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apps:biomet [2022/12/06 21:02] – enviadminapps:biomet [2023/06/01 13:58] – enviadmin
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 <fs x-large>**BIO-met**</fs> <fs x-large>**BIO-met**</fs>
  
-BIO-met is a post-processing tool to calculate human Thermal Comfort and Thermal Comfort Indices based on your simulation data. It provides a range of classic indices such as PET, SET or UTCI. +BIO-met is a post-processing tool to calculate human Thermal Comfort and Thermal Comfort Indices based on your simulation data. It provides assessment of Dynamic Thermal Comfort (dPET) and a range of classic static indices such as PET, SET or UTCI.  
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 ====== Thermal Comfort Indices provided by BIO-met ====== ====== Thermal Comfort Indices provided by BIO-met ======
-BIO-met supports **PMV/PPD** (Predicted mean vote), **PET*** (Physiologal Equivalent Temperature reviewed), **UTCI** (Universal Thermal Climate Index) and **SET* ** (Standard Effective Temperature), but more are likely to be integrated. +BIO-met supports **PMV/PPD** (Predicted mean vote), **PET*** (Physiologal Equivalent Temperature reviewed), **dPET** Dynamic PET,  **UTCI** (Universal Thermal Climate Index) and **SET* ** (Standard Effective Temperature), but more are likely to be integrated. 
  The indices vary in their level of complexity and therefore calculation time. While UTCI is regression based and quick, PMV requires the iterative solution of one energy balance equation and PET requires the solution of two of them and is hence much more calculation time expensive. BIO-met supports parallel calcuation to speed up the simulations.  The indices vary in their level of complexity and therefore calculation time. While UTCI is regression based and quick, PMV requires the iterative solution of one energy balance equation and PET requires the solution of two of them and is hence much more calculation time expensive. BIO-met supports parallel calcuation to speed up the simulations.
  
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 We suggest reading the paper by Fischereit and Schlünzen (2018) [[https://link.springer.com/article/10.1007/s00484-018-1591-6|(Paper in International Journal of Biometeorology, Open Access)]] for a detailed discussion on this matter.  We suggest reading the paper by Fischereit and Schlünzen (2018) [[https://link.springer.com/article/10.1007/s00484-018-1591-6|(Paper in International Journal of Biometeorology, Open Access)]] for a detailed discussion on this matter. 
  
-**In conclusion, they suggest to use PET as a thermal comfort indicator. We totally agree with this suggestion.**+**In conclusion, they suggest -in relation to the options we have with PET-  to use PET as a thermal comfort indicator. We totally agree with this suggestion.**