TeamCAD BIM eBook v2 ENG
Read a special TeamCAD eBook edition covering BIM & Digital Twins recent articles by our BIM associate Mr. Predrag Jovanović. --- Pročitajte specijalni TeamCAD eBook na temu BIM i digitalnih blizanaca našeg specijalnog BIM saradnika Predraga Jovanovića.
Read a special TeamCAD eBook edition covering BIM & Digital Twins recent articles by our BIM associate Mr. Predrag Jovanović. --- Pročitajte specijalni TeamCAD eBook na temu BIM i digitalnih blizanaca našeg specijalnog BIM saradnika Predraga Jovanovića.
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• Using sensors in an already
constructed building,
temperature measurements were
performed in each room during a
one month period. After data
transfer via the "Internet of
Things" and processing of the
obtained data, the average
temperature in each room was
obtained during a predefined
time interval. The obtained data
indicated that the average
temperature in some rooms
deviated from the expected
values predicted by the project. In
this case, the lower temperature
than predicted in the project was
an obstacle for the tenant of the
business space to achieve full
comfort. To more easily present
the measured data, the data
obtained from the sensors were
visualized in a digital twin model
using the Power BI data
visualization program.
• Using sensors on the bridge,
vibration data was collected
during regular traffic. According
to the project documentation
made following the norms from
1975, the bridge needed to be
reconstructed. The client turned
to us to check whether it is
possible to postpone the
reconstruction of the bridge for
some time if the current norms
are respected. Instead of the
classical approach, where we
would do static calculations
according to existing norms,
sensor data and measured
vibrations showed that, with
minimal interventions where only
one sensor showed higher
vibrations than the prescribed
norms, it is possible to postpone
bridge reconstruction for at least
seven years. If we take into
account that the bridge is located
near the port, which has very
intensive ship traffic, the client is
provided with great savings,
because it was not necessary to
close the port during the
two-month minimum works on
the reconstruction of the bridge.
I hope that based on the previous
examples you saw the need to
visualize the data in the digital
twin model in the simplest
possible way and that the whole
point in the story about the data
in the digital twin model is that
each participant in the project
process easily and simply
understands data through a
maximally simplified
representation using the various
visualization software solutions
available to us today.
How To Turn The
Data In The Digital
Twin Model Into
Concrete Savings?
We have come a long way in
being able to turn the data in the
digital twin model into concrete
savings for the client.
First, it was necessary to generate
relevant data, then process them
in a valid way and finally visualize
them in a way that is easily
understood by the client.
In the case of buildings that are
now the subject of the project
and that are done according to
current standards, the best
advice is to do periodic
simulations in digital twin models
during the project process.
Today, the biggest problem are
buildings that were already built
in the middle and end of the last
century.
What should be especially kept in
mind is the fact that the price of
energy has jumped enormously
in the last couple of decades,
which makes older buildings very
energy inefficient.
Most often, energy efficiency is
the main reason for investing in
constructed buildings.
The technology of digital twins
and the application of digital
simulation tools provides us with
great opportunities to achieve
significant savings for the client
by improving the energy
efficiency of constructed facilities.
Estimates based on previous
experience are that without any
investment in the purchase of
new equipment in the building,
i.e. only by optimizing the turning
the heating on and off, cooling,
water heating, lighting, etc., the
minimum savings that an
investor or tenant can achieve is
5% of the energy price which the
investor or tenant pays without
JAN 2021
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