Global CO2 uptake by cement materials accounts 1930-2023.

IF 5.8 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Songbin Wu, Zi Shao, Robbie M Andrew, Longfei Bing, Jiaoyue Wang, Le Niu, Zhu Liu, Fengming Xi
{"title":"Global CO<sub>2</sub> uptake by cement materials accounts 1930-2023.","authors":"Songbin Wu, Zi Shao, Robbie M Andrew, Longfei Bing, Jiaoyue Wang, Le Niu, Zhu Liu, Fengming Xi","doi":"10.1038/s41597-024-04234-8","DOIUrl":null,"url":null,"abstract":"<p><p>The majority of the carbon footprint of the cement industry originates from the decomposition of alkaline carbonates during clinker production. Recent studies have demonstrated that calcium oxides and other alkaline oxides in cement materials can sequester CO<sub>2</sub> through the carbonation process and partially offset the carbon emissions generated during cement production. This study employs a comprehensive analytical model to estimate the CO<sub>2</sub> uptake via hydrated cement carbonation, including concrete, mortar, construction waste, and cement kiln dust (CKD), covering major cement production and consumption regions worldwide from 1930 to 2023. In 2023, the global annual cement CO<sub>2</sub> uptake reached 0.93 Gt/yr (95% CI: 0.80-1.13Gt/yr). From 1930 to 2023, the global cumulative cement CO<sub>2</sub> absorption reached 23.89 Gt (95% CI: 20.47-28.74 Gt), equivalent to 52.32% of the CO<sub>2</sub> process emissions from cement production during the same period. Our system for estimating cement emissions and uptake is updated annually, providing consistent and accurate data for the cement industry and carbon cycle studies. This data supports improved adaptation to future challenges.</p>","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"11 1","pages":"1409"},"PeriodicalIF":5.8000,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Data","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41597-024-04234-8","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

The majority of the carbon footprint of the cement industry originates from the decomposition of alkaline carbonates during clinker production. Recent studies have demonstrated that calcium oxides and other alkaline oxides in cement materials can sequester CO2 through the carbonation process and partially offset the carbon emissions generated during cement production. This study employs a comprehensive analytical model to estimate the CO2 uptake via hydrated cement carbonation, including concrete, mortar, construction waste, and cement kiln dust (CKD), covering major cement production and consumption regions worldwide from 1930 to 2023. In 2023, the global annual cement CO2 uptake reached 0.93 Gt/yr (95% CI: 0.80-1.13Gt/yr). From 1930 to 2023, the global cumulative cement CO2 absorption reached 23.89 Gt (95% CI: 20.47-28.74 Gt), equivalent to 52.32% of the CO2 process emissions from cement production during the same period. Our system for estimating cement emissions and uptake is updated annually, providing consistent and accurate data for the cement industry and carbon cycle studies. This data supports improved adaptation to future challenges.

求助全文
约1分钟内获得全文 求助全文
来源期刊
Scientific Data
Scientific Data Social Sciences-Education
CiteScore
11.20
自引率
4.10%
发文量
689
审稿时长
16 weeks
期刊介绍: Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信