Bio_TimeRate', default=(1, '1/day'))), #18
)
plot1RH2 = F.PlotView(
varTuples,
label='R-H2 (S<sub>su</sub>, S<sub>aa</sub>, S<sub>fa</sub>)',
options={'ylabel': None},
visibleColumns=[0, 1, 2, 3],
useHdfStorage=True,
storage='storage',
)
plot2RH2 = F.PlotView(
varTuples,
label='R-H2 (X<sub>ch</sub>, X<sub>pr</sub>, X<sub>li</sub>)',
options={'ylabel': None},
visibleColumns=[0, 6, 7, 8],
useHdfStorage=True,
storage='storage',
)
plot3RH2 = F.PlotView(
varTuples,
label='R-H2 (X<sub>su-aa</sub>,X<sub>fa</sub>)',
options={'ylabel': None},
visibleColumns=[0, 9, 10],
useHdfStorage=True,
storage='storage',
)
plot4RH2 = F.PlotView(
varTuples,
label='R-H2 (H<sub>2</sub>)',
options={'ylabel': None},
visibleColumns=[0, 11, 15],
useHdfStorage=True,
storage='storage',
)
plot1RCH4 = F.PlotView(
varTuples,
label='R-CH4 (S<sub>ac</sub>, X<sub>ac</sub>)',
options={'ylabel': None},
visibleColumns=[0, 12, 13],
useHdfStorage=True,
storage='storage',
)
plot2RCH4 = F.PlotView(
varTuples,
label='R-CH4 (CH<sub>4</sub>)',
options={'ylabel': None},
visibleColumns=[0, 14, 16],
useHdfStorage=True,
storage='storage',
)
plotD = F.PlotView(
varTuples,
label='(D<sub>RH2</sub>, D<sub>RCH4</sub>)',
options={'ylabel': None},
visibleColumns=[0, 17, 18],
useHdfStorage=True,
storage='storage',
)
table = F.TableView(
varTuples,
label='Table',
options={
'title': 'Bioreactors',
'formats': ['0.000']
},
useHdfStorage=True,
storage='storage',
)
storageVG = F.ViewGroup([storage], show="false")
resultsVG = F.ViewGroup([
plot1RH2, plot2RH2, plot3RH2, plot4RH2, plot1RCH4, plot2RCH4, plotD,
table
])
resultsSG = F.SuperGroup([resultsVG, storageVG], label='Results')
#2.1 Model view
resultView = F.ModelView(ioType="output", superGroups=[resultsSG])
############# Page structure ########
modelBlocks = [inputView, resultView]
############# Methods ###############
def __init__(self):
self.exampleADM1()
def exampleDef(self):
############# H2 Bioreactor ###############
#Stoichiometric parameter values
self.parametersRH2.f_ch_xc = 0.5 #-
self.parametersRH2.f_pr_xc = 0.15 #-
self.parametersRH2.f_li_xc = 0.15 #-
self.parametersRH2.f_su_li = 0.05 #-
self.parametersRH2.f_fa_li = 0.9 #-
self.parametersRH2.f_ac_su = 0.41 #-
self.parametersRH2.f_ac_aa = 0.4 #-
self.parametersRH2.Y_suaa = 0.1 #-
self.parametersRH2.Y_fa = 0.06 #-
#Biochemical parameter values
self.parametersRH2.k_dis = (0.5, '1/day')
self.parametersRH2.k_hyd_ch = (10.0, '1/day')
self.parametersRH2.k_hyd_pr = (10.0, '1/day')
self.parametersRH2.k_hyd_li = (10.0, '1/day')
self.parametersRH2.k_m_suaa = (30.0, '1/day')
self.parametersRH2.K_S_suaa = (0.5, 'g/L')
self.parametersRH2.k_m_fa = (6.0, '1/day')
self.parametersRH2.K_S_fa = (0.4, 'g/L')
# Physiochemical parameter values
self.parametersRH2.Y_h2_su = 1.0 #-
self.parametersRH2.Y_h2_aa = 1.0 #-
self.parametersRH2.Y_h2_fa = 1.0 #-
# Volumetric flow rate values
self.parametersRH2.D_liq_arr[0] = (10.0, 0.0) #(day, 1/day)
self.parametersRH2.D_liq_arr[1] = (10.0, 0.1) #(day, 1/day)
self.parametersRH2.D_liq_arr[2] = (10.0, 0.05) #(day, 1/day)
self.parametersRH2.D_liq_arr[3] = (10.0, 0.15) #(day, 1/day)
# Input concentrations
self.concentrationsRH2.S_su_in = (0.0, 'gCOD/L')
self.concentrationsRH2.S_aa_in = (0.0, 'gCOD/L')
self.concentrationsRH2.S_fa_in = (0.0, 'gCOD/L')
self.concentrationsRH2.S_ac_in = (0.0, 'gCOD/L')
self.concentrationsRH2.X_c_in = (2.0, 'gCOD/L')
self.concentrationsRH2.X_ch_in = (0.0, 'gCOD/L')
self.concentrationsRH2.X_pr_in = (0.0, 'gCOD/L')
self.concentrationsRH2.X_li_in = (0.0, 'gCOD/L')
self.concentrationsRH2.X_suaa_in = (0.0, 'g/L')
self.concentrationsRH2.X_fa_in = (0.0, 'g/L')
# Initial values of state variables
self.concentrationsRH2.S_su_0 = (0.012, 'gCOD/L')
self.concentrationsRH2.S_aa_0 = (0.005, 'gCOD/L')
self.concentrationsRH2.S_fa_0 = (0.099, 'gCOD/L')
self.concentrationsRH2.S_ac_0 = (0.20, 'gCOD/L')
self.concentrationsRH2.X_c_0 = (30.0, 'gCOD/L')
self.concentrationsRH2.X_ch_0 = (0.028, 'gCOD/L')
self.concentrationsRH2.X_pr_0 = (0.10, 'gCOD/L')
self.concentrationsRH2.X_li_0 = (0.03, 'gCOD/L')
self.concentrationsRH2.X_suaa_0 = (0.42, 'g/L')
self.concentrationsRH2.X_fa_0 = (0.24, 'g/L')
############# CH4 Bioreactor ###############
#Stoichiometric parameter values
self.parametersRCH4.Y_ac = 0.5 #-
#Biochemical parameter values
self.parametersRCH4.k_m_ac = (8.0, '1/day')
self.parametersRCH4.K_S_ac = (0.15, 'g/L')
# Physiochemical parameter values
self.parametersRCH4.Y_ch4_ac = 1.0 #-
# Physical parameter values
self.parametersRCH4.V_liq_RCH4_del_V_liq_RH2 = (50.0, '-') #L/L
# Input concentrations
self.concentrationsRCH4.X_ac_in = (0.0, 'g/L')
# Initial values of state variables
self.concentrationsRCH4.S_ac_0 = (0.0, 'gCOD/L')
self.concentrationsRCH4.X_ac_0 = (2.0, 'g/L')
############# Solver settings ###############
self.solverSettings.tFinal = (50.0, 'day')
self.solverSettings.tPrint = (0.1, 'day')
self.solverSettings.absTol = (1e-9, 'day')
self.solverSettings.relTol = (1e-7, 'day')
def exampleADM1(self):
############# H2 Bioreactor ###############
#Stoichiometric parameter values
self.parametersRH2.f_ch_xc = 0.2 #-
self.parametersRH2.f_pr_xc = 0.2 #-
self.parametersRH2.f_li_xc = 0.3 #-
self.parametersRH2.f_su_li = 0.05 #-
self.parametersRH2.f_fa_li = 0.95 #-
self.parametersRH2.f_ac_su = 0.41 #-
self.parametersRH2.f_ac_aa = 0.4 #-
self.parametersRH2.Y_suaa = 0.1 #-
self.parametersRH2.Y_fa = 0.06 #-
#Biochemical parameter values
self.parametersRH2.k_dis = (0.5, '1/day')
self.parametersRH2.k_hyd_ch = (10.0, '1/day')
self.parametersRH2.k_hyd_pr = (10.0, '1/day')
self.parametersRH2.k_hyd_li = (10.0, '1/day')
self.parametersRH2.k_m_suaa = (30.0, '1/day')
self.parametersRH2.K_S_suaa = (0.5, 'g/L')
self.parametersRH2.k_m_fa = (6.0, '1/day')
self.parametersRH2.K_S_fa = (0.4, 'g/L')
# Physiochemical parameter values
self.parametersRH2.Y_h2_su = 1.0 #-
self.parametersRH2.Y_h2_aa = 1.0 #-
self.parametersRH2.Y_h2_fa = 1.0 #-
# Volumetric flow rate values
self.parametersRH2.D_liq_arr[0] = (10.0, 0.0) #(day, 1/day)
self.parametersRH2.D_liq_arr[1] = (10.0, 0.1) #(day, 1/day)
self.parametersRH2.D_liq_arr[2] = (10.0, 0.05) #(day, 1/day)
self.parametersRH2.D_liq_arr[3] = (10.0, 0.15) #(day, 1/day)
# Input concentrations
self.concentrationsRH2.S_su_in = (0.01, 'gCOD/L')
self.concentrationsRH2.S_aa_in = (0.001, 'gCOD/L')
self.concentrationsRH2.S_fa_in = (0.001, 'gCOD/L')
self.concentrationsRH2.S_ac_in = (0.001, 'gCOD/L')
self.concentrationsRH2.X_c_in = (2.0, 'gCOD/L')
self.concentrationsRH2.X_ch_in = (5.0, 'gCOD/L')
self.concentrationsRH2.X_pr_in = (20.0, 'gCOD/L')
self.concentrationsRH2.X_li_in = (5.0, 'gCOD/L')
self.concentrationsRH2.X_suaa_in = (0.0, 'g/L')
self.concentrationsRH2.X_fa_in = (0.01, 'g/L')
# Initial values of state variables
self.concentrationsRH2.S_su_0 = (0.012, 'gCOD/L')
self.concentrationsRH2.S_aa_0 = (0.005, 'gCOD/L')
self.concentrationsRH2.S_fa_0 = (0.099, 'gCOD/L')
self.concentrationsRH2.S_ac_0 = (0.20, 'gCOD/L')
self.concentrationsRH2.X_c_0 = (0.31, 'gCOD/L')
self.concentrationsRH2.X_ch_0 = (0.028, 'gCOD/L')
self.concentrationsRH2.X_pr_0 = (0.10, 'gCOD/L')
self.concentrationsRH2.X_li_0 = (0.03, 'gCOD/L')
self.concentrationsRH2.X_suaa_0 = (0.42, 'g/L')
self.concentrationsRH2.X_fa_0 = (0.24, 'g/L')
############# CH4 Bioreactor ###############
#Stoichiometric parameter values
self.parametersRCH4.Y_ac = 0.05 #-
#Biochemical parameter values
self.parametersRCH4.k_m_ac = (8.0, '1/day')
self.parametersRCH4.K_S_ac = (0.15, 'g/L')
# Physiochemical parameter values
self.parametersRCH4.Y_ch4_ac = 1.0 #-
# Physical parameter values
self.parametersRCH4.V_liq_RCH4_del_V_liq_RH2 = (50.0, '-') #L/L
# Input concentrations
self.concentrationsRCH4.X_ac_in = (0.0, 'g/L')
# Initial values of state variables
self.concentrationsRCH4.S_ac_0 = (0.0, 'gCOD/L')
self.concentrationsRCH4.X_ac_0 = (0.76, 'g/L')
############# Solver settings ###############
self.solverSettings.tFinal = (50.0, 'day')
self.solverSettings.tPrint = (0.1, 'day')
self.solverSettings.absTol = (1e-12, 'day')
self.solverSettings.relTol = (1e-10, 'day')
def computeAsync(self):
# Simulate RH2 and RCH4 Bioreactors
bioreactor = DM.ADM1H2CH4Bioreactors(self, self.parametersRH2,
self.concentrationsRH2,
self.parametersRCH4,
self.concentrationsRCH4)
bioreactor.prepareSimulation(self.solverSettings)
bioreactor.run(self.solverSettings)
# Show results
self.storage = bioreactor.resultStorage.simulationName
class VaporCompressionCycleWithRecuperator(VaporCompressionCycle):
label = "Vapor compression cycle (recuperator)"
figure = F.ModelFigure(
src=
"ThermoFluids/img/ModuleImages/VaporCompressionCycle_Recuperator.svg")
description = F.ModelDescription(
"Vapor compression cycle with a recuperator. The stream \
before the throttle valve is precooled, using the cold stream at the evaporator outlet. \
This increases the compressor cooling/heating capacity of the cycle and improves slightly the COP",
show=True)
#================ Inputs ================#
#---------------- Fields ----------------#
recuperator = F.SubModelGroup(TC.HeatExchangerTwoStreams,
'FG',
label='Recuperator')
inputs = F.SuperGroup([
'workingFluidGroup', 'compressor', recuperator, 'condenser',
'evaporator'
],
label='Cycle definition')
#--------------- Model view ---------------#
#================ Results ================#
#---------------- Energy flows -----------#
recuperatorHeat = F.Quantity('HeatFlowRate',
default=(0, 'kW'),
label='recuperator heat rate')
flowFieldGroup = F.FieldGroup([
'compressorPower', recuperatorHeat, 'condenserHeat', 'evaporatorHeat'
],
label='Energy flows')
#---------------- Scheme -----------------#
scheme_VaporCompression_recup = F.Image(
default=
"static/ThermoFluids/img/ModuleImages/VaporCompressionCycle_Recuperator.png"
)
SchemeVG = F.ViewGroup([scheme_VaporCompression_recup],
label="Process Scheme")
SchemeSG = F.SuperGroup([SchemeVG], label="Scheme")
resultView = F.ModelView(ioType="output",
superGroups=[
'resultDiagrams', SchemeSG, 'resultStates',
'resultEnergy', 'solverStats'
])
#================ Methods ================#
def compute(self):
if (self.cycleTranscritical and self.condenser.computeMethod == 'dT'):
raise ValueError(
'In transcritical cycle, condenser sub-cooling cannot be used as input'
)
self.initCompute(fluid=self.fluidName)
# Connect components
self.connectPorts(self.evaporator.outlet, self.recuperator.inlet1)
self.connectPorts(self.recuperator.outlet1, self.compressor.inlet)
self.connectPorts(self.compressor.outlet, self.condenser.inlet)
self.connectPorts(self.condenser.outlet, self.recuperator.inlet2)
self.connectPorts(self.recuperator.outlet2, self.throttleValve.inlet)
self.connectPorts(self.throttleValve.outlet, self.evaporator.inlet)
# Initial guess
for fl in self.flows:
fl.mDot = self.mDot
self.evaporator.outlet.state.update_pq(self.pLow, 1)
if (self.cycleTranscritical):
self.condenser.outlet.state.update_Tp(
1.05 * self.fluid.critical['T'], self.pHigh)
else:
self.condenser.outlet.state.update_pq(self.pHigh, 0)
# Cycle iterations
self.solver.run()
# Results
self.postProcess()
def computeCycle(self):
self.recuperator.compute()
self.recuperator.computeStream1()
self.compressor.compute(self.pHigh)
self.condenser.compute()
self.recuperator.computeStream2()
self.throttleValve.compute(self.pLow)
self.evaporator.compute()
if (self.cycleTranscritical and self.condenser.computeMethod == 'dT'):
raise ValueError(
'In transcritical cycle, condenser sub-cooling cannot be used as input'
)
def postProcess(self):
super(VaporCompressionCycleWithRecuperator, self).postProcess()
self.recuperatorHeat = self.recuperator.QDot
def R134aCycle(self):
super(VaporCompressionCycleWithRecuperator, self).R134aCycle()
self.recuperator.eta = 0.7
class VaporCompressionCycle(HeatPumpCycle):
label = "Vapor compression cycle"
figure = F.ModelFigure(
src="ThermoFluids/img/ModuleImages/VaporCompressionCycle.svg")
description = F.ModelDescription(
"Basic vapor compression cycle used in refrigerators and air conditioners",
show=True)
#================ Inputs ================#
#---------------- Fields ----------------#
# FieldGroup
compressor = F.SubModelGroup(TC.Compressor, 'FG', label='Compressor')
condenser = F.SubModelGroup(TC.Condenser, 'FG', label='Condenser')
throttleValve = F.SubModelGroup(TC.ThrottleValve, 'FG', label='JT valve')
evaporator = F.SubModelGroup(TC.Evaporator, 'FG', label='Evaporator')
inputs = F.SuperGroup(
['workingFluidGroup', compressor, condenser, evaporator],
label='Cycle definition')
#---------------- Actions ----------------#
exampleAction = ServerAction(
"loadEg",
label="Examples",
options=(
('R134aCycle', 'Typical fridge with R134a as a refrigerant'),
('CO2TranscriticalCycle', 'CO2 transcritial cycle'),
))
#--------------- Model view ---------------#
inputView = F.ModelView(ioType="input",
superGroups=[inputs, 'cycleDiagram', 'solver'],
actionBar=ActionBar([exampleAction]),
autoFetch=True)
#================ Results ================#
compressorPower = F.Quantity('Power',
default=(1, 'kW'),
label='compressor power')
condenserHeat = F.Quantity('HeatFlowRate',
default=(1, 'kW'),
label='condenser heat out')
evaporatorHeat = F.Quantity('HeatFlowRate',
default=(1, 'kW'),
label='evaporator heat in')
flowFieldGroup = F.FieldGroup(
[compressorPower, condenserHeat, evaporatorHeat], label='Energy flows')
resultEnergy = F.SuperGroup([flowFieldGroup, 'efficiencyFieldGroup'],
label='Energy')
resultView = F.ModelView(ioType="output",
superGroups=[
'resultDiagrams', 'resultStates',
resultEnergy, 'solverStats'
])
#============= Page structure =============#
modelBlocks = [inputView, resultView]
#================ Methods ================#
def __init__(self):
self.R134aCycle()
def compute(self):
if (self.cycleTranscritical and self.condenser.computeMethod == 'dT'):
raise ValueError(
'In transcritical cycle, condenser sub-cooling cannot be used as input'
)
if (self.cycleSupercritical and self.evaporator.computeMethod == 'dT'):
raise ValueError(
'In supercritical cycle, evaporator super-heating cannot be used as input'
)
self.initCompute(fluid=self.fluidName)
# Connect components
self.connectPorts(self.evaporator.outlet, self.compressor.inlet)
self.connectPorts(self.compressor.outlet, self.condenser.inlet)
self.connectPorts(self.condenser.outlet, self.throttleValve.inlet)
self.connectPorts(self.throttleValve.outlet, self.evaporator.inlet)
# Initial guess
for fl in self.flows:
fl.mDot = self.mDot
self.evaporator.outlet.state.update_pq(self.pLow, 1)
# Cycle iterations
self.solver.run()
# Results
self.postProcess()
def computeCycle(self):
self.compressor.compute(self.pHigh)
self.condenser.compute()
self.throttleValve.compute(self.pLow)
self.evaporator.compute()
def postProcess(self):
super(VaporCompressionCycle, self).postProcess(self.TAmbient)
# Flows
self.compressorPower = self.mDot * self.compressor.w
self.compressorHeat = -self.mDot * self.compressor.qIn
self.condenserHeat = -self.mDot * self.condenser.qIn
self.evaporatorHeat = self.mDot * self.evaporator.qIn
# Efficiencies
self.COPCooling = self.evaporatorHeat / self.compressorPower
self.COPHeating = self.condenserHeat / self.compressorPower
def CO2TranscriticalCycle(self):
self.fluidName = 'CarbonDioxide'
self.pHighMethod = 'P'
self.pHigh = (130, 'bar')
self.pLowMethod = 'T'
self.TEvaporation = (10, 'degC')
self.compressor.modelType = 'S'
self.compressor.etaS = 0.8
self.compressor.fQ = 0.2
self.condenser.computeMethod = 'T'
self.condenser.TOutlet = (50, 'degC')
self.evaporator.computeMethod = 'dT'
self.evaporator.dTOutlet = (5, 'degC')
def R134aCycle(self):
self.fluidName = 'R134a'
self.pHighMethod = 'P'
self.pHigh = (10, 'bar')
self.pLowMethod = 'T'
self.TEvaporation = (-20, 'degC')
self.compressor.modelType = 'S'
self.compressor.etaS = 0.75
self.compressor.fQ = 0.0
self.condenser.computeMethod = 'T'
self.condenser.TOutlet = (36, 'degC')
self.evaporator.computeMethod = 'Q'
self.evaporator.qOutlet = 1.0
class ChemostatDDE2_ESA(NumericalModel):
label = "DDE Chemostat (Example 2 - ESA)"
description = F.ModelDescription(
"Chemostat model with delay differential equations (DDE) and extremum seeking algorithm (ESA) - Example 2",
show=True)
figure = F.ModelFigure(
src="BioReactors/img/ModuleImages/SimpleChemostat.png", show=False)
#1. ############ Inputs ###############
#1.1 Fields - Input values
# Parameters
k1 = F.Quantity(
default=0,
minValue=0,
maxValue=1e6,
label='k<sub>1</sub>',
description=
'yield coefficient related to substrate-1 consumption from bacteria-1')
k2 = F.Quantity(
default=0,
minValue=0,
maxValue=1e6,
label='k<sub>2</sub>',
description=
'yield coefficient related to substrate-2 production from bacteria-1')
k3 = F.Quantity(
default=0,
minValue=0,
maxValue=1e6,
label='k<sub>3</sub>',
description=
'yield coefficient related to substrate-2 consumption from bacteria-2')
k4 = F.Quantity(
default=0,
minValue=0,
maxValue=1e6,
label='k<sub>4</sub>',
description=
'yield coefficient of methane (biogas) on bacteria-2 and substrate-2')
s1_in = F.Quantity('Bio_MassConcentration',
default=(0, 'g/L'),
label='s<sub>1</sub><sup>in</sub>',
description='input substrate-1 concentration')
s2_in = F.Quantity('Bio_MassConcentration',
default=(0, 'g/L'),
label='s<sub>2</sub><sup>in</sub>',
description='input substrate-2 concentration')
a = F.Quantity(
'Fraction',
default=(0, '-'),
label='α',
description=
'proportion of organisms that are affected by the dilution rate D')
D = F.Quantity('Bio_TimeRate',
default=(0, '1/day'),
minValue=(0, '1/day'),
label='D',
description='dilution rate')
parametersFG = F.FieldGroup([s1_in, s2_in, k1, k2, k3, k4, a, D],
label='Parameters')
# Parameters - specific growth rates
m1 = F.Quantity('Bio_TimeRate',
default=(0, '1/day'),
minValue=(0, '1/day'),
label='m<sub>1</sub>',
description='maximum specific growth rate of bacteria-1')
m2 = F.Quantity('Bio_TimeRate',
default=(0, '1/day'),
minValue=(0, '1/day'),
label='m<sub>2</sub>',
description='maximum specific growth rate of bacteria-2')
k_s1 = F.Quantity('Bio_MassConcentration',
default=(0, 'g/L'),
label='k<sub>s1</sub>',
description='half saturation constant of bacteria-1')
k_s2 = F.Quantity('Bio_MassConcentration',
default=(0, 'g/L'),
label='k<sub>s2</sub>',
description='half saturation constant of bacteria-2')
k_I = F.Quantity('Dimensionless',
default=(0, '-'),
label='k<sub>I</sub>',
description='constant in unit: [ sqrt( g/L ) ]')
parametersMuFG = F.FieldGroup([m1, m2, k_s1, k_s2, k_I],
label='Parameters - specific growth rates')
# Parameters - time delays
tau1 = F.Quantity(
'Bio_Time',
default=(0, 'day'),
minValue=(0, 'day'),
label='τ<sub>1</sub>',
description=
'time delay in conversion of the substrate-1 to viable biomass for bacteria-1'
)
tau2 = F.Quantity(
'Bio_Time',
default=(0, 'day'),
minValue=(0, 'day'),
label='τ<sub>2</sub>',
description=
'time delay in conversion of the substrate-2 to viable biomass for bacteria-2'
)
parametersTauFG = F.FieldGroup([tau1, tau2],
label='Parameters - time delay')
# historical initial conditions
s1_hist_vals = F.Quantity(
'Bio_MassConcentration',
default=(0, 'g/L'),
label='s<sub>1</sub><sup>[-τ<sub>1</sub>, 0]</sup>',
description='historical initial condition for substrate-1 concentration'
)
x1_hist_vals = F.Quantity(
'Bio_MassConcentration',
default=(0, 'g/L'),
label='x<sub>1</sub><sup>[-τ<sub>1</sub>, 0]</sup>',
description='historical initial condition for bacteria-1 concentration'
)
s2_hist_vals = F.Quantity(
'Bio_MassConcentration',
default=(0, 'g/L'),
label='s<sub>2</sub><sup>[-τ<sub>2</sub>, 0]</sup>',
description='historical initial condition for substrate-2 concentration'
)
x2_hist_vals = F.Quantity(
'Bio_MassConcentration',
default=(0, 'g/L'),
label='x<sub>2</sub><sup>[-τ<sub>2</sub>, 0]</sup>',
description='historical initial condition for bacteria-2 concentration'
)
parametersHistFG = F.FieldGroup(
[s1_hist_vals, x1_hist_vals, s2_hist_vals, x2_hist_vals],
label='Historical initial conditions')
inputValuesSG = F.SuperGroup(
[parametersMuFG, parametersFG, parametersTauFG, parametersHistFG],
label="Input values")
#1.2 Fields - Settings
ESA_enable = F.Boolean(
default=False,
label='enable',
description=
'find the the maximum methane flow rate (i.e. run extremum seeking algorithm)'
)
ESA_DMin = F.Quantity('Bio_TimeRate',
default=(0, '1/day'),
minValue=(0.0, '1/day'),
label='D<sub>min</sub>',
description='minimum dilution rate',
show='self.ESA_enable')
ESA_DMax = F.Quantity('Bio_TimeRate',
default=(0, '1/day'),
minValue=(0.0, '1/day'),
label='D<sub>max</sub>',
description='maximum dilution rate',
show='self.ESA_enable')
ESA_eps = F.Quantity('Bio_TimeRate',
default=(0, '1/day'),
minValue=(1e-9, '1/day'),
maxValue=(1.0, '1/day'),
label='ε*',
description='D max tolerance',
show='self.ESA_enable')
ESA_h = F.Quantity('Bio_TimeRate',
default=(0, '1/day'),
minValue=(1e-8, '1/day'),
maxValue=(1.0, '1/day'),
label='h*',
description='seeking step of D max',
show='self.ESA_enable')
ESA_eps_z = F.Quantity('Bio_MassConcentration',
default=(0, 'g/L'),
minValue=(1e-9, 'g/L'),
maxValue=(1.0, 'g/L'),
label='ε<sub>z</sub>*',
description='equilibrium point tolerance',
show='self.ESA_enable')
ESA_FG = F.FieldGroup(
[ESA_enable, ESA_DMin, ESA_DMax, ESA_eps, ESA_h, ESA_eps_z],
label='Extremum Seeking Algorithm (ESA)')
DsQs_DMin = F.Quantity('Bio_TimeRate',
default=(0, '1/day'),
minValue=(0, '1/day'),
label='D<sub>min</sub>',
description='minimum dilution rate')
DsQs_DMax = F.Quantity('Bio_TimeRate',
default=(0, '1/day'),
minValue=(0, '1/day'),
label='D<sub>max</sub>',
description='maximum dilution rate')
DsQs_Step = F.Quantity('Bio_TimeRate',
default=(0, '1/day'),
minValue=(1e-4, '1/day'),
maxValue=(1.0, '1/day'),
label='D<sub>step</sub>',
description='step of dilution rate')
DsQs_FG = F.FieldGroup([DsQs_DMin, DsQs_DMax, DsQs_Step],
label='Chart (Ds, Qs)')
tFinal = F.Quantity('Bio_Time',
default=(100, 'day'),
minValue=(0, 'day'),
maxValue=(5000, 'day'),
label='simulation time')
tPrint = F.Quantity('Bio_Time',
default=(0.1, 'day'),
minValue=(1e-5, 'day'),
maxValue=(100, 'day'),
label='print interval*')
mainSimStep = F.Quantity('Bio_Time',
default=(10., 'day'),
minValue=(0.25, 'day'),
maxValue=(1e3, 'day'),
label='main simulation step*')
absTol = F.Quantity('Bio_Time',
default=(1e-12, 'day'),
minValue=(1e-16, 'day'),
maxValue=(1e-5, 'day'),
label='absolute tolerance*')
relTol = F.Quantity('Bio_Time',
default=(1e-12, 'day'),
minValue=(1e-16, 'day'),
maxValue=(1e-3, 'day'),
label='relative tolerance*')
solverFG = F.FieldGroup([tFinal, tPrint, mainSimStep, absTol, relTol],
label='Solver')
settingsSG = F.SuperGroup([solverFG, DsQs_FG, ESA_FG], label='Settings')
#1.4 Model view
inputView = F.ModelView(ioType="input",
superGroups=[inputValuesSG, settingsSG],
autoFetch=True)
#2. ############ Results ###############
# 2.1. Results
dataSeries = (
('time', F.Quantity('Bio_Time', default=(1, 'day'))),
('s1', F.Quantity('Bio_MassConcentration', default=(1, 'g/L'))),
('x1', F.Quantity('Bio_MassConcentration', default=(1, 'g/L'))),
('s2', F.Quantity('Bio_MassConcentration', default=(1, 'g/L'))),
('x2', F.Quantity('Bio_MassConcentration', default=(1, 'g/L'))),
('D', F.Quantity('Bio_TimeRate', default=(1, '1/day'))),
('Q',
F.Quantity('Bio_MassConcentrationFlowRate', default=(1, 'g/L/day'))),
)
plot = F.PlotView(
dataSeries,
label='Plot',
options={
'ylabel': None,
'title': 'Chemostat (DDE)'
},
)
table = F.TableView(dataSeries,
label='Table',
options={
'title':
'Title',
'formats': [
'0.0000', '0.0000', '0.0000', '0.0000',
'0.0000', '0.0000', '0.0000'
]
})
chartS1S2 = F.MPLPlot(label='Chart (s<sub>1</sub>, s<sub>2</sub>)')
chartX1X2 = F.MPLPlot(label='Chart (x<sub>1</sub>, x<sub>2</sub>)')
chartS1X1 = F.MPLPlot(label='Chart (s<sub>1</sub>, x<sub>1</sub>)')
chartS2X2 = F.MPLPlot(label='Chart (s<sub>2</sub>, x<sub>2</sub>)')
chartS2X2 = F.MPLPlot(label='Chart (s<sub>2</sub>, x<sub>2</sub>)')
chartDQ = F.MPLPlot(label='Chart (D, Q)')
chartDsQs = F.MPLPlot(label='Chart (Ds, Qs)')
resultsVG = F.ViewGroup([
plot, table, chartS1S2, chartX1X2, chartS1X1, chartS2X2, chartDQ,
chartDsQs
],
label='Results')
resultsSG = F.SuperGroup([resultsVG], label="Results")
# 2.2 Equilibrium point
s1_eqpnt = F.Quantity(
'Bio_MassConcentration',
default=(0., 'g/L'),
label='s<sub>1</sub><sup>*</sup>',
description='substrate-1 concentration at the equilibrium point')
x1_eqpnt = F.Quantity(
'Bio_MassConcentration',
default=(0., 'g/L'),
label='x<sub>1</sub><sup>*</sup>',
description='bacteria-1 concentration at the equilibrium point')
s2_eqpnt = F.Quantity(
'Bio_MassConcentration',
default=(0., 'g/L'),
label='s<sub>2</sub><sup>*</sup>',
description='substrate-2 concentration at the equilibrium point')
x2_eqpnt = F.Quantity(
'Bio_MassConcentration',
default=(0., 'g/L'),
label='x<sub>2</sub><sup>*</sup>',
description='bacteria-1 concentration at the equilibrium point')
equilibriumPointFG = F.FieldGroup([s1_eqpnt, x1_eqpnt, s2_eqpnt, x2_eqpnt],
label='Equilibrium point')
equilibriumPointSG = F.SuperGroup([equilibriumPointFG],
label='Equilibrium point')
# 2.3 ESA Results
resESA_QMaxIsFound = F.Boolean(label='Q<sub>max</sub> is found')
resESA_DMax = F.Quantity('Bio_TimeRate',
default=(0, '1/day'),
label='D<sub>max</sub>',
description='maximum dilution rate')
resESA_QMax = F.Quantity('Bio_MassConcentrationFlowRate',
default=(0, 'g/L/day'),
label='Q<sub>max</sub>',
description='maximum methane (biogas) flow rate')
resESA_FG = F.FieldGroup([resESA_QMaxIsFound, resESA_DMax, resESA_QMax],
label='Results (ESA)')
resESA_SG = F.SuperGroup([resESA_FG], label='Results (ESA)')
#2.1 Model view
resultView = F.ModelView(
ioType="output",
superGroups=[resultsSG, resESA_SG, equilibriumPointSG])
############# Page structure ########
modelBlocks = [inputView, resultView]
def __init__(self):
self.k1 = (10.53, '-')
self.k2 = (28.6, '-')
self.k3 = (1074, '-')
self.k4 = (100, '-')
self.s1_in = (7.5, 'g/L')
self.s2_in = (75, 'g/L')
self.a = (0.5, '-')
self.m1 = (1.2, '1/day')
self.m2 = (0.74, '1/day')
self.k_s1 = (7.1, 'g/L')
self.k_s2 = (9.28, 'g/L')
self.k_I = (16, '-')
self.D = (0.25, '1/day')
self.tau1 = (2, 'day')
self.tau2 = (7, 'day')
self.s1_hist_vals = (2, 'g/L')
self.x1_hist_vals = (0.1, 'g/L')
self.s2_hist_vals = (10, 'g/L')
self.x2_hist_vals = (0.05, 'g/L')
self.DsQs_DMin = (0.0, '1/day')
self.DsQs_DMax = (1.0, '1/day')
self.DsQs_Step = (0.01, '1/day')
self.tFinal = (2000, 'day')
self.tPrint = (1.0, 'day')
self.mainSimStep = (10., 'day')
self.absTol = (1e-12, 'day')
self.relTol = (1e-12, 'day')
self.ESA_enable = True
self.ESA_DMin = (0.01, '1/day')
self.ESA_DMax = (0.33, '1/day')
self.ESA_eps = (0.01, '1/day')
self.ESA_h = (0.025, '1/day')
self.ESA_eps_z = (0.01, 'g/L')
def compute(self):
chemostatDDE = DM.ChemostatDDE2_ESA(self)
if self.ESA_enable:
chemostatDDE.runESA(self)
else:
chemostatDDE.run(self)
resESA = chemostatDDE.getResultsESA()
self.resESA_QMaxIsFound = resESA['QMaxIsFound']
self.resESA_DMax = (resESA['DMax'], '1/day')
self.resESA_QMax = (resESA['QMax'], 'kg/m**3/day')
res = chemostatDDE.getResults()
results = np.array([
res['t'], res['s1'], res['x1'], res['s2'], res['x2'], res['D'],
res['Q']
]).transpose()
self.plot = results
self.table = results
chemostatDDE.plotS1S2(self.chartS1S2)
chemostatDDE.plotX1X2(self.chartX1X2)
chemostatDDE.plotS1X1(self.chartS1X1)
chemostatDDE.plotS2X2(self.chartS2X2)
chemostatDDE.plotDQ(self.chartDQ)
chemostatDDE.plotDsQs(self.chartDsQs)
self.s1_eqpnt = (chemostatDDE.equilibriumPoint[0], 'kg/m**3')
self.x1_eqpnt = (chemostatDDE.equilibriumPoint[1], 'kg/m**3')
self.s2_eqpnt = (chemostatDDE.equilibriumPoint[2], 'kg/m**3')
self.x2_eqpnt = (chemostatDDE.equilibriumPoint[3], 'kg/m**3')
class ClaudeCycle(LindeHampsonCycle):
label = "Claude cycle"
figure = F.ModelFigure(src="ThermoFluids/img/ModuleImages/ClaudeCycle.svg",
height=300)
description = F.ModelDescription(
"Liquefaction cycle using an expander and 3 recurperators for increased efficiency",
show=True)
#================ Inputs ================#
#---------------- Fields ----------------#
# FieldGroup
recuperator2 = F.SubModelGroup(TC.HeatExchangerTwoStreams,
'FG',
label='Recuperator 2')
recuperator3 = F.SubModelGroup(TC.HeatExchangerTwoStreams,
'FG',
label='Recuperator 3')
expander = F.SubModelGroup(TC.Turbine, 'FG', label='Expander')
expanderFlowFraction = F.Quantity('Fraction', label='flow fraction')
expanderEta = F.Quantity('Efficiency', label='efficiency')
expanderFG = F.FieldGroup([expanderFlowFraction, expanderEta],
label='Expander')
expanderSplitter = F.SubModelGroup(TC.FlowSplitter, 'FG')
expanderJunction = F.SubModelGroup(TC.FlowJunction, 'FG')
inputs = F.SuperGroup([
'workingFluidGroup', 'compressor', 'cooler', expanderFG, 'recuperator',
recuperator2, recuperator3
],
label='Cycle definition')
#---------------- Actions ----------------#
exampleAction = ServerAction(
"loadEg",
label="Examples",
options=(
('NitrogenMediumP',
'Nitrogen medium pressure (30 bar) liquefaction cycle'),
('NitrogenLowP',
'Nitrogen low pressure (8 bar) liquefacton cycle'),
))
#--------------- Model view ---------------#
inputView = F.ModelView(ioType="input",
superGroups=[inputs, 'cycleDiagram', 'solver'],
actionBar=ActionBar([exampleAction]),
autoFetch=True)
#================ Results ================#
#---------------- Scheme -----------------#
scheme_Claude = F.Image(
default="static/ThermoFluids/img/ModuleImages/ClaudeCycle.png")
SchemeVG = F.ViewGroup([scheme_Claude], label="Process Scheme")
SchemeSG = F.SuperGroup([SchemeVG], label="Scheme")
resultView = F.ModelView(ioType="output",
superGroups=[
'resultDiagrams', SchemeSG, 'resultStates',
'resultEnergy', 'solverStats'
])
def __init__(self):
self.cooler.computeMethod = 'eta'
self.cooler.TExt = self.TAmbient
self.NitrogenMediumP()
def compute(self):
self.initCompute(self.fluidName)
self.expanderSplitter.frac1 = 1 - self.expanderFlowFraction
self.expanderSplitter.frac2 = self.expanderFlowFraction
self.expander.eta = self.expanderEta
# Connect components
self.connectPorts(self.gasSource.outlet, self.inletJunct.inletMain)
self.connectPorts(self.inletJunct.outlet, self.compressor.inlet)
self.connectPorts(self.compressor.outlet, self.cooler.inlet)
self.connectPorts(self.cooler.outlet, self.recuperator.inlet1)
self.connectPorts(self.recuperator.outlet1,
self.expanderSplitter.inlet)
self.connectPorts(self.expanderSplitter.outlet1,
self.recuperator2.inlet1)
self.connectPorts(self.recuperator2.outlet1, self.recuperator3.inlet1)
self.connectPorts(self.recuperator3.outlet1, self.throttleValve.inlet)
self.connectPorts(self.throttleValve.outlet, self.liqSeparator.inlet)
self.connectPorts(self.liqSeparator.outletVapor,
self.secThrottleValve.inlet)
self.connectPorts(self.secThrottleValve.outlet,
self.recuperator3.inlet2)
self.connectPorts(self.recuperator3.outlet2,
self.expanderJunction.inletMain)
self.connectPorts(self.expanderJunction.outlet,
self.recuperator2.inlet2)
self.connectPorts(self.recuperator2.outlet2, self.recuperator.inlet2)
self.connectPorts(self.recuperator.outlet2, self.inletJunct.inlet2)
self.connectPorts(self.expanderSplitter.outlet2, self.expander.inlet)
self.connectPorts(self.expander.outlet, self.expanderJunction.inlet2)
self.connectPorts(self.liqSeparator.outletLiquid,
self.liquidSink.inlet)
# Initial guess
liqFractionGuess = 0.5
for fl in self.flows:
fl.mDot = 1.0 / liqFractionGuess * self.mDot
for fp in self.fp:
fp.update_Tp(self.TAmbient, self.pIn)
# Initialize source
self.gasSource.T = self.TIn
self.gasSource.p = self.pIn
self.gasSource.mDot = self.mDot
self.gasSource.compute()
# Run solver
self.solve()
# Results
self.postProcess(self.TAmbient)
def computeCycle(self):
self.compressor.compute(self.pHigh)
self.cooler.compute()
self.recuperator.compute()
self.recuperator.computeStream1()
self.expanderSplitter.compute()
self.recuperator2.compute()
self.recuperator2.computeStream1()
self.recuperator3.compute()
self.recuperator3.computeStream1()
self.throttleValve.compute(self.pLiquid)
self.liqSeparator.compute()
self.secThrottleValve.compute(self.pIn)
self.recuperator3.computeStream2()
self.expander.compute(self.pIn)
self.expanderJunction.compute()
self.recuperator2.computeStream2()
self.recuperator.computeStream2()
self.inletJunct.compute()
def createStateDiagram(self):
lineNumbers = [(2, 3), (3, 4), (4, 5), (6, 7), (7, 8), (8, 9), (9, 10),
(9, 18), (10, 11), (11, 12), (13, 14), (14, 15),
(16, 17)]
fluidLines = []
for i, j in lineNumbers:
fluidLines.append((self.fp[i - 1], self.fp[j - 1]))
self.phDiagram = self.cycleDiagram.draw(self.fluid, self.fp,
fluidLines)
def NitrogenLiquefaction(self):
self.fluidName = "Nitrogen"
self.pIn = (1, 'bar')
self.TIn = self.TAmbient
self.pHigh = (30, 'bar')
self.pLiquid = (1.2, 'bar')
self.compressor.modelType = 'T'
self.compressor.etaT = 0.8
self.compressor.dT = 50.
self.cycleDiagram.defaultMaxP = False
self.cycleDiagram.defaultMaxT = False
self.cycleDiagram.maxPressure = (500, 'bar')
self.cycleDiagram.maxTemperature = 350
def NitrogenMediumP(self):
self.fluidName = "Nitrogen"
self.pIn = (1, 'bar')
self.TIn = self.TAmbient
self.mDot = (0.188, 'kg/s')
self.pHigh = (30, 'bar')
self.pLiquid = (1.2, 'bar')
self.compressor.modelType = 'T'
self.compressor.etaT = 0.8
self.compressor.dT = 50
self.cooler.computeMethod = 'eta'
self.cooler.etaThermal = 1.
self.cooler.TExt = (30, 'degC')
self.expanderEta = 0.8
self.expanderFlowFraction = 0.66
self.recuperator.computeMethod = 'EG'
self.recuperator.epsGiven = 0.99
self.recuperator2.computeMethod = 'EN'
self.recuperator2.UA = (1950, 'W/K')
self.recuperator3.computeMethod = 'EG'
self.recuperator3.epsGiven = 0
self.cycleDiagram.defaultMaxT = False
self.cycleDiagram.maxTemperature = 400
def NitrogenLowP(self):
self.fluidName = "Nitrogen"
self.pIn = (1.1, 'bar')
self.TIn = (300, 'K')
self.mDot = (12.8, 'kg/h')
self.pHigh = (8, 'bar')
self.pLiquid = (1.2, 'bar')
self.TAmbient = (300, 'K')
self.compressor.modelType = 'S'
self.compressor.etaS = 0.8
self.compressor.fQ = 0.3
self.cooler.computeMethod = 'eta'
self.cooler.etaThermal = 1.
self.cooler.TExt = (310, 'K')
self.expanderEta = 0.5
self.expanderFlowFraction = 0.94
self.recuperator.computeMethod = 'EN'
self.recuperator.UA = (1280, 'W/K')
self.recuperator2.computeMethod = 'EN'
self.recuperator2.UA = (90, 'W/K')
self.recuperator3.computeMethod = 'EG'
self.recuperator3.epsGiven = 0
self.cycleDiagram.defaultMaxT = False
self.cycleDiagram.maxTemperature = 550
class LindeHampsonCycle(LiquefactionCycle):
label = "Linde-Hampson cycle"
figure = F.ModelFigure(
src="ThermoFluids/img/ModuleImages/LindeHampson.svg", height=300)
description = F.ModelDescription(
"Basic liquefaction cycle used e.g. for air liquefaction", show=True)
#================ Inputs ================#
#---------------- Fields ----------------#
# FieldGroup
gasSource = F.SubModelGroup(TC.FluidSource_TP, 'FG')
inletJunct = F.SubModelGroup(TC.FlowJunction, 'FG')
compressor = F.SubModelGroup(TC.Compressor, 'FG', label='Compressor')
cooler = F.SubModelGroup(TC.Condenser, 'FG', label='Cooler')
recuperator = F.SubModelGroup(TC.HeatExchangerTwoStreams,
'FG',
label='Recuperator')
throttleValve = F.SubModelGroup(TC.ThrottleValve, 'FG', label='JT valve')
liqSeparator = F.SubModelGroup(TC.PhaseSeparator,
'FG',
label='Liquid separator')
secThrottleValve = F.SubModelGroup(TC.ThrottleValve,
'FG',
label='JT valve')
liquidSink = F.SubModelGroup(TC.FluidSink, 'FG')
inputs = F.SuperGroup(
['workingFluidGroup', compressor, cooler, recuperator],
label='Cycle definition')
#---------------- Actions ----------------#
exampleAction = ServerAction("loadEg",
label="Examples",
options=(
('ArgonLiquefaction',
'Argon liquefaction cycle'),
('NitrogenLiquefaction',
'Nitrogen liquefacton cycle'),
))
#--------------- Model view ---------------#
inputView = F.ModelView(ioType="input",
superGroups=[inputs, 'cycleDiagram', 'solver'],
actionBar=ActionBar([exampleAction]),
autoFetch=True)
#================ Results ================#
compressorPower = F.Quantity('Power',
default=(1, 'kW'),
label='compressor power')
compressorHeat = F.Quantity('HeatFlowRate',
default=(1, 'kW'),
label='compressor heat')
coolerHeat = F.Quantity('HeatFlowRate',
default=(1, 'kW'),
label='cooler heat out')
flowFieldGroup = F.FieldGroup(
[compressorPower, compressorHeat, coolerHeat], label='Flows')
resultEnergy = F.SuperGroup([flowFieldGroup, 'efficiencyFieldGroup'],
label='Energy')
#---------------- Scheme -----------------#
scheme_LindeHampson = F.Image(
default="static/ThermoFluids/img/ModuleImages/LindeHampson.png")
SchemeVG = F.ViewGroup([scheme_LindeHampson], label="Process Scheme")
SchemeSG = F.SuperGroup([SchemeVG], label="Scheme")
resultView = F.ModelView(ioType="output",
superGroups=[
'resultDiagrams', SchemeSG, 'resultStates',
resultEnergy, 'solverStats'
])
#============= Page structure =============#
modelBlocks = [inputView, resultView]
#================ Methods ================#
def __init__(self):
self.cooler.computeMethod = 'eta'
self.cooler.TExt = self.TAmbient
self.ArgonLiquefaction()
def compute(self):
self.initCompute(self.fluidName)
# Connect components
self.connectPorts(self.gasSource.outlet, self.inletJunct.inletMain)
self.connectPorts(self.inletJunct.outlet, self.compressor.inlet)
self.connectPorts(self.compressor.outlet, self.cooler.inlet)
self.connectPorts(self.cooler.outlet, self.recuperator.inlet1)
self.connectPorts(self.recuperator.outlet1, self.throttleValve.inlet)
self.connectPorts(self.throttleValve.outlet, self.liqSeparator.inlet)
self.connectPorts(self.liqSeparator.outletVapor,
self.secThrottleValve.inlet)
self.connectPorts(self.secThrottleValve.outlet,
self.recuperator.inlet2)
self.connectPorts(self.recuperator.outlet2, self.inletJunct.inlet2)
self.connectPorts(self.liqSeparator.outletLiquid,
self.liquidSink.inlet)
# Initialize source
self.gasSource.T = self.TIn
self.gasSource.p = self.pIn
self.gasSource.mDot = self.mDot
self.gasSource.compute()
# Initial guess
liqFractionGuess = 0.5
for fl in self.flows:
fl.mDot = 1.0 / liqFractionGuess * self.mDot
for fp in self.fp:
fp.update_Tp(self.TAmbient, self.pIn)
# liqFractionGuess = 0.2
# self.compressor.inlet.flow.mDot = 1.0 / liqFractionGuess * self.gasSource.outlet.flow.mDot
# self.liqSeparator.outletVapor.flow.mDot = liqFractionGuess * self.mDot
#
# self.compressor.inlet.state.update_Tp(
# self.gasSource.outlet.state.T, self.gasSource.outlet.state.p)
# self.secThrottleValve.outlet.state.update_pq(self.pIn, 1)
# Run solver
self.solve()
# Results
self.postProcess(self.TAmbient)
def computeCycle(self):
self.compressor.compute(self.pHigh)
self.cooler.compute()
self.recuperator.compute()
self.recuperator.computeStream1()
self.throttleValve.compute(self.pLiquid)
self.liqSeparator.compute()
self.secThrottleValve.compute(self.pIn)
self.recuperator.computeStream2()
self.inletJunct.compute()
def postProcess(self, TAmbient):
LiquefactionCycle.postProcess(self, TAmbient)
self.compressor.postProcess()
self.cooler.postProcess()
# Flows
self.compressorPower = self.compressor.WDot
self.compressorHeat = -self.compressor.QDotIn
self.coolerHeat = -self.cooler.QDotIn
# Efficiencies
self.liqEnergy = self.compressor.WDot / self.liqSeparator.outletLiquid.flow.mDot
self.minLiqEnergy = self.liqSeparator.outletLiquid.state.b(self.TAmbient) \
- self.gasSource.outlet.state.b(self.TAmbient)
self.etaSecondLaw = self.minLiqEnergy / self.liqEnergy
def createStateDiagram(self):
lineNumbers = [(2, 3), (3, 4), (4, 5), (5, 6), (6, 7), (6, 10), (7, 8),
(8, 9)]
fluidLines = []
for i, j in lineNumbers:
fluidLines.append((self.fp[i - 1], self.fp[j - 1]))
self.phDiagram = self.cycleDiagram.draw(self.fluid, self.fp,
fluidLines)
def ArgonLiquefaction(self):
self.fluidName = "Argon"
self.pIn = (1, 'bar')
self.TIn = self.TAmbient
self.pHigh = (200, 'bar')
self.pLiquid = (1.2, 'bar')
self.compressor.modelType = 'T'
self.compressor.etaT = 0.8
self.compressor.dT = 50.
self.recuperator.eta = 0.99
self.cycleDiagram.defaultMaxP = False
self.cycleDiagram.maxPressure = (300, 'bar')
def NitrogenLiquefaction(self):
self.fluidName = "Nitrogen"
self.pIn = (1, 'bar')
self.TIn = self.TAmbient
self.pHigh = (300, 'bar')
self.pLiquid = (1.2, 'bar')
self.compressor.modelType = 'T'
self.compressor.etaT = 0.8
self.compressor.dT = 50.
self.recuperator.eta = 0.99
self.cycleDiagram.defaultMaxP = False
self.cycleDiagram.defaultMaxT = False
self.cycleDiagram.maxPressure = (500, 'bar')
self.cycleDiagram.maxTemperature = 350
class ChemostatDDE1(NumericalModel):
label = "DDE Chemostat (Example 1)"
description = F.ModelDescription(
"Chemostat model with delay differential equations (DDE) - Example 1",
show=True)
figure = F.ModelFigure(
src="BioReactors/img/ModuleImages/SimpleChemostat.png", show=False)
#1. ############ Inputs ###############
#1.1 Fields - Input values
# Parameters
k1 = F.Quantity(
default=10.53,
minValue=0,
maxValue=1e6,
label='k<sub>1</sub>',
description=
'yield coefficient related to substrate-1 consumption from bacteria-1')
k2 = F.Quantity(
default=28.6,
minValue=0,
maxValue=1e6,
label='k<sub>2</sub>',
description=
'yield coefficient related to substrate-2 production from bacteria-1')
k3 = F.Quantity(
default=1074.,
minValue=0,
maxValue=1e6,
label='k<sub>3</sub>',
description=
'yield coefficient related to substrate-2 consumption from bacteria-2')
s1_in = F.Quantity('Bio_MassConcentration',
default=(7.5, 'g/L'),
label='s<sub>1</sub><sup>in</sub>',
description='input substrate-1 concentration')
s2_in = F.Quantity('Bio_MassConcentration',
default=(75., 'g/L'),
label='s<sub>2</sub><sup>in</sub>',
description='input substrate-2 concentration')
a = F.Quantity(
'Fraction',
default=(0.5, '-'),
label='α',
description=
'proportion of organisms that are affected by the dilution rate D')
D = F.Quantity('Bio_TimeRate',
default=(0.89, '1/day'),
minValue=(0, '1/day'),
label='D',
description='dilution rate')
parametersFG = F.FieldGroup([s1_in, s2_in, k1, k2, k3, a, D],
label='Parameters')
# Parameters - specific growth rates
m1 = F.Quantity('Bio_TimeRate',
default=(1.20, '1/day'),
minValue=(0, '1/day'),
label='m<sub>1</sub>',
description='maximum specific growth rate of bacteria-1')
m2 = F.Quantity('Bio_TimeRate',
default=(0.74, '1/day'),
minValue=(0, '1/day'),
label='m<sub>2</sub>',
description='maximum specific growth rate of bacteria-2')
k_s1 = F.Quantity('Bio_MassConcentration',
default=(7.1, 'g/L'),
label='k<sub>s1</sub>',
description='half saturation constant of bacteria-1')
k_s2 = F.Quantity('Bio_MassConcentration',
default=(9.28, 'g/L'),
label='k<sub>s2</sub>',
description='half saturation constant of bacteria-2')
k_I = F.Quantity('Dimensionless',
default=(16., '-'),
label='k<sub>I</sub>',
description='constant in unit: [ sqrt( g/L ) ]')
parametersMuFG = F.FieldGroup([m1, m2, k_s1, k_s2, k_I],
label='Parameters - specific growth rates')
# Parameters - time delays
tau1 = F.Quantity(
'Bio_Time',
default=(10.1, 'day'),
minValue=(0, 'day'),
label='τ<sub>1</sub>',
description=
'time delay in conversion of the substrate-1 to viable biomass for bacteria-1'
)
tau2 = F.Quantity(
'Bio_Time',
default=(5.7, 'day'),
minValue=(0, 'day'),
label='τ<sub>2</sub>',
description=
'time delay in conversion of the substrate-2 to viable biomass for bacteria-2'
)
parametersTauFG = F.FieldGroup([tau1, tau2],
label='Parameters - time delay')
# historical initial conditions
s1_hist_vals = F.Quantity(
'Bio_MassConcentration',
default=(3., 'g/L'),
label='s<sub>1</sub><sup>[-τ<sub>1</sub>, 0]</sup>',
description='historical initial condition for substrate-1 concentration'
)
x1_hist_vals = F.Quantity(
'Bio_MassConcentration',
default=(0.5, 'g/L'),
label='x<sub>1</sub><sup>[-τ<sub>1</sub>, 0]</sup>',
description='historical initial condition for bacteria-1 concentration'
)
s2_hist_vals = F.Quantity(
'Bio_MassConcentration',
default=(15., 'g/L'),
label='s<sub>2</sub><sup>[-τ<sub>2</sub>, 0]</sup>',
description='historical initial condition for substrate-2 concentration'
)
x2_hist_vals = F.Quantity(
'Bio_MassConcentration',
default=(0.1, 'g/L'),
label='x<sub>2</sub><sup>[-τ<sub>2</sub>, 0]</sup>',
description='historical initial condition for bacteria-2 concentration'
)
parametersHistFG = F.FieldGroup(
[s1_hist_vals, x1_hist_vals, s2_hist_vals, x2_hist_vals],
label='Historical initial conditions')
inputValuesSG = F.SuperGroup(
[parametersMuFG, parametersFG, parametersTauFG, parametersHistFG],
label="Input values")
#1.2 Fields - Settings
tFinal = F.Quantity('Bio_Time',
default=(100, 'day'),
minValue=(0, 'day'),
maxValue=(1000, 'day'),
label='simulation time')
tPrint = F.Quantity('Bio_Time',
default=(0.1, 'day'),
minValue=(1e-5, 'day'),
maxValue=(100, 'day'),
label='print interval')
absTol = F.Quantity('Bio_Time',
default=(1e-12, 'day'),
minValue=(1e-16, 'day'),
maxValue=(1e-5, 'day'),
label='absolute tolerance')
relTol = F.Quantity('Bio_Time',
default=(1e-12, 'day'),
minValue=(1e-16, 'day'),
maxValue=(1e-3, 'day'),
label='relative tolerance')
solverFG = F.FieldGroup([tFinal, tPrint, absTol, relTol], label='Solver')
settingsSG = F.SuperGroup([solverFG], label='Settings')
#1.4 Model view
inputView = F.ModelView(ioType="input",
superGroups=[inputValuesSG, settingsSG],
autoFetch=True)
#2. ############ Results ###############
dataSeries = (
('time', F.Quantity('Bio_Time', default=(1, 'day'))),
('s1', F.Quantity('Bio_MassConcentration', default=(1, 'g/L'))),
('x1', F.Quantity('Bio_MassConcentration', default=(1, 'g/L'))),
('s2', F.Quantity('Bio_MassConcentration', default=(1, 'g/L'))),
('x2', F.Quantity('Bio_MassConcentration', default=(1, 'g/L'))),
)
plot = F.PlotView(
dataSeries,
label='Plot',
options={
'ylabel': None,
'title': 'Chemostat (DDE)'
},
)
table = F.TableView(dataSeries,
label='Table',
options={
'title':
'Title',
'formats':
['0.0000', '0.0000', '0.0000', '0.0000', '0.0000']
})
chartS1S2 = F.MPLPlot(label='Chart (s<sub>1</sub>, s<sub>2</sub>)')
chartX1X2 = F.MPLPlot(label='Chart (x<sub>1</sub>, x<sub>2</sub>)')
chartS1X1 = F.MPLPlot(label='Chart (s<sub>1</sub>, x<sub>1</sub>)')
chartS2X2 = F.MPLPlot(label='Chart (s<sub>2</sub>, x<sub>2</sub>)')
resultsVG = F.ViewGroup(
[plot, table, chartS1S2, chartX1X2, chartS1X1, chartS2X2],
label='Results')
resultsSG = F.SuperGroup([resultsVG], label="Results")
# 2.2 Equilibrium point
s1_eqpnt = F.Quantity(
'Bio_MassConcentration',
default=(0., 'g/L'),
label='s<sub>1</sub><sup>*</sup>',
description='substrate-1 concentration at the equilibrium point')
x1_eqpnt = F.Quantity(
'Bio_MassConcentration',
default=(0., 'g/L'),
label='x<sub>1</sub><sup>*</sup>',
description='bacteria-1 concentration at the equilibrium point')
s2_eqpnt = F.Quantity(
'Bio_MassConcentration',
default=(0., 'g/L'),
label='s<sub>2</sub><sup>*</sup>',
description='substrate-2 concentration at the equilibrium point')
x2_eqpnt = F.Quantity(
'Bio_MassConcentration',
default=(0., 'g/L'),
label='x<sub>2</sub><sup>*</sup>',
description='bacteria-1 concentration at the equilibrium point')
equilibriumPointFG = F.FieldGroup([s1_eqpnt, x1_eqpnt, s2_eqpnt, x2_eqpnt],
label='Equilibrium point')
equilibriumPointSG = F.SuperGroup([equilibriumPointFG],
label='Equilibrium point')
#2.1 Model view
resultView = F.ModelView(ioType="output",
superGroups=[resultsSG, equilibriumPointSG])
############# Page structure ########
modelBlocks = [inputView, resultView]
def __init__(self):
self.k1 = 10.53
self.k2 = 28.6
self.k3 = 1074
self.s1_in = 7.5
self.s2_in = 75
self.a = 0.5
self.m1 = 1.2
self.m2 = 0.74
self.k_s1 = 7.1
self.k_s2 = 9.28
self.k_I = 16
self.D = 0.85
self.tau1 = 2
self.tau2 = 7
self.s1_hist_vals = 2
self.x1_hist_vals = 0.1
self.s2_hist_vals = 10
self.x2_hist_vals = 0.05
def compute(self):
chemostatDDE = DM.ChemostatDDE1(self)
chemostatDDE.run(self)
res = chemostatDDE.getResults()
results = np.array(
[res['t'], res['s1'], res['x1'], res['s2'],
res['x2']]).transpose()
self.plot = results
self.table = results
chemostatDDE.plotS1S2(self.chartS1S2)
chemostatDDE.plotX1X2(self.chartX1X2)
chemostatDDE.plotS1X1(self.chartS1X1)
chemostatDDE.plotS2X2(self.chartS2X2)
self.s1_eqpnt = (chemostatDDE.equilibriumPoint[0], 'kg/m**3')
self.x1_eqpnt = (chemostatDDE.equilibriumPoint[1], 'kg/m**3')
self.s2_eqpnt = (chemostatDDE.equilibriumPoint[2], 'kg/m**3')
self.x2_eqpnt = (chemostatDDE.equilibriumPoint[3], 'kg/m**3')
class RankineCycle(HeatEngineCycle):
label = "Rankine cycle"
figure = F.ModelFigure(src="ThermoFluids/img/ModuleImages/RankineCycle.png", height = 300)
description = F.ModelDescription("Basic Rankine cycle used in power generation", show = True)
#================ Inputs ================#
#---------------- Fields ----------------#
# FieldGroup
pump = F.SubModelGroup(TC.Compressor, 'FG', label = 'Pump')
boiler = F.SubModelGroup(TC.Evaporator, 'FG', label = 'Boiler')
turbine = F.SubModelGroup(TC.Turbine, 'FG', label = 'Turbine')
condenser = F.SubModelGroup(TC.Condenser, 'FG', label = 'Condenser')
inputs = F.SuperGroup(['workingFluidGroup', pump, boiler, turbine, condenser], label = 'Cycle definition')
#---------------- Actions ----------------#
exampleAction = ServerAction("loadEg", label = "Examples", options = (
('SteamPlant', 'Typical steam power plant'),
('ORC1', 'Geothermal Organic Rankine Cycle with R134a'),
))
#--------------- Model view ---------------#
inputView = F.ModelView(ioType = "input", superGroups = [inputs, 'cycleDiagram', 'solver'],
actionBar = ActionBar([exampleAction]), autoFetch = True)
#================ Results ================#
#---------------- Energy flows -----------#
pumpPower = F.Quantity('Power', default = (1, 'kW'), label = 'pump power')
boilerHeat = F.Quantity('HeatFlowRate', default = (1, 'kW'), label = 'boiler heat in')
turbinePower = F.Quantity('HeatFlowRate', default = (1, 'kW'), label = 'turbine power')
condenserHeat = F.Quantity('HeatFlowRate', default = (1, 'kW'), label = 'condenser heat out')
flowFieldGroup = F.FieldGroup([pumpPower, boilerHeat, turbinePower, condenserHeat], label = 'Energy flows')
resultEnergy = F.SuperGroup([flowFieldGroup, 'efficiencyFieldGroup'], label = 'Energy')
resultView = F.ModelView(ioType = "output", superGroups = ['resultDiagrams', 'resultStates', resultEnergy, 'solverStats'])
#============= Page structure =============#
modelBlocks = [inputView, resultView]
#================ Methods ================#
def __init__(self):
self.SteamPlant()
def compute(self):
if (self.cycleTranscritical and
(self.boiler.computeMethod == 'dT' or self.boiler.computeMethod == 'Q')):
raise ValueError('In transcritical cycle, boiler super-heating cannot be used as input')
if (self.cycleSupercritical and
(self.condenser.computeMethod == 'dT' or self.condenser.computeMethod == 'Q')):
raise ValueError('In supercritical cycle condenser sub-cooling cannot be used as input')
# Connect components to points
self.initCompute(self.fluidName)
self.connectPorts(self.condenser.outlet, self.pump.inlet)
self.connectPorts(self.pump.outlet, self.boiler.inlet)
self.connectPorts(self.boiler.outlet, self.turbine.inlet)
self.connectPorts(self.turbine.outlet, self.condenser.inlet)
# Initial guess
for fl in self.flows:
fl.mDot = self.mDot
self.condenser.outlet.state.update_pq(self.pLow, 0)
# Cycle iterations
self.solver.run()
# Results
self.postProcess()
def computeCycle(self):
self.pump.compute(self.pHigh)
self.boiler.compute()
self.turbine.compute(self.pLow)
self.condenser.compute()
def postProcess(self):
super(RankineCycle, self).postProcess(self.TAmbient)
# Flows
self.pumpPower = self.mDot * self.pump.w
self.boilerHeat = self.mDot * self.boiler.qIn
self.turbinePower = - self.mDot * self.turbine.w
self.condenserHeat = - self.mDot * self.condenser.qIn
# Efficiencies
self.eta = (self.turbinePower - self.pumpPower) / self.boilerHeat
self.etaCarnot = 1 - self.condenser.outlet.state.T / self.boiler.outlet.state.T
self.etaSecondLaw = self.eta / self.etaCarnot
def SteamPlant(self):
self.fluidName = 'Water'
self.mDot = 25.
self.pHighMethod = 'P'
self.pHigh = (35, 'bar')
self.pLowMethod = 'P'
self.pLow = (0.5, 'bar')
self.boiler.computeMethod = 'T'
self.boiler.TOutlet = (400, 'degC')
self.turbine.eta = 0.85
self.condenser.computeMethod = 'Q'
self.condenser.qOutlet = 0
def ORC1(self):
self.fluidName = 'R134a'
self.mDot = (10, 'kg/min')
self.pHighMethod = 'T'
self.TEvaporation = (85, 'degC')
self.pLowMethod = 'T'
self.TCondensation = (40, 'degC')
self.boiler.computeMethod = 'Q'
self.boiler.qOutlet = 1
self.turbine.eta = 0.8
self.condenser.computeMethod = 'Q'
self.condenser.qOutlet = 0
class BiochemicalReactions(NumericalModel):
label = "Biochemical reactions"
description = F.ModelDescription(
"Solver for elementary biochemical reactions", show=True)
figure = F.ModelFigure(
src="BioReactors/img/ModuleImages/BiochemicalReactions.png",
show=False)
async = True
progressOptions = {'suffix': 's', 'fractionOutput': True}
#1. ############ Inputs ###############
#1.1 Fields - Input values
reactions = F.RecordArray(
(
('reactionEquation',
F.String('E + S <-> ES', label='Equation', inputBoxWidth=160)),
('rateConstnats',
F.String('0.0, 0.0', label='Rate constants', inputBoxWidth=100)),
('reactionName',
F.String('enzyme binding to a substrate',
label='Name',
inputBoxWidth=400,
showTooltip=True)),
),
toggle=False,
label='Reactions',
numRows=2,
description='Biochemical reactions',
)
reactionsFG = F.FieldGroup([reactions],
hideContainer=True,
label="Reactions")
reactionsSG = F.SuperGroup([reactionsFG], label="Reactions")
species = F.RecordArray(
(
('speciesVariable',
F.String('E', label='Variable', inputBoxWidth=70)),
('initialValue',
F.Quantity('Bio_MolarConcentration',
default=(1, 'M'),
minValue=(0, 'M'),
label='Initial value',
inputBoxWidth=75)),
('speciesName', F.String('enzyme', label='Name',
inputBoxWidth=270)),
),
toggle=False,
label='species',
numRows=4,
description='Species of the reactions',
)
speciesFG = F.FieldGroup([species], hideContainer=True, label="Species")
speciesSG = F.SuperGroup([speciesFG], label="Species")
#1.2 Fields - Settings
tFinal = F.Quantity('Time',
default=(0.0, 's'),
minValue=(0, 's'),
maxValue=(1000, 's'),
label='simulation time')
tPrint = F.Quantity('Time',
default=(0.0, 's'),
minValue=(1e-3, 's'),
maxValue=(100, 's'),
label='print interval')
solverFG = F.FieldGroup([tFinal, tPrint], label='Solver')
settingsSG = F.SuperGroup([solverFG], label='Settings')
#1.4 Model view
exampleAction = A.ServerAction(
"loadEg",
label="Examples",
options=(
('exampleMMK', 'Michaelis-Menten kinetics'),
('exampleMMKI', 'Michaelis-Menten kinetics with inhibition'),
))
inputView = F.ModelView(
ioType="input",
superGroups=[reactionsSG, speciesSG, settingsSG],
autoFetch=True,
actionBar=A.ActionBar([exampleAction]),
)
#2. ############ Results ###############
storage = F.HdfStorage(hdfFile=DM.dataStorageFilePath,
hdfGroup=DM.dataStorageDatasetPath)
dataSeries = (
('time', F.Quantity('Time', default=(1, 's'))),
('E', F.Quantity('Bio_MolarConcentration', default=(1, 'M'))),
)
plot = F.PlotView(dataSeries,
label='Plot',
useHdfStorage=True,
storage='storage')
table = F.TableView(
dataSeries,
label='Table',
options={'formats': ['0.000', '0.000', '0.000', '0.000']},
useHdfStorage=True,
storage='storage')
storageVG = F.ViewGroup([storage], show="false")
resultsVG = F.ViewGroup([plot, table], label='Results')
resultsSG = F.SuperGroup([resultsVG, storageVG], label='Results')
# 2.2 ODEs plot
odesPlot = F.MPLPlot(label='ODEs')
odesVG = F.ViewGroup([odesPlot], label='Ordinary differential equations')
odesSG = F.SuperGroup([odesVG], label='ODEs')
# 2.3 Results plot
chartPlot = F.MPLPlot(label='Chart')
chartPlotVG = F.ViewGroup([chartPlot], label='Chart')
chartPlotSG = F.SuperGroup([chartPlotVG], label='Chart')
#2.1 Model view
resultView = F.ModelView(ioType="output",
superGroups=[resultsSG, odesSG, chartPlotSG],
keepDefaultDefs=True)
############# Page structure ########
modelBlocks = [inputView, resultView]
def __init__(self):
self.exampleMMK()
def exampleMMK(self):
self.species[0] = ('E', 4.0, 'enzyme')
self.species[1] = ('S', 8.0, 'substrate')
self.species[2] = ('ES', 0.0, 'complex')
self.species[3] = ('P', 0.0, 'product')
self.reactions[0] = (
'E + S <=> ES', '2.0, 1.0',
'an enzyme binding to a substrate form an enzyme-substrate complex (reversible process)'
)
self.reactions[1] = (
'ES -> E + P', '1.5',
'an enzyme-substrate complex decomposition to a product and the enzyme'
)
self.tFinal = 20.0
self.tPrint = 0.01
def exampleMMKI(self):
self.species.resize(6)
self.species[0] = ('E', 4.0, 'enzyme')
self.species[1] = ('S', 8.0, 'substrate')
self.species[2] = ('ES', 0.0, 'enzyme-substrate complex')
self.species[3] = ('P', 0.0, 'product')
self.species[4] = ('I', 5.0, 'inhibitor')
self.species[5] = ('EI', 0.0, 'inactive enzyme-inhibitor complex')
self.reactions.resize(3)
self.reactions[0] = (
'E + S <=> ES', '2.0, 1.0',
'an enzyme binding to a substrate form an enzyme-substrate complex (reversible process)'
)
self.reactions[1] = (
'ES -> E + P', '1.5',
'an enzyme-substrate complex decomposition to a product and an enzyme'
)
self.reactions[2] = (
'E + I <=> EI', '2.0, 0.5',
'an inhibitor binding to the active site of an enzyme form an inactive enzyme-inhibitor complex (reversible processes)'
)
self.tFinal = 20.0
self.tPrint = 0.01
def computeAsync(self):
# Redefine some fields
self.redefineFileds()
# Create the model
model = DM.BiochemicalReactions(self)
# Tun simulation
model.prepareSimulation()
model.run(self)
# Show results
self.storage = model.resultStorage.simulationName
# Plot results
model.plotODEsTxt(self.odesPlot)
model.plotHDFResults(self.chartPlot)
def redefineFileds(self):
# Create tuples for species
speciesTuples = (('time', F.Quantity('Time', default=(1, 's'))), )
datasetColumns = ['t']
for itSpecies in self.species:
X = itSpecies[0] #species variable
speciesTuple = (('%s' % X,
F.Quantity('Bio_MolarConcentration',
default=(1, 'M'))), )
speciesTuples += speciesTuple
datasetColumns.append('%s' % X)
# Redefine Fields
redefinedStorage = F.HdfStorage(
hdfFile='BioReactors_SimulationResults.h5',
hdfGroup='/BiochemicalReactions',
datasetColumns=datasetColumns)
self.redefineField('storage', 'storageVG', redefinedStorage)
redefinedPlot = F.PlotView(speciesTuples,
label='Plot',
options={
'ylabel': 'concentration',
'title': ''
},
useHdfStorage=True,
storage='storage')
self.redefineField('plot', 'resultsVG', redefinedPlot)
redefinedTable = F.TableView(
speciesTuples,
label='Table',
options={'formats': ['0.000', '0.000', '0.000', '0.000']},
useHdfStorage=True,
storage='storage')
self.redefineField('table', 'resultsVG', redefinedTable)
class CylindricalBlockHeatExchanger(NumericalModel):
label = "Cylindrical heat exchanger"
figure = F.ModelFigure(
src="ThermoFluids/img/ModuleImages/HeatExchangerDesign.png",
show=False)
description = F.ModelDescription(
"""Model of heat exchanger made out of a solid cylindrical block, with
central channels for one of the fluids and a spiraling
channel around the block for the other fluid
""")
async = True
progressOptions = {'suffix': '%', 'fractionOutput': False}
#================ Inputs ================#
#---------------- Fields ----------------#
# Fields: geometry
blockGeom = F.SubModelGroup(BlockGeometry, 'FG', 'Geometry')
blockProps = F.SubModelGroup(BlockProperties, 'FG', 'Properties')
blockSG = F.SuperGroup([blockGeom, blockProps], label='Block')
# Fields: internal channels
primaryChannelsGeom = F.SubModelGroup(ChannelGroupGeometry,
'FG',
label='Primary channels')
secondaryChannelsGeom = F.SubModelGroup(ChannelGroupGeometry,
'FG',
label='Secondary channels')
primaryFlowIn = F.SubModelGroup(FluidFlowInput,
'FG',
label='Primary flow inlet')
secondaryFlowIn = F.SubModelGroup(FluidFlowInput,
'FG',
label='Secondary flow inlet')
internalChannelSG = F.SuperGroup([
primaryChannelsGeom, secondaryChannelsGeom, primaryFlowIn,
secondaryFlowIn
],
label='Channels')
# Fields: external channel
externalChannelGeom = F.SubModelGroup(ExternalChannelGeometry,
'FG',
label='Geometry')
externalFlowIn = F.SubModelGroup(IncompressibleSolutionFlowInput,
'incomSolFG',
label='Inlet flow')
externalChannelSG = F.SuperGroup([externalChannelGeom, externalFlowIn],
label='External channel')
# Fields: settings
fvSolverSettings = F.SubModelGroup(FiniteVolumeSolverSettings,
'FG',
label='Finite volume solver')
sectionResultsSettings = F.SubModelGroup(SectionResultsSettings,
'FG',
label='Section results plots')
settingsSG = F.SuperGroup([fvSolverSettings, sectionResultsSettings],
label='Settings')
#--------------- Model view ---------------#
inputView = F.ModelView(ioType="input",
superGroups=[
blockSG, internalChannelSG, externalChannelSG,
settingsSG
],
autoFetch=True)
#================ Results ================#
meshView = F.MPLPlot(label='Cross-section mesh')
crossSectionProfileView = F.MPLPlot(label='Cross-section profile')
longitudinalProfileView = F.MPLPlot(label='Longitudinal profile')
primaryChannelProfileView = F.MPLPlot(label='Primary channel profile')
secondaryChannelProfileView = F.MPLPlot(label='Secondary channel profile')
geometryVG = F.ViewGroup([
meshView, crossSectionProfileView, longitudinalProfileView,
primaryChannelProfileView, secondaryChannelProfileView
],
label='Geometry/Mesh')
geometrySG = F.SuperGroup([geometryVG], label='Geometry/mesh')
primaryFlowOut = F.SubModelGroup(FluidFlowOutput,
'FG',
label='Primary flow outlet')
secondaryFlowOut = F.SubModelGroup(FluidFlowOutput,
'FG',
label='Secondary flow outlet')
externalFlowOut = F.SubModelGroup(FluidFlowOutput,
'FG',
label='External flow outlet')
QDotChannels = F.SubModelGroup(HeatFlowChannels, 'FG', label='Heat flow')
resultSG = F.SuperGroup(
[primaryFlowOut, secondaryFlowOut, externalFlowOut, QDotChannels],
label='Results')
resultTable = F.TableView((
('xStart', F.Quantity('Length', default=(1, 'm'))),
('xEnd', F.Quantity('Length', default=(1, 'm'))),
('TPrimFluid', F.Quantity('Temperature', default=(1, 'degC'))),
('TPrimWall', F.Quantity('Temperature', default=(1, 'degC'))),
('RePrim', F.Quantity()),
('hConvPrim',
F.Quantity('HeatTransferCoefficient', default=(1, 'W/m**2-K'))),
('QDotPrim', F.Quantity('HeatFlowRate', default=(1, 'W'))),
('TSecFluid', F.Quantity('Temperature', default=(1, 'degC'))),
('TSecWall', F.Quantity('Temperature', default=(1, 'degC'))),
('ReSec', F.Quantity()),
('hConvSec',
F.Quantity('HeatTransferCoefficient', default=(1, 'W/m**2-K'))),
('QDotSec', F.Quantity('HeatFlowRate', default=(1, 'W'))),
('TExtFluid', F.Quantity('Temperature', default=(1, 'degC'))),
('TExtWall', F.Quantity('Temperature', default=(1, 'degC'))),
('ReExt', F.Quantity()),
('hConvExt',
F.Quantity('HeatTransferCoefficient', default=(1, 'W/m**2-K'))),
('QDotExt', F.Quantity('HeatFlowRate', default=(1, 'W'))),
),
label='Detailed results')
resultTPlot = F.PlotView((
('x', F.Quantity('Length', default=(1, 'm'))),
('TPrimFluid', F.Quantity('Temperature', default=(1, 'degC'))),
('TPrimWall', F.Quantity('Temperature', default=(1, 'degC'))),
('TSecFluid', F.Quantity('Temperature', default=(1, 'degC'))),
('TSecWall', F.Quantity('Temperature', default=(1, 'degC'))),
('TExtFluid', F.Quantity('Temperature', default=(1, 'degC'))),
('TExtWall', F.Quantity('Temperature', default=(1, 'degC'))),
),
label='Temperature plots')
resultQPlot = F.PlotView((
('x', F.Quantity('Length', default=(1, 'm'))),
('QDotPrim', F.Quantity('HeatFlowRate', default=(1, 'W'))),
('QDotSec', F.Quantity('HeatFlowRate', default=(1, 'W'))),
('QDotExt', F.Quantity('HeatFlowRate', default=(1, 'W'))),
),
label='Heat flow plots')
detailedResultVG = F.ViewGroup([resultTable, resultTPlot, resultQPlot],
label='Detailed results')
detailedResultSG = F.SuperGroup([detailedResultVG],
label='Detailed results')
sectionPlot1 = F.MPLPlot(label='Section 1')
sectionPlot2 = F.MPLPlot(label='Section 2')
sectionPlot3 = F.MPLPlot(label='Section 3')
sectionPlot4 = F.MPLPlot(label='Section 4')
sectionPlot5 = F.MPLPlot(label='Section 5')
sectionResultsVG = F.ViewGroup(
[sectionPlot1, sectionPlot2, sectionPlot3, sectionPlot4, sectionPlot5],
label='Section temperatures')
sectionResultsSG = F.SuperGroup([sectionResultsVG],
label='Section results')
resultView = F.ModelView(
ioType="output",
superGroups=[geometrySG, resultSG, detailedResultSG, sectionResultsSG])
############# Page structure ########
modelBlocks = [inputView, resultView]
############# Methods ###############
def __init__Internal(self):
self.blockGeom.diameter = (58.0, 'mm')
self.blockGeom.length = (0.8, 'm')
self.blockProps.divisionStep = (0.1, 'm')
self.blockProps.material = 'Aluminium6061'
self.primaryChannelsGeom.number = 3
self.primaryChannelsGeom.radialPosition = (7, 'mm')
self.primaryChannelsGeom.startingAngle = (0, 'deg')
self.primaryChannelsGeom.meshFineness = 4
self.primaryChannelsGeom.channelName = "PrimaryChannel"
self.primaryChannelsGeom.externalDiameter = (7.5, 'mm')
self.primaryChannelsGeom.sections[0] = (0.002, 0.2)
self.primaryChannelsGeom.sections[1] = (0.004, 0.1)
self.primaryChannelsGeom.sections[2] = (0.006, 0.1)
self.primaryChannelsGeom.sections[3] = (0.0065, 0.1)
self.primaryChannelsGeom.sections[4] = (0.007, 0.3)
self.secondaryChannelsGeom.number = 3
self.secondaryChannelsGeom.radialPosition = (17.5, 'mm')
self.secondaryChannelsGeom.startingAngle = (60, 'deg')
self.secondaryChannelsGeom.meshFineness = 4
self.secondaryChannelsGeom.channelName = "SecondaryChannel"
self.secondaryChannelsGeom.externalDiameter = (7.5, 'mm')
self.secondaryChannelsGeom.sections[0] = (0.002, 0.2)
self.secondaryChannelsGeom.sections[1] = (0.004, 0.1)
self.secondaryChannelsGeom.sections[2] = (0.006, 0.1)
self.secondaryChannelsGeom.sections[3] = (0.0065, 0.1)
self.secondaryChannelsGeom.sections[4] = (0.007, 0.3)
self.primaryFlowIn.fluidName = 'ParaHydrogen'
self.primaryFlowIn.flowRateChoice = 'm'
self.primaryFlowIn.mDot = (1, 'kg/h')
self.primaryFlowIn.T = (100, 'K')
self.primaryFlowIn.p = (1, 'bar')
self.secondaryFlowIn.fluidName = 'ParaHydrogen'
self.secondaryFlowIn.flowRateChoice = 'm'
self.secondaryFlowIn.mDot = (1, 'kg/h')
self.secondaryFlowIn.T = (100, 'K')
self.secondaryFlowIn.p = (1, 'bar')
self.externalFlowIn.solName = 'MEG'
self.externalFlowIn.solMassFraction = (50, '%')
self.externalFlowIn.flowRateChoice = 'V'
self.externalFlowIn.VDot = (3, 'm**3/h')
self.externalFlowIn.T = (80, 'degC')
self.externalFlowIn.p = (1, 'bar')
self.externalChannelGeom.widthAxial = (30, 'mm')
self.externalChannelGeom.heightRadial = (12, 'mm')
self.externalChannelGeom.coilPitch = (32, 'mm')
self.externalChannelGeom.meshFineness = 4
self.sectionResultsSettings.setTRange = False
self.sectionResultsSettings.Tmin = (100, 'K')
self.sectionResultsSettings.Tmax = (380, 'K')
def __init__(self):
self.blockGeom.diameter = (60.0, 'mm')
self.blockGeom.length = (1.0, 'm')
self.blockProps.divisionStep = (0.1, 'm')
self.blockProps.material = 'Aluminium6061'
self.primaryChannelsGeom.number = 4
self.primaryChannelsGeom.radialPosition = (10, 'mm')
self.primaryChannelsGeom.startingAngle = (0, 'deg')
self.primaryChannelsGeom.meshFineness = 3
self.primaryChannelsGeom.channelName = "PrimaryChannel"
self.primaryChannelsGeom.externalDiameter = (10, 'mm')
self.primaryChannelsGeom.sections[0] = (0.000, 0.2)
self.primaryChannelsGeom.sections[1] = (0.002, 0.2)
self.primaryChannelsGeom.sections[2] = (0.004, 0.2)
self.primaryChannelsGeom.sections[3] = (0.006, 0.2)
self.primaryChannelsGeom.sections[4] = (0.008, 0.2)
self.secondaryChannelsGeom.number = 6
self.secondaryChannelsGeom.radialPosition = (22.5, 'mm')
self.secondaryChannelsGeom.startingAngle = (60, 'deg')
self.secondaryChannelsGeom.meshFineness = 3
self.secondaryChannelsGeom.channelName = "SecondaryChannel"
self.secondaryChannelsGeom.externalDiameter = (7, 'mm')
self.secondaryChannelsGeom.sections[0] = (0.002, 0.2)
self.secondaryChannelsGeom.sections[1] = (0.003, 0.2)
self.secondaryChannelsGeom.sections[2] = (0.004, 0.2)
self.secondaryChannelsGeom.sections[3] = (0.005, 0.2)
self.secondaryChannelsGeom.sections[4] = (0.006, 0.2)
self.primaryFlowIn.fluidName = 'Ammonia'
self.primaryFlowIn.flowRateChoice = 'm'
self.primaryFlowIn.mDot = (50, 'kg/h')
self.primaryFlowIn.T = (400, 'K')
self.primaryFlowIn.p = (20, 'bar')
self.secondaryFlowIn.fluidName = 'Ammonia'
self.secondaryFlowIn.flowRateChoice = 'm'
self.secondaryFlowIn.mDot = (50, 'kg/h')
self.secondaryFlowIn.T = (400, 'K')
self.secondaryFlowIn.p = (20, 'bar')
self.externalFlowIn.solName = 'MPG'
self.externalFlowIn.solMassFraction = (50, '%')
self.externalFlowIn.flowRateChoice = 'V'
self.externalFlowIn.VDot = (0.5, 'm**3/h')
self.externalFlowIn.T = (20, 'degC')
self.externalFlowIn.p = (1, 'bar')
self.externalChannelGeom.widthAxial = (40, 'mm')
self.externalChannelGeom.heightRadial = (10, 'mm')
self.externalChannelGeom.coilPitch = (43, 'mm')
self.externalChannelGeom.meshFineness = 3
self.sectionResultsSettings.setTRange = False
self.sectionResultsSettings.Tmin = (200, 'K')
self.sectionResultsSettings.Tmax = (350, 'K')
def computeAsync(self):
# PreComputation
self.externalChannelGeom.compute(self.blockGeom.diameter)
self.primaryChannelsGeom.compute()
self.secondaryChannelsGeom.compute()
self.primaryFlowIn.compute()
self.secondaryFlowIn.compute()
self.externalFlowIn.compute()
# Validation
self.validateInputs()
# Create the mesh
mesher = HeatExchangerMesher()
mesher.create(self)
# Create channel calculator objects
solver = HeatExchangerSolver(self, mesher)
solver.createChannelCalculators(self)
# Produce geometry/mesh drawings
self.drawGeometry(mesher, solver)
solver.solve(self)
# Produce results
self.postProcess(mesher, solver)
def drawGeometry(self, mesher, solver):
# Draw the mesh
vertexCoords = mesher.mesh.vertexCoords
vertexIDs = mesher.mesh._orderedCellVertexIDs
triPlotMesh = tri.Triangulation(vertexCoords[0], vertexCoords[1],
np.transpose(vertexIDs))
self.meshView.triplot(triPlotMesh)
self.meshView.set_aspect('equal')
self.meshView.set_title('%d elements' %
len(mesher.mesh.cellCenters[0]))
# Draw the channels profiles
ticks = ticker.FuncFormatter(lambda x, pos: '{0:g}'.format(x * 1e3))
solver.primChannelCalc.plotGeometry(self.primaryChannelProfileView)
self.primaryChannelProfileView.set_xlabel('[m]')
self.primaryChannelProfileView.set_ylabel('[mm]')
self.primaryChannelProfileView.yaxis.set_major_formatter(ticks)
solver.secChannelCalc.plotGeometry(self.secondaryChannelProfileView)
self.secondaryChannelProfileView.set_xlabel('[m]')
self.secondaryChannelProfileView.set_ylabel('[mm]')
self.secondaryChannelProfileView.yaxis.set_major_formatter(ticks)
#Draw the cross-section profile
crossSectionProfile = HeatExchangerCrossSectionProfile()
crossSectionProfile.addBlock(self.blockGeom)
crossSectionProfile.addChannels(self.primaryChannelsGeom)
crossSectionProfile.addChannels(self.secondaryChannelsGeom)
crossSectionProfile.plotGeometry(self.crossSectionProfileView)
self.crossSectionProfileView.set_xlabel('[mm]')
self.crossSectionProfileView.set_ylabel('[mm]')
self.crossSectionProfileView.xaxis.set_major_formatter(ticks)
self.crossSectionProfileView.yaxis.set_major_formatter(ticks)
#Draw the longitudinal profile
longitudinalProfile = HeatExchangerLongitudinalProfile()
longitudinalProfile.addBlock(self.blockGeom)
longitudinalProfile.addExternalChannel(self.externalChannelGeom)
longitudinalProfile.plotGeometry(self.longitudinalProfileView)
self.longitudinalProfileView.set_xlabel('[mm]')
self.longitudinalProfileView.set_ylabel('[mm]')
self.longitudinalProfileView.xaxis.set_major_formatter(ticks)
self.longitudinalProfileView.yaxis.set_major_formatter(ticks)
def postProcess(self, mesher, solver):
# Get the value for the outlet conditions
self.primaryFlowOut.compute(fState=solver.primChannelStateOut,
mDot=self.primaryFlowIn.mDot)
self.secondaryFlowOut.compute(fState=solver.secChannelStateOut,
mDot=self.secondaryFlowIn.mDot)
self.externalFlowOut.compute(fState=solver.extChannelStateOut,
mDot=self.externalFlowIn.mDot)
self.QDotChannels.QDotPrimaryChannels = self.primaryFlowIn.mDot * \
abs(self.primaryFlowOut.fState.h - self.primaryFlowIn.fState.h)
self.QDotChannels.QDotSecondaryChannels = self.secondaryFlowIn.mDot * \
abs(self.secondaryFlowOut.fState.h - self.secondaryFlowIn.fState.h)
self.QDotChannels.QDotExternalChannel = self.externalFlowIn.mDot * \
abs(self.externalFlowOut.fState.h - self.externalFlowIn.fState.h)
# Fill the table with values
self.resultTable.resize(solver.numSectionSteps)
self.resultTPlot.resize(solver.numSectionSteps)
self.resultQPlot.resize(solver.numSectionSteps)
for i in range(solver.numSectionSteps):
self.resultTable[i] = (
solver.primChannelCalc.sections[i].xStart,
solver.primChannelCalc.sections[i].xEnd,
solver.primChannelCalc.sections[i].fState.T,
solver.primChannelCalc.sections[i].TWall,
solver.primChannelCalc.sections[i].Re,
solver.primChannelCalc.sections[i].hConv,
abs(solver.primChannelCalc.sections[i].QDotWall),
solver.secChannelCalc.sections[i].fState.T,
solver.secChannelCalc.sections[i].TWall,
solver.secChannelCalc.sections[i].Re,
solver.secChannelCalc.sections[i].hConv,
abs(solver.secChannelCalc.sections[i].QDotWall),
solver.extChannelCalc.sections[i].fState.T,
solver.extChannelCalc.sections[i].TWall,
solver.extChannelCalc.sections[i].Re,
solver.extChannelCalc.sections[i].hConv,
abs(solver.extChannelCalc.sections[i].QDotWall),
)
self.resultTPlot[i] = (
(solver.primChannelCalc.sections[i].xStart +
solver.primChannelCalc.sections[i].xEnd) / 2,
solver.primChannelCalc.sections[i].fState.T,
solver.primChannelCalc.sections[i].TWall,
solver.secChannelCalc.sections[i].fState.T,
solver.secChannelCalc.sections[i].TWall,
solver.extChannelCalc.sections[i].fState.T,
solver.extChannelCalc.sections[i].TWall,
)
self.resultQPlot[i] = (
(solver.primChannelCalc.sections[i].xStart +
solver.primChannelCalc.sections[i].xEnd) / 2,
abs(solver.primChannelCalc.sections[i].QDotWall),
abs(solver.secChannelCalc.sections[i].QDotWall),
abs(solver.extChannelCalc.sections[i].QDotWall),
)
def validateInputs(self):
self.validateChannels(self.primaryChannelsGeom, "primary")
self.validateChannels(self.secondaryChannelsGeom, "secondary")
if self.externalChannelGeom.widthAxial > self.externalChannelGeom.coilPitch:
raise ValueError(
'The coil pitch of the external channel is less than the axial width.'
)
def validateChannels(self, channelsGeom, channelsName):
if self.blockGeom.diameter <= channelsGeom.externalDiameter:
raise ValueError(
'The block diameter is less than the external diameter of the {0} channels.'
.format(channelsName))
if self.blockGeom.diameter / 2. <= (
channelsGeom.radialPosition +
channelsGeom.externalDiameter / 2.):
raise ValueError(
'The radial position of the {0} channels is too big (the channels are outside of the block).'
.format(channelsName))
if self.blockGeom.length != channelsGeom.length:
raise ValueError(
'The length of the block is different from the length of the {0} channels.'
.format(channelsName))
i = 0
for section in channelsGeom.sections:
if (section['length'] < self.blockProps.divisionStep):
raise ValueError(
'The axial division step of the block is greater than the {0}-th section of the {1} channels'
.format(i, channelsName))
if self.isDividedExactly(section['length'],
self.blockProps.divisionStep) == False:
raise ValueError(
'The axial division step of the block does not divide the {0}-th section of the {1} channels in equal parts.'
.format(i, channelsName))
i += 1
def isDividedExactly(self, a, b):
bigE = 1e6
return int(a * bigE) % int(b * bigE) == 0
class ChemostatSimple(NumericalModel):
label = "Simple Chemostat"
description = F.ModelDescription(
"Simple chemostat model with ordinary differential equations (ODE)",
show=True)
figure = F.ModelFigure(
src="BioReactors/img/ModuleImages/SimpleChemostat.png", show=False)
async = True
progressOptions = {'suffix': 'day', 'fractionOutput': True}
#1. ############ Inputs ###############
#1.1 Fields - Input values
S_in = F.Quantity('Bio_MassConcentration',
default=(5, 'g/L'),
minValue=(0, 'g/L'),
label='S<sub>in</sub>',
description='input substrate concentration')
X_in = F.Quantity('Bio_MassConcentration',
default=(0.0, 'g/L'),
minValue=(0, 'g/L'),
label='X<sub>in</sub>',
description='input microorganisms concentration')
m = F.Quantity(
'Bio_TimeRate',
default=(3, '1/day'),
minValue=(0, '1/day'),
label='m',
description='maximum specific growth rate of the microorganisms')
K = F.Quantity('Bio_MassConcentration',
default=(3.7, 'g/L'),
minValue=(0, 'g/L'),
label='K',
description='half saturation constant')
gamma = F.Quantity(default=0.6,
minValue=0,
maxValue=1.0,
label='γ',
description='yield coefficient of microorganisms')
D_vals = F.RecordArray((
('time',
F.Quantity('Bio_Time',
default=(20, 'day'),
minValue=(0, 'day'),
label='Duration')),
('D',
F.Quantity('Bio_TimeRate',
default=(1, '1/day'),
minValue=(0, '1/day'),
label='D')),
),
label='D',
description='dilution (or washout) rate')
parametersFG = F.FieldGroup([S_in, X_in, m, K, gamma, D_vals],
label="Parameters")
S0 = F.Quantity('Bio_MassConcentration',
default=(0, 'g/L'),
minValue=0,
label='S<sub>0</sub>',
description='initial substrate concentration')
X0 = F.Quantity('Bio_MassConcentration',
default=(0.5, 'g/L'),
minValue=0,
label='X<sub>0</sub>',
description='initial microorganisms concentration')
initialValuesFG = F.FieldGroup([S0, X0], label="Initial values")
inputValuesSG = F.SuperGroup([parametersFG, initialValuesFG],
label="Input values")
#1.2 Fields - Settings
tFinal = F.Quantity('Bio_Time',
default=(100, 'day'),
minValue=(0, 'day'),
maxValue=(1000, 'day'),
label='simulation time')
tPrint = F.Quantity('Bio_Time',
default=(0.1, 'day'),
minValue=(1e-5, 'day'),
maxValue=(100, 'day'),
label='print interval')
solverFG = F.FieldGroup([tFinal, tPrint], label='Solver')
settingsSG = F.SuperGroup([solverFG], label='Settings')
#1.4 Model view
inputView = F.ModelView(ioType="input",
superGroups=[inputValuesSG, settingsSG],
autoFetch=True)
#2. ############ Results ###############
storage = F.HdfStorage(hdfFile=DM.dataStorageFilePath,
hdfGroup=DM.dataStorageDatasetPath)
dataSeries = (('time', F.Quantity('Bio_Time', default=(1, 'day'))),
('S', F.Quantity('Bio_MassConcentration',
default=(1, 'g/L'))),
('X', F.Quantity('Bio_MassConcentration',
default=(1, 'g/L'))),
('D', F.Quantity('Bio_TimeRate', default=(1, '1/day'))))
plot = F.PlotView(dataSeries,
label='Plot',
options={'ylabel': None},
useHdfStorage=True,
storage='storage')
table = F.TableView(dataSeries,
label='Table',
options={
'title': 'Simple Chemostat',
'formats': ['0.000', '0.000', '0.000', '0.000']
},
useHdfStorage=True,
storage='storage')
resultsVG = F.ViewGroup([plot, table], label='Results')
storageVG = F.ViewGroup([storage], show="false")
resultsSG = F.SuperGroup([resultsVG, storageVG])
#2.1 Model view
resultView = F.ModelView(ioType="output", superGroups=[resultsSG])
############# Page structure ########
modelBlocks = [inputView, resultView]
def computeAsync(self):
# Create the model
chemostat = DM.ChemostatSimple(self)
# Run simulation
chemostat.prepareSimulation()
chemostat.run(self)
# Show results
self.storage = chemostat.resultStorage.simulationName