Title of article :
Building information modeling for sustainable design and LEED® rating analysis
Author/Authors :
Azhar، نويسنده , , Salman and Carlton، نويسنده , , Wade A. and Olsen، نويسنده , , Darren and Ahmad، نويسنده , , Irtishad، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2011
Pages :
8
From page :
217
To page :
224
Abstract :
Today, there is a high level of demand for sustainable buildings. The most important decisions regarding a buildingʹs sustainable features are made during the design and preconstruction stages. Leadership in Energy and Environmental Design (LEED®) is the most widely adopted sustainable building rating system in the United States. For projects pursuing LEED® certification, designers have to conduct in-depth sustainability analyses based on a buildingʹs form, materials, context, and mechanical–electrical–plumbing (MEP) systems. Since Building Information Modeling (BIM) allows for multi-disciplinary information to be superimposed within one model, it creates an opportunity to conduct these analyses accurately and efficiently as compared to the traditional methods. In this exploratory research, a case study was conducted on Salisbury Universityʹs Perdue School of Business building to demonstrate the use of BIM for sustainable design and the LEED® certification process. First, a conceptual framework was developed to establish the relationship between BIM-based sustainability analyses and the LEED® certification process. Next, the framework was validated via this case study. The results of this study indicate that documentation supporting LEED® credits may be directly or indirectly prepared using the results of BIM-based sustainability analyses software. This process could streamline the LEED® certification process and save substantial time and resources which would otherwise be required using traditional methods.
Keywords :
BIM , Sustainable Design , LEED® rating , Green building rating systems , Building performance analyses
Journal title :
Automation in Construction
Serial Year :
2011
Journal title :
Automation in Construction
Record number :
1338288
Link To Document :
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