Learning-by-Manufacturing and Learning-by-Operating mechanisms drive energy conservation and emission reduction in China's coal power industry

被引:9
作者
Zhang, Chao [1 ,2 ]
Xie, Liqin [1 ]
Qiu, Yueming [3 ]
Wang, Shuangtong [4 ]
机构
[1] Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China
[2] Tongji Univ, Tongji Inst Environm Sustainable Dev, United Nation Environm, Shanghai 200092, Peoples R China
[3] Univ Maryland, Sch Publ Policy, College Pk, MD 20742 USA
[4] Energy Sci & Technol Res Inst Co Ltd, Nanjing 210023, Peoples R China
基金
中国国家自然科学基金;
关键词
Learning curve; Energy efficiency; Energy conservation; Co2; mitigation; Coal-fired power generation; EXPERIENCE CURVES; ELECTRICITY-GENERATION; TECHNOLOGICAL-CHANGE; CO2; EMISSIONS; INNOVATION; COST; RATES; ECONOMIES; EXPANSION; PROGRESS;
D O I
10.1016/j.resconrec.2022.106532
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The mechanisms behind energy efficiency improvement of coal-fired power generation in China have not been well investigated. We proposed new concepts of learning-by-manufacturing (LBM) and learning-by-operating (LBO) to explain the reduced coal consumption rate of coal-fired power generation. The former results in lower initial coal consumption rates for newly commissioned electric generating units (EGUs) as manufacturers produce better equipment through knowledge accumulation, and the latter leads to a continuous decline in fuel intensity as power plant operators gain experiences in energy conservation. The learning rates of LBM and LBO are estimated at 1.1-1.8% and 1.7-2.1% for different EGUs, respectively. They contributed 662 million tonnes of standard coal equivalent (tce) of energy conservation and correspondingly 1.87 billion tonnes of CO2 mitigation (36% by LBM and 64% by LBO) during 2000-2017 in China, and can explain 25.8% of the decrease in the national average coal consumption rate.
引用
收藏
页数:16
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