calcATHBset: SET based on Adaptive Thermal Heat Balance Framework

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

SET based on Adaptive Thermal Heat Balance Framework

Description

Calculation of SET based on Adaptive Thermal Heat Balance framework using Gagge's 2-node model

Usage

calcATHBset(trm, psych, ta, tr, vel, rh, met, wme = 0, pb = 760, 
                      ltime = 60, ht = 171, wt = 69.9)

Arguments

trm	- Running mean outdoor temperature in [degree C]
psych	- factor related to fixed effect on perceived control
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 [%]
met	- a numeric value presenting metabolic rate in [met]
wme	- a numeric value presenting external work in [met]
pb	- a numeric value presenting barometric pressure in [torr] or [mmHg]
ltime	- a numeric value presenting exposure time in [minutes]
ht	- a numeric value presenting body height in [cm]
wt	- a numeric value presenting body weight in [kg]

Details

All variables must have the same length 1. For the calculation of several values use function calcComfInd.

Value

ATHBset set value adapted through the ATHB appoach

Author(s)

Marcel Schweiker

References

Schweiker & Wagner (2015) <doi:10.1016/j.buildenv.2015.08.018> Schweiker & Wagner (2016) Exploring potentials and limitations of the adaptive thermal heat balance framework Proceedings of 9th Windsor Conference: making comfort relevant Cumberland Lodge, Windsor, UK, 2016

See Also

see also calcComfInd, link{calcATHBpmv}, link{calcATHBpts}

Examples

calcATHBset(20, 0, 25, 25, .1, 50, 1.1, 0, 760, 60, 171, 70)

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