A Study of Carbon Emission Driving Factors of a Metal Chemical Enterprise in China Based on the LMDI Model

IF 2.8 4区工程技术 Q2 ENGINEERING, CHEMICAL

Processes Pub Date : 2023-07-25 DOI:10.3390/pr11082230

L. Tan, Zao Feng, Guangfa Zheng, C. Li

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Abstract

The chemical industry is a typical high-carbon emitting industry, and achieving the goal of net zero emissions by 2050 is challenging. Therefore, metal chemical enterprises have to explore a special path of low-carbon development. This article conducted a case study on a Chinese metal chemical production enterprise with a processing scale of 28,000 t/year. Starting from the analysis of energy consumption carbon emissions, this article used available statistical data at the enterprise level to build a carbon emission estimation model for the enterprise combining different emission categories. Moreover, we also calculated the carbon emissions and carbon emission intensity of the enterprise from 2014 to 2022. Further quantitative analyses on the impact of production scale, energy efficiency, energy structure, and emission coefficient on carbon increment were also conducted using a logarithmic mean divisia index (LMDI) model. The results showed that the reduction in carbon emissions of the enterprise during the research period was due to the improvement of energy efficiency, while the production scale and energy structure served as important driving factors. Based on the results, this article proposes some policy suggestions on the future direction and focus of the enterprise’s carbon reduction work.

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基于LMDI模型的中国某金属化工企业碳排放驱动因素研究

化工行业是典型的高碳排放行业，到2050年实现净零排放的目标具有挑战性。因此，金属化工企业不得不探索一条特殊的低碳发展道路。本文对一家加工规模为28000吨/年的中国金属化工生产企业进行了案例分析。本文从能源消耗碳排放的分析入手，利用企业层面的现有统计数据，结合不同的排放类别，建立了企业的碳排放估算模型。此外，我们还计算了该企业2014年至2022年的碳排放量和碳排放强度。利用对数平均除数指数（LMDI）模型进一步定量分析了生产规模、能源效率、能源结构和排放系数对碳增量的影响。结果表明，研究期间企业碳排放的减少是由于能源效率的提高，而生产规模和能源结构是重要的驱动因素。基于研究结果，本文对企业碳减排工作的未来方向和重点提出了一些政策建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Processes Chemical Engineering-Bioengineering

CiteScore

5.10

自引率

11.40%

发文量

2239

审稿时长

14.11 days

期刊介绍： Processes (ISSN 2227-9717) provides an advanced forum for process related research in chemistry, biology and allied engineering fields. The journal publishes regular research papers, communications, letters, short notes and reviews. Our aim is to encourage researchers to publish their experimental, theoretical and computational results in as much detail as necessary. There is no restriction on paper length or number of figures and tables.