The potential for carbon reduction in construction waste sorting: A dynamic simulation

Jingkuang Liu, Yuxuan Li and Zhenshuang Wang

Energy, 2023, vol. 275, issue C

Abstract: Energy savings and emission reductions in the construction industry are an important mean of achieving China's goals of carbon peaking and carbon neutrality. Management of debris and waste produced during construction is particularly important to achieve the construction industry's carbon emission reduction goals. This study constructs an (SD) model of the management of C&DW carbon emissions under different sorting modes to explore the relationship among factors affecting carbon emissions produced during C&DW management and to investigate the carbon emission reduction effects of different policies. The SD model simulates the effects of different carbon emission reduction policies and proposes optimization suggestions for the simulation results, which show that: (1) When the subsidy is set at 25CNY/t, there is a significant increase in the propensity of contractors to choose the resource sorting mode and a significant decrease in total carbon emissions of C&DW treatment. (2) When using a carbon tax as a policy tool to regulate the choice of C&DW sorting mode, there is a significant increase in the tendency of contractors to choose the resource-based sorting mode. The findings of the study can provide a basis for the government to introduce relevant C&DW management and emission reduction policies.

Keywords: Construction and demolition waste(C&DW); Carbon emissions; Resource recovery; Sorting mode (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S036054422300871X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:275:y:2023:i:c:s036054422300871x

DOI: 10.1016/j.energy.2023.127477

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().