Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/105080
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Type: Journal article
Title: Quantification of carbon emission of construction waste by using streamlined LCA: a case study of Shenzhen, China
Author: Wu, H.
Duan, H.
Wang, J.
Wang, T.
Wang, X.
Citation: Journal of Material Cycles and Waste Management, 2015; 17(4):637-645
Publisher: Springer Japan
Issue Date: 2015
ISSN: 1438-4957
1611-8227
Statement of
Responsibility: 
Huanyu Wu, Huabo Duan, Jiayuan Wang, Ting Wang, Xifu Wang
Abstract: Currently, the majority of the construction waste (CW) has been collected without classification and simply disposed in China. To quantify the environmental impacts and provide reasonable policy recommendations, this paper conducted an assessment for the life cycle carbon emissions (CEs) for CW based on a streamlined life cycle assessment method. Three typical CW management approaches in Shenzhen City were selected to perform the case study and comparative analysis. The results show that scenario I with low recycling rate generates the largest CEs amount by 542.56 kg for 1 ton CW, followed by scenarios II and scenario III that generate 538.61 and 483.85 kg, respectively. In addition, the results show the material embody impact is the largest contributor to CEs for CW examined, accounting for 78 % of the total amount in the overall life cycle. Analysis results also show that wood, steel and concrete wastes are the top three contributors within nine materials, with proportions of 25, 23 and 13 %, respectively. Therefore, the most effective way to decrease the CEs of CW is minimizing the generation of CW, since the CEs of the majority of waste are not sensitive to alteration of treatment methods or recycling rate.
Keywords: Construction waste; waste management; carbon emission; streamlined LCA
Description: Original article: The 9th International Conference on Waste Management and Technology, 9th ICWMT 2014. Published online: 3 July 2015
Rights: © Springer Japan 2015
RMID: 0030065894
DOI: 10.1007/s10163-015-0404-9
Grant ID: http://purl.org/au-research/grants/arc/LP110100156
Appears in Collections:Architecture publications

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