globalchange  > 气候变化事实与影响
DOI: 10.3390/en12081515
WOS记录号: WOS:000467762600108
论文题名:
Integrating Parametric Analysis with Building Information Modeling to Improve Energy Performance of Construction Projects
作者: Najjar, Mohammad K.1; Tam, Vivian W. Y.2; Di Gregorio, Leandro Torres1; Evangelista, Ana Catarina Jorge2; Hammad, Ahmed W. A.3; Haddad, Assed1
通讯作者: Najjar, Mohammad K. ; Haddad, Assed
刊名: ENERGIES
ISSN: 1996-1073
出版年: 2019
卷: 12, 期:8
语种: 英语
英文关键词: energy in buildings ; building management ; building information modeling ; sustainable construction ; experimental design
WOS关键词: IMPACT ASSESSMENT ; CLIMATE-CHANGE ; BIM ; DESIGN ; LCA ; SUSTAINABILITY ; FRAMEWORK
WOS学科分类: Energy & Fuels
WOS研究方向: Energy & Fuels
英文摘要:

Buildings demand a significant amount of energy during their life cycles, hence, effective design measures need to be adopted to ensure efficient energy usage and management in buildings. This study proposes a framework based on various performance parameters to enable decision-makers utilizing standard procedures and software to empower the process of sustainable energy use and management in buildings, through a parametric analysis in different climatic conditions. Experimental design is adopted within the framework via the use of various performance parameters related to the building design (i.e., construction materials for exterior walls and roofs, as well as a set of window-to-wall ratios). Results indicate that climate data plays a fundamental role in the choice of design factors that are best suited for effective energy consumption in buildings. In particular, sub-type climate classifications, as opposed to the primary climate group, have a minor influence. Around 15% improvement in the energy consumption in buildings is noticed due to changes to the design factor such as the window-to-wall ratio. Insights that can be gleaned from this study include the impact of space area, exterior openings and material thickness and choice for the envelope of the building in all climate classifications, aiding in the design of low-energy buildings.


Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/134007
Appears in Collections:气候变化事实与影响

Files in This Item:

There are no files associated with this item.


作者单位: 1.Univ Fed Rio de Janeiro, Program Engn Ambiental, BR-21941901 Rio De Janeiro, Brazil
2.Western Sydney Univ, Sch Comp Engn & Math, Penrith, NSW 2751, Australia
3.New South Wales Univ, Fac Built Environm, Sydney, NSW 2052, Australia

Recommended Citation:
Najjar, Mohammad K.,Tam, Vivian W. Y.,Di Gregorio, Leandro Torres,et al. Integrating Parametric Analysis with Building Information Modeling to Improve Energy Performance of Construction Projects[J]. ENERGIES,2019-01-01,12(8)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Najjar, Mohammad K.]'s Articles
[Tam, Vivian W. Y.]'s Articles
[Di Gregorio, Leandro Torres]'s Articles
百度学术
Similar articles in Baidu Scholar
[Najjar, Mohammad K.]'s Articles
[Tam, Vivian W. Y.]'s Articles
[Di Gregorio, Leandro Torres]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Najjar, Mohammad K.]‘s Articles
[Tam, Vivian W. Y.]‘s Articles
[Di Gregorio, Leandro Torres]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.