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    Automated Green Building Rating System for Building Designs

    Source: Journal of Architectural Engineering:;2016:;Volume ( 022 ):;issue: 004
    Author:
    T. H. Nguyen
    ,
    Sh. H. Toroghi
    ,
    F. Jacobs
    DOI: 10.1061/(ASCE)AE.1943-5568.0000168
    Publisher: American Society of Civil Engineers
    Abstract: As the sustainability of building projects has become of great concern for construction professionals, a number of different green building rating systems have been developed to help ensure that building projects are designed and built using strategies intended to minimize or eliminate their impacts on the environment. In the United States, although the Leadership in Energy and Environmental Design (LEED) green building rating system has been widely accepted as the national standard for sustainable building design, its assessment of green buildings is challenging and time-consuming owing to its complicated process. Such a green building rating process could be accelerated and facilitated by using computer technology such as building information modeling (BIM), an innovative, new approach to building design, engineering, and construction management that has been widely used in the architecture, engineering, and construction industry. To enable the green building rating for a building design in BIM applications, building information must be represented in such a way that the knowledge contained in LEED green building criteria can be extracted from the BIM model to support the assessment. In this paper, a building knowledge framework representing the LEED green building criteria will be presented. The proposed framework was implemented into a BIM platform to obtain an automated tool for the rating of a green building design. The development of the automated green building rating system and the results of its implementation will be discussed.
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      Automated Green Building Rating System for Building Designs

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4245069
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    contributor authorT. H. Nguyen
    contributor authorSh. H. Toroghi
    contributor authorF. Jacobs
    date accessioned2017-12-30T13:03:12Z
    date available2017-12-30T13:03:12Z
    date issued2016
    identifier other%28ASCE%29AE.1943-5568.0000168.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4245069
    description abstractAs the sustainability of building projects has become of great concern for construction professionals, a number of different green building rating systems have been developed to help ensure that building projects are designed and built using strategies intended to minimize or eliminate their impacts on the environment. In the United States, although the Leadership in Energy and Environmental Design (LEED) green building rating system has been widely accepted as the national standard for sustainable building design, its assessment of green buildings is challenging and time-consuming owing to its complicated process. Such a green building rating process could be accelerated and facilitated by using computer technology such as building information modeling (BIM), an innovative, new approach to building design, engineering, and construction management that has been widely used in the architecture, engineering, and construction industry. To enable the green building rating for a building design in BIM applications, building information must be represented in such a way that the knowledge contained in LEED green building criteria can be extracted from the BIM model to support the assessment. In this paper, a building knowledge framework representing the LEED green building criteria will be presented. The proposed framework was implemented into a BIM platform to obtain an automated tool for the rating of a green building design. The development of the automated green building rating system and the results of its implementation will be discussed.
    publisherAmerican Society of Civil Engineers
    titleAutomated Green Building Rating System for Building Designs
    typeJournal Paper
    journal volume22
    journal issue4
    journal titleJournal of Architectural Engineering
    identifier doi10.1061/(ASCE)AE.1943-5568.0000168
    pageA4015001
    treeJournal of Architectural Engineering:;2016:;Volume ( 022 ):;issue: 004
    contenttypeFulltext
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