How does energy transition improve energy utilization efficiency? A case study of China's coal‐to‐gas program

IF 3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Expert Systems Pub Date : 2024-09-03 DOI:10.1111/exsy.13721
Zhixiang Zhou, Yifei Zhu, Yannan Li, Huaqing Wu
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Abstract

Improving energy efficiency by adjusting the structure of energy consumption types is of great significance for reducing carbon emissions in the short term. The present paper constructs new data envelopment analysis models for evaluating energy utilization under different structural conditions and calculating potential emissions reductions. We conducted empirical research on 30 provinces in China from 2003 to 2019—a time frame that coincides with the instituting of China's “coal‐to‐gas” program. Our results show that technological progress is the main way for China to reduce carbon emissions and that it is possible to reduce the total amount of carbon emissions by 35%. Additionally, optimizing the energy consumption structure following the coal‐to‐gas program guidelines could reduce the country's carbon emissions by a further 25%. Finally, this paper provides specific policy recommendations based on the efficiency analysis results to guide each province in reducing carbon emissions under the conditions of energy demand growth.
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能源转型如何提高能源利用效率?中国煤制天然气项目案例研究
通过调整能源消费类型结构来提高能源效率,对于在短期内减少碳排放具有重要意义。本文构建了新的数据包络分析模型,用于评估不同结构条件下的能源利用率,并计算潜在的减排量。我们在 2003 年至 2019 年期间对中国 30 个省份进行了实证研究--该时间段与中国 "煤改气 "计划的实施时间相吻合。研究结果表明,技术进步是中国减少碳排放的主要途径,碳排放总量有可能减少 35%。此外,按照 "煤改气 "计划的指导方针优化能源消费结构,可以使中国的碳排放量再减少 25%。最后,本文根据效率分析结果提出了具体的政策建议,以指导各省在能源需求增长的条件下减少碳排放。
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
Expert Systems
Expert Systems 工程技术-计算机:理论方法
CiteScore
7.40
自引率
6.10%
发文量
266
审稿时长
24 months
期刊介绍: Expert Systems: The Journal of Knowledge Engineering publishes papers dealing with all aspects of knowledge engineering, including individual methods and techniques in knowledge acquisition and representation, and their application in the construction of systems – including expert systems – based thereon. Detailed scientific evaluation is an essential part of any paper. As well as traditional application areas, such as Software and Requirements Engineering, Human-Computer Interaction, and Artificial Intelligence, we are aiming at the new and growing markets for these technologies, such as Business, Economy, Market Research, and Medical and Health Care. The shift towards this new focus will be marked by a series of special issues covering hot and emergent topics.
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