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Challenges in modelling local thermal sensation

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Recent research on local heating and cooling design show improvements in thermal comfort and energy consumption of office buildings. The impact of these measures on the occupants’ local thermal sensation (LTS) may be investigated using thermophysiological and coupled thermal sensation models. To evaluate their ability to model local skin temperatures and LTS accurately, this paper analyses the most important factors in the thermal modelling concept: 1) the accuracy of the input data for local clothing properties and local muscular metabolic heat distribution, 2) the deviations between computed and measured local skin temperatures, and 3) neurophysiological and dynamic aspects that are missing in LTS models. To fill these gaps, further research might emphasis on 1) performing detailed measurements on local clothing and metabolic input data, 2) a re-evaluation of local heat balances in the thermophysiological models and including blood pressure effects and 3) including more neurophysiology in LTS models.
Original languageEnglish
Title of host publicationProceedings of the 14th international conference of Indoor Air Quality and Climate
Subtitle of host publicationIndoor Air 2016
EditorsJ. Laverge, T. Salthammer, M. Stranger
Place of PublicationGhent
Number of pages8
Publication statusPublished - 3 Jul 2016
Event14th International Conference on Indoor Air Quality and Climate (Indoor Air 2016), July 3-8, 2016, Ghent, Belgium - Ghent University, Ghent, Belgium
Duration: 3 Jul 20168 Jul 2016
http://www.indoorair2016.org/

Conference

Conference14th International Conference on Indoor Air Quality and Climate (Indoor Air 2016), July 3-8, 2016, Ghent, Belgium
Abbreviated titleIndoor Air 2016
Country/TerritoryBelgium
CityGhent
Period3/07/168/07/16
Internet address

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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