comf-package: Calculation and Evaluation of Common and Less Common Comfort...

In comf: Models and Equations for Human Comfort Research

Calculation and Evaluation of Common and Less Common Comfort Indices

Description

This package contains several functions to calculate and evaluate a series of comfort indices.

Details

Package:	comf
Type:	Package
Version:	0.1.12
Date:	2024-01-29
License:	GPL-2
LazyLoad:	yes

To create input parameters, the function createCond, which creates a list of input parameters may be helpful. The main function of this packages is calcComfInd, which returns the desired comfort parameters. However, each index can be computed using its own function, e.g. to calculate only PMV the function calcPMV can be used.

The comfort indices calculated within this package are for example as follows. To get further information, go to the help page, which can be accessed using the index below e.g. ?pmv:

Index	Description
pmv	Predicted mean vote (PMV)
ppd	Predicted precentage dissatisfied (PPD)
tnHumphreysNV	Neutral temperature in naturally ventilated buildings according to Humphreys 1978
tnHumphreysAC	Neutral temperature in climate-controlled buildings according to Humphreys 1978
tnAuliciems	Neutral temperature according to Auliciems 1981
tAdapt15251	Adaptive comfort temperature according to EN 15251
dTNZ	Distance to thermoneutral zone
ATHBpmv	Adaptive thermal heat balance vote based on pmv
ATHBset	Adaptive standard effective temperature
ATHBpts	Adaptive thermal heat balance vote based on set
apmv	Adaptive predicted mean vote according to Yao et al.
ptsa	Adaptive predicted thermal sensation vote according to Gao et al.
epmv	PMV adjusted with expectancy factor based on Fanger and toftum
ptse	Predicted thermal sensation vote based on set and adjusted with expectancy factor according to Gao et al.
set	standard effective temperature based on two node model by Gagge et al.
et	Effective temperature based on two node model by Gagge et al.
tsens	Predicted thermal sensation
disc	Predicted discomfort
ps	Predicted percentage satisfied with the level of air movement
pd	Predicted percentage dissatisfied due to draft
pts	Predicted thermal sensation vote based on set
HBxst	Human body exergy consumption rate using steady state method
PHS	Predicted heat strain

The performance criteria included in this package are presented below. Again you can get further information on the corresponding help pages:

Index	Description
meanBias	Mean bias between predicted and observed thermal sensation vote
TPR	True positive rate
avgAcc	Average accuracy of predicted thermal sensation vote

Author(s)

Marcel Schweiker in cooperation with Sophia Mueller and many others.

Contact: [e-mail]

References

See references in function descriptions.

See Also

see also createCond, calcComfInd

comf documentation built on May 29, 2024, 8:02 a.m.