Thermal sensation: a mathematical model based on neurophysiology
2011; Wiley; Volume: 22; Issue: 3 Linguagem: Inglês
10.1111/j.1600-0668.2011.00758.x
ISSN1600-0668
AutoresBoris Kingma, L. Schellen, Ajh Arjan Frijns, Wouter D. van Marken Lichtenbelt,
Tópico(s)Urban Heat Island Mitigation
ResumoIndoor AirVolume 22, Issue 3 p. 253-262 Thermal sensation: a mathematical model based on neurophysiology B. R. M. Kingma, B. R. M. Kingma Department of Human Biology, NUTRIM School for Nutrition, Toxicology and Metabolism of Maastricht University Medical Center+, Maastricht, The NetherlandsSearch for more papers by this authorL. Schellen, L. Schellen Department of Architecture, Building and Planning, Unit Building Physics and Systems, Eindhoven University of Technology, Eindhoven, The NetherlandsSearch for more papers by this authorA. J. H. Frijns, A. J. H. Frijns Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The NetherlandsSearch for more papers by this authorW. D. van Marken Lichtenbelt, W. D. van Marken Lichtenbelt Department of Human Biology, NUTRIM School for Nutrition, Toxicology and Metabolism of Maastricht University Medical Center+, Maastricht, The NetherlandsSearch for more papers by this author B. R. M. Kingma, B. R. M. Kingma Department of Human Biology, NUTRIM School for Nutrition, Toxicology and Metabolism of Maastricht University Medical Center+, Maastricht, The NetherlandsSearch for more papers by this authorL. Schellen, L. Schellen Department of Architecture, Building and Planning, Unit Building Physics and Systems, Eindhoven University of Technology, Eindhoven, The NetherlandsSearch for more papers by this authorA. J. H. Frijns, A. J. H. Frijns Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The NetherlandsSearch for more papers by this authorW. D. van Marken Lichtenbelt, W. D. van Marken Lichtenbelt Department of Human Biology, NUTRIM School for Nutrition, Toxicology and Metabolism of Maastricht University Medical Center+, Maastricht, The NetherlandsSearch for more papers by this author First published: 22 November 2011 https://doi.org/10.1111/j.1600-0668.2011.00758.xCitations: 51 B. Kingma Department of Human Biology Maastricht University Universiteitssingel 50, PO Box 616, NL-6200 MD Maastricht, The Netherlands Tel.: +31 (0)43 388 42 60 Fax: +31 (0)43 367 09 76 e-mail: [email protected] Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Abstract Thermal sensation has a large influence on thermal comfort, which is an important parameter for building performance. Understanding of thermal sensation may benefit from incorporating the physiology of thermal reception. The main issue is that humans do not sense temperature directly; the information is coded into neural discharge rates. This manuscript describes the development of a mathematical model of thermal sensation based on the neurophysiology of thermal reception. Experimental data from two independent studies were used to develop and validate the model. In both studies, skin and core temperature were measured. Thermal sensation votes were asked on the seven-point ASHRAE thermal sensation scale. For the development dataset, young adult males (N = 12, 0.04Clo) were exposed to transient conditions; Tair 30-20-35-30°C. For validation, young adult males (N = 8, 1.0Clo) were exposed to transient conditions; Tair: 17-25-17°C. The neurophysiological model significantly predicted thermal sensation for the development dataset (r2 = 0.89, P < 0.001). Only information from warm-sensitive skin and core thermoreceptors was required. Validation revealed that the model predicted thermal sensation within acceptable range (root mean squared residual = 0.38). The neurophysiological model captured the dynamics of thermal sensation. Therefore, the neurophysiological model of thermal sensation can be of great value in the design of high-performance buildings. Practical Implications The presented method, based on neurophysiology, can be highly beneficial for predicting thermal sensation under complex environments with respect to transient environments. References Arens, E., Zhang, H. and Huizenga, C. (2006) Partial- and whole-body thermal sensation and comfort – Part II: non-uniform environmental conditions, J. Therm. Biol., 31, 60– 66. ASHRAE (2004) Standard 55: Thermal Environmental Conditions for Human Occupancy, ASHRAE. Benzinger, T.H. (1969) Heat regulation: homeostasis of central temperature in man, Physiol. Rev., 49, 671– 759. Boerstra, A., Opt Veld, P. and Eijdems, H. 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Citing Literature Volume22, Issue3June 2012Pages 253-262 ReferencesRelatedInformation
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