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A computer model of human thermoregulation for a wide range of environmental conditions: the passive system

Fiala, Dusan, Lomas, Kevin J., Stohrer, Martin·1999·Journal of Applied Physiology

Abstract

A dynamic model predicting human thermal responses in cold, cool, neutral, warm, and hot environments is presented in a two-part study. This, the first paper, is concerned with aspects of the passive system: 1) modeling the human body, 2) modeling heat-transport mechanisms within the body and at its periphery, and 3) the numerical procedure. A paper in preparation will describe the active system and compare the model predictions with experimental data and the predictions by other models. Here, emphasis is given to a detailed modeling of the heat exchange with the environment: local variations of surface convection, directional radiation exchange, evaporation and moisture collection at the skin, and the nonuniformity of clothing ensembles. Other thermal effects are also modeled: the impact of activity level on work efficacy and the change of the effective radiant body area with posture. A stable and accurate hybrid numerical scheme was used to solve the set of differential equations. Predictions of the passive system model are compared with available analytic solutions for cylinders and spheres and show good agreement and stable numerical behavior even for large time steps.

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Metadata

Authors
Fiala, D., Lomas, K. J., & Stohrer, M.
Venue
Journal of Applied Physiology
Published
1999-11-01
Volume
87
Issue
5
Pages
1957-1972
ISSN
  • 0161-7567 (ISSN-L)
  • 8750-7587
  • 1522-1601
OpenAlex
W37229937
Cited by
849
References
0
FWCI
1.21
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A computer model of human thermoregulation for a wide range of environmental conditions: the passive system. https://app.cochat.ai/papers/10.1152/jappl.1999.87.5.1957
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Fiala, D., Lomas, K. J., & Stohrer, M. (1999). A computer model of human thermoregulation for a wide range of environmental conditions: the passive system. Journal of Applied Physiology. https://doi.org/10.1152/jappl.1999.87.5.1957

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.