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system. This intelligence, gives the ability to make the best decisions, based on
monitored and predicted data on full scale models, leading to better control and
maintenance outcomes.
…
.. BIM Monitored
Room Temperature
___
BIM Simulated
Room Temperature
___
Outside Monitored
Temperature
Figure 8: Daily Temperature Response Simulated and Monitored
Current methods of intelligent learning in buildings, such as Neural Networks require
significant amounts of training and are not useful beyond their range of experience.
Building simulation though, is essentially a virtual representation, permitting a more
accurate set of prediction outcomes and thus more energy efficient control strategies.
Coupled with smart grid technologies, such a system would also be able to perform
automated demand response for energy reduction and management. With the BIM
encapsulated in the BMS, the system would require prediction data, such as Weather
Forecast Models, obtained from internet feeds.
Figure 8 demonstrates successful integration of the BIM simulation model in the BMS, by
supplying monitored data (outside temperature, direct solar radiation, humidity) directly
into the ESP-r simulator. Good agreement has been achieved between the simulated
and monitored results, verifying the use of the simulator for prediction. Having an
accurate BIM simulation model is important for anticipating demands and future load
requirements for the BMS, particularly under extremities and to perform simulation
assisted control strategies or global structural health assessments.
Conclusions
We have discussed the application of BIM in volumetric constriction for modular
buildings, and the relationships with resource planning, and simulation assisted control
with BIM encapsulation in Building Management Systems. Further work to be carried
out in the future to enhance the system include concepts such as on-site erection
management for the logistics and transportation of modules, installation equipment and
labour; Material ordering based on prediction, particularly for steel; Design of pipeline
systems for electrical, network and plumbing systems, which require special
considerations due to the modular design; And lastly modeling from conceptual design,
using an expert system to support the design, while minimising user input. To support
the above it is hoped a Modular Monitoring BIM XML data structure will be developed
internally to support Enemetric's workflow and development of integrated intelligent
building management systems in future construction projects.
