4.7 Article

Identifying an over tenfold variation in carbon intensities of coal mines in China by multi-scale multi-benchmark accounting

期刊

JOURNAL OF CLEANER PRODUCTION
卷 384, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2022.135621

关键词

Carbon footprint; Greenhouse gas; Methane; Spatial heterogeneity; Coal mining; Net calorific value

向作者/读者索取更多资源

This study conducted a multi-scale, multi-benchmark accounting of GHG emissions from Chinese coal mines in order to establish a shared understanding and facilitate discussion. The results showed large variations and uncertainties in carbon emissions at different scales. The conclusions are important for developing low-carbon coal supply systems and promoting cleaner production and sustainable development strategies in the coal industry in China.
Complete and accurate accounting of greenhouse gas (GHG) emissions from coal mines in China is a critical basis for identifying mitigation potential and making reduction strategies. Previous studies based on the emission factor method and life cycle assessment are limited in accounting scope completeness, data reliability, or result applicability at multiple scales and benchmarks. The objective of this study was to carry out a multi-scale multi -benchmark GHG accounting of Chinese coal mines to build a shared understanding and facilitate discussion on this topic. We established a complete accounting model to cover upstream indirect, direct, and downstream indirect GHG emissions related to coal mining. A total of 1151 operating coal mines were investigated to model site-level carbon emissions based on mass and energy benchmarks and then aggregated to 99 cities, 19 provinces, and the country for accounting. The results showed an over 14-fold variation in mass-based site-level accounting, with the highest uncertainty of less than 15%. This variability performed almost the same at city-level aggre-gating, whereas narrowed to over twofold at the provincial level. Energy-based accounting presented an over 17 -fold variation at the site-level with a similar uncertainty to mass-based accounting. Such variability was nar-rowed to over sevenfold and approximately threefold in the city-and province-level aggregations, respectively. The national average mass-and energy-based carbon footprint of coal mining were 0.39 kg CO2-eq/kg and 0.0185 kg CO2-eq/MJ, respectively, in which approximately 36% of the total GHG emissions were omitted if mining methane escape was reported only. These results suggest improving the methane utilization rate and optimizing coal production and consumption patterns, which implicates cleaner production and sustainable development strategies for the coal industry in China. The conclusions are helpful to identify individual carbon emission gaps, clarify regional emission responsibilities, coordinate the national carbon neutrality process, and promote a low-carbon coal supply system.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据