This function creates a list of scaled functions of emission factors. A scaled emission factor which at a speed of the driving cycle (SDC) gives a desired value.

ef_ldv_scaled(df, dfcol, SDC = 34.12, v, t = "4S", cc, f, eu, p)

Arguments

df

deprecated

dfcol

Column of the dataframe with the local emission factors eg df$dfcol

SDC

Speed of the driving cycle

v

Category vehicle: "PC", "LCV", "Motorcycle" or "Moped

t

Sub-category of of vehicle: PC: "ECE_1501", "ECE_1502", "ECE_1503", "ECE_1504" , "IMPROVED_CONVENTIONAL", "OPEN_LOOP", "ALL", "2S" or "4S". LCV: "4S", Motorcycle: "2S" or "4S". Moped: "2S" or "4S"

cc

Size of engine in cc: PC: "<=1400", ">1400", "1400_2000", ">2000", "<=800", "<=2000". Motorcycle: ">=50" (for "2S"), "<=250", "250_750", ">=750". Moped: "<=50". LCV : "<3.5" for gross weight.

f

Type of fuel: "G", "D", "LPG" or "FH" (Full Hybrid: starts by electric motor)

eu

Euro standard: "PRE", "I", "II", "III", "III+DPF", "IV", "V", "VI", "VIc"

p

Pollutant: "CO", "FC", "NOx", "HC" or "PM". If your pollutant dfcol is based on fuel, use "FC", if it is based on "HC", use "HC".

Value

A list of scaled emission factors g/km

Details

This function calls "ef_ldv_speed" and calculate the specific k value, dividing the local emission factor by the respective speed emissions factor at the speed representative of the local emission factor, e.g. If the local emission factors were tested with the FTP-75 test procedure, SDC = 34.12 km/h.

Note

The length of the list should be equal to the name of the age categories of a specific type of vehicle. Thanks to Glauber Camponogara for the help.

See also

ef_ldv_seed

Examples

{
CO <- ef_cetesb(p = "CO", veh = "PC_FG", full = TRUE)
lef <- ef_ldv_scaled(dfcol = CO$CO,
                     v = "PC",
                     t = "4S",
                     cc = "<=1400",
                     f = "G",
                     eu = CO$EqEuro_PC,
                     p = "CO")
length(lef)
ages <- c(1, 10, 20, 30, 40)
EmissionFactors(do.call("cbind",
   lapply(ages, function(i) {
       data.frame(i = lef[[i]](1:100))
}))) -> df
names(df) <- ages
colplot(df)
}