Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/9753
Title: Toward low-carbon construction processes : the visualisation of predicted emission via virtual prototyping technology
Authors: Wong, JKW 
Li, H 
Wang, H
Huang, T
Luo, E
Li, V
Keywords: Carbon emission
Construction project
Hong Kong
Virtual prototyping
Issue Date: 2013
Publisher: Elsevier
Source: Automation in construction, 2013, v. 33, p. 72-78 How to cite?
Journal: Automation in construction 
Abstract: The construction industry has been criticised as one of the major greenhouse gas (GHG) emitters and a relatively unregulated sector in the management of carbon emissions. As the pressure on climate change related risks is mounting, a major cut in carbon emissions from construction operations is becoming a top priority if construction firms are to meet increasingly stringent emission controls. This study describes prototype architecture for implementing a carbon emission prediction and a simulation tool for construction projects using virtual prototyping technologies that is little investigated, analysed and modelled in the existing literature. The estimated emissions of the construction operations for each activity are calculated, tabulated and plotted to visually demonstrate the emission rates side by side with the integrated 4D models of the construction project. The presented virtual prototype (VP)-based model allows project teams to visualise the predicted emissions at different times in the construction processes, analyse the emission peaks, and allow the project team to take proactive measures against potential emissions. A real-life public housing construction project in Hong Kong is adopted to demonstrate the application of the emission prediction visualisation tool. By simulating likely carbon emissions during project planning phases in advance of actual construction activities, it is hoped that the tool can encourage exploration of possible strategies to minimize carbon emissions in construction sector.
URI: http://hdl.handle.net/10397/9753
ISSN: 0926-5805
EISSN: 1872-7891
DOI: 10.1016/j.autcon.2012.09.014
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

31
Last Week
2
Last month
3
Citations as of Nov 9, 2017

WEB OF SCIENCETM
Citations

24
Last Week
0
Last month
1
Citations as of Nov 17, 2017

Page view(s)

64
Last Week
0
Last month
Checked on Nov 19, 2017

Google ScholarTM

Check

Altmetric



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