Running exhaust emissions factors for buses from Brazil (CETESB)

Source: R/ef_brazil_cetesb.R

Returns a vector or data.table of emission factors for buses based on estimates from the Environment Company of Sao Paulo, Brazil (CETESB) 2019. Emission factor estimates are expressed in units 'g/km'.

ef_brazil_cetesb(pollutant, veh_type, model_year, as_list = TRUE)

Arguments

pollutant

character. Pollutants "CH4", "CO2", "PM10", "N2O", "NOx", "NO2", "NO", "RCHO", "ETOH" "KML" (Vehicle Kilometers Traveled), "FC" (Fuel Consumption), "gD/KWH" (grams of Diesel per kWh), "gCO2/KWH" (grams of CO2 per per kWh), "CO", "HC" (Total Hydrocarbon), "NMHC" (Non-Methane Hydrocarbon), "FS"(Fuel Sales) and "NH3".

veh_type

character. Vehicle categories by fuel: "BUS_URBAN_D", "BUS_MICRO_D", "BUS_COACH_D" and "BUS_ARTIC_D".

model_year

numeric. Vehicle model year. Supports model_year from 1960 to 2020.

as_list

logical. If TRUE (default), the function returns the output in a list format. If FALSE, the output is returned in a data.table format.

Value

data.table. Emission factors in units 'g/km' by model_year.

Details

The new convention for vehicles names are translated from CETESB report:

vehicledescription
BUS_URBAN_DUrban Bus Diesel (5perc bio-diesel)
BUS_MICRO_DMicro Urban Bus Diesel (5perc bio-diesel)
BUS_COACH_DCoach (inter-state) Bus Diesel (5perc bio-diesel)
BUS_ARTIC_DArticulated Urban Bus Diesel (5perc bio-diesel)

The percentage varies of biofuels varies by law.

These emission factors are not exactly the same as the report of CETESB.

  1. In this emission factors, there is also NO and NO2 based on split by published in the EMEP/EEA air pollutant emission inventory guidebook.

  2. Also, the emission factors were extended till 50 years of use, repeating the oldest value.

See also

Other Emission factor model: ef_europe_emep(), ef_scaled_euro(), ef_usa_emfac(), ef_usa_moves(), emi_europe_emep_wear()

Examples

df <- ef_brazil_cetesb(
          pollutant = c("CO","PM10","CO2","CH4","NOx"),
          veh_type = "BUS_URBAN_D",
          model_year = 2015,
          as_list = TRUE)