vein (version 1.1.3)

ef_ldv_cold: Cold-Start Emissions factors for Light Duty Vehicles

Description

ef_ldv_cold returns speed functions or data.frames which depends on ambient temperature average speed. The emission factors comes from the guidelines EMEP/EEA air pollutant emission inventory guidebook http://www.eea.europa.eu/themes/air/emep-eea-air-pollutant-emission-inventory-guidebook

Usage

ef_ldv_cold(
  v = "LDV",
  ta,
  cc,
  f,
  eu,
  p,
  k = 1,
  show.equation = FALSE,
  speed,
  fcorr = rep(1, 8)
)

Value

an emission factor function which depends of the average speed V and ambient temperature. g/km

Arguments

v

Character; Category vehicle: "LDV"

ta

Numeric vector or data.frame; Ambient temperature. Monthly mean can be used. When ta is a data.frame, one option is that the number of rows should be the number of rows of your Vehicles data.frame. This is convenient for top-down approach when each simple feature can be a polygon, with a monthly average temperature for each simple feature. In this case, the number of columns can be the 12 months.

cc

Character; Size of engine in cc: "<=1400", "1400_2000" or ">2000"

f

Character; Type of fuel: "G", "D" or "LPG"

eu

Character or data.frame of Characters; Euro standard: "PRE", "I", "II", "III", "IV", "V", "VI" or "VIc". When 'eu' is a data.frame and 'ta' is also a data.frame both has to have the same number of rows. For instance, When you want that each simple feature or region has a different emission standard.

p

Character; Pollutant: "CO", "FC", "NOx", "HC" or "PM"

k

Numeric; Multiplication factor

show.equation

Option to see or not the equation parameters

speed

Numeric; Speed to return Number of emission factor and not a function.

fcorr

Numeric; Correction by fuel properties by euro technology. See fuel_corr. The order from first to last is "PRE", "I", "II", "III", "IV", "V", VI, "VIc". Default is 1

See Also

fuel_corr

Examples

if (FALSE) {
ef1 <- ef_ldv_cold(ta = 15, cc = "<=1400", f ="G", eu = "PRE", p = "CO",
show.equation = TRUE)
ef1(10)
speed <- Speed(10)
ef_ldv_cold(ta = 15, cc = "<=1400", f ="G", eu = "PRE", p = "CO", speed = speed)
# lets create a matrix of ef cold at different speeds and temperatures
te <- -50:50
lf <- sapply(1:length(te), function(i){
ef_ldv_cold(ta = te[i], cc = "<=1400", f ="G", eu = "I", p = "CO", speed = Speed(0:120))
})
filled.contour(lf, col= cptcity::lucky())
euros <- c("V", "V", "IV", "III", "II", "I", "PRE", "PRE")
ef_ldv_cold(ta = 10, cc = "<=1400", f ="G", eu = euros, p = "CO", speed = Speed(0))
lf <-  ef_ldv_cold(ta = 10, cc = "<=1400", f ="G", eu = euros, p = "CO", speed = Speed(0:120))
dt <- matrix(rep(2:25,5), ncol = 12) # 12 months
ef_ldv_cold(ta = dt, cc = "<=1400", f ="G", eu = "I", p = "CO", speed = Speed(0))
ef_ldv_cold(ta = dt, cc = "<=1400", f ="G", eu = euros, p = "CO", speed = Speed(34))
euros2 <- c("V", "V", "V", "IV", "IV", "IV", "III", "III")
dfe <- rbind(euros, euros2)
ef_ldv_cold(ta = 10, cc = "<=1400", f ="G", eu = dfe, p = "CO", speed = Speed(0))

ef_ldv_cold(ta = dt[1:2,], cc = "<=1400", f ="G", eu = dfe, p = "CO", speed = Speed(0))
# Fuel corrections
fcorr <- c(0.5,1,1,1,0.9,0.9,0.9,0.9)
ef1 <- ef_ldv_cold(ta = 15, cc = "<=1400", f ="G", eu = "PRE", p = "CO",
show.equation = TRUE, fcorr = fcorr)
ef_ldv_cold(ta = 10, cc = "<=1400", f ="G", eu = dfe, p = "CO", speed = Speed(0),
fcorr = fcorr)
}