Literature DB >> 24830755

Dynamic modeling of human thermal comfort after the transition from an indoor to an outdoor hot environment.

George Katavoutas1, Helena A Flocas, Andreas Matzarakis.   

Abstract

Thermal comfort under non-steady-state conditions primarily deals with rapid environmental transients and significant alterations of the meteorological conditions, activity, or clothing pattern within the time scale of some minutes. In such cases, thermal history plays an important role in respect to time, and thus, a dynamic approach is appropriate. The present study aims to investigate the dynamic thermal adaptation process of a human individual, after his transition from a typical indoor climate to an outdoor hot environment. Three scenarios of thermal transients have been considered for a range of hot outdoor environmental conditions, employing the dynamic two-node IMEM model. The differences among them concern the radiation field, the activity level, and the body position. The temporal pattern of body temperatures as well as the range of skin wettedness and of water loss have been investigated and compared among the scenarios and the environmental conditions considered. The structure and the temporal course of human energy fluxes as well as the identification of the contribution of body temperatures to energy fluxes have also been studied and compared. In general, the simulation results indicate that the response of a person, coming from the same neutral indoor climate, varies depending on the scenario followed by the individual while being outdoors. The combination of radiation field (shade or not) with the kind of activity (sitting or walking) and the outdoor conditions differentiates significantly the thermal state of the human body. Therefore, 75% of the skin wettedness values do not exceed the thermal comfort limit at rest for a sitting individual under the shade. This percentage decreases dramatically, less than 25%, under direct solar radiation and exceeds 75% for a walking person under direct solar radiation.

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Year:  2014        PMID: 24830755     DOI: 10.1007/s00484-014-0836-2

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  12 in total

1.  The physiological equivalent temperature - a universal index for the biometeorological assessment of the thermal environment.

Authors:  P Höppe
Journal:  Int J Biometeorol       Date:  1999-10       Impact factor: 3.787

2.  A new approach using the Pierce two-node model for different body parts.

Authors:  Ehab Foda; Kai Sirén
Journal:  Int J Biometeorol       Date:  2010-10-30       Impact factor: 3.787

3.  Differences in comfort perception in relation to local and whole body skin wettedness.

Authors:  Takako Fukazawa; George Havenith
Journal:  Eur J Appl Physiol       Date:  2009-01-22       Impact factor: 3.078

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Authors:  Y Nishi; A P Gagge
Journal:  Aviat Space Environ Med       Date:  1977-02

5.  It's about time: a comparison of Canadian and American time-activity patterns.

Authors:  Judith A Leech; William C Nelson; Richard T Burnett; Shawn Aaron; Mark E Raizenne
Journal:  J Expo Anal Environ Epidemiol       Date:  2002-11

6.  Computer prediction of human thermoregulatory and temperature responses to a wide range of environmental conditions.

Authors:  D Fiala; K J Lomas; M Stohrer
Journal:  Int J Biometeorol       Date:  2001-09       Impact factor: 3.787

Review 7.  Heat balance modelling.

Authors:  P R Höppe
Journal:  Experientia       Date:  1993-09-15

8.  Aspects of human biometeorology in past, present and future.

Authors:  P Höppe
Journal:  Int J Biometeorol       Date:  1997-02       Impact factor: 3.787

9.  Daily time spent indoors in German homes--baseline data for the assessment of indoor exposure of German occupants.

Authors:  Sabine Brasche; Wolfgang Bischof
Journal:  Int J Hyg Environ Health       Date:  2005       Impact factor: 5.840

10.  Modelling radiation fluxes in simple and complex environments: basics of the RayMan model.

Authors:  Andreas Matzarakis; Frank Rutz; Helmut Mayer
Journal:  Int J Biometeorol       Date:  2009-09-12       Impact factor: 3.787

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