Thermal modelling of individual characteristics (Modellering van de individuele thermische reactie).

One of the major gaps in the prediction of heat stress response is the limited implementation of individual characteristics in prediction models. Without this individualization, the evaluation of the resultant average group response prediction necessitates the use of very conservative limit values f...

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Main Author:	George Havenith
Format:	Default Report
Published:	1997
Subjects:	Design not elsewhere classified untagged Design Practice and Management not elsewhere classified
Online Access:	https://hdl.handle.net/2134/25023
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id	rr-article-9354386
record_format	Figshare
spelling	rr-article-93543861997-01-01T00:00:00Z Thermal modelling of individual characteristics (Modellering van de individuele thermische reactie). George Havenith (1383810) Design not elsewhere classified untagged Design Practice and Management not elsewhere classified One of the major gaps in the prediction of heat stress response is the limited implementation of individual characteristics in prediction models. Without this individualization, the evaluation of the resultant average group response prediction necessitates the use of very conservative limit values for body temperature increase. This is caused by the wide range of responses observed within a group. The present study aimed at the implementation of individual characteristics in a heat stress prediction model (THDYN), in order to investigate whether this would indeed result in a more precise prediction with less variance between predicted and observed responses. For this purpose, the relevant parameters related to anthropometric characteristics (body surface area A sub 0, body tissue conductance, body heat capacity), sweating and skin blood flow control (training and acclimation) were introduced in the model. The parameters were derived from literature. Next, data sets which were not used for the parameter estimation were used for a validation of the model changes. It was found that the individualized model indeed provided an improved prediction. The size of the improvement varied with the climate and the work type however. The best predictions for body heat storage were observed for fixed work loads in a warm humid and in a hot dry climate and for work loads relative to the individual maximum in a warm humid climate (Explained variance 27-53%). For relative work loads in a cool and in a hot dry climate the models predictive capacity for individuals was not significantly improved (<10%). 1997-01-01T00:00:00Z Text Report 2134/25023 https://figshare.com/articles/report/Thermal_modelling_of_individual_characteristics_Modellering_van_de_individuele_thermische_reactie_/9354386 CC BY-NC-ND 4.0
institution	Loughborough University
collection	Figshare
topic	Design not elsewhere classified untagged Design Practice and Management not elsewhere classified
spellingShingle	Design not elsewhere classified untagged Design Practice and Management not elsewhere classified George Havenith Thermal modelling of individual characteristics (Modellering van de individuele thermische reactie).
description	One of the major gaps in the prediction of heat stress response is the limited implementation of individual characteristics in prediction models. Without this individualization, the evaluation of the resultant average group response prediction necessitates the use of very conservative limit values for body temperature increase. This is caused by the wide range of responses observed within a group. The present study aimed at the implementation of individual characteristics in a heat stress prediction model (THDYN), in order to investigate whether this would indeed result in a more precise prediction with less variance between predicted and observed responses. For this purpose, the relevant parameters related to anthropometric characteristics (body surface area A sub 0, body tissue conductance, body heat capacity), sweating and skin blood flow control (training and acclimation) were introduced in the model. The parameters were derived from literature. Next, data sets which were not used for the parameter estimation were used for a validation of the model changes. It was found that the individualized model indeed provided an improved prediction. The size of the improvement varied with the climate and the work type however. The best predictions for body heat storage were observed for fixed work loads in a warm humid and in a hot dry climate and for work loads relative to the individual maximum in a warm humid climate (Explained variance 27-53%). For relative work loads in a cool and in a hot dry climate the models predictive capacity for individuals was not significantly improved (
format	Default Report
author	George Havenith
author_facet	George Havenith
author_sort	George Havenith (1383810)
title	Thermal modelling of individual characteristics (Modellering van de individuele thermische reactie).
title_short	Thermal modelling of individual characteristics (Modellering van de individuele thermische reactie).
title_full	Thermal modelling of individual characteristics (Modellering van de individuele thermische reactie).
title_fullStr	Thermal modelling of individual characteristics (Modellering van de individuele thermische reactie).
title_full_unstemmed	Thermal modelling of individual characteristics (Modellering van de individuele thermische reactie).
title_sort	thermal modelling of individual characteristics (modellering van de individuele thermische reactie).
publishDate	1997
url	https://hdl.handle.net/2134/25023
_version_	1797556698001440768

Thermal modelling of individual characteristics (Modellering van de individuele thermische reactie).

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