UTCI-Fiala multi-node model of human heat transfer and temperature regulation

By D. Fiala, G. Havenith, P. Bröde, B. Kampmann, G. Jendritzky. International journal of biometeorology, 2012

899 citations recorded by the source corpus.

The UTCI-Fiala mathematical model of human temperature regulation forms the basis of the new Universal Thermal Climate Index (UTC). Following extensive validation tests, adaptations and extensions, such as the inclusion of an adaptive clothing model, the model was used to predict human temperature and regulatory responses for combinations of the prevailing outdoor climate conditions. This paper provides an overview of the underlying algorithms and methods that constitute the multi-node dynamic UTCI-Fiala model of human thermal physiology and comfort. Treated topics include modelling heat and mass transfer within the body, numerical techniques, modelling environmental heat exchanges, thermoregulatory reactions of the central nervous system, and perceptual responses. Other contributions of this special issue describe the validation of the UTCI-Fiala model against measured data and the development of the adaptive clothing model for outdoor climates.

Subfields: Health, Toxicology and Mutagenesis, Physiology, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/d5bfc9359ee61f8a74d06338c4b9949cb379d9ca

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Health, Toxicology and Mutagenesis

1. Yung-Chang Chen
2. Andreas Matzarakis

In Physiology

1. Yung-Chang Chen
2. Andreas Matzarakis

In Radiology, Nuclear Medicine and Imaging

1. Yung-Chang Chen
2. Andreas Matzarakis

Citations in the corpus

• Modified physiologically equivalent temperature—basics and applications for western European climate (2018, methodology): “…with 342 nodes can only implement a simple clothing model, which has two parameterized functions for dominating independently sensible and latent heat over clothing, to quantify the influence of clothing without condensation phenomena on human thermal sensation (Fiala et al. 1999, 2001, 2011).”