Driving force analysis of the nitrogen oxides intensity related to electricity sector in China based on the LMDI method

被引:24
|
作者
Wang, Like [1 ]
Wang, Yuan [1 ]
He, He [2 ]
Lu, Yaling [1 ,3 ]
Zhou, Zhihua [1 ]
机构
[1] Tianjin Univ, Sch Environm Sci & Engn, Tianjin, Peoples R China
[2] Univ Edinburgh, Sch Engn, Edinburgh, Midlothian, Scotland
[3] Chinese Acad Environm Planning, State Environm Protect Key Lab Environm Planning, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Aggregated NOX intensity (ANI); Electricity generation; Logarithmic mean divisia index (LMDI); Temporal decomposition; Spatial decomposition; INDEX DECOMPOSITION ANALYSIS; ENERGY-CONSUMPTION; AIR-POLLUTION; NOX EMISSIONS; DIVISIA INDEX; CO2; EMISSIONS; POWER; GENERATION; INDUSTRY; IMPACTS;
D O I
10.1016/j.jclepro.2019.118364
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In China, as a kind of important precursors to cause PM2.5 and O-3 pollution, nitrogen oxides (NOX) have attracted a large attention. From the perspective of electricity-related NOx generation, the aggregate nitrogen oxides generation intensity (ANI) is decomposed temporally and spatially based on the LMDI method. At the country level, ANI in China dropped significantly from 2.90 g NOX/kWh to 2.15 g NOX/kWh from 2000 to 2016. The temporal and spatial decomposition results showed that the major driving forces are the clean energy penetration (U-cp) and thermal power generation efficiency (U-int), which decreased ANI by 10.5% and 7.74% during the study period, respectively. U-cp in the southwestern, central and northwestern regions were the main contributors for ANI reduction. U-int in the eastern region was the main contributor in reducing ANI. Based on our findings, it is suggested to provide different NOX emission reduction policies for different provinces. Thus, these approaches will improve initiatives of reducing NOX emission from source. Crown Copyright (c) 2019 Published by Elsevier Ltd. All rights reserved.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] RETRACTED: Analysis on the Pattern of County Carbon Emission Intensity and the Evolution of Influencing Factors in China Based on LMDI Model (Retracted Article)
    Chen, Yang
    [J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2022, 2022
  • [42] Decomposition and scenario analysis of CO2 emissions in China's power industry: based on LMDI method
    Zhao, Yuhuan
    Li, Hao
    Zhang, Zhonghua
    Zhang, Yongfeng
    Wang, Song
    Liu, Ya
    [J]. NATURAL HAZARDS, 2017, 86 (02) : 645 - 668
  • [43] Decomposing the change in energy consumption in China's nonferrous metal industry: An empirical analysis based on the LMDI method
    Wang, Miao
    Feng, Chao
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 82 : 2652 - 2663
  • [44] Decomposition and scenario analysis of CO2 emissions in China’s power industry: based on LMDI method
    Yuhuan Zhao
    Hao Li
    Zhonghua Zhang
    Yongfeng Zhang
    Song Wang
    Ya Liu
    [J]. Natural Hazards, 2017, 86 : 645 - 668
  • [45] Driving factors and decoupling trend analysis between agricultural CO2 emissions and economic development in China based on LMDI and Tapio decoupling
    Yang, Jieqiong
    Luo, Panzhu
    Li, Langping
    [J]. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2022, 19 (12) : 13093 - 13113
  • [46] The driving forces of energy consumption and carbon dioxide emissions in Iran's electricity sector: A decomposition analysis based on types of ownership
    Kouyakhi, Nima Rajabi
    Shavvalpour, Saeed
    [J]. CLEANER ENVIRONMENTAL SYSTEMS, 2021, 2
  • [47] An analysis of the decoupling relationship between CO2 emission in power industry and GDP in China based on LMDI method
    Xie, Pinjie
    Gao, Shuangshuang
    Sun, Feihu
    [J]. JOURNAL OF CLEANER PRODUCTION, 2019, 211 : 598 - 606
  • [48] Can China achieve its water use peaking in 2030? A scenario analysis based on LMDI and Monte Carlo method
    Zhang, Chenjun
    Zhao, Yi
    Shi, Changfeng
    Chiu, Yung-ho
    [J]. JOURNAL OF CLEANER PRODUCTION, 2021, 278
  • [49] Life Cycle Building Carbon Emissions Assessment and Driving Factors Decomposition Analysis Based on LMDI-A Case Study of Wuhan City in China
    Gong, Yuanyuan
    Song, Deyong
    [J]. SUSTAINABILITY, 2015, 7 (12) : 16670 - 16686
  • [50] Driving Forces of Water Intensity in China's Industrial Sector: A Global Meta-Frontier Production-Theoretical Decomposition Analysis
    Ding, Tao
    Li, Jiangyuan
    Shi, Xing
    Wu, Huaqing
    [J]. WATER ECONOMICS AND POLICY, 2021, 07 (03)