Nothing
R/emis_cold.R
In vein: Vehicular Emissions Inventories
#' Estimation of cold start emissions hourly for the of the week
#'
#' @description \code{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
#'
#' @param 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
#' @param lkm Length of each link
#' @param ef List of functions of emission factors of vehicular categories
#' @param efcold List of functions of cold start emission factors of vehicular categories
#' @param beta Dataframe with the hourly cold-start distribution to each day
#' of the period. Number of rows are hours and columns are days
#' @param speed Speed data-frame with number of columns as hours
#' @param agemax Age of oldest vehicles for that category
#' @param profile Numerical or dataframe with nrows equal to 24 and ncol 7 day
#' of the week
#' @param 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
#' @param hour Number of considered hours in estimation
#' @param day Number of considered days in estimation
#' @param array Deprecated! \code{\link{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)
#' @param verbose Logical; To show more information
#' @return EmissionsArray g/h
#' @export
#' @examples \dontrun{
#' # 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)
#' }
emis_cold <- function (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) {
# Check units
if(!inherits(lkm, "units")){
stop("lkm neeeds to has class 'units' in 'km'. Please, check package 'units'")
}
if(units(lkm) == units(units::as_units("m"))){
stop("Units of lkm is 'm', change to 'km'")
}
if(units(lkm) == units(units::as_units("km"))) {
lkm <- as.numeric(lkm)
}
# At least, on e of these
if(any(!class(ef) %in% c("list", "units", "EmissionFactorsList",
"EmissionFactors", "data.frame"))){
stop("ef must be either of 'list', 'units', 'EmissionFactorsList', 'EmissionFactors' or 'data.frame'")
}
# Checking sf
if(inherits(veh, "sf")){
if(verbose) message("Transforming sf to data.frame")
veh <- sf::st_set_geometry(veh, NULL)
}
lkm <- as.numeric(lkm)
speed <- as.data.frame(speed)
for (i in 1:ncol(speed) ) {
speed[, i] <- as.numeric(speed[, i])
}
# veh is "Vehicles" data-frame
if (!inherits(x = veh, what = "list")) {
veh <- as.data.frame(veh)
lkm <- as.numeric(lkm)
for(i in 1:ncol(veh)){
veh[,i] <- as.numeric(veh[,i])
}
# top down
if(missing(profile)){
stop("For top down approach, use 'emis_cold_td'")
}
if(!missing(profile) & is.vector(profile)){
profile <- matrix(profile, ncol = 1)
}
if(ncol(veh) != length(ef)){
if(verbose) message(
paste0("Number of columns of 'veh' is different than length of 'ef'\n",
"adjusting length of ef to the number of colums of 'veh'\n"))
if(ncol(veh) > length(ef)){
for(i in (length(ef) + 1):ncol(veh) ){
# for(i in (ncol(veh) - length(ef)):ncol(veh) ){
ef[[i]] <- ef[[length(ef)]]
}
} else if (ncol(veh) < length(ef)){
ff <- list()
for(i in 1:ncol(veh)){
ff[[i]] <- ef[[i]]
}
ef <- ff
}
}
# if(array == F){
# lista <- lapply(1:day,function(j){
# lapply(1:hour,function(i){
# lapply(1:agemax, function(k){
# beta[i,j]*veh[, k]*profile[i,j]*lkm*ef[[k]](speed[, i])*
# ifelse((efcold[[k]](speed[, i]) - 1) < 0, 0,
# (efcold[[k]](speed[, i]) - 1))
# })
# })
# })
# return(EmissionsList(lista))
# } else {
veh <- as.data.frame(veh)
for(i in 1:ncol(veh)){
veh[,i] <- as.numeric(veh[,i])
}
if(simplify) {
d <- simplify2array(
lapply(1:length(unlist(profile)) ,function(j){ # 7 dias
simplify2array(
lapply(1:agemax, function(k){ # categorias
unlist(beta)[j]*veh[, k]*unlist(profile)[j]*lkm*ef[[k]](speed[, j])*
ifelse((efcold[[k]](speed[, j])- 1) < 0, 0,
(efcold[[k]](speed[, j]) - 1))
}) ) }) )
} else {
d <- simplify2array(
lapply(1:day,function(j){
simplify2array(
lapply(1:hour,function(i){
simplify2array(
lapply(1:agemax, function(k){
beta[i,j]*veh[, k]*profile[i,j]*lkm*ef[[k]](speed[, (1:nrow(profile))[i] + nrow(profile)*(j - 1)])*
ifelse((efcold[[k]](speed[, (1:nrow(profile))[i] + nrow(profile)*(j - 1)]) - 1) < 0, 0,
(efcold[[k]](speed[, (1:nrow(profile))[i] + nrow(profile)*(j - 1)]) - 1))
}) ) }) ) }) )
}
if(verbose) message(round(sum(d, na.rm = TRUE)/1000,2),
" kg emissions in ", hour, " hours and ", day, " days")
return(EmissionsArray(d))
# }
} else {
if(ncol(veh[[1]]) != length(ef)){
if(verbose) message(
paste0("Number of columns of 'veh' is different than length of 'ef'\n",
"adjusting length of ef to the number of colums of 'veh'\n"))
if(ncol(veh[[1]]) > length(ef)){
for(i in (length(ef) + 1):ncol(veh[[1]]) ){
ef[[i]] <- ef[[length(ef)]]
}
} else if (ncol(veh[[1]]) < length(ef)){
ff <- list()
for(i in 1:ncol(veh[[1]])){
ff[[i]] <- ef[[i]]
}
ef <- ff
}
}
for (j in 1:length(veh)) {
for (i in 1:ncol(veh[[j]]) ) {
veh[[j]][,i] <- as.numeric(veh[[j]][,i])
} }
# if(array == F){
# lista <- lapply(1:length(veh),function(i){
# lapply(1:agemax, function(k){
# unlist(beta)[i]*veh[[i]][, k]*lkm*ef[[k]](speed[, i])*
# ifelse((efcold[[k]](speed[, i]) - 1) < 0, 0,
# (efcold[[k]](speed[, i]) - 1))
# }) })
# return(EmissionsList(lista))
# } else {
d <- simplify2array(
lapply(1:length(veh),function(i){
simplify2array(
lapply(1:agemax, function(k){
unlist(beta)[i]*veh[[i]][, k]*lkm*ef[[k]](speed[, i])*
ifelse((efcold[[k]](speed[, i]) - 1) < 0, 0,
(efcold[[k]](speed[, i]) - 1))
}) ) }) )
if(verbose) message(round(sum(d, na.rm = TRUE)/1000,2),
" kg emissions in ", hour, " hours and ", day, " days")
return(EmissionsArray(d))
# }
}
}
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#' Estimation of cold start emissions hourly for the of the week
#'
#' @description \code{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
#'
#' @param 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
#' @param lkm Length of each link
#' @param ef List of functions of emission factors of vehicular categories
#' @param efcold List of functions of cold start emission factors of vehicular categories
#' @param beta Dataframe with the hourly cold-start distribution to each day
#' of the period. Number of rows are hours and columns are days
#' @param speed Speed data-frame with number of columns as hours
#' @param agemax Age of oldest vehicles for that category
#' @param profile Numerical or dataframe with nrows equal to 24 and ncol 7 day
#' of the week
#' @param 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
#' @param hour Number of considered hours in estimation
#' @param day Number of considered days in estimation
#' @param array Deprecated! \code{\link{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)
#' @param verbose Logical; To show more information
#' @return EmissionsArray g/h
#' @export
#' @examples \dontrun{
#' # 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)
#' }
emis_cold <- function (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) {
# Check units
if(!inherits(lkm, "units")){
stop("lkm neeeds to has class 'units' in 'km'. Please, check package 'units'")
}
if(units(lkm) == units(units::as_units("m"))){
stop("Units of lkm is 'm', change to 'km'")
}
if(units(lkm) == units(units::as_units("km"))) {
lkm <- as.numeric(lkm)
}
# At least, on e of these
if(any(!class(ef) %in% c("list", "units", "EmissionFactorsList",
"EmissionFactors", "data.frame"))){
stop("ef must be either of 'list', 'units', 'EmissionFactorsList', 'EmissionFactors' or 'data.frame'")
}
# Checking sf
if(inherits(veh, "sf")){
if(verbose) message("Transforming sf to data.frame")
veh <- sf::st_set_geometry(veh, NULL)
}
lkm <- as.numeric(lkm)
speed <- as.data.frame(speed)
for (i in 1:ncol(speed) ) {
speed[, i] <- as.numeric(speed[, i])
}
# veh is "Vehicles" data-frame
if (!inherits(x = veh, what = "list")) {
veh <- as.data.frame(veh)
lkm <- as.numeric(lkm)
for(i in 1:ncol(veh)){
veh[,i] <- as.numeric(veh[,i])
}
# top down
if(missing(profile)){
stop("For top down approach, use 'emis_cold_td'")
}
if(!missing(profile) & is.vector(profile)){
profile <- matrix(profile, ncol = 1)
}
if(ncol(veh) != length(ef)){
if(verbose) message(
paste0("Number of columns of 'veh' is different than length of 'ef'\n",
"adjusting length of ef to the number of colums of 'veh'\n"))
if(ncol(veh) > length(ef)){
for(i in (length(ef) + 1):ncol(veh) ){
# for(i in (ncol(veh) - length(ef)):ncol(veh) ){
ef[[i]] <- ef[[length(ef)]]
}
} else if (ncol(veh) < length(ef)){
ff <- list()
for(i in 1:ncol(veh)){
ff[[i]] <- ef[[i]]
}
ef <- ff
}
}
# if(array == F){
# lista <- lapply(1:day,function(j){
# lapply(1:hour,function(i){
# lapply(1:agemax, function(k){
# beta[i,j]*veh[, k]*profile[i,j]*lkm*ef[[k]](speed[, i])*
# ifelse((efcold[[k]](speed[, i]) - 1) < 0, 0,
# (efcold[[k]](speed[, i]) - 1))
# })
# })
# })
# return(EmissionsList(lista))
# } else {
veh <- as.data.frame(veh)
for(i in 1:ncol(veh)){
veh[,i] <- as.numeric(veh[,i])
}
if(simplify) {
d <- simplify2array(
lapply(1:length(unlist(profile)) ,function(j){ # 7 dias
simplify2array(
lapply(1:agemax, function(k){ # categorias
unlist(beta)[j]*veh[, k]*unlist(profile)[j]*lkm*ef[[k]](speed[, j])*
ifelse((efcold[[k]](speed[, j])- 1) < 0, 0,
(efcold[[k]](speed[, j]) - 1))
}) ) }) )
} else {
d <- simplify2array(
lapply(1:day,function(j){
simplify2array(
lapply(1:hour,function(i){
simplify2array(
lapply(1:agemax, function(k){
beta[i,j]*veh[, k]*profile[i,j]*lkm*ef[[k]](speed[, (1:nrow(profile))[i] + nrow(profile)*(j - 1)])*
ifelse((efcold[[k]](speed[, (1:nrow(profile))[i] + nrow(profile)*(j - 1)]) - 1) < 0, 0,
(efcold[[k]](speed[, (1:nrow(profile))[i] + nrow(profile)*(j - 1)]) - 1))
}) ) }) ) }) )
}
if(verbose) message(round(sum(d, na.rm = TRUE)/1000,2),
" kg emissions in ", hour, " hours and ", day, " days")
return(EmissionsArray(d))
# }
} else {
if(ncol(veh[[1]]) != length(ef)){
if(verbose) message(
paste0("Number of columns of 'veh' is different than length of 'ef'\n",
"adjusting length of ef to the number of colums of 'veh'\n"))
if(ncol(veh[[1]]) > length(ef)){
for(i in (length(ef) + 1):ncol(veh[[1]]) ){
ef[[i]] <- ef[[length(ef)]]
}
} else if (ncol(veh[[1]]) < length(ef)){
ff <- list()
for(i in 1:ncol(veh[[1]])){
ff[[i]] <- ef[[i]]
}
ef <- ff
}
}
for (j in 1:length(veh)) {
for (i in 1:ncol(veh[[j]]) ) {
veh[[j]][,i] <- as.numeric(veh[[j]][,i])
} }
# if(array == F){
# lista <- lapply(1:length(veh),function(i){
# lapply(1:agemax, function(k){
# unlist(beta)[i]*veh[[i]][, k]*lkm*ef[[k]](speed[, i])*
# ifelse((efcold[[k]](speed[, i]) - 1) < 0, 0,
# (efcold[[k]](speed[, i]) - 1))
# }) })
# return(EmissionsList(lista))
# } else {
d <- simplify2array(
lapply(1:length(veh),function(i){
simplify2array(
lapply(1:agemax, function(k){
unlist(beta)[i]*veh[[i]][, k]*lkm*ef[[k]](speed[, i])*
ifelse((efcold[[k]](speed[, i]) - 1) < 0, 0,
(efcold[[k]](speed[, i]) - 1))
}) ) }) )
if(verbose) message(round(sum(d, na.rm = TRUE)/1000,2),
" kg emissions in ", hour, " hours and ", day, " days")
return(EmissionsArray(d))
# }
}
}
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