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Forecast and Analysis on Reducing China’s CO(2) Emissions from Lime Industrial Process

China greenhouse gas inventories show that CO(2) emissions from the lime industrial process are large scales and closely related to the development of its downstream industries. Therefore, there is high importance to analyze and forecast on reducing China’s CO2 emissions from lime industrial process...

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Detalles Bibliográficos
Autores principales: Tong, Qing, Zhou, Sheng, Guo, Yuefeng, Zhang, Yang, Wei, Xinyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6388130/
https://www.ncbi.nlm.nih.gov/pubmed/30754678
http://dx.doi.org/10.3390/ijerph16030500
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author Tong, Qing
Zhou, Sheng
Guo, Yuefeng
Zhang, Yang
Wei, Xinyang
author_facet Tong, Qing
Zhou, Sheng
Guo, Yuefeng
Zhang, Yang
Wei, Xinyang
author_sort Tong, Qing
collection PubMed
description China greenhouse gas inventories show that CO(2) emissions from the lime industrial process are large scales and closely related to the development of its downstream industries. Therefore, there is high importance to analyze and forecast on reducing China’s CO2 emissions from lime industrial process. The aims of this paper are to make up the research gaps in China and provide a quantitative reference for related authorities to formulate relevant policies. The prediction method in this paper is consistent with the published national inventory, which is an activity data based method to predict carbon dioxide emissions from the industrial process of four categories of lime products. Three future scenarios are assumed. The business as usual scenario (BAU) is a frozen scenario. There are two emission reduction scenarios (ERS and SRS) assumed under different emission reduction strength considering combined industrial process CO(2) emission reduction approaches from both the production side and the consumption side. The results show that between 2020 and 2050, China’s lime industrial process has an increasingly significant CO(2) emission reduction potential, enabling both emission intensity reductions and total emission reductions to be achieved simultaneously. Based on the simulation results from emission reduction scenarios, compared with 2012 level, in 2050, the emission intensity can be reduced by 13–27%, the total lime production can be reduced by 49–78%, and the CO(2) emissions in the lime industrial process can be reduced by 57–85%.
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spelling pubmed-63881302019-02-27 Forecast and Analysis on Reducing China’s CO(2) Emissions from Lime Industrial Process Tong, Qing Zhou, Sheng Guo, Yuefeng Zhang, Yang Wei, Xinyang Int J Environ Res Public Health Article China greenhouse gas inventories show that CO(2) emissions from the lime industrial process are large scales and closely related to the development of its downstream industries. Therefore, there is high importance to analyze and forecast on reducing China’s CO2 emissions from lime industrial process. The aims of this paper are to make up the research gaps in China and provide a quantitative reference for related authorities to formulate relevant policies. The prediction method in this paper is consistent with the published national inventory, which is an activity data based method to predict carbon dioxide emissions from the industrial process of four categories of lime products. Three future scenarios are assumed. The business as usual scenario (BAU) is a frozen scenario. There are two emission reduction scenarios (ERS and SRS) assumed under different emission reduction strength considering combined industrial process CO(2) emission reduction approaches from both the production side and the consumption side. The results show that between 2020 and 2050, China’s lime industrial process has an increasingly significant CO(2) emission reduction potential, enabling both emission intensity reductions and total emission reductions to be achieved simultaneously. Based on the simulation results from emission reduction scenarios, compared with 2012 level, in 2050, the emission intensity can be reduced by 13–27%, the total lime production can be reduced by 49–78%, and the CO(2) emissions in the lime industrial process can be reduced by 57–85%. MDPI 2019-02-11 2019-02 /pmc/articles/PMC6388130/ /pubmed/30754678 http://dx.doi.org/10.3390/ijerph16030500 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tong, Qing
Zhou, Sheng
Guo, Yuefeng
Zhang, Yang
Wei, Xinyang
Forecast and Analysis on Reducing China’s CO(2) Emissions from Lime Industrial Process
title Forecast and Analysis on Reducing China’s CO(2) Emissions from Lime Industrial Process
title_full Forecast and Analysis on Reducing China’s CO(2) Emissions from Lime Industrial Process
title_fullStr Forecast and Analysis on Reducing China’s CO(2) Emissions from Lime Industrial Process
title_full_unstemmed Forecast and Analysis on Reducing China’s CO(2) Emissions from Lime Industrial Process
title_short Forecast and Analysis on Reducing China’s CO(2) Emissions from Lime Industrial Process
title_sort forecast and analysis on reducing china’s co(2) emissions from lime industrial process
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6388130/
https://www.ncbi.nlm.nih.gov/pubmed/30754678
http://dx.doi.org/10.3390/ijerph16030500
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