Assessment of thermal comfort conditions during physical exercise by means of exergy analysis

Abstract Some authors have been applying the exergy analysis to thermal comfort, where the environmental conditions for minimal exergy destruction are claimed to correspond to thermal comfort conditions. Herein, the exergy destroyed rate of the human body will be determined as a function of temperature and humidity for three levels of exercise. For the sake of comparison, thermal comfort will also be assessed by means of PMV (Predicted Mean Vote) index. Results indicate that, the higher the relative humidity, the lower the temperature of thermal comfort and, for the same humidity, the higher the exercise intensity, the smaller the temperature of thermal comfort. On the other hand, the values of PMV do not vary much with relative humidity, what indicates that the effect of this parameter is almost neglected by this method. Besides, the difference between the three levels of exercise was not as pronounced as in the exergy method. During activity, the values of the exergy flow rate due to evaporation for thermal comfort are smaller in the exergy method than in the conventional one. Thus, it can be said that, under physical activities, the exergy method for thermal comfort seems to be a reliable alternative to the conventional one.

[1]  P. Fanger,et al.  Perception of draught in ventilated spaces. , 1986, Ergonomics.

[2]  Mateja Dovjak,et al.  Integral Control of Health Hazards in Hospital Environment , 2013 .

[3]  Xiaozhou Wu,et al.  A novel human body exergy consumption formula to determine indoor thermal conditions for optimal human performance in office buildings , 2013 .

[4]  P. O. Fanger,et al.  Thermal comfort: analysis and applications in environmental engineering, , 1972 .

[5]  M. Shukuya,et al.  Connective thinking on building envelope – Human body exergy analysis , 2015 .

[6]  Silvio de Oliveira Junior,et al.  Modeling the exergy behavior of human body , 2012 .

[7]  Matjaz Prek,et al.  Thermodynamical analysis of human thermal comfort , 2006 .

[8]  J. F. Nicol,et al.  The validity of ISO-PMV for predicting comfort votes in every-day thermal environments , 2002 .

[9]  Carlos Eduardo Keutenedjian Mady,et al.  Human Body Exergy Metabolism , 2013 .

[10]  Masanori Shukuya,et al.  Human-body exergy balance calculation under un-steady state conditions , 2011 .

[11]  Masanori Shukuya,et al.  Adaptive comfort from the viewpoint of human body exergy consumption , 2012 .

[12]  R. Yao,et al.  A theoretical adaptive model of thermal comfort – Adaptive Predicted Mean Vote (aPMV) , 2009 .

[13]  Matjaz Prek,et al.  Thermodynamic analysis of human heat and mass transfer and their impact on thermal comfort , 2005 .

[14]  Vincenc Butala,et al.  Principles of exergy analysis of human heat and mass exchange with the indoor environment , 2010 .

[15]  Carlos Eduardo Keutenedjian Mady,et al.  Human body exergy analysis and the assessment of thermal comfort conditions , 2014 .

[16]  Masanori Shukuya,et al.  Exergy concept and its application to the built environment , 2009 .

[17]  G. Cavagna,et al.  Mechanical work and efficiency in level walking and running , 1977, The Journal of physiology.

[18]  Carlos Eduardo Keutenedjian Mady,et al.  Exergy performance of human body under physical activities , 2013 .

[19]  Bjarne W. Olesen,et al.  A relation between calculated human body exergy consumption rate and subjectively assessed thermal sensation , 2011 .

[20]  Hakan Caliskan,et al.  Energetic and exergetic comparison of the human body for the summer season , 2013 .

[21]  Jurandir Itizo Yanagihara,et al.  A transient three-dimensional heat transfer model of the human body , 2009 .