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Influence of the CaCEN on PCEN.

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Figshare2024-11-21 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Influence_of_the_CaCEN_on_PCEN_/27881230
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Cement production contributes 5% of global anthropogenic CO2 emissions (CEs), and more than 90% of the CEs are in the procedure of pyroprocessing. Thus calculating the pyroprocessing CO2 emission number (PCEN), determining CE-impacted factors, and investigating tailored measures of PCEN reduction for countries based on their characteristics is quite necessary. More specifically, different countries can meet different obstacles to reducing PCENs, such as different restrictions on natural resources and policies, improper energy structures, and so on. With this in mind, tailored measures for PCEN reduction in different countries should be investigated and developed based on their own characteristics. This study selects four sample countries, China, the US, Australia, and Turkey, because of their representative locations and characteristics and then determines PCENs for these countries. The results show that the PCENs of China, the US, Australia, and Turkey are 884, 886, 828, and 913 kgCO2/t clinker, respectively. Subsequently, the most PCEN-impacted factors are analyzed, and the reasons for sample countries’ different PCENs are discussed. Then, corresponding custom measures are proposed for each country based on its characteristics. The measures proposed in this study can help with the PCE reduction in the world’s cement industry, and the collected data and calculated results can be used to further research on improving energy conservation and emission reduction measures.

水泥生产贡献了全球人为二氧化碳(CO₂)排放总量的5%,其中超90%的碳排放(CEs)产生于高温煅烧工序。因此,计算高温煅烧二氧化碳排放量(PCEN)、识别碳排放影响因素,并结合各国自身特点研究适配的PCEN减排措施,尤为必要。具体而言,不同国家在降低PCEN方面面临各异的阻碍,例如自然资源与政策限制存在差异、能源结构不合理等。鉴于此,需针对不同国家的自身特性,研究并制定适配的PCEN减排方案。本研究选取中国、美国、澳大利亚、土耳其四个样本国家,因其地理位置与行业特征均具有代表性,并测算得到了上述四国的PCEN数值。测算结果显示,中国、美国、澳大利亚、土耳其的PCEN分别为884、886、828、913 kgCO₂/t熟料。随后,本研究对影响PCEN的核心因素展开分析,并探讨了四国PCEN存在差异的成因。进而结合各国自身特点,提出了针对性的减排对策。本研究提出的减排措施可为全球水泥行业的PCEN减排提供参考,本次研究收集的数据与测算结果也可为后续优化节能降碳措施的研究提供支撑。
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2024-11-21
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