#' get_clo - auxiliary function for HomoTherm
#'
#' This function takes the output from the HomoTherm model and computes the
#' surface area-weighted insulation, reported back in 'clo' units.
#' @encoding UTF-8
#' @param indata the HomoTherm output list
#' @param INSDEPDs = c(1e-02, rep(6e-03, 3)), clothing depth, dorsal (m)
#' @param INSDEPVs = c(1e-09, rep(6e-03, 3)), clothing depth, ventral (m)
#' @param AREAFRACs = c(0.08291887, 0.32698460, 0.11025155, 0.18479669), fractional areas (-)
#' @usage get_clo(HomoTherm.out, INSDEPDs = c(1e-02, rep(4.1e-03, 3)), INSDEPVs = c(1e-09, rep(4.1e-03, 3)))
#' @export
get_clo <- function(indata, # the output from HomoTherm
INSDEPDs = c(1e-02, rep(4.1e-03, 3)),
INSDEPVs = c(1e-09, rep(4.1e-03, 3)),
AREAFRACs = c(0.08291887, 0.32698460, 0.11025155, 0.18479669)){
# surface-area weighted mean clothing thermal conductivity
k_clo <- (indata$head.treg[8] + indata$head.treg[9]) / 2 * AREAFRACs[1] +
(indata$trunk.treg[8] + indata$trunk.treg[9]) / 2 * AREAFRACs[2] +
(indata$arm.treg[8] + indata$arm.treg[9]) / 2 * AREAFRACs[3] * 2 +
(indata$leg.treg[8] + indata$leg.treg[9]) / 2 * AREAFRACs[4] * 2 # W/m/K
# surface-area weighted mean clothing depth
INSDEP <- mean(c(INSDEPDs[1], INSDEPVs[1]) * AREAFRACs[1] +
mean(c(INSDEPDs[2], INSDEPVs[2])) * AREAFRACs[2] +
mean(c(INSDEPDs[3], INSDEPVs[3])) * AREAFRACs[3] * 2 +
mean(c(INSDEPDs[4], INSDEPVs[4])) * AREAFRACs[4] * 2) # m
# calculate implied CLO
clo <- INSDEP / (k_clo * 0.155)
names(clo) <- 'clo'
clo
}
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