Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.autcon.2013.10.017
Title: Economic and environmental assessment of deconstruction strategies using building information modeling
Authors: Akbarnezhad, A.
Ong, K.C.G. 
Chandra, L.R.
Keywords: Building information modeling
Carbon footprint
Deconstruction
Economic impact
Embodied energy
Environmental impact
Issue Date: 2014
Source: Akbarnezhad, A., Ong, K.C.G., Chandra, L.R. (2014). Economic and environmental assessment of deconstruction strategies using building information modeling. Automation in Construction 37 : 131-144. ScholarBank@NUS Repository. https://doi.org/10.1016/j.autcon.2013.10.017
Abstract: Choosing the most sustainable deconstruction strategy requires assessment of the effects of various contributing factors including prices and energy embodiment of the materials and components, the travelling distances, energy use and cost associated with the recycling processes, inflation rate, costs of designing the components for reuse-ability, costs of disassembly and re-assembly. Furthermore, a typical building comprises thousands of different components with various characteristics which may affect their reusability and recyclability. These lead to an enormous amount of information that needs to be stored and made available for analysis prior to and during the deconstruction stage. The present study proposes a framework for evaluating and comparing the effects of various alternative deconstruction strategies on cost, energy use and carbon footprint of construction using the information provided by a typical building information model. The results of a case study are presented to illustrate the potential applications of the proposed method. © 2013 Elsevier B.V.
Source Title: Automation in Construction
URI: http://scholarbank.nus.edu.sg/handle/10635/59018
ISSN: 09265805
DOI: 10.1016/j.autcon.2013.10.017
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

29
checked on Dec 6, 2017

WEB OF SCIENCETM
Citations

21
checked on Nov 21, 2017

Page view(s)

46
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


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