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Title: Estimation of abatement potentials and costs of air pollution emissions in China

Abstract

Understanding the air pollution emission abatement potential and associated control cost is a prerequisite to design cost ef?cient control policies. In this study, a linear programming algorithm model, International Control Cost Estimate Tool, was updated with cost data for applications of 56 types of end-of-pipe technologies and ?ve types of renewable energy in 10 major sectors namely power generation, industry combustion, cement pro-duction, iron and steel production, other industry processes, domestic combustion, transportation, solvent use, livestock rearing, and fertilizer use. The updated model was implemented to estimate the abatement potential and marginal cost of multiple pollutants in China. The total maximum abatement potentials of sulfur dioxide (SO2), nitrogen oxides (NOx), primary particulate matter (PM2.5), non-volatile organic compounds (NMVOCs), and ammonia (NH3) in China were estimated to be 19.2, 20.8, 9.1, 17.2 and 8.6 Mt, respectively, which accounted for 89.7%, 89.9%, 94.6%, 74.0%, and 80.2% of their total emissions in 2014, respectively. The associated control cost of such reductions was estimated as 92.5, 469.7, 75.7, 449.0, and 361.8 billion CNY in SO2, NOx, primary PM2.5, NMVOCs and NH3, respectively. Shandong, Jiangsu, Henan, Zhejiang, and Guangdong provinces exhibited large abatement potentials for all pollutants. Provincial disparity analysis shows that high GDP regionsmore » tend to have higher reduction potential and total abatement costs. End-of-pipe technologies tended be a cost-ef?cient way to control pollution in industries processes (i.e., cement plants, iron and steel plants, lime production, building ceramic production, glass and brick production), whereas such technologies were less cost- effective in fossil fuel-related sectors (i.e., power plants, industry combustion, domestic combustion, and transportation) compared with renewable energy. The abatement potentials and marginal abatement cost curves developed in this study can further be used as a crucial component in an integrated model to design optimized cost-ef?cient control policies.« less

Authors:
 [1];  [1];  [2];  [1];  [3];  [1];  [4];  [4];  [5];  [6];  [1]
  1. Tsinghua University
  2. Tianjin University
  3. BATTELLE (PACIFIC NW LAB)
  4. Renmin University of China
  5. USEPA/Offce of Air Quality Planning & Standards, Research Triangle Park, NC
  6. South China University of Technology
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1599114
Report Number(s):
PNNL-SA-151022
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
Journal of Environmental Management
Additional Journal Information:
Journal Volume: 260
Country of Publication:
United States
Language:
English

Citation Formats

Zhang, Fenfen, Xing, Jia, Zhou, Yang, Wang, Shuxiao, Zhao, Bin, Zheng, Haotian, Zhao, Xiao, Chang, Huanzhen, Jang, C. J., Zhu, Yun, and Hao, Jiming. Estimation of abatement potentials and costs of air pollution emissions in China. United States: N. p., 2020. Web. doi:10.1016/j.jenvman.2020.110069.
Zhang, Fenfen, Xing, Jia, Zhou, Yang, Wang, Shuxiao, Zhao, Bin, Zheng, Haotian, Zhao, Xiao, Chang, Huanzhen, Jang, C. J., Zhu, Yun, & Hao, Jiming. Estimation of abatement potentials and costs of air pollution emissions in China. United States. doi:10.1016/j.jenvman.2020.110069.
Zhang, Fenfen, Xing, Jia, Zhou, Yang, Wang, Shuxiao, Zhao, Bin, Zheng, Haotian, Zhao, Xiao, Chang, Huanzhen, Jang, C. J., Zhu, Yun, and Hao, Jiming. Wed . "Estimation of abatement potentials and costs of air pollution emissions in China". United States. doi:10.1016/j.jenvman.2020.110069.
@article{osti_1599114,
title = {Estimation of abatement potentials and costs of air pollution emissions in China},
author = {Zhang, Fenfen and Xing, Jia and Zhou, Yang and Wang, Shuxiao and Zhao, Bin and Zheng, Haotian and Zhao, Xiao and Chang, Huanzhen and Jang, C. J. and Zhu, Yun and Hao, Jiming},
abstractNote = {Understanding the air pollution emission abatement potential and associated control cost is a prerequisite to design cost ef?cient control policies. In this study, a linear programming algorithm model, International Control Cost Estimate Tool, was updated with cost data for applications of 56 types of end-of-pipe technologies and ?ve types of renewable energy in 10 major sectors namely power generation, industry combustion, cement pro-duction, iron and steel production, other industry processes, domestic combustion, transportation, solvent use, livestock rearing, and fertilizer use. The updated model was implemented to estimate the abatement potential and marginal cost of multiple pollutants in China. The total maximum abatement potentials of sulfur dioxide (SO2), nitrogen oxides (NOx), primary particulate matter (PM2.5), non-volatile organic compounds (NMVOCs), and ammonia (NH3) in China were estimated to be 19.2, 20.8, 9.1, 17.2 and 8.6 Mt, respectively, which accounted for 89.7%, 89.9%, 94.6%, 74.0%, and 80.2% of their total emissions in 2014, respectively. The associated control cost of such reductions was estimated as 92.5, 469.7, 75.7, 449.0, and 361.8 billion CNY in SO2, NOx, primary PM2.5, NMVOCs and NH3, respectively. Shandong, Jiangsu, Henan, Zhejiang, and Guangdong provinces exhibited large abatement potentials for all pollutants. Provincial disparity analysis shows that high GDP regions tend to have higher reduction potential and total abatement costs. End-of-pipe technologies tended be a cost-ef?cient way to control pollution in industries processes (i.e., cement plants, iron and steel plants, lime production, building ceramic production, glass and brick production), whereas such technologies were less cost- effective in fossil fuel-related sectors (i.e., power plants, industry combustion, domestic combustion, and transportation) compared with renewable energy. The abatement potentials and marginal abatement cost curves developed in this study can further be used as a crucial component in an integrated model to design optimized cost-ef?cient control policies.},
doi = {10.1016/j.jenvman.2020.110069},
journal = {Journal of Environmental Management},
number = ,
volume = 260,
place = {United States},
year = {2020},
month = {4}
}