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      Plant-level intensity of energy and CO 2 emissions for Portland cement in Guizhou of Southwest China 2019–2022

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          Abstract

          Low-carbon development of ordinary Portland cement industry is of great significance to China’s target “to peak carbon dioxide emissions before 2030 and to achieve carbon neutrality before 2060”. Neglecting the regional heterogeneity in China, few studies emphasized the status and developments of energy intensity and CO 2 emissions of ordinary Portland cement industry in Guizhou of Southwest China. To bridge this knowledge gap, we present an annual intensity dataset of energy and CO 2 emissions at plant-level for Guizhou’s ordinary Portland cement industry, which involves the details of clinker rotary kilns, yearly production of clinker and cement products, fuel consumption and electricity consumption, total CO 2 emission of cement products, energy intensity indicators of clinker and cement products, utilization ratio of solid-waste in clinker and cement production, and CO 2 emission factors of cement products. It is an important supplement and to existing energy intensity and CO 2 emissions estimates at plant-level and provincial official emissions inventories that converges all regions of China.

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          Most cited references30

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          Carbon Monitor, a near-real-time daily dataset of global CO 2 emission from fossil fuel and cement production

          We constructed a near-real-time daily CO2 emission dataset, the Carbon Monitor, to monitor the variations in CO2 emissions from fossil fuel combustion and cement production since January 1, 2019, at the national level, with near-global coverage on a daily basis and the potential to be frequently updated. Daily CO2 emissions are estimated from a diverse range of activity data, including the hourly to daily electrical power generation data of 31 countries, monthly production data and production indices of industry processes of 62 countries/regions, and daily mobility data and mobility indices for the ground transportation of 416 cities worldwide. Individual flight location data and monthly data were utilized for aviation and maritime transportation sector estimates. In addition, monthly fuel consumption data corrected for the daily air temperature of 206 countries were used to estimate the emissions from commercial and residential buildings. This Carbon Monitor dataset manifests the dynamic nature of CO2 emissions through daily, weekly and seasonal variations as influenced by workdays and holidays, as well as by the unfolding impacts of the COVID-19 pandemic. The Carbon Monitor near-real-time CO2 emission dataset shows a 8.8% decline in CO2 emissions globally from January 1st to June 30th in 2020 when compared with the same period in 2019 and detects a regrowth of CO2 emissions by late April, which is mainly attributed to the recovery of economic activities in China and a partial easing of lockdowns in other countries. This daily updated CO2 emission dataset could offer a range of opportunities for related scientific research and policy making.
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            The Durability of Alkali-Activated Materials in Comparison with Ordinary Portland Cements and Concretes: A Review

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              Factory-level measurements on CO2 emission factors of cement production in China

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                Author and article information

                Contributors
                whwang@gzu.edu.cn
                Journal
                Sci Data
                Sci Data
                Scientific Data
                Nature Publishing Group UK (London )
                2052-4463
                11 July 2024
                11 July 2024
                2024
                : 11
                : 759
                Affiliations
                [1 ]School of Materials & Metallurgy, Guizhou University, ( https://ror.org/02wmsc916) Guiyang, 550025 China
                [2 ]Guizhou Qianlonghui Technological Company, Guiyang, 550009 China
                [3 ]Western Development Service Center of Qiannan City of Guizhou, Qiannan, 558000 China
                Author information
                http://orcid.org/0000-0001-5001-9728
                Article
                3621
                10.1038/s41597-024-03621-5
                11239828
                38992082
                d7782d25-b6a1-4cbe-84f8-eac68906b009
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 26 December 2023
                : 8 July 2024
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100004001, Guizhou Science and Technology Department (Department of Science and Technology, Guizhou Province);
                Award ID: QKHJC-ZK 2024-YB 037
                Award Recipient :
                Funded by: The Innovative Development Institute for Carbon Peak & Neutrality and Renewable Energy Technology of Guizhou Province [grant number DCRE-2023-07]
                Categories
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                © Springer Nature Limited 2024

                environmental impact,energy efficiency
                environmental impact, energy efficiency

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