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Targeted emission reductions from global super-polluting power plant units

Nature Sustainabilityvolume 1pages5968 (2018) | Download Citation

Abstract

There are more than 30,000 biomass- and fossil-fuel-burning power plants now operating worldwide, reflecting a tremendously diverse infrastructure, which ranges in capacity from less than a megawatt to more than a gigawatt. In 2010, 68.7% of electricity generated globally came from these power plants, compared with 64.2% in 1990. Although the electricity generated by this infrastructure is vital to economic activity worldwide, it also produces more CO2 and air pollutant emissions than infrastructure from any other industrial sector. Here, we assess fuel- and region-specific opportunities for reducing undesirable air pollutant emissions using a newly developed emission dataset at the level of individual generating units. For example, we find that retiring or installing emission control technologies on units representing 0.8% of the global coal-fired power plant capacity could reduce levels of PM2.5 emissions by 7.7–14.2%. In India and China, retiring coal-fired plants representing 1.8% and 0.8% of total capacity can reduce total PM2.5 emissions from coal-fired plants by 13.2% and 16.0%, respectively. Our results therefore suggest that policies targeting a relatively small number of ‘super-polluting’ units could substantially reduce pollutant emissions and thus the related impacts on both human health and global climate.

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Acknowledgements

This work was supported by the National Science Foundation of China (41625020), China’s National Basic Research Program (2014CB441301), and the National Key R&D program (2016YFC0201506). Q.Z. and K.H. are supported by the Collaborative Innovation Center for Regional Environmental Quality. D.G. acknowledges support from the ational Science Foundation of China (41629051). The India component of the work was funded by the Office of Biological and Environmental Research in the US Department of Energy, Office of Science, for which Z.L. and D.G.S. are grateful to Ashley Williamson and Bob Vallario.

Author information

Affiliations

  1. Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, 100084, People’s Republic of China

    • Dan Tong
    • , Qiang Zhang
    • , Steven J. Davis
    • , Guannan Geng
    • , Tao Xue
    • , Meng Li
    • , Chaopeng Hong
    •  & Dabo Guan
  2. State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, People’s Republic of China

    • Dan Tong
    • , Fei Liu
    • , Bo Zheng
    •  & Kebin He
  3. Department of Earth System Science, University of California, Irvine, CA, 92697, USA

    • Steven J. Davis
  4. Energy Systems Division, Argonne National Laboratory, Argonne, IL, 60439, USA

    • Zifeng Lu
    •  & David G. Streets
  5. School of International Development, University of East Anglia, Norwich, NR4 7TJ, UK

    • Dabo Guan

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Contributions

Q.Z. designed the research. D.T., F.L., B.Z., G.G., T.X., M.L. and C.H. performed the research. Z.L. and D.G.S. provided data for Indian power plants. D.T., S.J.D. and Q.Z. interpreted data. D.T., S.J.D. and Q.Z. wrote the paper with inputs from all co-authors.

Competing interests

The authors declare no competing financial interests.

Corresponding authors

Correspondence to Qiang Zhang or Steven J. Davis.

Supplementary information

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    Supplementary Methods, Supplementary Figs. 1–8, Supplementary References.

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https://doi.org/10.1038/s41893-017-0003-y

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