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- | ====== ENVI-met BioMet ====== | + | |
- | {{ :apps:screenshot_overview.png?800 | ENVI-met Biomet Interface}} | + | <WRAP left 95%> |
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- | ENVI-met Biomet is a post-processing tool to calculate human thermal comfort indices based on your simulation data. | + | <fs x-large> |
- | 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. | + | |
- | ===== Thermal Comfort Indices provided by BioMet 1.5 ===== | + | |
- | In the recent version 1.5, Biomet supports | + | |
- | 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/ | + | 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 ====== | ||
+ | BIO-met supports **PMV/PPD** (Predicted mean vote), **PET*** (Physiological 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 calculation 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: | ||
- | * [[apps: | + | * Standard Effective Temperature (SET) according |
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- | ===== Running BioMet ===== | + | |
- | A very basic and very rough guide on how to use BioMet can be found here: [[http://www.envi-met.info/public/files/docs/ | + | |
- | ===== BioMet Professional ===== | ||
- | To calculate other indices apart from PMV, you need to upgrade to the Professional license of ENVI-met BioMet. See [[apps:biomet_license|Professional license]] for details. Please note, that BioMet Pro is not included in the discounted SCIENCE and STUDENT licenses of ENVI-met. | + | ====== Which Comfort Index shall I use? ====== |
+ | 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) | ||
- | Please note, that the outcomes of the BioMet Tool are under the same license conditions as the ENVI-met model that have created the data. ENVI-met V4 Basic is licensed under the **Creative Commons License BY-NC-SA** 3.0 see: [[http:// | + | **In conclusion, they suggest -in relation to the options we have with PET- |