Accounting CO 2 Emissions of the Cement Industry: Based on an Electricity–Carbon Coupling Analysis

Chunlei Zhou, Donghai Xuan, Yuhan Miao (), Xiaohu Luo, Wensi Liu and Yihong Zhang
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Chunlei Zhou: Big Data Center of State Grid Corporation of China, Beijing 100052, China
Donghai Xuan: Big Data Center of State Grid Corporation of China, Beijing 100052, China
Yuhan Miao: Sichuan Energy Internet Research Institute, Tsinghua University, Chengdu 610042, China
Xiaohu Luo: Beijing Circular Sound Energy Technology Co., Ltd., Beijing 100012, China
Wensi Liu: Big Data Center of State Grid Corporation of China, Beijing 100052, China
Yihong Zhang: Big Data Center of State Grid Corporation of China, Beijing 100052, China

Energies, 2023, vol. 16, issue 11, 1-13

Abstract: Since the cement industry acts as a significant contributor to carbon emissions in China, China’s national emission trading system has announced that it should be included in the system soon. However, current cement carbon accounting methods require high-resolution data from various processes on the production line, making it a cumbersome and costly process. To address this issue, this study explores the feasibility and reliability of using machine learning algorithms to develop electricity–carbon models. These models estimate carbon emissions based solely on electricity data, enabling faster and more cost-effective accounting of carbon in cement production. This study investigates the correlations between electricity data and carbon emissions for a large cement manufacturer in southern China. It compares the performance of models based on the supply of electricity (purchased electricity and waste heat electricity) with those based on the consumption of electricity (electricity used on the grinding machines in the production lines) to identify the key factor for carbon emission calculations. The identified best performing model showed high accuracy, with an R 2 of 0.96, an RMSPE of 3.88%, and a MAPE of 2.56%. Based on this, the novel electricity–carbon model has the potential to act as one of the optional methods for carbon emissions accounting in the cement industry and to support carbon emissions data promotion within China’s national emission trading systems.

Keywords: carbon–electricity coupling; carbon emissions; cement industry (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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