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  • JCLEPRO-D-18-05802R2 (1)

    Rights statement: This is the author’s version of a work that was accepted for publication in Journal of Cleaner Production. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Cleaner Production, 222, 2019 DOI: 10.1016/j.jclepro.2019.03.101

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

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Quantifying the geographical distribution effect on decreasing aggregated nitrogen oxides intensity in the Chinese electrical generation system. / Wang, J.; Qiu, Y.; Ma, Y. et al.

In: Journal of Cleaner Production, Vol. 222, 10.06.2019, p. 856-864.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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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. Epub 2019 Mar 11. doi: 10.1016/j.jclepro.2019.03.101

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Wang, J. ; Qiu, Y. ; Ma, Y. 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.

Bibtex

@article{79aeb1c562eb4403bea03e32491eae2d,
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 x intensity, China, Electricity generation, Geographical distribution effect, LMDI, Electric power system interconnection, Fossil fuels, Geographical distribution, Nitrogen oxides, Spatial distribution, Aggregated NOx intensity, Electrical generation, Electricity transmission, Environmental costs, Power generation systems, Electric power generation",
author = "J. Wang and Y. Qiu and Y. Ma and S. He and N. Liu and Y. Feng and Z. Dong and L. Liu",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Journal of Cleaner Production. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Cleaner Production, 222, 2019 DOI: 10.1016/j.jclepro.2019.03.101",
year = "2019",
month = jun,
day = "10",
doi = "10.1016/j.jclepro.2019.03.101",
language = "English",
volume = "222",
pages = "856--864",
journal = "Journal of Cleaner Production",
issn = "0959-6526",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - Quantifying the geographical distribution effect on decreasing aggregated nitrogen oxides intensity in the Chinese electrical generation system

AU - Wang, J.

AU - Qiu, Y.

AU - Ma, Y.

AU - He, S.

AU - Liu, N.

AU - Feng, Y.

AU - Dong, Z.

AU - Liu, L.

N1 - This is the author’s version of a work that was accepted for publication in Journal of Cleaner Production. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Cleaner Production, 222, 2019 DOI: 10.1016/j.jclepro.2019.03.101

PY - 2019/6/10

Y1 - 2019/6/10

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 x intensity

KW - China

KW - Electricity generation

KW - Geographical distribution effect

KW - LMDI

KW - Electric power system interconnection

KW - Fossil fuels

KW - Geographical distribution

KW - Nitrogen oxides

KW - Spatial distribution

KW - Aggregated NOx intensity

KW - Electrical generation

KW - Electricity transmission

KW - Environmental costs

KW - Power generation systems

KW - Electric power generation

U2 - 10.1016/j.jclepro.2019.03.101

DO - 10.1016/j.jclepro.2019.03.101

M3 - Journal article

VL - 222

SP - 856

EP - 864

JO - Journal of Cleaner Production

JF - Journal of Cleaner Production

SN - 0959-6526

ER -