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- | ====== ENVI-met BioMet ====== | ||
- | {{ :apps: | + | <WRAP round box 95% center |
- | ENVI-met Biomet is a post-processing tool to calculate human thermal comfort indices based on your simulation data. | + | <WRAP left 95%> |
- | 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 column 100px> {{: |
+ | <fs x-large> | ||
- | ===== Thermal Comfort Indices | + | BIO-met is a post-processing tool to calculate human Thermal Comfort and Thermal Comfort Indices |
- | In the recent version 1.5, Biomet supports **PMV/PPD** (Predicted mean vote), **PET* **(Physiologal Equivalent Temperature), **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. 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/or sensefull. First you need valid ENVI-met simulation output, then you can calculate Thermal Comfort.** | ||
- | Follow the links to know more about the different indices: | + | ---- |
- | * [[apps: | + | |
- | * [[apps: | + | |
- | * [[apps: | + | |
- | * [[apps: | + | |
+ | <WRAP column 100px> {{ apps: | ||
- | ===== Which Comfort Index shall I use? ===== | + | →[[apps:biomet: |
- | This is the big and holy question. The fact, that BioMet 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) | + | |
- | **The suggest to use PET as a thermal comfort indicator.** | + | </ |
+ | </ | ||
+ | {{ : | ||
- | ===== Running BioMet ===== | ||
- | A very basic and very rough guide on how to use BioMet can be found here: [[http:// | ||
- | ===== Upgrade to BioMet Professional ===== | ||
- | To calculate other indices apart from PMV, you need to have ** Professional license | + | ====== 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), | ||
+ | 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. | ||
- | From August 2019, the Professional Version | + | **However, it is important to understand, that a proper Thermal Comfort Index can only be calculated if the microclimate data used are correctly |
+ | |||
+ | Follow | ||
+ | * [[apps: | ||
+ | * [[apps: | ||
+ | * [[apps: | ||
+ | * Standard Effective Temperature (SET) according to [[https:// | ||
+ | |||
+ | |||
+ | ====== 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) [[https:// | ||
- | Please visit | + | **In conclusion, they suggest to use PET as a thermal comfort indicator. We totally agree with this suggestion.** |
- | Please note, that BioMet Pro is not included in the discounted SCIENCE and STUDENT licenses of ENVI-met. | ||