<p> In the last two decades, intensive research has been done in the area of buildings intelligence assessment. Buildings consume over 45 per cent of energy. However, none of these IB assessment methods have neither addressed the total energy consumption of IBs; nor the reaction of the people to the condition provided in the systems. In addition, these IB assessments were conducted manually.</p> <p> To address the limitations in the previous IB assessment methods, this study proposes three real time building intelligence assessment models. These models are developed based on multi-attribute decision making techniques, personalized thermal comfort equations, and data collected from wireless sensor networks.</p> <p>The key objectives of this document are:</p> <ul> <li>To review the existing literature on building intelligence assessment, multi-attribute value techniques;</li> <li>To develop a personalized thermal comfort equation;</li> <li>To develop three real-time building intelligence assessment models; and</li> <li>To design the architecture of the building intelligence assessment software package.</li> </ul> <p>Sections 1-4 are completed by the Construction Management and Engineering of the University of Reading (SCME). Sections 5-6 are completed jointly completed by SCME and ARUP. Section 1 is introduction. Section 2 develops the personalized thermal comfort equation. Section 3 is the multi-attribute decision making techniques. Section 4 proposes three real time building intelligence assessment models; followed by Section 5, the software architecture of the assessment models. Section 6 concludes D4.</p>
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Last updated: 19 August 2007.
