calcPPD: Predicted Percentage of Dissatisfied (PPD)

In marcelschweiker/comfort_R: Models and Equations for Human Comfort Research

Predicted Percentage of Dissatisfied (PPD)

Description

Function to calculate Predicted Percentage of Dissatisfied (PPD).

Usage

calcPPD(ta, tr, vel, rh, clo=.5, met=1, wme=0, basMet=58.15)

Arguments

ta	a numeric value presenting air temperature in [degree C]
tr	a numeric value presenting mean radiant temperature in [degree C]
vel	a numeric value presenting air velocity in [m/s]
rh	a numeric value presenting relative humidity [%]
clo	a numeric value presenting clothing insulation level in [clo]
met	a numeric value presenting metabolic rate in [met]
wme	a numeric value presenting external work in [met]
basMet	a numeric value presenting basal metabolic rate [w/m2]

Details

The PPD is an index that establishes a quantitative prediction of the percentage of thermally dissatisfied people determined from PMV.

Note that the adjustments in the value for basMet need to be made with great cautiousness as the PMV calculation is an empirical model and might not be valid for other values of basMet than the one commonly used.

Value

PPD - Predicted Percentage of Dissatisfied occupants in [%]

Author(s)

Code implemented in to R by Marcel Schweiker. Further contribution by Sophia Mueller and Shoaib Sarwar.

References

Fanger (1970) Thermal Comfort Analysis and Applications in Environmental Engineering McGraw-Hill, New York.

ISO 7730 Ergonomics of the thermal environment analytical determination and interpretation of thermal comfort using calculation of the pmv and ppd indices and local thermal comfort criteria 2005.

Examples

calcPPD(25,25,0.3,50,0.5,1)

marcelschweiker/comfort_R documentation built on Feb. 22, 2024, 9:04 p.m.