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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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.
The authors declare no competing financial interests.
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Tong, D., Zhang, Q., Davis, S.J. et al. Targeted emission reductions from global super-polluting power plant units. Nat Sustain 1, 59–68 (2018). https://doi.org/10.1038/s41893-017-0003-y
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