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TitleBuilding Information Modeling and Building Performance Optimization
Creator
Date Issued2017-07-04
Source PublicationEncyclopedia of Sustainable Technologies
ISBN9780128046777;9780128047927;
PublisherElsevier Inc
Pages311-320
Abstract

Building Information Modeling (BIM) has become one of the most recognized technologies for Architecture, Engineering, and Construction (AEC) industry in recent years. It brings an innovative and creative revolution for the industry to substitute conventional two-dimensional design drawings by using digital three-dimensional modeling. The benefits of BIM application in AEC projects can be summarized as follows: cost saving, process control, rework reduction, quantity take-off, project management, multidimensional simulation, and visualization, which are across the whole project lifecycle from planning and design phase to operation and maintenance phase. As building energy consumption is a main sector of total energy consumption in the global, there is no doubt new technologies must be developed and applied to help minimize the energy consumption and meanwhile improve the energy efficiency in building construction sector. BIM provides an optimal solution. In this article, a detailed background introduction of what BIM is presented for better understanding. Furthermore, various BIM-based technologies for energy efficiency optimizations are respectively introduced according to applications in different disciplines and phases of building project lifecycle. In addition, a case study of a practical project shows what BIM can really contribute to the optimization of project and its impact on overall energy efficiency.

Language英语English
Keyword3D modeling 4D BIM 5D BIM AEC industry Building Information Modeling (BIM) Building lifecycle Design optimization Energy efficiency Integration MEP coordination Multidimension Optimization Visualization
DOI10.1016/B978-0-12-409548-9.10200-3
URLView source
Scopus ID2-s2.0-85034648972
Citation statistics
Document TypeBook chapter
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/11892
CollectionResearch outside affiliated institution
Affiliation
University of Nottingham,Ningbo,United Kingdom
Recommended Citation
GB/T 7714
Tang, Llewellyn,Chen, Chao,Tang, Shuet al. Building Information Modeling and Building Performance Optimization: Elsevier Inc, 2017: 311-320.
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