caa a22 4500 445367377 CHVBK 20180317142934.0 cr unu---uuuuu 170323e20110701xx s 000 0 eng 10.1007/s00484-010-0375-4 doi (NATIONALLICENCE)springer-10.1007/s00484-010-0375-4 A new approach using the Pierce two-node model for different body parts [Elektronische Daten] [Ehab Foda, Kai Sirén] This paper presents a new approach, in applying the Pierce two-node model, to predict local skin temperatures of individual body parts with good accuracy. In this study, local skin temperature measurements at 24 sites on the bodies of 11 human subjects were carried out in a controlled environment under three different indoor conditions (i.e. neutral, warm and cold). The neutral condition measurements were used to adjust the local skin set-points in the model for each body part. Additional modifications to the calculation algorithm were introduced corresponding to different body parts. The local core set-points were then calculated, using a line search method, as the input values that allow the model to predict the skin temperatures with maximum deviation of ±0.1°C for the neutral condition. The model predictability was verified for the other two indoor conditions, and the results show that the modified model predicts local skin temperatures with average deviation of ±0.3°C. ISB, 2010 Thermoregulation nationallicence Thermal comfort nationallicence Pierce two-node model nationallicence Local skin temperatures nationallicence Foda Ehab Department of Energy Technology, School of Science and Technology, Aalto University, PO Box14100, Espoo, Finland aut Sirén Kai Department of Energy Technology, School of Science and Technology, Aalto University, PO Box14100, Espoo, Finland aut International Journal of Biometeorology Springer-Verlag 55/4(2011-07-01), 519-532 0020-7128 55:4<519 2011 55 484 https://doi.org/10.1007/s00484-010-0375-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00484-010-0375-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Foda Ehab Department of Energy Technology, School of Science and Technology, Aalto University, PO Box14100, Espoo, Finland aut NATIONALLICENCE 700 1- Sirén Kai Department of Energy Technology, School of Science and Technology, Aalto University, PO Box14100, Espoo, Finland aut NATIONALLICENCE 773 0- International Journal of Biometeorology Springer-Verlag 55/4(2011-07-01), 519-532 0020-7128 55:4<519 2011 55 484 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer