Diffusion of China's coal-fired power generation technologies: historical evolution and development trends

被引:8
作者
Zhang, Meizhen [1 ]
Lv, Tao [1 ]
Deng, Xu [1 ]
Dai, Yuanxu [1 ]
Sajid, Muhammad [1 ]
机构
[1] China Univ Min & Technol, Sch Management, Jiangsu Energy Econ & Management Res Base, 1 Daxue Rd, Xuzhou 221116, Jiangsu, Peoples R China
关键词
Coal-fired power generation technologies; Bass model; Power generation structure; Installed capacity; WIND POWER; CO2; EMISSIONS; MODEL; DEMAND; SUBSTITUTION; IMPACT; GROWTH; CURVE; JAPAN;
D O I
10.1007/s11069-018-3524-4
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
With increasing environmental pressure and the promotion of structural reforms on the supply side, a trend of transformation and upgrading is inevitable in coal-fired power generation. This study aims to analyze the historical evolution and predict the development trends of subcritical (Sub-C), supercritical (SC) and ultra-supercritical (USC) coal-fired power generation technologies in China. Employing the hierarchical clustering method, we divided 29 Chinese Provinces into four clusters based on their resource endowment, economic development level, technological development and power supply structure. Then, with the Bass model, we analyzed the national-and provincial-level diffusion processes of these three technologies. The results show that currently, at the national level, Sub-C coal-fired power generation technology is in the mature stage, SC technology is in the late growth period, and USC technology is in the rapid growth phase. Further, the diffusion of these three technologies has different characteristics in different clusters of provinces, and it is being transferred from economically developed eastern provinces to economically underdeveloped central and western provinces where coal resources are relatively rich. This research is helpful to the government in making policies to optimize the technical and regional structures of coal-fired power generation.
引用
收藏
页码:7 / 23
页数:17
相关论文
共 41 条
  • [21] Renewable energy technology diffusion model for techno-economics feasibility
    Kumar, Rajesh
    Agarwala, Arun
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 54 : 1515 - 1524
  • [22] A synthetical evaluation of developing low-carbonized coal-fired power technologies in China
    Li, Aijun
    Chen, Zhen
    Liao, Yuhan
    Liu, Yuhao
    [J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2017, 42 (32) : 20857 - 20867
  • [23] Dynamics of clean coal-fired power generation development in China
    Li, Yue
    [J]. ENERGY POLICY, 2012, 51 : 138 - 142
  • [24] Up-to-date life cycle assessment and comparison study of clean coal power generation technologies in China
    Liang, Xiaoye
    Wang, Zhihua
    Zhou, Zhijun
    Huang, Zhenyu
    Zhou, Junhu
    Cen, Kefa
    [J]. JOURNAL OF CLEANER PRODUCTION, 2013, 39 : 24 - 31
  • [25] Forecasting the development of the biped robot walking technique in Japan through S-curve model analysis
    Liu, Chen-Yuan
    Wang, Jhen-Cheng
    [J]. SCIENTOMETRICS, 2010, 82 (01) : 21 - 36
  • [26] Disordering fantasies of coal and technology: Carbon capture and storage in Australia
    Marshall, Jonathan Paul
    [J]. ENERGY POLICY, 2016, 99 : 288 - 298
  • [27] Scenario analysis of CO2 emissions from China's electric power industry
    Meng, Ming
    Jing, Kaiqiang
    Mander, Sarah
    [J]. JOURNAL OF CLEANER PRODUCTION, 2017, 142 : 3101 - 3108
  • [28] MEP (Ministry of Environmental protection of the people's republic of China), 2014, NOT PUBL LIST DES DE
  • [29] MEP (Ministry of Environmental Protection of the People's Republic of China) NDRC (National Development and Reform Commission) NEA (National Energy Administration), 2015, FULL IMPL ULTR EM EN
  • [30] Socioeconomic impact assessment of China's CO2 emissions peak prior to 2030
    Mi, Zhifu
    Wei, Yi-Ming
    Wang, Bing
    Meng, Jing
    Liu, Zhu
    Shan, Yuli
    Liu, Jingru
    Guan, Dabo
    [J]. JOURNAL OF CLEANER PRODUCTION, 2017, 142 : 2227 - 2236