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
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.
Journal of Cleaner Production
https://doi.org/10.1016/j.jclepro.2019.03.101
Aggregated NO intensity
Geographical distribution effect
10.1016/j.jclepro.2019.03.101
Dive into the research topics of 'Quantifying the geographical distribution effect on decreasing aggregated nitrogen oxides intensity in the Chinese electrical generation system'. Together they form a unique fingerprint.
Nitrogen Oxide Chemistry 100%
Electricity Generation Earth and Planetary Sciences 44%
Generation System Computer Science 44%
Spatial Distribution Earth and Planetary Sciences 33%
Amount Earth and Planetary Sciences 22%
China Earth and Planetary Sciences 22%
Efficiency Earth and Planetary Sciences 22%
Wang, J., Qiu, Y., Ma, Y., He, S., Liu, N., Feng, Y., Dong, Z., & Liu, L. (2019). Quantifying the geographical distribution effect on decreasing aggregated nitrogen oxides intensity in the Chinese electrical generation system. Journal of Cleaner Production, 222, 856-864. https://doi.org/10.1016/j.jclepro.2019.03.101
Wang, Junfeng ; Qiu, Ye ; Ma, Yupei et al. / Quantifying the geographical distribution effect on decreasing aggregated nitrogen oxides intensity in the Chinese electrical generation system. In: Journal of Cleaner Production. 2019 ; Vol. 222. pp. 856-864.
@article{f4831f6f032444b5b0290e0b7cc65f30,
title = "Quantifying the geographical distribution effect on decreasing aggregated nitrogen oxides intensity in the Chinese electrical generation system",
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. ",
keywords = "Aggregated NO intensity, China, Electricity generation, Geographical distribution effect, LMDI",
author = "Junfeng Wang and Ye Qiu and Yupei Ma and Shutong He and Nan Liu and Yinchang Feng and Zhanfeng Dong and Lingxuan Liu",
doi = "10.1016/j.jclepro.2019.03.101",
journal = "Journal of Cleaner Production",
Wang, J, Qiu, Y, Ma, Y, He, S, Liu, N, Feng, Y, Dong, Z & Liu, L 2019, 'Quantifying the geographical distribution effect on decreasing aggregated nitrogen oxides intensity in the Chinese electrical generation system', Journal of Cleaner Production, vol. 222, pp. 856-864. https://doi.org/10.1016/j.jclepro.2019.03.101
Quantifying the geographical distribution effect on decreasing aggregated nitrogen oxides intensity in the Chinese electrical generation system. / Wang, Junfeng; Qiu, Ye; Ma, Yupei et al.
In: Journal of Cleaner Production, Vol. 222, 10.06.2019, p. 856-864.
T1 - Quantifying the geographical distribution effect on decreasing aggregated nitrogen oxides intensity in the Chinese electrical generation system
AU - Wang, Junfeng
AU - Qiu, Ye
AU - Ma, Yupei
AU - He, Shutong
AU - Liu, Nan
AU - Feng, Yinchang
AU - Dong, Zhanfeng
AU - Liu, Lingxuan
N2 - 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.
AB - 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.
KW - Aggregated NO intensity
KW - Electricity generation
KW - Geographical distribution effect
KW - LMDI
U2 - 10.1016/j.jclepro.2019.03.101
DO - 10.1016/j.jclepro.2019.03.101
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
Wang J, Qiu Y, Ma Y, He S, Liu N, Feng Y et al. Quantifying the geographical distribution effect on decreasing aggregated nitrogen oxides intensity in the Chinese electrical generation system. Journal of Cleaner Production. 2019 Jun 10;222:856-864. doi: 10.1016/j.jclepro.2019.03.101