projects/ecuador_td/scripts/fuel_eval_eea.R
In ibarraespinosa/vein: Vehicular Emissions Inventories
suppressWarnings(file.remove("emi/FC.csv"))
metadata_original <- metadata
metadata <- metadata[metadata$fuel != "ELEC", ]
# para vehiculos hibridos solo hay euro 4, entonces se asumio para
# esa categoria en inventory.xlsx
# es importante cerar el numero de vehiculos antes que estos entraran
# en circulacion
setDT(pmonth)
# Hot Exhaust ####
cat("\n\nHot Running Fuel Consumption\n ")
for (i in seq_along(metadata$vehicles)) {
cat(
"\n", metadata$vehicles[i],
rep("", max(nchar(metadata$vehicles) + 1) - nchar(metadata$vehicles[i]))
)
x <- readRDS(paste0("veh/", metadata$vehicles[i], ".rds"))
# euro
cate <- suppressWarnings(
as.character(as.roman(gsub("Euro ", "",
euro[[metadata$vehicles[i]]]))))
cate[is.na(cate)] <- "PRE"
for (j in seq_along(pol)) {
cat(pol[j], " ")
if(metadata$v_eea_old[i] %in% c("PC", "LCV", "Motorcycle")) {
ef <- ef_ldv_speed(v = metadata$v_eea_old[i],
t = metadata$t_eea_old[i],
cc = metadata$cc_eea_old[i],
f = metadata$fuel_eea_old[i],
p = "FC",
eu = cate,
speed = Speed(metadata$speed[i]))
} else {
ef <- ef_hdv_speed(v = metadata$v_eea_old[i],
t = metadata$t_eea_old[i],
g = metadata$cc_eea_old[i],
eu = cate,
gr = 0,
l = 0.5,
p = "FC",
speed = Speed(metadata$speed[i]))
}
nrow(x) == nrow(ef)
ef$speed <- NULL
array_x <- emis_hot_td(
veh = x,
lkm = mileage[[metadata$vehicles[i]]],
ef = ef[, 1:ncol(x)],
fortran = TRUE,
nt = nt,
pro_month = pmonth[fuel == ifelse(metadata$vehicles[i] == "D", "D", "G")]$consumption_lt,
verbose = verbose,
params = list(
veh = metadata$vehicles[i],
size = metadata$size[i],
fuel = metadata$fuel[i],
pollutant = pol[j],
type_emi = "Hot",
subtype_emi = "Exhaust",
baseyear = year
)
)
fwrite(array_x, "emi/FC.csv", append = TRUE)
}
}
# Cold Start ####
cat("\n\nCold Exhaust Fuel Consumption ")
metadata_cold <- metadata[metadata$fuel_eea_old %in% "G" &
metadata$v_eea_old %in% c("PC", "LCV"), ]
for (i in seq_along(metadata_cold$vehicles)) {
cat(
"\n", metadata_cold$vehicles[i],
rep("", max(nchar(metadata_cold$vehicles) + 1) - nchar(metadata_cold$vehicles[i]))
)
x <- readRDS(paste0("veh/", metadata_cold$vehicles[i], ".rds"))
"veh/PC"
# euro
cate <- suppressWarnings(
as.character(as.roman(gsub("Euro ", "",
euro[[metadata_cold$vehicles[i]]]))))
cate[is.na(cate)] <- "PRE"
for (j in seq_along(pol)) {
cat(pol[j], " ")
ltrip <- add_lkm(metadata_cold$km_cycle[i])
ta <- met$value
a <- cold_mileage(ltrip = ltrip, ta = celsius(ta))
(ef <- ef_ldv_speed(v = metadata_cold$v_eea_old[i],
t = metadata_cold$t_eea_old[i],
cc = metadata_cold$cc_eea_old[i],
f = metadata_cold$fuel_eea_old[i],
p = "FC",
eu = cate,
speed = Speed(metadata_cold$speed[i])))
(efcold <- ef_ldv_cold(ta = matrix(ta, nrow = 1),
cc = ifelse(metadata_cold$cc_eea_old[i] == "<3.5",
">2000",
metadata_cold$cc_eea_old[i]),
f = metadata_cold$fuel_eea_old[i],
p = "FC",
eu = cate,
speed = Speed(metadata_cold$speed[i])))
nrow(x) == nrow(ef)
ef$speed <- NULL
array_x <- emis_cold_td(
veh = x,
lkm = mileage[[metadata_cold$vehicles[i]]],
ef = ef[, 1:ncol(x)],
efcold = efcold[, 1:ncol(x)],
fortran = TRUE,
beta = matrix(a, nrow = 1),
nt = nt,
pro_month = pmonth[fuel == ifelse(metadata$vehicles[i] == "D", "D", "G")]$consumption_lt,
verbose = verbose,
params = list(
veh = metadata_cold$vehicles[i],
size = metadata_cold$size[i],
fuel = metadata_cold$fuel[i],
pollutant = pol[j],
type_emi = "Cold",
subtype_emi = "Exhaust",
baseyear = year,
month = rep(1:12, each = ncol(x))
)
)
fwrite(array_x, "emi/FC.csv", append = TRUE)
}
}
switch(language,
"portuguese" = message("\nArquivos em:"),
"english" = message("\nFiles in:"),
"spanish" = message("\nArchivos en:")
)
cat(paste0(getwd(), "/emi/*\n"))
# data.table ####
dt <- fread("emi/FC.csv")
dt$pollutant <- as.character(dt$pollutant)
dt$g <- units::set_units(dt$emissions, "g")
dt$t <- units::set_units(dt$g, t)
dt0 <- dt[pollutant == "FC",
round(sum(t), 2),
by = .(fuel)
]
data.table::setkey(dt0, "fuel")
names(dt0)[2] <- "estimation_t"
dtf <- merge(dt0, fuel, by = "fuel")
setorderv(dtf, cols = c("fuel"))
dtf$density_tm3 <- units::set_units(dtf$density_tm3, "t/m^3")
dtf$consumption_lt <- units::set_units(dtf$consumption_lt, "l")
dtf$consumption_m3 <- units::set_units(dtf$consumption_lt, "m^3")
dtf$consumption_t <- dtf$consumption_m3 * dtf$density_tm3
dtf$estimation_consumption <- dtf$estimation_t / dtf$consumption_t
print(dtf[, c("fuel", "estimation_t", "consumption_t", "estimation_consumption")])
# calibrate k ####
k_D <- as.numeric(1/dtf[fuel == "D"]$estimation_consumption)
k_G <- as.numeric(1/dtf[fuel == "G"]$estimation_consumption)
language <- "spanish" # english spanish portuguese
net <- readRDS("network/net.rds")
metadata <- readRDS("config/metadata.rds")
categories <- c("pc", "lcv", "trucks", "bus", "mc") # in network/net.gpkg
veh <- readRDS("config/fleet_age.rds")
verbose <- FALSE
year <- 2019
theme <- "black" # dark clean ink
source("scripts/traffic.R")
# re estimate fc ####
file.remove("emi/FC.csv")
metadata_original <- metadata
metadata <- metadata[metadata$fuel != "ELEC", ]
# Hot Exhaust ####
cat("\n\nHot Running Fuel Consumption\n ")
for (i in seq_along(metadata$vehicles)) {
cat(
"\n", metadata$vehicles[i],
rep("", max(nchar(metadata$vehicles) + 1) - nchar(metadata$vehicles[i]))
)
x <- readRDS(paste0("veh/", metadata$vehicles[i], ".rds"))
# euro
cate <- suppressWarnings(
as.character(as.roman(gsub("Euro ", "",
euro[[metadata$vehicles[i]]]))))
cate[is.na(cate)] <- "PRE"
for (j in seq_along(pol)) {
cat(pol[j], " ")
if(metadata$v_eea_old[i] %in% c("PC", "LCV", "Motorcycle")) {
ef <- ef_ldv_speed(v = metadata$v_eea_old[i],
t = metadata$t_eea_old[i],
cc = metadata$cc_eea_old[i],
f = metadata$fuel_eea_old[i],
p = "FC",
eu = cate,
speed = Speed(metadata$speed[i]))
} else {
ef <- ef_hdv_speed(v = metadata$v_eea_old[i],
t = metadata$t_eea_old[i],
g = metadata$cc_eea_old[i],
eu = cate,
gr = 0,
l = 0.5,
p = "FC",
speed = Speed(metadata$speed[i]))
}
nrow(x) == nrow(ef)
ef$speed <- NULL
array_x <- emis_hot_td(
veh = x,
lkm = mileage[[metadata$vehicles[i]]],
ef = ef[, 1:ncol(x)],
fortran = TRUE,
nt = nt,
pro_month = pmonth[fuel == ifelse(metadata$vehicles[i] == "D", "D", "G")]$consumption_lt,
verbose = verbose,
params = list(
veh = metadata$vehicles[i],
size = metadata$size[i],
fuel = metadata$fuel[i],
pollutant = pol[j],
type_emi = "Running",
subtype_emi = "Exhaust",
baseyear = year
)
)
fwrite(array_x, "emi/FC.csv", append = TRUE)
}
}
# Cold Start ####
cat("\n\nCold Exhaust Fuel Consumption ")
metadata_cold <- metadata[metadata$fuel_eea_old %in% "G" &
metadata$v_eea_old %in% c("PC", "LCV"), ]
for (i in seq_along(metadata_cold$vehicles)) {
cat(
"\n", metadata_cold$vehicles[i],
rep("", max(nchar(metadata_cold$vehicles) + 1) - nchar(metadata_cold$vehicles[i]))
)
x <- readRDS(paste0("veh/", metadata_cold$vehicles[i], ".rds"))
"veh/PC"
# euro
cate <- suppressWarnings(
as.character(as.roman(gsub("Euro ", "",
euro[[metadata_cold$vehicles[i]]]))))
cate[is.na(cate)] <- "PRE"
for (j in seq_along(pol)) {
cat(pol[j], " ")
ltrip <- add_lkm(metadata_cold$km_cycle[i])
ta <- met$value
a <- cold_mileage(ltrip = ltrip, ta = celsius(ta))
(ef <- ef_ldv_speed(v = metadata_cold$v_eea_old[i],
t = metadata_cold$t_eea_old[i],
cc = metadata_cold$cc_eea_old[i],
f = metadata_cold$fuel_eea_old[i],
p = "FC",
eu = cate,
speed = Speed(metadata_cold$speed[i])))
(efcold <- ef_ldv_cold(ta = matrix(ta, nrow = 1),
cc = ifelse(metadata_cold$cc_eea_old[i] == "<3.5",
">2000",
metadata_cold$cc_eea_old[i]),
f = metadata_cold$fuel_eea_old[i],
p = "FC",
eu = cate,
speed = Speed(metadata_cold$speed[i])))
nrow(x) == nrow(ef)
ef$speed <- NULL
array_x <- emis_cold_td(
veh = x,
lkm = mileage[[metadata_cold$vehicles[i]]],
ef = ef[, 1:ncol(x)],
efcold = efcold[, 1:ncol(x)],
fortran = TRUE,
beta = matrix(a, nrow = 1),
nt = nt,
pro_month = pmonth[fuel == ifelse(metadata$vehicles[i] == "D", "D", "G")]$consumption_lt,
verbose = verbose,
params = list(
veh = metadata_cold$vehicles[i],
size = metadata_cold$size[i],
fuel = metadata_cold$fuel[i],
pollutant = pol[j],
type_emi = "Cold",
subtype_emi = "Exhaust",
baseyear = year,
month = rep(1:12, each = ncol(x))
)
)
fwrite(array_x, "emi/FC.csv", append = TRUE)
}
}
switch(language,
"portuguese" = message("\nArquivos em:"),
"english" = message("\nFiles in:"),
"spanish" = message("\nArchivos en:")
)
switch(language,
"portuguese" = message("\nArquivos em:"),
"english" = message("\nFiles in:"),
"spanish" = message("\nArchivos en:")
)
cat(paste0(getwd(), "/emi/*\n"))
# data.table ####
dt <- fread("emi/FC.csv")
dt$pollutant <- as.character(dt$pollutant)
dt$g <- units::set_units(dt$emissions, "g")
dt$t <- units::set_units(dt$g, t)
dt0 <- dt[pollutant == "FC",
round(sum(t), 2),
by = .(fuel)
]
data.table::setkey(dt0, "fuel")
names(dt0)[2] <- "estimation_t"
dtf <- merge(dt0, fuel, by = "fuel")
setorderv(dtf, cols = c("fuel"))
dtf$density_tm3 <- units::set_units(dtf$density_tm3, "t/m^3")
dtf$consumption_lt <- units::set_units(dtf$consumption_lt, "l")
dtf$consumption_m3 <- units::set_units(dtf$consumption_lt, "m^3")
dtf$consumption_t <- dtf$consumption_m3 * dtf$density_tm3
dtf$estimation_consumption <- dtf$estimation_t / dtf$consumption_t
print(dtf[, c("fuel", "estimation_t", "consumption_t", "estimation_consumption")])
switch(language,
"portuguese" = message("Limpando..."),
"english" = message("Cleaning..."),
"spanish" = message("Limpiando...")
)
# suppressWarnings(rm(i, j, pol, dt, dt0, dtf, factor_emi, fuel))
# suppressWarnings(rm(
# kPC, kPC_G, kPC_E, kPC_FG, kPC_FE,
# kLCV, kLCV_G, kLCV_E, kLCV_FG, kLCV_FE, kLCV_D,
# kTRUCKS, kTRUCKS_SL_D, kTRUCKS_L_D, kTRUCKS_M_D, kTRUCKS_SH_D, kTRUCKS_H_D,
# kBUS, kBUS_URBAN_D, kBUS_MICRO_D, kBUS_COACH_D,
# kMC, kMC_150_G, kMC_150_500_G, kMC_500_G,
# kMC_150_FG, kMC_150_500_FG, kMC_500_FG,
# kMC_150_FE, kMC_150_500_FE, kMC_500_FE,
# l_PC, l_LCV, l_TRUCKS, l_BUS, l_MC,
# i, arquivos, cores, df, f, ff,
# n_PC, n_LCV, n_TRUCKS, n_BUS, n_MC,
# na, nveh, p, tit, tit2, veiculos, x, kf,
# k_G, k_D, k_E,
# ))
ls()
invisible(gc())
ibarraespinosa/vein documentation built on April 13, 2024, 8:51 p.m.
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suppressWarnings(file.remove("emi/FC.csv"))
metadata_original <- metadata
metadata <- metadata[metadata$fuel != "ELEC", ]
# para vehiculos hibridos solo hay euro 4, entonces se asumio para
# esa categoria en inventory.xlsx
# es importante cerar el numero de vehiculos antes que estos entraran
# en circulacion
setDT(pmonth)
# Hot Exhaust ####
cat("\n\nHot Running Fuel Consumption\n ")
for (i in seq_along(metadata$vehicles)) {
cat(
"\n", metadata$vehicles[i],
rep("", max(nchar(metadata$vehicles) + 1) - nchar(metadata$vehicles[i]))
)
x <- readRDS(paste0("veh/", metadata$vehicles[i], ".rds"))
# euro
cate <- suppressWarnings(
as.character(as.roman(gsub("Euro ", "",
euro[[metadata$vehicles[i]]]))))
cate[is.na(cate)] <- "PRE"
for (j in seq_along(pol)) {
cat(pol[j], " ")
if(metadata$v_eea_old[i] %in% c("PC", "LCV", "Motorcycle")) {
ef <- ef_ldv_speed(v = metadata$v_eea_old[i],
t = metadata$t_eea_old[i],
cc = metadata$cc_eea_old[i],
f = metadata$fuel_eea_old[i],
p = "FC",
eu = cate,
speed = Speed(metadata$speed[i]))
} else {
ef <- ef_hdv_speed(v = metadata$v_eea_old[i],
t = metadata$t_eea_old[i],
g = metadata$cc_eea_old[i],
eu = cate,
gr = 0,
l = 0.5,
p = "FC",
speed = Speed(metadata$speed[i]))
}
nrow(x) == nrow(ef)
ef$speed <- NULL
array_x <- emis_hot_td(
veh = x,
lkm = mileage[[metadata$vehicles[i]]],
ef = ef[, 1:ncol(x)],
fortran = TRUE,
nt = nt,
pro_month = pmonth[fuel == ifelse(metadata$vehicles[i] == "D", "D", "G")]$consumption_lt,
verbose = verbose,
params = list(
veh = metadata$vehicles[i],
size = metadata$size[i],
fuel = metadata$fuel[i],
pollutant = pol[j],
type_emi = "Hot",
subtype_emi = "Exhaust",
baseyear = year
)
)
fwrite(array_x, "emi/FC.csv", append = TRUE)
}
}
# Cold Start ####
cat("\n\nCold Exhaust Fuel Consumption ")
metadata_cold <- metadata[metadata$fuel_eea_old %in% "G" &
metadata$v_eea_old %in% c("PC", "LCV"), ]
for (i in seq_along(metadata_cold$vehicles)) {
cat(
"\n", metadata_cold$vehicles[i],
rep("", max(nchar(metadata_cold$vehicles) + 1) - nchar(metadata_cold$vehicles[i]))
)
x <- readRDS(paste0("veh/", metadata_cold$vehicles[i], ".rds"))
"veh/PC"
# euro
cate <- suppressWarnings(
as.character(as.roman(gsub("Euro ", "",
euro[[metadata_cold$vehicles[i]]]))))
cate[is.na(cate)] <- "PRE"
for (j in seq_along(pol)) {
cat(pol[j], " ")
ltrip <- add_lkm(metadata_cold$km_cycle[i])
ta <- met$value
a <- cold_mileage(ltrip = ltrip, ta = celsius(ta))
(ef <- ef_ldv_speed(v = metadata_cold$v_eea_old[i],
t = metadata_cold$t_eea_old[i],
cc = metadata_cold$cc_eea_old[i],
f = metadata_cold$fuel_eea_old[i],
p = "FC",
eu = cate,
speed = Speed(metadata_cold$speed[i])))
(efcold <- ef_ldv_cold(ta = matrix(ta, nrow = 1),
cc = ifelse(metadata_cold$cc_eea_old[i] == "<3.5",
">2000",
metadata_cold$cc_eea_old[i]),
f = metadata_cold$fuel_eea_old[i],
p = "FC",
eu = cate,
speed = Speed(metadata_cold$speed[i])))
nrow(x) == nrow(ef)
ef$speed <- NULL
array_x <- emis_cold_td(
veh = x,
lkm = mileage[[metadata_cold$vehicles[i]]],
ef = ef[, 1:ncol(x)],
efcold = efcold[, 1:ncol(x)],
fortran = TRUE,
beta = matrix(a, nrow = 1),
nt = nt,
pro_month = pmonth[fuel == ifelse(metadata$vehicles[i] == "D", "D", "G")]$consumption_lt,
verbose = verbose,
params = list(
veh = metadata_cold$vehicles[i],
size = metadata_cold$size[i],
fuel = metadata_cold$fuel[i],
pollutant = pol[j],
type_emi = "Cold",
subtype_emi = "Exhaust",
baseyear = year,
month = rep(1:12, each = ncol(x))
)
)
fwrite(array_x, "emi/FC.csv", append = TRUE)
}
}
switch(language,
"portuguese" = message("\nArquivos em:"),
"english" = message("\nFiles in:"),
"spanish" = message("\nArchivos en:")
)
cat(paste0(getwd(), "/emi/*\n"))
# data.table ####
dt <- fread("emi/FC.csv")
dt$pollutant <- as.character(dt$pollutant)
dt$g <- units::set_units(dt$emissions, "g")
dt$t <- units::set_units(dt$g, t)
dt0 <- dt[pollutant == "FC",
round(sum(t), 2),
by = .(fuel)
]
data.table::setkey(dt0, "fuel")
names(dt0)[2] <- "estimation_t"
dtf <- merge(dt0, fuel, by = "fuel")
setorderv(dtf, cols = c("fuel"))
dtf$density_tm3 <- units::set_units(dtf$density_tm3, "t/m^3")
dtf$consumption_lt <- units::set_units(dtf$consumption_lt, "l")
dtf$consumption_m3 <- units::set_units(dtf$consumption_lt, "m^3")
dtf$consumption_t <- dtf$consumption_m3 * dtf$density_tm3
dtf$estimation_consumption <- dtf$estimation_t / dtf$consumption_t
print(dtf[, c("fuel", "estimation_t", "consumption_t", "estimation_consumption")])
# calibrate k ####
k_D <- as.numeric(1/dtf[fuel == "D"]$estimation_consumption)
k_G <- as.numeric(1/dtf[fuel == "G"]$estimation_consumption)
language <- "spanish" # english spanish portuguese
net <- readRDS("network/net.rds")
metadata <- readRDS("config/metadata.rds")
categories <- c("pc", "lcv", "trucks", "bus", "mc") # in network/net.gpkg
veh <- readRDS("config/fleet_age.rds")
verbose <- FALSE
year <- 2019
theme <- "black" # dark clean ink
source("scripts/traffic.R")
# re estimate fc ####
file.remove("emi/FC.csv")
metadata_original <- metadata
metadata <- metadata[metadata$fuel != "ELEC", ]
# Hot Exhaust ####
cat("\n\nHot Running Fuel Consumption\n ")
for (i in seq_along(metadata$vehicles)) {
cat(
"\n", metadata$vehicles[i],
rep("", max(nchar(metadata$vehicles) + 1) - nchar(metadata$vehicles[i]))
)
x <- readRDS(paste0("veh/", metadata$vehicles[i], ".rds"))
# euro
cate <- suppressWarnings(
as.character(as.roman(gsub("Euro ", "",
euro[[metadata$vehicles[i]]]))))
cate[is.na(cate)] <- "PRE"
for (j in seq_along(pol)) {
cat(pol[j], " ")
if(metadata$v_eea_old[i] %in% c("PC", "LCV", "Motorcycle")) {
ef <- ef_ldv_speed(v = metadata$v_eea_old[i],
t = metadata$t_eea_old[i],
cc = metadata$cc_eea_old[i],
f = metadata$fuel_eea_old[i],
p = "FC",
eu = cate,
speed = Speed(metadata$speed[i]))
} else {
ef <- ef_hdv_speed(v = metadata$v_eea_old[i],
t = metadata$t_eea_old[i],
g = metadata$cc_eea_old[i],
eu = cate,
gr = 0,
l = 0.5,
p = "FC",
speed = Speed(metadata$speed[i]))
}
nrow(x) == nrow(ef)
ef$speed <- NULL
array_x <- emis_hot_td(
veh = x,
lkm = mileage[[metadata$vehicles[i]]],
ef = ef[, 1:ncol(x)],
fortran = TRUE,
nt = nt,
pro_month = pmonth[fuel == ifelse(metadata$vehicles[i] == "D", "D", "G")]$consumption_lt,
verbose = verbose,
params = list(
veh = metadata$vehicles[i],
size = metadata$size[i],
fuel = metadata$fuel[i],
pollutant = pol[j],
type_emi = "Running",
subtype_emi = "Exhaust",
baseyear = year
)
)
fwrite(array_x, "emi/FC.csv", append = TRUE)
}
}
# Cold Start ####
cat("\n\nCold Exhaust Fuel Consumption ")
metadata_cold <- metadata[metadata$fuel_eea_old %in% "G" &
metadata$v_eea_old %in% c("PC", "LCV"), ]
for (i in seq_along(metadata_cold$vehicles)) {
cat(
"\n", metadata_cold$vehicles[i],
rep("", max(nchar(metadata_cold$vehicles) + 1) - nchar(metadata_cold$vehicles[i]))
)
x <- readRDS(paste0("veh/", metadata_cold$vehicles[i], ".rds"))
"veh/PC"
# euro
cate <- suppressWarnings(
as.character(as.roman(gsub("Euro ", "",
euro[[metadata_cold$vehicles[i]]]))))
cate[is.na(cate)] <- "PRE"
for (j in seq_along(pol)) {
cat(pol[j], " ")
ltrip <- add_lkm(metadata_cold$km_cycle[i])
ta <- met$value
a <- cold_mileage(ltrip = ltrip, ta = celsius(ta))
(ef <- ef_ldv_speed(v = metadata_cold$v_eea_old[i],
t = metadata_cold$t_eea_old[i],
cc = metadata_cold$cc_eea_old[i],
f = metadata_cold$fuel_eea_old[i],
p = "FC",
eu = cate,
speed = Speed(metadata_cold$speed[i])))
(efcold <- ef_ldv_cold(ta = matrix(ta, nrow = 1),
cc = ifelse(metadata_cold$cc_eea_old[i] == "<3.5",
">2000",
metadata_cold$cc_eea_old[i]),
f = metadata_cold$fuel_eea_old[i],
p = "FC",
eu = cate,
speed = Speed(metadata_cold$speed[i])))
nrow(x) == nrow(ef)
ef$speed <- NULL
array_x <- emis_cold_td(
veh = x,
lkm = mileage[[metadata_cold$vehicles[i]]],
ef = ef[, 1:ncol(x)],
efcold = efcold[, 1:ncol(x)],
fortran = TRUE,
beta = matrix(a, nrow = 1),
nt = nt,
pro_month = pmonth[fuel == ifelse(metadata$vehicles[i] == "D", "D", "G")]$consumption_lt,
verbose = verbose,
params = list(
veh = metadata_cold$vehicles[i],
size = metadata_cold$size[i],
fuel = metadata_cold$fuel[i],
pollutant = pol[j],
type_emi = "Cold",
subtype_emi = "Exhaust",
baseyear = year,
month = rep(1:12, each = ncol(x))
)
)
fwrite(array_x, "emi/FC.csv", append = TRUE)
}
}
switch(language,
"portuguese" = message("\nArquivos em:"),
"english" = message("\nFiles in:"),
"spanish" = message("\nArchivos en:")
)
switch(language,
"portuguese" = message("\nArquivos em:"),
"english" = message("\nFiles in:"),
"spanish" = message("\nArchivos en:")
)
cat(paste0(getwd(), "/emi/*\n"))
# data.table ####
dt <- fread("emi/FC.csv")
dt$pollutant <- as.character(dt$pollutant)
dt$g <- units::set_units(dt$emissions, "g")
dt$t <- units::set_units(dt$g, t)
dt0 <- dt[pollutant == "FC",
round(sum(t), 2),
by = .(fuel)
]
data.table::setkey(dt0, "fuel")
names(dt0)[2] <- "estimation_t"
dtf <- merge(dt0, fuel, by = "fuel")
setorderv(dtf, cols = c("fuel"))
dtf$density_tm3 <- units::set_units(dtf$density_tm3, "t/m^3")
dtf$consumption_lt <- units::set_units(dtf$consumption_lt, "l")
dtf$consumption_m3 <- units::set_units(dtf$consumption_lt, "m^3")
dtf$consumption_t <- dtf$consumption_m3 * dtf$density_tm3
dtf$estimation_consumption <- dtf$estimation_t / dtf$consumption_t
print(dtf[, c("fuel", "estimation_t", "consumption_t", "estimation_consumption")])
switch(language,
"portuguese" = message("Limpando..."),
"english" = message("Cleaning..."),
"spanish" = message("Limpiando...")
)
# suppressWarnings(rm(i, j, pol, dt, dt0, dtf, factor_emi, fuel))
# suppressWarnings(rm(
# kPC, kPC_G, kPC_E, kPC_FG, kPC_FE,
# kLCV, kLCV_G, kLCV_E, kLCV_FG, kLCV_FE, kLCV_D,
# kTRUCKS, kTRUCKS_SL_D, kTRUCKS_L_D, kTRUCKS_M_D, kTRUCKS_SH_D, kTRUCKS_H_D,
# kBUS, kBUS_URBAN_D, kBUS_MICRO_D, kBUS_COACH_D,
# kMC, kMC_150_G, kMC_150_500_G, kMC_500_G,
# kMC_150_FG, kMC_150_500_FG, kMC_500_FG,
# kMC_150_FE, kMC_150_500_FE, kMC_500_FE,
# l_PC, l_LCV, l_TRUCKS, l_BUS, l_MC,
# i, arquivos, cores, df, f, ff,
# n_PC, n_LCV, n_TRUCKS, n_BUS, n_MC,
# na, nveh, p, tit, tit2, veiculos, x, kf,
# k_G, k_D, k_E,
# ))
ls()
invisible(gc())
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