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modeling building with large elevation difference from weather data elevation

I am trying to study wind driven natural ventilation for a high rise 22-floor apartment with airflow network. the building is located on site with higher altitude from the weather station data.

  • my case : building located on highland region, about 55m from sea level
  • weather data : Site:Location Elevation is at 3.7m from sea level
  • model description : since floor plans are typical, only the middle portion of the building is modelled (in this case the whole floor plan at 10th floor).
  1. in modeling the geometry, should i lift the whole building geometry 55m up from the "origin (0,0,0)" point to account for the elevation difference?
  2. what is the best practice on modeling geometry with similar case? since pressure, temperature and wind velocity varies with height as described in detail here

thanks!

bentan's avatar
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bentan
asked 2024-03-03 02:32:17 -0500
Aaron Boranian's avatar
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Aaron Boranian
updated 2024-03-05 08:05:14 -0500
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2 Answers

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In the upcoming EnergyPlus release (v24.2, planned to be released at the end of Sept 2024), there will be a new field "Keep Site Location Information" in the Site:Location object that allows you to force EnergyPlus to use the elevation you provide in the Site:Location object, rather than the elevation of the EPW weather station.

See the issue and implementation for more information.

shorowit's avatar
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shorowit
answered 2024-08-06 19:56:04 -0500
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Awesome! Should have consulted the issues tab beforehand ...

Denis Bourgeois's avatar Denis Bourgeois (2024-08-06 20:50:41 -0500) edit
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6 months late. I found your question interesting, and so decided to take a deeper dive for my own sake. Not sure if this remains of any help to you at this stage.


Q1 : As stated in the UMH post you linked, a building model's surrounding grade/ground in EnergyPlus is always Z=0. This postulate is not only key for calculating atmospheric variations (e.g. based on the elevation of a wall, or that of an air node), but equally for solar calculations (e.g. ground plane/reflections), for instance. So the Z origin of typical mid-height spaces of a 22 storey building (e.g. 3m floor-to-floor height) should be ~33m. Lifting Z origins by a further 55m would make sense if instead modelling the 29th floor of some other 58-storey building. I'd initially argue that this is not a reasonable means to "account for the elevation difference" between weather station vs building location ... see below.


Q2 : "Best practice" can be broken down into multiple, in/dependent steps - depending on the circumstances. Let's start with most the basic EnergyPlus recommendation when one chooses to model a typical "middle floor" to represent many (e.g. 20 out of 22), inter alia:

Since exterior convection coefficients vary with elevation, locate the typical middle floor zones mid-height between the lowest and highest middle floors to be modeled.

Easy peasy. EnergyPlus adjusts zone, surface and air node temperatures at runtime based on their height (vs building ground elevation). As mentioned in the link you provided, the building ground elevation here is assumed to be that of the weather station, taken from the EPW file (not Site:Location elevation). EnergyPlus considers by default a standard WMO weather station temperature sensor height of 1.5m and a standard -0.0065 K/m temperature lapse rate (or what EnergyPlus calls an air temperature gradient coefficient). If the weather station temperature sensor were to read 15°C, then in theory the adjusted air temperature at the base of your building model should be 14.7°C, while dropping to 14.2°C near the roof. We're therefore looking at a 0.3K discrepancy.

Is such a discrepancy significant for natural ventilation assessments? Some may argue "yes". Then again, if outside air temperature acts as a control threshold ("close windows below X °C"), I'd argue that a 0.3K discrepancy could safely be ignored. A more relevant question IMHO is whether this 0.3K is in fact realistic. If the building is located in a suburban or urban setting, then one can easily anticipate warmer conditions (than the weather station) and reasonably ignore the 0.3K discrepancy altogether. So it depends ...


If you were adamant on correcting a 0.3K discrepancy, you have 3 options IMO:

  1. adapt relevant EPW entries (e.g. DBT, WBT, Pa);
  2. tweak the air temperature gradient coefficient; or
  3. lift the building by approximately 50m (i.e. 55m - 3.7m - 1.5m), as suggested in your first question.
  • Option 1 ...

(more)
Denis Bourgeois's avatar
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Denis Bourgeois
answered 2024-08-06 10:39:17 -0500, updated 2024-08-06 10:51:38 -0500
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