Thermal sensation models: a systematic comparison

Thermal sensation models, capable of predicting human's perception of thermal surroundings, are commonly used to assess given indoor conditions. These models differ in many aspects, such as the number and type of input conditions, the range of conditions in which the models can be applied, and...

Full description

Saved in:
Bibliographic Details
Published in:Indoor air Vol. 27; no. 3; pp. 680 - 689
Main Authors: Koelblen, B., Psikuta, A., Bogdan, A., Annaheim, S., Rossi, R. M.
Format: Journal Article
Language:English
Published: England John Wiley & Sons, Inc 01.05.2017
Subjects:
ISSN:0905-6947, 1600-0668
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Thermal sensation models, capable of predicting human's perception of thermal surroundings, are commonly used to assess given indoor conditions. These models differ in many aspects, such as the number and type of input conditions, the range of conditions in which the models can be applied, and the complexity of equations. Moreover, the models are associated with various thermal sensation scales. In this study, a systematic comparison of seven existing thermal sensation models has been performed with regard to exposures including various air temperatures, clothing thermal insulation, and metabolic rate values after a careful investigation of the models’ range of applicability. Thermo‐physiological data needed as input for some of the models were obtained from a mathematical model for human physiological responses. The comparison showed differences between models’ predictions for the analyzed conditions, mostly higher than typical intersubject differences in votes. Therefore, it can be concluded that the choice of model strongly influences the assessment of indoor spaces. The issue of comparing different thermal sensation scales has also been discussed.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Article-2
ObjectType-Feature-1
content type line 23
ISSN:0905-6947
1600-0668
DOI:10.1111/ina.12329