RCAIDE.Library.Methods.Emissions.Chemical_Reactor_Network_Method.build_CRN_EI_surrogates

build_CRN_EI_surrogates

build_CRN_EI_surrogates(emissions)

Builds surrogate models for emission indices using Chemical Reactor Network (CRN) training data.

Parameters:

emissions (Data) –

Container of emission data and surrogate models

• surrogatesData

  Container for surrogate models

• trainingData

  Training data container

  • pressurendarray

    Array of pressure values [Pa]

  • temperaturendarray

    Array of temperature values [K]

  • air_mass_flowratendarray

    Array of air mass flow rates [kg/s]

  • fuel_to_air_rationdarray

    Array of fuel-to-air ratios [-]

  • EI_CO2ndarray

    CO2 emission index training data [kg_CO2/kg_fuel]

  • EI_COndarray

    CO emission index training data [kg_CO/kg_fuel]

  • EI_H2Ondarray

    H2O emission index training data [kg_H2O/kg_fuel]

  • EI_NOndarray

    NO emission index training data [kg_NO/kg_fuel]

  • EI_NO2ndarray

    NO2 emission index training data [kg_NO2/kg_fuel]

Return type:

Updates the emissions.surrogates Data structure with interpolation functions

Notes

Creates RegularGridInterpolator objects for each emission species using the training data. The interpolators are stored in the emissions.surrogates Data structure.

The surrogate models interpolate emission indices based on:

• Pressure

• Temperature

• Air mass flow rate

• Fuel-to-air ratio

Extra modules required

• scipy.interpolate

Major Assumptions

• Linear interpolation is sufficient between training points

See also

RCAIDE.Library.Methods.Emissions.Chemical_Reactor_Network_Method.train_CRN_EI_surrogates, RCAIDE.Library.Methods.Emissions.Chemical_Reactor_Network_Method.evaluate_CRN_emission_indices