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apps:biomet [2014/08/22 17:34] – enviadmin | apps:biomet [2023/05/25 15:28] – [Thermal Comfort Indices provided by BIO-met] enviadmin | ||
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- | ====== ENVI-met BioMet ====== | + | |
- | ENVI-met Biomet is a post-processing tool to calculate human thermal comfort indices based on your simulation data. It directly interacts with the ENVI-met output and lets you interactivly set the persons parameter, the Thermal Comfort Index and the range of calculation. | + | <WRAP left 95%> |
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- | [{{ : | + | 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. |
- | ===== Thermal Comfort Indices provided by BioMet 1.0 ===== | + | ---- |
- | In the recent version 1.0, Biomet supports **PMV/PPD** (Predicted mean vote), **PET* **(Physiologal Equivalent Temperature) and **UTCI* ** (Universal Thermal Climate Index), but more are likely to be integrated. (*: only available with the [[apps: | + | |
- | 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. Compared to former version of ENVI-met, the calculation of Thermal Comfort Indices as a post-processing step allows to modify e.g. personal settings without running ENVI-met again. | + | |
- | **However, it is important to understand, that a proper Thermal Comfort Index can only be calculated if the microclimate data used are correctly and/ | + | |
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+ | ====== Thermal Comfort Indices provided by BIO-met ====== | ||
+ | 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), | ||
+ | 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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+ | **However, it is important to understand, that a proper Thermal Comfort Index can only be calculated if the microclimate data used are correctly and/ | ||
Follow the links to know more about the different indices: | Follow the links to know more about the different indices: | ||
* [[apps: | * [[apps: | ||
- | * [[apps: | + | * [[apps: |
* [[apps: | * [[apps: | ||
+ | * Standard Effective Temperature (SET) according to [[https:// | ||
- | ===== Running BioMet | + | ====== Which Comfort Index shall I use? ====== |
- | A very basic and very rough guide on how to use BioMet can be found here: [[http://www.envi-met.info/public/files/ | + | This is the big and holy question. The fact, that BIO-met already supports 4 of them gives a clue, that there is no generally accepted answer. |
+ | We suggest reading the paper by Fischereit and Schlünzen (2018) | ||
+ | **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.** | ||