vein (version 1.1.3)

emis_cold: Estimation of cold start emissions hourly for the of the week

Description

emis_cold emissions are estimated as the product of the vehicles on a road, length of the road, emission factor evaluated at the respective speed. The estimation considers the beta parameter, the fraction of mileage driven

Usage

emis_cold(
  veh,
  lkm,
  ef,
  efcold,
  beta,
  speed = 34,
  agemax = if (!inherits(x = veh, what = "list")) {
     ncol(veh)
 } else {
    
    ncol(veh[[1]])
 },
  profile,
  simplify = FALSE,
  hour = nrow(profile),
  day = ncol(profile),
  array = TRUE,
  verbose = FALSE
)

Value

EmissionsArray g/h

Arguments

veh

"Vehicles" data-frame or list of "Vehicles" data-frame. Each data-frame as number of columns matching the age distribution of that type of vehicle. The number of rows is equal to the number of streets link

lkm

Length of each link

ef

List of functions of emission factors of vehicular categories

efcold

List of functions of cold start emission factors of vehicular categories

beta

Dataframe with the hourly cold-start distribution to each day of the period. Number of rows are hours and columns are days

speed

Speed data-frame with number of columns as hours

agemax

Age of oldest vehicles for that category

profile

Numerical or dataframe with nrows equal to 24 and ncol 7 day of the week

simplify

Logical; to determine if EmissionsArray should les dimensions, being streets, vehicle categories and hours or default (streets, vehicle categories, hours and days). Default is FALSE to avoid break old code, but the recommendation is that new estimations use this parameter as TRUE

hour

Number of considered hours in estimation

day

Number of considered days in estimation

array

Deprecated! emis_cold returns only arrays. When TRUE and veh is not a list, expects a profile as a dataframe producing an array with dimensions (streets x columns x hours x days)

verbose

Logical; To show more information

Examples

if (FALSE) {
# Do not run
data(net)
data(pc_profile)
data(fe2015)
data(fkm)
data(pc_cold)
pcf <- as.data.frame(cbind(pc_cold,pc_cold,pc_cold,pc_cold,pc_cold,pc_cold,
pc_cold))
PC_G <- c(33491,22340,24818,31808,46458,28574,24856,28972,37818,49050,87923,
          133833,138441,142682,171029,151048,115228,98664,126444,101027,
          84771,55864,36306,21079,20138,17439, 7854,2215,656,1262,476,512,
          1181, 4991, 3711, 5653, 7039, 5839, 4257,3824, 3068)
veh <- data.frame(PC_G = PC_G)
pc1 <- my_age(x = net$ldv, y = PC_G, name = "PC")
pcw <- temp_fact(net$ldv+net$hdv, pc_profile)
speed <- netspeed(pcw, net$ps, net$ffs, net$capacity, net$lkm, alpha = 1)
pckm <- units::set_units(fkm[[1]](1:24), "km"); pckma <- cumsum(pckm)
cod1 <- emis_det(po = "CO", cc = 1000, eu = "III", km = pckma[1:11])
cod2 <- emis_det(po = "CO", cc = 1000, eu = "I", km = pckma[12:24])
#vehicles newer than pre-euro
co1 <- fe2015[fe2015$Pollutant=="CO", ] #24 obs!!!
cod <- c(co1$PC_G[1:24]*c(cod1,cod2),co1$PC_G[25:nrow(co1)])
lef <- ef_ldv_scaled(co1, cod, v = "PC", cc = "<=1400",
                     f = "G",p = "CO", eu=co1$Euro_LDV)
# Mohtly average temperature 18 Celcius degrees
lefec <- ef_ldv_cold_list(df = co1, ta = 18, cc = "<=1400", f = "G",
                          eu = co1$Euro_LDV, p = "CO" )
lefec <- c(lefec,lefec[length(lefec)], lefec[length(lefec)],
           lefec[length(lefec)], lefec[length(lefec)],
           lefec[length(lefec)])
length(lefec) == ncol(pc1)
#emis change length of 'ef' to match ncol of 'veh'
class(lefec)
PC_CO_COLD <- emis_cold(veh = pc1,
                        lkm = net$lkm,
                        ef = lef,
                        efcold = lefec,
                        beta = pcf,
                        speed = speed,
                        profile = pc_profile)
class(PC_CO_COLD)
plot(PC_CO_COLD)
lpc <- list(pc1, pc1)
PC_CO_COLDv2 <- emis_cold(veh = pc1,
                          lkm = net$lkm,
                          ef = lef,
                          efcold = lefec,
                          beta = pcf,
                          speed = speed,
                          profile = pc_profile,
                          hour = 2,
                          day = 1)
}