Warning: "continue" targeting switch is equivalent to "break". Did you mean to use "continue 2"? in /homepages/17/d375794721/htdocs/hg2e/inc/parser/handler.php on line 1458

Warning: Cannot modify header information - headers already sent by (output started at /homepages/17/d375794721/htdocs/hg2e/inc/parser/handler.php:1458) in /homepages/17/d375794721/htdocs/hg2e/inc/actions.php on line 210

Warning: Cannot modify header information - headers already sent by (output started at /homepages/17/d375794721/htdocs/hg2e/inc/parser/handler.php:1458) in /homepages/17/d375794721/htdocs/hg2e/lib/tpl/envimet/main.php on line 27
apps:biomet_pmv [A holistic microclimate model]

A holistic microclimate model

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
apps:biomet_pmv [2014/09/15 13:42]
enviadmin
apps:biomet_pmv [2017/11/10 09:25] (current)
Line 1: Line 1:
 ====== PMV/PPD ====== ====== PMV/PPD ======
  
-The **PMV Model** (=Predicted Mean Vote Model) is probably the best know human thermal comfort model especially for indoor applications. It is based on Fangers (1972) comfort model and relates the energy balance of the human body with the humans thermal impression using a straight empirical function (see below). PMV was originally developed for steady-state indoor situations, but by extending the exergy ​flux related parts of the model with solar and longwave radiation and allowing wind speeds above an indoor room situation, PMV can also be applied -with limits- to outdoor situations (see e.g. German VDI 3787 Part 2, 2008). As the original PMV/PPD uses an empirical function to relate the bodys energy balance to a thermal sensation, it can be discussed, whether it is valid to extend this model above its original context or not. In addition, the clothing temperature is the only parameter of the PMV model that reacts on the environmental conditions, the skin temperature only depends on the activity of the person (see below).+The **PMV Model** (=Predicted Mean Vote Model) is probably the best know human thermal comfort model especially for indoor applications. It is based on Fangers (1972) comfort model and relates the energy balance of the human body with the humans thermal impression using a straight empirical function (see below). PMV was originally developed for steady-state indoor situations, but by extending the energy ​flux related parts of the model with solar and longwave radiation and allowing wind speeds above an indoor room situation, PMV can also be applied -with limits- to outdoor situations (see e.g. German VDI 3787 Part 2, 2008). As the original PMV/PPD uses an empirical function to relate the bodys' ​energy balance to a thermal sensation, it can be discussed, whether it is valid to extend this model above its original context or not. In addition, the clothing temperature is the only parameter of the PMV model that reacts on the environmental conditions, the skin temperature only depends on the activity of the person (see below).
  
-PMV is, like most other thermal comfort indices, a stationary value. This means that the assessed person is assumed to be exposed long enough to a constant climate situation until all energy exchange processes at the human body have become stationary (if possible). While this is the normal case for a person in an indoor environment,​ it is the exception for most people in an outdoor environment. The validity of stationary indices in an outdoor setting is therfore ​limited to either non-moving persons or to large isothermal environments where the microclimate stays constant even if moving. ​+PMV is, like most other thermal comfort indices, a stationary value. This means that the assessed person is assumed to be exposed long enough to a constant climate situation until all energy exchange processes at the human body have become stationary (if possible). While this is the normal case for a person in an indoor environment,​ it is the exception for most people in an outdoor environment. The validity of stationary indices in an outdoor setting is therefore ​limited to either non-moving persons or to large isothermal environments where the microclimate stays constant even if moving. ​
  
 In addition to the PMV value, ENVI-met BioMet provides the associated **PPD value** (//​=Predicted Percentage of Dissatisfied//​) which tells the percentage of people who would be dissatisfied with the climate conditions found. PMV and PPD have a linear relationship (=they can be directly transformed into one another). Therefore the PPD maps have the same spatial structure as the associated PMV maps, but different units. In addition to the PMV value, ENVI-met BioMet provides the associated **PPD value** (//​=Predicted Percentage of Dissatisfied//​) which tells the percentage of people who would be dissatisfied with the climate conditions found. PMV and PPD have a linear relationship (=they can be directly transformed into one another). Therefore the PPD maps have the same spatial structure as the associated PMV maps, but different units.
Line 13: Line 13:
 {{ ::​pmvscale.jpg?​nolink |}} {{ ::​pmvscale.jpg?​nolink |}}
  
-But as the PMV value is a mathematical function of the local climate, in most applications it can reach also values above or below the [-4] - [+4] values, althouth these are off scall of the original Fanger experimental data.+But as the PMV value is a mathematical function of the local climate, in most applications it can reach also values above or below the [-4] - [+4] values, althouth these are off scale of the original Fanger experimental data.
  
  
Line 27: Line 27:
 === Required input === === Required input ===
  
-**Meteorological variables**,​ all assumed to be defined at the biometeorolgical reference ​heit of 1.6 m or the next closest level in case of model data:+**Meteorological variables**,​ all assumed to be defined at the biometeorolgical reference ​height ​of 1.6 m or the next closest level in case of model data:
   * Air temperature $T_a$   * Air temperature $T_a$
   * Mean radiant temperature $T_{mrt}$   * Mean radiant temperature $T_{mrt}$
Line 36: Line 36:
   * Clothing insulation $I_{clo}$   * Clothing insulation $I_{clo}$
   * $M$: Mechanical energy production of the body   * $M$: Mechanical energy production of the body
-  * $\eta$: ​Mechnaical ​work factor (0 most of the time)+  * $\eta$: ​Mechanical ​work factor (0 most of the time)
  
 The PMV/PPD reference person is always 35 year old, male, with a height of 1.75 m and a weight of 75 kg. These assumptions cannot be modified in the PMV/PPD calculations. The PMV/PPD reference person is always 35 year old, male, with a height of 1.75 m and a weight of 75 kg. These assumptions cannot be modified in the PMV/PPD calculations.
Line 44: Line 44:
  
 == Scaling terms == == Scaling terms ==
-  * $\mathbf{0.028+0.303\cdot (...)}$: \\ Emperical ​based fitting coefficients to transfer the energy balance of the body to the PMV scale range. ​+  * $\mathbf{0.028+0.303\cdot (...)}$: \\ Empirical ​based fitting coefficients to transfer the energy balance of the body to the PMV scale range. ​
  
 == Body energy production == == Body energy production ==
Line 66: Line 66:
     * $f_{cl}$: Enlargement factor of body area due to clothing layer with $f_{cl}=1.0+I_{cl}\cdot 0.15$ with $I_{cl}$: clothing heat insulation in [clo]. \\      * $f_{cl}$: Enlargement factor of body area due to clothing layer with $f_{cl}=1.0+I_{cl}\cdot 0.15$ with $I_{cl}$: clothing heat insulation in [clo]. \\ 
     * $T_{cl}$ is the surface temperature of the clothing layer given in [K]      * $T_{cl}$ is the surface temperature of the clothing layer given in [K] 
-    * $T_{mrt}$ is the Mean Radiative Temperature of the surounding ​environment in [K]. +    * $T_{mrt}$ is the Mean Radiative Temperature of the surrounding ​environment in [K]. 
  
  
Line 82: Line 82:
  
 Solving the PMV equation is simple once the meteorological parameters and the personal settings are known and defined. The only non-linear term in the equation is the estimation of the clothing temperature $T_{cl}$ as $R$ and $C$ are depending on $T_{cl}$ while $T_{cl}$ itself is defined using both $R$ and $C$.  Solving the PMV equation is simple once the meteorological parameters and the personal settings are known and defined. The only non-linear term in the equation is the estimation of the clothing temperature $T_{cl}$ as $R$ and $C$ are depending on $T_{cl}$ while $T_{cl}$ itself is defined using both $R$ and $C$. 
-This recursive dependency must be solved ​iterativly, in which we iterate for a $T_{cl}$ that satisfies $0=R(T_{cl})+C(T_{cl})$. Once this clothing temperature is found, all other terms can be claulated ​and PMV can be estimated.+This recursive dependency must be solved ​iteratively, in which we iterate for a $T_{cl}$ that satisfies $0=R(T_{cl})+C(T_{cl})$. Once this clothing temperature is found, all other terms can be calculated ​and PMV can be estimated.
  
-==== Extention ​to outdoor conditions ====+==== Extension ​to outdoor conditions ====
  
 As mentioned above, the concept of PMV/PPD as established by Fanger (1972) was designed for indoor applications. This does affect two fundamental aspects of the PMV mode: the design of the equations and the transition from energy balance units to comfort votes. As mentioned above, the concept of PMV/PPD as established by Fanger (1972) was designed for indoor applications. This does affect two fundamental aspects of the PMV mode: the design of the equations and the transition from energy balance units to comfort votes.
    
-First, using the clothing surface temperature as the only environment sensitive variable may be acceptable under office conditions in the absence of direct sun light and almost no ventilation. In an outdoor setting in warm to hot climates, relevant fractions of the human body are not covered by clothing but are exposed to the outdoor ​envionment ​with varing ​radiative loads and higher wind speeds. For those parts of the body, the skin temperature will be substantially different to the values estimated by the equations above. ​+First, using the clothing surface temperature as the only environment sensitive variable may be acceptable under office conditions in the absence of direct sun light and almost no ventilation. In an outdoor setting in warm to hot climates, relevant fractions of the human body are not covered by clothing but are exposed to the outdoor ​environment ​with varying ​radiative loads and higher wind speeds. For those parts of the body, the skin temperature will be substantially different to the values estimated by the equations above. ​
  
-Secondly, the PMV equation relates physical values (energy balance) to a personal comfort ​assessement. This has been achieved through tests using  volunteering persons in a climate camber. As a matter of fact and humanity, the PMV range was only checked within the range of -4 to +4, so the volunteeres ​were neither deep frozen nor grilled. From a scientific point of view, the transition from an energy balance to a comfort vote based on an an empirical study is only valid within the range of the original study. Applying the PMV equation to outdoor conditions in summer heat stress situations can easily produce PMV values high above +4 (+8 and more). While this result is numerically correct, it violates the range of the original PMV system.+Secondly, the PMV equation relates physical values (energy balance) to a personal comfort ​assessment. This has been achieved through tests using  volunteering persons in a climate camber. As a matter of fact and humanity, the PMV range was only checked within the range of -4 to +4, so the volunteers ​were neither deep frozen nor grilled. From a scientific point of view, the transition from an energy balance to a comfort vote based on an an empirical study is only valid within the range of the original study. Applying the PMV equation to outdoor conditions in summer heat stress situations can easily produce PMV values high above +4 (+8 and more). While this result is numerically correct, it violates the range of the original PMV system.
  
 Despite these problems, PMV in its outdoor version is able summarize the effects of air temperature,​ radiation, humidity and wind on the persons energy balance in one value each of it weighted with level of influence. ​ Despite these problems, PMV in its outdoor version is able summarize the effects of air temperature,​ radiation, humidity and wind on the persons energy balance in one value each of it weighted with level of influence. ​