Re-evaluation of Stolwijk's 25-node human thermal model under thermal-transient conditions: Prediction of skin temperature in low-activity conditions

Abstract The performance of Stolwijk's 25-node thermal model of the human body was evaluated for the prediction of the skin temperature of a sedentary person in a thermal-transient state. The skin temperature calculated by the original Stolwijk model was compared to experimental data obtained systematically from a large number of subjects exposed to stepwise changes in environmental conditions, including neutral (29.4 °C), low (19.5 °C), and high (38.9 °C) ambient temperatures. The results show that the original Stolwijk model accurately predicts both the absolute value and the tendency in the transient mean skin temperature. This suggests that the Stolwijk model is valid for the prediction of the transient mean skin temperature for the “average” person under low-activity conditions. Discrepancies are observed in the local skin temperature for some segments. However, these discrepancies can be significantly reduced through modification of the basal skin blood flow distributions and the distributions of vasoconstriction and workload in the model.

[1]  Hui Zhang,et al.  Considering individual physiological differences in a human thermal model , 2001 .

[2]  P. Tikuisis,et al.  Evaluation of two cold thermoregulatory models for prediction of core temperature during exercise in cold water. , 2007, Journal of applied physiology.

[3]  A. P. Gagge,et al.  An Effective Temperature Scale Based on a Simple Model of Human Physiological Regulatiry Response , 1972 .

[4]  Shintaro Yokoyama,et al.  Prediction computer program for whole body temperatures and its application under various working level and thermal environmental condition combinations. , 2007, Industrial health.

[5]  Refrigerating ASHRAE handbook of fundamentals , 1967 .

[6]  J. Werner,et al.  A dynamic model of the human/clothing/environment-system. , 1997, Applied human science : journal of physiological anthropology.

[7]  K. Lomas,et al.  Computer prediction of human thermoregulatory and temperature responses to a wide range of environmental conditions , 2001, International journal of biometeorology.

[8]  Hui Zhang,et al.  Modeling thermal comfort in stratified environments , 2005 .

[9]  K. Lomas,et al.  A computer model of human thermoregulation for a wide range of environmental conditions: the passive system. , 1999, Journal of applied physiology.

[10]  T. Y. Bong,et al.  Coupling of three-dimensional field and human thermoregulatory models in a crowded enclosure , 1999 .

[11]  B. Jones Transient interaction between the human and the thermal environment , 1992 .

[12]  Satoru Takada,et al.  Thermal model of human body fitted with individual characteristics of body temperature regulation , 2009 .

[13]  S. Tanabe,et al.  Evaluation of thermal comfort using combined multi-node thermoregulation (65MN) and radiation models and computational fluid dynamics (CFD) , 2002 .

[14]  S. Takada Thermophysiological response of human body in non-steady state considering influence of transfer and storage of heat and moisture in and around clothing , 2001 .

[15]  Ryozo Ooka,et al.  Development of a Computational Thermal Manikin Applicable in a Non-Uniform Thermal Environment—Part 2: Coupled Simulation Using Sakoi's Human Thermal Physiological Model , 2008 .

[16]  Jan A. J. Stolwijk,et al.  A mathematical model of physiological temperature regulation in man , 1971 .

[17]  Hui Zhang,et al.  Coupling CFD and Human Body Thermoregulation Model for the Assessment of Personalized Ventilation , 2006 .

[18]  Ibrahim Atmaca,et al.  Effects of radiant temperature on thermal comfort , 2007 .

[19]  Edward Arens,et al.  Indoor Environmental Quality ( IEQ ) Title A model of human physiology and comfort for assessing complex thermal environments , 2001 .

[20]  Muhsin Kilic,et al.  Investigation of indoor thermal comfort under transient conditions , 2005 .