Quantifying the geographical distribution effect on decreasing aggregated nitrogen oxides intensity in the Chinese electrical generation system

Junfeng Wang*, Ye Qiu, Yupei Ma, Shutong He, Nan Liu, Yinchang Feng, Zhanfeng Dong, Lingxuan Liu

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

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Abstract

Over the past 20 years, the spatial distribution of electrical generation and its relationship to cross-regional power transmission has impacted China's power generation system and significantly affected the total amount of NO x and the aggregated nitrogen oxides intensity (ANI) of the system. An investigation of the driving mechanisms of ANI that considers the unevenness of regional electricity generation will be crucial to future improvements in the NO x efficiency of the electrical generation system in China. In this study, we built a decomposition model for ANI by incorporating the spatial distribution of electrical generation and found that the spatial distribution of electricity generation together with energy-related factors gradually caused decreases in ANI. The efficiency of electricity generation presented the dominant inhibitory effect on ANI, but its effect size has weakened since 2010. In contrast, the fossil fuel structure of thermal power shows an increasingly positive effect on changes in ANI. The primary energy composition only slightly affected changes in ANI. Moreover, the changed geographical distribution of electricity generation is non-negligible and has a positive effect on reduction of the ANI of the Chinese electrical generation system. The transferred amount of local NO x emissions by cross-provincial electricity transmission, however, could cause lead to additional environmental costs for generators. This issue should receive more attention in the future.

Original languageEnglish
Pages (from-to)856-864
Number of pages9
JournalJournal of Cleaner Production
Volume222
Early online date11 Mar 2019
DOIs
Publication statusPublished - 10 Jun 2019

Funding

This work was supported by the National Natural Science Foundation of China [grant number 71373134 ], the Special Foundation to build universities of Tianjin [grant number C0291760 ], the China Scholarship Council [grant number 201806200003 ], the Tianjin Natural Science Foundation [grant number 18JCZDJC39900 ] and the Fundamental Research Funds for the Central Universities .

FundersFunder number
Special FoundationC0291760
National Natural Science Foundation of China71373134
China Scholarship Council201806200003
Natural Science Foundation of Tianjin City18JCZDJC39900
Fundamental Research Funds for the Central Universities

    Keywords

    • Aggregated NO intensity
    • China
    • Electricity generation
    • Geographical distribution effect
    • LMDI

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