Thermal indices for human biometeorology based on Python

Thermal indices, such as Predicted Mean Vote, Outdoor Standard Effective Temperature, Physiologically Equivalent Temperature, and Universal Thermal Climate Index, are essential for the evaluation of thermal perception, the design of climate sensitive buildings or urban area, and tourism. These therm...

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Bibliographic Details
Published inScientific reports Vol. 13; no. 1; p. 20825
Main Author Chen, Yung-Chang
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 27.11.2023
Nature Publishing Group
Nature Portfolio
Subjects
692/700/478
704/106/35
704/172/4081
Architecture
Biometeorology
Cities
Climate
Design
Energy
Humanities and Social Sciences
Humans
Libraries
Meteorology
multidisciplinary
Perceptions
Radiation
Science
Science (multidisciplinary)
Skin
Temperature
Thermosensing
Tourism
Urban areas
Variables
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Summary:Thermal indices, such as Predicted Mean Vote, Outdoor Standard Effective Temperature, Physiologically Equivalent Temperature, and Universal Thermal Climate Index, are essential for the evaluation of thermal perception, the design of climate sensitive buildings or urban area, and tourism. These thermal indices are built on complicated numeric models. RayMan was developed to calculate thermal indices based on Delphi program language on the Windows 7 operating system. RayMan is not currently under active maintenance or development. Thus, this report describes the development of an innovative Python library named biometeo that includes an innovative thermal index (modified Physiologically Equivalent Temperature) as a next generation program to calculate thermal indices and human biometeorological variables.
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ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-023-47388-y