projects/MASP_2020/scripts/fuel_eval.R

In ibarraespinosa/vein: Vehicular Emissions Inventories

# calibração combustivel http://dadosenergeticos.energia.sp.gov.br/portalcev2/intranet/PetroGas/index.html
names(met)
year
month <- met$Month
date <- as.Date(ISOdate(year, month, 1,0,0))

numberOfDays <- function(date) {
  m <- format(date, format="%m")
  
  while (format(date, format="%m") == m) {
    date <- date + 1
  }
  return(as.integer(format(date - 1, format="%d")))
}

factor_emi <- numberOfDays(date = date) # daily to month

# tfs
tfs <- as.data.frame(tfs)

# Escapamento ####
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"))

  for (j in seq_along(pol)) {
    cat(pol[j], " ")

    ef <- ef_cetesb(
      p = pol[j],
      veh = metadata$vehicles[i],
      year = year,
      agemax = nrow(x),
      verbose = verbose,
      scale = scale
    )

    array_x <- emis(
      veh = x,
      lkm = lkm,
      ef = ef,
      profile = tfs[[metadata$vehicles[i]]],
      fortran = TRUE,
      nt = check_nt() / 2,
      simplify = TRUE,
      verbose = verbose
    )

    x_DF <- emis_post(
      arra = array_x,
      veh = metadata$vehicles[i],
      size = metadata$size[i],
      fuel = metadata$fuel[i],
      pollutant = pol[j],
      type_emi = "Exhaust",
      by = "veh"
    )


    saveRDS(x_DF,
      file = paste0(
        "emi/",
        metadata$vehicles[i], "/",
        metadata$vehicles[i], "_",
        pol[j],
        "_DF.rds"
      )
    )
  }
  rm(array_x, ef, x, x_DF)
}

switch(language,
  "portuguese" = message("\nArquivos em: /emi/*:"),
  "english" = message("\nFiles in: /emi/*"),
  "spanish" = message("\nArchivos en: /emi/*")
)

# data.table ####
dt <- data.table::rbindlist(
  lapply(seq_along(pol), function(i) {
    pols <- ifelse(pol[i] == "HC", "_HC", pol[i])
    emis_merge(pols, what = "DF.rds", FALSE, verbose = FALSE)
  })
)
dt$pollutant <- as.character(dt$pollutant)
dt$t <- units::set_units(dt$g, t)

dt0 <- dt[pollutant == "FC", round(sum(t) * factor_emi, 2), by = .(fuel)]
data.table::setkey(dt0, "fuel")

names(dt0)[2] <- "estimation_t"

dtf <- dt0[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")])


# 2) Traffic ####
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")
k_D                <- as.numeric(1/dtf[dtf$fuel == "D", ]$estimation_consumption)
k_E                <- as.numeric(1/dtf[dtf$fuel == "E", ]$estimation_consumption)
k_G                <- as.numeric(1/dtf[dtf$fuel == "G", ]$estimation_consumption)
verbose            <- FALSE
theme              <- "black" # dark clean ink
source("scripts/trafficfuel.R", encoding = "UTF-8")

# Re estimating FC ####
file.remove(list.files("emi", recursive = T, full.names = T))


# Escapamento ####
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"))
  
  for (j in seq_along(pol)) {
    cat(pol[j], " ")
    
    ef <- ef_cetesb(
      p = pol[j],
      veh = metadata$vehicles[i],
      year = year,
      agemax = nrow(x),
      verbose = verbose,
      scale = scale
    )
    
    array_x <- emis(
      veh = x,
      lkm = lkm,
      ef = ef,
      profile = tfs[[metadata$vehicles[i]]],
      fortran = TRUE,
      nt = check_nt() / 2,
      simplify = TRUE,
      verbose = verbose
    )
    
    x_DF <- emis_post(
      arra = array_x,
      veh = metadata$vehicles[i],
      size = metadata$size[i],
      fuel = metadata$fuel[i],
      pollutant = pol[j],
      type_emi = "Exhaust",
      by = "veh"
    )
    
    
    saveRDS(x_DF,
            file = paste0(
              "emi/",
              metadata$vehicles[i], "/",
              metadata$vehicles[i], "_",
              pol[j],
              "_DF.rds"
            )
    )
  }
  rm(array_x, ef, x, x_DF)
}

switch(language,
       "portuguese" = message("\nArquivos em: /emi/*:"),
       "english" = message("\nFiles in: /emi/*"),
       "spanish" = message("\nArchivos en: /emi/*")
)

# data.table ####
dt <- data.table::rbindlist(
  lapply(seq_along(pol), function(i) {
    pols <- ifelse(pol[i] == "HC", "_HC", pol[i])
    emis_merge(pols, what = "DF.rds", FALSE, verbose = FALSE)
  })
)
dt$pollutant <- as.character(dt$pollutant)
dt$t <- units::set_units(dt$g, t)

dt0 <- dt[pollutant == "FC", round(sum(t) * factor_emi, 2), by = .(fuel)]
data.table::setkey(dt0, "fuel")

names(dt0)[2] <- "estimation_t"

dtf <- dt0[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$consumption_t <- round(dtf$consumption_m3 * dtf$density_tm3, 2)
dtf$estimation_consumption <- round(dtf$estimation_t / dtf$consumption_t, 2)
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))

ls()
invisible(gc())