高效能源利用
环境经济学
碳中和
电
碳纤维
能源消耗
能源工程
还原(数学)
环境科学
工艺工程
工程类
计算机科学
经济
可再生能源
电气工程
几何学
数学
复合数
算法
作者
Yuancheng Lin,Linwei Ma,Zheng Li,Weidou Ni
出处
期刊:Energy
[Elsevier]
日期:2022-11-10
卷期号:263: 125963-125963
被引量:43
标识
DOI:10.1016/j.energy.2022.125963
摘要
Improving energy efficiency is one of the most reliable ways toward carbon neutrality. Most previous studies have focused on how to reduce energy intensity; however, it is not enough to provide an overview of how many carbon emissions can be reduced by technical efficiency improvements underlying energy systems. To fill this gap, this study extended the common Kaya identity to systematically evaluate the carbon reduction potential from technical efficiency improvements of various technical conversion components within the energy system at a granular level. The extended Kaya identity includes technical efficiency factors of electricity efficiency, conversion efficiency, and passive efficiency. It provides a comprehensive framework to evaluate current performance, historical contributions, and future potential of technical efficiency improvements. The case of China reveals that: Currently, only around 5% of energy sources were delivered to final services. By improving technical efficiency to high levels, 59% carbon reduction can be achieved during the future energy transition, even when the economy is still growing. In the past, electricity efficiency and conversion efficiency have significantly reduced carbon emissions. Future policymakers should pay more attention to passive systems to provide more final services, such as improved room insulation, streamlined vehicle designs, and smart energy management.
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