4.7. emission_costs module

emission_costs.calc_emission_costs(settings, inv_df, costs_df, id_cols)

Parameters:

settings: The SetInputs class.

inv_df: A DataFrame of emission inventories.

costs_df: A DataFrame based on one of the output cost reports.

id_cols: A List of the identifying columns to use as keys for the inventory dictionary that is created in function.

Return:

A DataFrame of emission-related pollution (damage) costs (inventory times cost factor).

emission_costs.get_criteria_cost_factors(settings, calendar_year, reg_class, fuel_type, discrate, cap_dict)

Note:

This function reads a dictionary of emission cost factors and returns those for the max year <= the passed year.

Parameters:

settings: The SetInputs class.

calendar_year: The year for which $/ton values are needed. reg_class: The reg class for which $/ton values are needed. fuel_type: The fuel type for which $/ton values are needed. discrate: The criteria air pollutant discount rate series to retrieve.

Return:

6 values - the PM25, NOx and SO2 emission cost factors (dollars/ton) for each of two different sources (tailpipe & upstream).

emission_costs.get_scc_cost_factors(settings, year)

Note:

This function reads a dictionary of social cost of GHG cost factors and returns those for the passed year.

Parameter:

settings: The SetInputs class.

year: The calendar year for which emission cost factors are needed.

Return:

12 values - the CO2, CH4 and N2O emission cost factors (dollars/ton) for each of 4 different discount rate/estimation streams.