def check_oxygen_correction(self, data):
fName = 'oxygen_correction'
vd.xRequired(data, fName, fName)
value = data[fName]
vd.xString(value, fName)
sampling_options = ["yes", "no"]
vd.xChoice(value, sampling_options, fName)
def check_emission_units(self, data):
fName = 'emission_units'
vd.xRequired(data, fName, fName)
value = data[fName]
vd.xString(value, fName)
unit_options = ["ppmv", "mg/Nm3", "mg/Sm3"]
vd.xChoice(value, unit_options, fName)
def check_loss_radiation(self, data):
fName = 'loss_radiation'
vd.xRequired(data, fName, fName)
value = data[fName]
vd.xNumber(value, fName)
vd.xGrtThanEq(value, 0, fName)
vd.xLessThanEq(value, 100, fName)
def check_d_basis(self, data):
fName = 'd_basis'
vd.xRequired(data, fName, fName)
value = data[fName]
vd.xString(value, fName)
calculation_options = ["calculated", "manual"]
vd.xChoice(value, calculation_options, fName)
def check_Pair(self, data):
fName = 'Pair'
vd.xRequired(data, fName, fName)
value = data[fName]
vd.xNumber(value, fName)
vd.xDim(value, ['pressure'], fName)
vd.xGrtThanEq(value, 0, fName)
def check_qm(self, data):
fName = 'qm'
vd.xRequired(data, fName, fName)
value = data[fName]
vd.xNumber(value, fName)
vd.xGrtThanEq(value, 0, fName)
vd.xDim(value, ['massflow'], fName)
def check_LHV(self, data):
fName = 'LHV'
vd.xRequired(data, fName, fName)
value = data[fName]
vd.xNumber(value, fName)
vd.xGrtThan(value, 0, fName)
vd.xDim(value, ['specificEnergy'], fName)
def check_A(self, data):
fName = 'A'
vd.xRequired(data, fName, fName)
value = data[fName]
vd.xNumber(value, fName)
vd.xDim(value, ['area'], fName)
vd.xGrtThan(value, 0, fName)
def check_h(self, data):
fName = 'h'
vd.xRequired(data,fName,fName)
value = data[fName]
vd.xNumber(value, fName)
vd.xGrtThanEq(value, 0, fName)
vd.xDim(value, ['length','length_mili'], fName)
def check_cell_range(self, data):
fName = 'cell_range'
vd.xRequired(data,fName,fName)
value = data[fName]
vd.xString(value, fName)
cell_range_options = ["L","M","H"]
vd.xChoice(value, cell_range_options, fName)
def check_Ncell_basis(self, data):
fName = 'Ncell_basis'
vd.xRequired(data,fName,fName)
value = data[fName]
vd.xString(value, fName)
Ncell_basis_options = ["manual","max_possible"]
vd.xChoice(value, Ncell_basis_options, fName)
def check_D_basis(self, data):
fName = 'D_basis'
vd.xRequired(data, fName, fName)
value = data[fName]
vd.xString(value, fName)
D_basis_options = ["inner", "outer"]
vd.xChoice(value, D_basis_options, fName)
def check_Orientation(self, data):
fName = 'Orientation'
vd.xRequired(data, fName, fName)
value = data[fName]
vd.xString(value, fName)
Orientation_options = ["horizontal", "vertical"]
vd.xChoice(value, Orientation_options, fName)
def check_Shape(self, data):
fName = 'Shape'
vd.xRequired(data, fName, fName)
value = data[fName]
vd.xString(value, fName)
Shape_options = ["cylindrical", "spherical"]
vd.xChoice(value, Shape_options, fName)
def check_R(self, data):
fName = 'R'
vd.xRequired(data, fName, fName)
value = data[fName]
vd.xNumber(value, fName)
vd.xGrtThan(value, 0, fName)
vd.xDim(value, ['length'], fName)
def check_calculation_option(self, data):
fName = 'calculation_option'
vd.xRequired(data,fName,fName)
value = data[fName]
vd.xString(value, fName)
calculation_options = ["NPS","d","D"]
vd.xChoice(value, calculation_options, fName)
def check_K(self, data):
fName = 'K'
vd.xRequired(data, fName, fName)
value = data[fName]
vd.xNumber(value, fName)
vd.xGrtThan(value, 0, fName)
vd.xDim(value, ['intensity'], fName)
def check_schedule(self, data):
fName = 'Schedule'
vd.xRequired(data,fName,fName)
value = data[fName]
vd.xString(value, fName)
schedule_options= ['5', '10', '20', '30', '40', '60', '80', '100', '120', '140', '160', 'STD', 'XS', 'XXS', '5S', '10S', '40S', '80S']
vd.xChoice(value, schedule_options, fName)
def check_MW(self, data):
fName = 'MW'
vd.xRequired(data, fName, fName)
value = data[fName]
vd.xNumber(value, fName)
vd.xGrtThan(value, 0, fName)
vd.xDim(value, ['molecularMass'], fName)
def check_Qout(self, data):
fName = 'Qout'
vd.xRequired(data,fName,fName)
value = data[fName]
vd.xNumber(value, fName)
vd.xDim(value,['flow'],fName)
vd.xGrtThan(value, 0, fName)
def check_Uinf(self, data):
fName = 'Uinf'
vd.xRequired(data, fName, fName)
value = data[fName]
vd.xNumber(value, fName)
vd.xGrtThan(value, 0, fName)
vd.xDim(value, ['speed'], fName)
def check_sizing_basis(self, data):
fName = 'sizing_basis'
vd.xRequired(data,fName,fName)
value = data[fName]
vd.xString(value, fName)
sizing_basis_options = ["buffer_time", "switching_frequency"]
vd.xChoice(value, sizing_basis_options, fName)
def check_flue_as(self, data):
fName = 'flue_as'
vd.xRequired(data, fName, fName)
value = data[fName]
vd.xString(value, fName)
fuel_as_options = ["mole_per_fuelmole", "mass_per_fuelmass"]
vd.xChoice(value, fuel_as_options, fName)
def check_sampling_basis(self, data):
fName = 'sampling_basis'
vd.xRequired(data, fName, fName)
value = data[fName]
vd.xString(value, fName)
sampling_basis_options = ["wet", "dry"]
vd.xChoice(value, sampling_basis_options, fName)
def check_RH(self, data):
fName = 'RH'
vd.xRequired(data, fName, fName)
value = data[fName]
vd.xNumber(value, fName)
vd.xGrtThanEq(value, 0, fName)
vd.xLessThanEq(value, 100, fName)
def check_composition_type(self, data):
fName = 'composition_type'
vd.xRequired(data, fName, fName)
value = data[fName]
vd.xString(value, fName)
composition_type_options = ["mole_percent", "mass_percent"]
vd.xChoice(value, composition_type_options, fName)
def check_specie(self, data):
fName = 'specie'
vd.xRequired(data, fName, fName)
value = data[fName]
vd.xString(value, fName)
specie_options = ["NOx", "SOx", "CO", "Other"]
vd.xChoice(value, specie_options, fName)
def check_mixture(self, data):
if ('kZ_basis' not in data):
return
if (data['kZ_basis']['_val'] != 'B'):
return
fName = 'material'
vd.xRequired(data, fName, fName)
def check_k2(self, data):
if ('kZ_basis' not in data):
return
if (data['kZ_basis']['_val'] != 'A'):
return
fName = 'k2'
vd.xRequired(data, fName, fName)
value = data[fName]
vd.xNumber(value, fName)
vd.xGrtThan(value, 0, fName)
def check_Tapproach(self, data):
if ('interstage_cooling' not in data):
return
if (data['interstage_cooling']['_val'] == 'No'):
return
fName = 'Tapproach'
vd.xRequired(data, fName, fName)
value = data[fName]
vd.xNumber(value, fName)
vd.xGrtThan(value, 0, fName)
