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Advanced Building Simulation

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Immersive building simulation 243<br />

gesture recognition that will allow the user to interact with the raw data of the CFD<br />

simulation. In addition, statistical filters are being deployed to reduce noise and<br />

achieve better smoothing to allow a higher degree of registration and real-time data<br />

visualization.<br />

9.4 Conclusions<br />

This chapter discussed the background of immersive building simulation and its<br />

challenges. It introduced the elements that are crucial in the development of a simulation<br />

environment that is still in its infancy stage. The few studies that were conducted<br />

in this area illustrate the potential application of such research. Major<br />

challenges still exist in regard to the software and hardware, as well as the knowledge<br />

required to bring this to the building simulation field. These challenges are<br />

● Hardware cost: The cost of hardware required to develop immersive building simulation<br />

environments is still high and few vendors provide this specialty hardware.<br />

● Expertise: Different expertise is required to construct such environments. This<br />

requires collaborative effort between a variety of researchers.<br />

● Interaction methods: Human–computer interface for immersion environments<br />

and buildings is not available. Interaction methods need to be developed in order<br />

to take advantage of the immersion component.<br />

● Sensor technology: Actual building conditions through sensor data and simulated<br />

behavior through simulation models can inform each other, but integration of<br />

sensors and simulation needs to be further developed.<br />

● Data visualization: Developing data reduction and enhancement techniques that<br />

can be used for real-time dynamic simulation is needed.<br />

● Software: Software that supports building simulation objects and methods is not<br />

available. Using existing methods is a challenging task even for simple operations.<br />

For example, translating information from the CFD simulation to the<br />

CAVE required interface mapping and the CAVE language is also restrictive<br />

regarding the primitives it uses. Only basic shapes can be used, such as cubes or<br />

spheres. Thus it makes it difficult to map information with complex shapes to the<br />

output of the CFD simulations.<br />

● Incorporation with building product models: To allow robust and fast development<br />

standards for data communications need to be developed.<br />

Despite these challenges, immersive environments provide opportunities that are<br />

not available using current simulation models and interactions. These environments<br />

prove the potential for their use in collaboration. For example, using the CAVE<br />

allowed multi-users to virtually navigate through a 3D environment and share information<br />

regarding its performance.<br />

Immersive simulation extends on the 3D performance information visualization of<br />

buildings and permits the user to interact with the real environment and visualize the<br />

reaction of this interaction. It presents a new way of interfacing with the built environment<br />

and controlling its behavior in real-time. This will become evident as more<br />

techniques such as optimization and knowledge-based systems, etc. give these

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