Modelling Human Heat Transfer and Temperature Regulation

Author(s):  
Dusan Fiala ◽  
George Havenith
2011 ◽  
Vol 56 (3) ◽  
pp. 429-441 ◽  
Author(s):  
Dusan Fiala ◽  
George Havenith ◽  
Peter Bröde ◽  
Bernhard Kampmann ◽  
Gerd Jendritzky

1981 ◽  
Vol 50 (3) ◽  
pp. 478-481 ◽  
Author(s):  
P. M. Stein ◽  
H. E. Ederstrom

Helium-oxygen mixtures have been reported to alter thermoregulation in humans and animals because of convective heat transfer differences between a helium-oxygen and a nitrogen-oxygen environment. Thermoregulation in unrestrained dogs was tested in a chamber at temperatures of 23, 33, and 43 degrees C, in air or 80% helium-20% oxygen (HeO). Respirations in air in these temperatures were 15, 134, and 322 breaths/min, respectively. Heart rates increased with chamber temperature, averaging 69 at 23, 82 at 33, and 103 beats/min at 43 degrees C. In HeO, responses to increasing temperatures differed from air. Respiration was 13 at 23, 49 at 33, and 336 breaths/min at 43 degrees C. Heart rates were 79 at 23, 70 at 33, and 97 at 43 degrees C. Rectal temperatures rose in both atmospheres at 43 degrees C. Shivering occurred in dogs in HeO at 23 degrees C but not in air. Results indicated that the dogs' thermoregulatory responses were markedly different in the two gas mixtures due to convective heat transfer differences, which were especially noticeable when responses in HeO at 33 degrees C were compared to those in air.


2020 ◽  
Vol 14 (1) ◽  
pp. 64-71
Author(s):  
Helbert Eduardo Espitia Cuchango ◽  
Iván Machón-González ◽  
Hilario López-García

This document shows the optimization of different configurations of a compact fuzzy controller for temperature regulation in a room; such configurations are established considering the analogy with different discrete linear controllers; the model is characterized by several heat transfer components. The results show that the optimization process allows adequate tuning of most of the fuzzy controllers. The initial configuration is relevant for the optimization of the controllers; finally, the best result is obtained with the configuration PID of the compact controller.


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