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- | {{:apps: | + | <WRAP round box 95% center |
- | ====== ENVI-met BioMet ====== | + | |
- | {{ :apps:screenshot_overview.png?800 | ENVI-met Biomet Interface}} | + | <WRAP left 95%> |
+ | <WRAP column 100px> | ||
- | 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. | + | |
+ | 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. | ||
- | ===== Thermal Comfort Indices provided by BioMet 1.5 ===== | + | ---- |
- | In the recent version 1.5, Biomet supports **PMV/PPD** (Predicted mean vote), **PET* **(Physiologal Equivalent 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:biomet:biomet55.png? |
- | * [[apps:biomet_pmv|Predicted Mean Vote (PMV/ | + | |
- | * [[apps: | + | |
- | * [[apps: | + | |
- | * [[apps:biomet_set|Standard Effective Temperature (SET)]] | + | |
- | ===== Which Comfort Index shall I use? ===== | + | ---- |
- | 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) [[https:// | + | |
- | **The suggest to use PET as a thermal comfort indicator.** | + | <WRAP column 100px> {{ apps: |
+ | →[[apps: | ||
- | ===== Running BioMet ===== | + | </ |
- | A very basic and very rough guide on how to use BioMet can be found here: [[http:// | + | </WRAP> |
- | ===== Upgrade to BioMet Professional ===== | ||
- | To calculate other indices apart from PMV, you need to have ** Professional license of ENVI-met BioMet.** | ||
- | From August 2019, the Professional Version is included in the BUSINESS and STUDENT editions. For the SCIENCE site license, it must be ordered as an add-on. See out main page for details. | ||
- | Please visit **[[apps: | ||
- | Please note, that BioMet Pro is not included | + | ====== 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 | ||
+ | |||
+ | **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 sense-full. First you need valid ENVI-met | ||
+ | |||
+ | Follow the links to know more about the different indices: | ||
+ | * [[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:// | ||
+ | |||
+ | **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.** | ||