Decarbonizing prefabricated building waste: Scenario simulation of policies in China

Zhao, Wenbo, Hao, Jian Li, Gong, Guobin, Ma, Wenting, Zuo, Jian and Di Sarno, Luigi ORCID: 0000-0001-6244-3251 (2024) Decarbonizing prefabricated building waste: Scenario simulation of policies in China Journal of Cleaner Production, 458. p. 142529. ISSN 0959-6526, 1879-1786

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Abstract

Compared to cast-in-situ construction, prefabricated construction reduces the generation of construction waste; however, construction waste cannot be entirely eliminated through prefabrication and can be generated at each stage of its life cycle. This paper generates a system dynamics model, comprising two causal-loop diagrams and one stock-flow diagram, to simulate the effectiveness of policies on decarbonizing prefabricated concrete building waste. The model can predict the annual and total construction waste, along with the associated carbon emissions, under different policy scenarios in China by 2030. This paper focuses on prefabricated concrete buildings in China, with specific attention to the wastage of concrete, bricks, mortar, and metal. In single-factor scenario simulations, increasing landfilling fee is the most effective policy for waste decarbonization, potentially reducing carbon emissions by 31%. Increasing prefabrication rate and enhancing regulation degree at the design phase of prefabrication can directly reduce prefabricated building waste generation, subsequently resulting in an 18% and 7% carbon emissions reduction. Multi-factor scenario simulations demonstrate that the simultaneous application of all four policies is most effective, achieving a 44% reduction in carbon emissions. This research establishes a theoretical framework for prefabricated concrete building waste management and provides the Chinese government with practical insights on optimizing policies for waste decarbonization in the dynamic landscape of prefabrication.

Item Type:	Article
Uncontrolled Keywords:	Decarbonization, Prefabricated concrete building waste, System dynamics, Policies, Scenario simulation
Divisions:	Faculty of Science & Engineering > School of Engineering
Depositing User:	Symplectic Admin
Date Deposited:	13 May 2024 07:56
Last Modified:	23 May 2026 08:44
DOI:	10.1016/j.jclepro.2024.142529
Related Websites:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3180886
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