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Estimating the Carbon Emission of Construction Waste Recycling Using Grey Model and Life Cycle Assessment: A Case Study of Shanghai

Author

Listed:
  • Ting Wang

    (College of Urban Construction and Safety Engineering, Shanghai Institute of Technology, Shanghai 201418, China)

  • Kaiyi Li

    (Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guizhou 550001, China
    Shanghai Key Laboratory for Urban Ecological Processes and Eco-Restoration, Shanghai Engineering Research Center of Biotransformation of Organic Solid Waste, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China)

  • Defu Liu

    (Shanghai Construction No. 4 (Group) Co., Ltd., Shanghai 201103, China)

  • Yang Yang

    (Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong SAR, China)

  • Dong Wu

    (Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guizhou 550001, China
    Shanghai Key Laboratory for Urban Ecological Processes and Eco-Restoration, Shanghai Engineering Research Center of Biotransformation of Organic Solid Waste, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China)

Abstract

Great efforts have been exerted in reducing carbon emissions in design, construction and operation stages. However, little attention is paid to the quantification of carbon emissions in construction waste recycling at the end-of-life stage. This study aims to quantitatively analyze the carbon emission of construction waste in Shanghai City, PR China. A grey model is used to forecast the generation amount of construction waste, and a life cycle assessment is performed to estimate the carbon emission of construction waste. In this study, both the carbon emission of recycling activities (environmental costs), and the equivalent amount of carbon generated from alternative materials (environmental benefit) are considered. Here, recycling 1 ton (t) of construction waste in Shanghai can save 100.4 kg CO 2 −e. The total carbon-emission-saving potential can be increased from 0.31 million t CO 2 −e (2022) to 0.35 million t CO 2 −e (2031). The carbon emission of recycling concrete, brick, steel, wood and mortar, identified as the key components of construction waste, is investigated. This research can help to reduce carbon emissions and further achieve carbon neutrality for Shanghai City. The proposed methods can also be applied to other regions, especially when the data for construction waste are insufficient.

Suggested Citation

  • Ting Wang & Kaiyi Li & Defu Liu & Yang Yang & Dong Wu, 2022. "Estimating the Carbon Emission of Construction Waste Recycling Using Grey Model and Life Cycle Assessment: A Case Study of Shanghai," IJERPH, MDPI, vol. 19(14), pages 1-16, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:14:p:8507-:d:860872
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    References listed on IDEAS

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    Cited by:

    1. Yuan Fang & Xinyi Shi & Yuan Chen & Jialiang He, 2024. "Quantity Prediction of Construction and Demolition Waste Using Weighted Combined Grey Theory and Autoregressive Integrated Moving Average Model," Sustainability, MDPI, vol. 16(12), pages 1-20, June.
    2. Gu, Tianqi & Xu, Weiping & Liang, Hua & He, Qing & Zheng, Nan, 2024. "School bus transport service strategies’ policy-making mechanism – An evolutionary game approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
    3. Hongmei Liu & Rong Guo & Junjie Tian & Honghao Sun & Yi Wang & Haiyan Li & Lu Yao, 2022. "Quantifying the Carbon Reduction Potential of Recycling Construction Waste Based on Life Cycle Assessment: A Case of Jiangsu Province," IJERPH, MDPI, vol. 19(19), pages 1-16, October.
    4. Primož Jelušič & Süleyman Gücek & Bojan Žlender & Cahit Gürer & Rok Varga & Tamara Bračko & Murat V. Taciroğlu & Burak E. Korkmaz & Şule Yarcı & Borut Macuh, 2023. "Potential of Using Waste Materials in Flexible Pavement Structures Identified by Optimization Design Approach," Sustainability, MDPI, vol. 15(17), pages 1-19, August.
    5. Liu, Jingkuang & Li, Yuxuan & Wang, Zhenshuang, 2023. "The potential for carbon reduction in construction waste sorting: A dynamic simulation," Energy, Elsevier, vol. 275(C).

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