Thermal model of an unconditioned, heated and ventilated seat to predict human thermo-physiological response and local thermal sensation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F19%3APU134328" target="_blank" >RIV/00216305:26210/19:PU134328 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S0360132319307838?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0360132319307838?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.buildenv.2019.106571" target="_blank" >10.1016/j.buildenv.2019.106571</a>

Result language

angličtina

Original language name

Thermal model of an unconditioned, heated and ventilated seat to predict human thermo-physiological response and local thermal sensation

Original language description

Local conditioning technologies such as seat heating and ventilation have been shown to improve thermal sensation and comfort, with reduced energy demands compared to conventional methods of heating and cooling. Investigation of the conditioning effectivity is demanding in terms of time and resources, as it is mainly based on human subject or thermal manikin testing. One promising method of rapidly investigating a wide range of environmental conditions is thermo-physiological and thermal sensation modelling. Until now, however, one of the most important properties of the seat, its thermal diffusivity, has been neglected in such simulations. We therefore developed a methodology that involves one-dimensional, thermal model of the seat coupled with a multi-node thermo-physiological model and thermal sensation models. The seat thermal model showed realistic predictions of heat flux in the seat contact interface for control (no conditioning), heated, and ventilated seats. The modelling results were validated against our original experimental data and data from the literature for unconditioned. The root mean square deviation (RMSD) and bias of the local skin temperatures were within the standard deviation of the measurement, typically within 1°C. In the case of the predicted local thermal sensations, we found the RMSD and bias to be below two standard deviations of the human votes in two out of three of the thermal sensation models examined. Less accurate predictions were found for the seat contact, where further model refinement is needed.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20303 - Thermodynamics

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

BUILDING AND ENVIRONMENT

ISSN

0360-1323

e-ISSN

1873-684X

Volume of the periodical

169

Issue of the periodical within the volume

2020

Country of publishing house

GB - UNITED KINGDOM

Number of pages

14

Pages from-to

1-15

UT code for WoS article

000532293100017

EID of the result in the Scopus database

2-s2.0-85076612000