Cargando…

Quantifying the Carbon Reduction Potential of Recycling Construction Waste Based on Life Cycle Assessment: A Case of Jiangsu Province

The recycling of construction waste is key to reducing waste generation and CO(2) emissions. This study aimed to develop a quantitative model for analyzing the carbon reduction potential of recycling construction, demolition, and renovation waste (CDRW) in Jiangsu province. The waste generation rate...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Hongmei, Guo, Rong, Tian, Junjie, Sun, Honghao, Wang, Yi, Li, Haiyan, Yao, Lu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566197/
https://www.ncbi.nlm.nih.gov/pubmed/36231927
http://dx.doi.org/10.3390/ijerph191912628
_version_ 1784809091926851584
author Liu, Hongmei
Guo, Rong
Tian, Junjie
Sun, Honghao
Wang, Yi
Li, Haiyan
Yao, Lu
author_facet Liu, Hongmei
Guo, Rong
Tian, Junjie
Sun, Honghao
Wang, Yi
Li, Haiyan
Yao, Lu
author_sort Liu, Hongmei
collection PubMed
description The recycling of construction waste is key to reducing waste generation and CO(2) emissions. This study aimed to develop a quantitative model for analyzing the carbon reduction potential of recycling construction, demolition, and renovation waste (CDRW) in Jiangsu province. The waste generation rate calculation method and nonlinear autoregressive artificial neural network model were used to estimate and predict CDRW generation. The life cycle assessment was performed to calculate the carbon reduction potential of recycling CDRW. In quantifying the carbon reduction potential, not only construction and demolition waste, but also renovation waste was considered for the first time. The results showed that the total carbon reduction potential of recycling CDRW increased from 3.94 Mt CO(2)e in 2000 to 58.65 Mt CO(2)e in 2020. Steel and concrete were the main contributors. By scenario analysis, the carbon reduction potential of fully recycling CDRW in 2020 increased by 37.79 Mt CO(2)e, a growth rate of 64%. The study further predicts future CDRW generation and the corresponding carbon reduction potential. Our conclusions indicate that 245.45 Mt of CDRW will be generated in 2030, and carbon reduction potential may reach 82.36 Mt CO(2)e. These results will help the government manage construction waste better and reach early achievement of the carbon peak target.
format Online
Article
Text
id pubmed-9566197
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-95661972022-10-15 Quantifying the Carbon Reduction Potential of Recycling Construction Waste Based on Life Cycle Assessment: A Case of Jiangsu Province Liu, Hongmei Guo, Rong Tian, Junjie Sun, Honghao Wang, Yi Li, Haiyan Yao, Lu Int J Environ Res Public Health Article The recycling of construction waste is key to reducing waste generation and CO(2) emissions. This study aimed to develop a quantitative model for analyzing the carbon reduction potential of recycling construction, demolition, and renovation waste (CDRW) in Jiangsu province. The waste generation rate calculation method and nonlinear autoregressive artificial neural network model were used to estimate and predict CDRW generation. The life cycle assessment was performed to calculate the carbon reduction potential of recycling CDRW. In quantifying the carbon reduction potential, not only construction and demolition waste, but also renovation waste was considered for the first time. The results showed that the total carbon reduction potential of recycling CDRW increased from 3.94 Mt CO(2)e in 2000 to 58.65 Mt CO(2)e in 2020. Steel and concrete were the main contributors. By scenario analysis, the carbon reduction potential of fully recycling CDRW in 2020 increased by 37.79 Mt CO(2)e, a growth rate of 64%. The study further predicts future CDRW generation and the corresponding carbon reduction potential. Our conclusions indicate that 245.45 Mt of CDRW will be generated in 2030, and carbon reduction potential may reach 82.36 Mt CO(2)e. These results will help the government manage construction waste better and reach early achievement of the carbon peak target. MDPI 2022-10-03 /pmc/articles/PMC9566197/ /pubmed/36231927 http://dx.doi.org/10.3390/ijerph191912628 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Hongmei
Guo, Rong
Tian, Junjie
Sun, Honghao
Wang, Yi
Li, Haiyan
Yao, Lu
Quantifying the Carbon Reduction Potential of Recycling Construction Waste Based on Life Cycle Assessment: A Case of Jiangsu Province
title Quantifying the Carbon Reduction Potential of Recycling Construction Waste Based on Life Cycle Assessment: A Case of Jiangsu Province
title_full Quantifying the Carbon Reduction Potential of Recycling Construction Waste Based on Life Cycle Assessment: A Case of Jiangsu Province
title_fullStr Quantifying the Carbon Reduction Potential of Recycling Construction Waste Based on Life Cycle Assessment: A Case of Jiangsu Province
title_full_unstemmed Quantifying the Carbon Reduction Potential of Recycling Construction Waste Based on Life Cycle Assessment: A Case of Jiangsu Province
title_short Quantifying the Carbon Reduction Potential of Recycling Construction Waste Based on Life Cycle Assessment: A Case of Jiangsu Province
title_sort quantifying the carbon reduction potential of recycling construction waste based on life cycle assessment: a case of jiangsu province
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566197/
https://www.ncbi.nlm.nih.gov/pubmed/36231927
http://dx.doi.org/10.3390/ijerph191912628
work_keys_str_mv AT liuhongmei quantifyingthecarbonreductionpotentialofrecyclingconstructionwastebasedonlifecycleassessmentacaseofjiangsuprovince
AT guorong quantifyingthecarbonreductionpotentialofrecyclingconstructionwastebasedonlifecycleassessmentacaseofjiangsuprovince
AT tianjunjie quantifyingthecarbonreductionpotentialofrecyclingconstructionwastebasedonlifecycleassessmentacaseofjiangsuprovince
AT sunhonghao quantifyingthecarbonreductionpotentialofrecyclingconstructionwastebasedonlifecycleassessmentacaseofjiangsuprovince
AT wangyi quantifyingthecarbonreductionpotentialofrecyclingconstructionwastebasedonlifecycleassessmentacaseofjiangsuprovince
AT lihaiyan quantifyingthecarbonreductionpotentialofrecyclingconstructionwastebasedonlifecycleassessmentacaseofjiangsuprovince
AT yaolu quantifyingthecarbonreductionpotentialofrecyclingconstructionwastebasedonlifecycleassessmentacaseofjiangsuprovince