The TEASER Plugin is one the two currently implemented
Plugins for building performance simulation (BPS). It uses the open
source tool TEASER as backend to export
Modelica simulation models based on the input IFC data. For a detailed insight
how TEASER works please have a look at the documentation
of TEASER. The exported simulation models can be simulated using the open source
library AixLib. Following you will find
some information how TEASER addresses the challenges of automated building
simulation.
Please also take a look at
bim2sim/plugins/PluginTEASER/bim2sim_teaser/examples, which provides some
runnable examples for the TEASER plugin. You can use these examples to test your
installation and learn from them. Additionally, they serve as good starting
points for your own projects.”
Currently, TEASER prefers the semantic input from IFC data to get important data
like the area of walls. But as these information often are not correct or not
existing TEASER uses also the information provided by space boundaries. The
space boundaries are also mandatory for Zoning, see below. With growing quality
of IFC exports in authoring tools we might see complete IFCs with all semantic
information needed to parametrize a BPS. At this point TEASEr will allow
the creation of a single zone simulation model without the need of Space
Boundaries, as the space boundaries are only needed for zoning in this case.
As TEASERs simulation core offers multizone simulation models, but each zone is
adiabatic and interacts only with the environment but the zones don’t interact
with each other. Even if just putting every room into one thermalzone might be
easy but not sensible as shown
in this paper.
As the zoning of simulation models is a time-consuming task we decided to
automate it with the task (BindThermalZones)[BindThermalZones].
We do this by giving the user multiple criteria to select from:
External/Internal
Orientation
Usage
Window to wall ratio
To create those zones we first need to disaggregate the
elements
of each room based on 2nd level space boundaries and put them together again
afterwards.
This groups the zones into two groups, south-west orientated and
north-east orientated zones. This is useful as the south-west group is
exposed to solar radiation at a high level, while the north-east group will have
only negligible solar radiation input. Mixing both groups together can lead to
misleading results regarding peak loads as loads are smoothed out.
This groups the zones based on the usage type of each room. bim2sim tries to
estimate the usage of each room based on the name of the room and multiple IFC
properties which might be set by the authoring tool. If the usage can’t be found
a Decision will be triggered to get the correct usage.
With this criteria the zones are grouped into 4 groups based on their window to
wall ratio or glass percentage:
0 - 30 %
30 - 50 %
50 - 70 %
70 - 100 %
This is useful as rooms with high glass percentage will have less thermal mass
and inertia and higher solar radiation input which makes their dynamic
different from the ones with low glass percentage.