Title | Building Information Modeling and Building Performance Optimization |
Creator | |
Date Issued | 2017-07-04 |
Source Publication | Encyclopedia of Sustainable Technologies |
ISBN | 9780128046777;9780128047927; |
Publisher | Elsevier Inc |
Pages | 311-320 |
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 |
Keyword | 3D modeling 4D BIM 5D BIM AEC industry Building Information Modeling (BIM) Building lifecycle Design optimization Energy efficiency Integration MEP coordination Multidimension Optimization Visualization |
DOI | 10.1016/B978-0-12-409548-9.10200-3 |
URL | View source |
Scopus ID | 2-s2.0-85034648972 |
Citation statistics | |
Document Type | Book chapter |
Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/11892 |
Collection | Research 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. |
Files in This Item: | There are no files associated with this item. |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment