Sustainable building design is a growing field within architectural design. It has emerged in the construction industry as the practice of designing, constructing, and operating facilities in such a manner that their environmental impact, which has become a great concern of construction professionals, can be minimized. A number of different green building rating systems have been developed to assess if a building project is designed and built using strategies intended to minimize or eliminate its impact on the environment. In the United States, the widely accepted national green building rating system for sustainable building design is known as the Leadership in Energy and Environmental Design (LEED) Rating System. The assessment of sustainability using the LEED green building rating system is challenging and time-consuming work due to its complicated process. The sustainability rating process could be accelerated and facilitated by using computer technology such as Building Information Modeling (BIM), an innovative approach of design, engineering, and construction management that has an innovative approach of design, engineering, and construction management that has been widely used in the construction industry for modeling buildings. This thesis presents a framework representing the building knowledge contained in the LEED green building rating system criteria. The proposed building knowledge framework is implemented in a BIM platform (e.g., Autodesk Revit Architecture) in which sustainability rating of a building design can be automatically awarded. The development of the automated sustainability rating system is shown by introducing a new software (embedded into a BIM modeling product) which can extract the required data for the LEED assessment from a BIM model and provide the LEED score and a report for it.
|Commitee:||Kim, Jin-Lee, Parentela, Emelinda|
|School:||California State University, Long Beach|
|School Location:||United States -- California|
|Source:||MAI 52/01M(E), Masters Abstracts International|
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