comf (version 0.1.9)

calcCOEFF: Calculation of Coefficients for aPMV, ePMV, aPTS, ePTS

Description

The functions calcCOEFF calculate the coefficients necessary for apmv, epmv, apts, and epts based on a given dataset with actual comfort votes. calcapCoeff calculates lambda the adaptive coefficients for apmv, calcepCoeff calculates e the expectancy factor for epmv, calcasCoeff calculates lambda the adaptive coefficients for apts, calcesCoeff calculates e the expectancy factor for epts.

Usage

calcapCoeff(lsCond)
calcepCoeff(lsCond)
calcasCoeff(lsCond)
calcesCoeff(lsCond)

Arguments

lsCond

a list with vectors for the necessary variables (see details)

Value

calcCOEFF returns the adaptive coefficients lambda or expectancy factor depending on its call.

Details

For calcapCoeff and calcepCoeff, lsCond should contain the following variables: ta, tr, vel, rh, clo, met, wme, asv (see createCond for details). In case one or more of these variables are not included in the list, standard values will be used. For calcasCoeff and calcesCoeff, lsCond should contain the following variables: ta, tr, vel, rh, clo, met, wme, pb, ltime, ht, wt, asv (see createCond for details). In case one or more of these variables are not included in the list, standard values will be used.

References

Coefficients are calculated based on Gao, J.; Wang, Y. and Wargocki, P. Comparative analysis of modified PMV models and set models to predict human thermal sensation in naturally ventilated buildings Building and Environment, 2015, 92, 200-208.

The apmv concept was introduced by Yao, R.; Li, B. and Liu, J. A theoretical adaptive model of thermal comfort - Adaptive Predicted mean Vote (apmv) Building and Environment, 2009, 44, 2089-2096.

The epmv concept was introudced by Fanger, P. and Toftum, J. Extension of the PMV model to non-air-conditioned buildings in warm climates Energy and Buildings, 2002, 34, 533-536.

See Also

see also calcaPMV, calcePMV, calcPtsa, calcPtse

Examples

# NOT RUN {
## Note. Due to random generated asv values. The values for the coefficients will not be meaningful.
## Create sample data
ta  <- 20:24      # vector with air temperature values
tr  <- ta         # vector with radiant temperature values
vel <- rep(.1,5)  # vector with air velocities
rh  <- rep(50,5)  # vector with relative humidity values
clo <- rep(1.0,5) # vector with clo values
met <- rep(1.1,5) # vector with metabolic rates
asv <- rnorm(5)   # vector with actual sensation votes

lsCond <- as.list(data.frame(ta,tr,vel,rh,clo,met,asv))

## Calculate coefficients

calcapCoeff(lsCond)
calcepCoeff(lsCond)
calcasCoeff(lsCond)
calcesCoeff(lsCond)

## use coefficients to calculate apmv
lsCond$apCoeffc[1] <- calcapCoeff(lsCond)$apCoeffc
lsCond$apCoeffw[1] <- calcapCoeff(lsCond)$apCoeffw
calcComfInd(lsCond, request="apmv")
# }