Intelligent and Adaptive Building Systems in High-Rise Architecture

Presented for the 2012 CCHRB Scholarship

Project Proposal By:
Kai L. Hansen
College of Architecture IIT

Energy consumption by buildings, especially high-rise buildings, has increased to the point that it has overtaken the industrial and transportation sectors (Perez-Lombard et al., 2008).  This unsustainable phenomenon has prompted research into Intelligent and Adaptive Building Systems, which from this point on will be referred to as IABS, for more energy-efficient buildings that current architectural practice overlooks.  In addition to the benefit of reduced energy consumption, occupant physiological and psychological well-being can also be addressed by providing greater microclimate control and feedback.  Both can be achieved through the blending of established technologies such as:

  • intelligent mobile devices
  • microcontrollers sense and response capabilities
  • fuzzy logic
  • artificial neural networks
  • agent based systems
  • network communications

This research project seeks to address these issues by developing working examples of IABS that address the needs of all stakeholders (Table 1).  Past and future examples consist of several existing technologies, and form a contextually aware and extremely flexible agent based network.  This project also seeks to answer questions about IABS design and occupant interfacing.  To achieve these goals, a new prototype series of varying component make ups are planned, and will be comparatively tested through performance analyses.  Additionally, a scale high-rise model to demonstrate a working system in operation will be produced.  This proposal will also explain why high-rise architecture is ideal for IABS integration, and how the two fit together.

Table 1. Building stakeholders and relative performance metrics  


Performance Metrics

Occupant Indoor Air Quality, comfort, health (psychological & physiological)
Building Owner or Developer Return on initial investment, building lifespan, operating costs, occupant satisfaction/rate of occupancy
Building Operator or Engineer Efficient building control and management
Utility Companies Energy consumption (especially during peak demand)

Full paper found here.


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