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Estimation of losses in solar energy production from air pollution in China since 1960 using surface radiation data

An Author Correction to this article was published on 12 July 2019

This article has been updated


China is the largest worldwide consumer of solar photovoltaic (PV) electricity, with 130 GW of installed capacity as of 2017. China’s PV capacity is expected to reach at least 400 GW by 2030, to provide 10% of its primary energy. However, anthropogenic aerosol emissions and changes in cloud cover affect solar radiation in China. Here, we use observational radiation data from 119 stations across China to show that the PV potential decreased on average by 11–15% between 1960 and 2015. The relationship between observed surface radiation and emissions of sulfur dioxide and black carbon suggests that strict air pollution control measures, combined with reduced fossil fuel consumption, would allow surface radiation to increase. We find that reverting back to 1960s radiation levels in China could yield a 12–13% increase in electricity generation, equivalent to an additional 14 TWh produced with 2016 PV capacities, and 51–74 TWh with the expected 2030 capacities. The corresponding economic benefits could amount to US$1.9 billion in 2016 and US$4.6–6.7 billion in 2030.

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Fig. 1: Changes in national CFs from 1960–2015 in China.
Fig. 2: Provincial five-year mean CFs in China.
Fig. 3: Historic CFs and absolute change over the past 50 years on the provincial level.
Fig. 4: Aerosol emissions, estimated CFs and air pollution policy regulations from 1960–2015.

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Data availability

A subset of the data used in this paper is available from the Chinese Meteorological Administration data portal ( The data that support the plots within this paper and other findings of this study are available from the corresponding author upon reasonable request.

Code availability

The GSEE PV simulation model is available at The code used to produce CFs from the homogenized dataset is available from the corresponding author on reasonable request.

Change history

  • 12 July 2019

    In the version of this Article originally published, the units of ‘Total electricity yield’ and ‘Potential electricity gain’ in Table 1 were incorrectly presented as GWh yr–1; they should have been TWh yr–1. These errors have now been corrected.


  1. Renewable Energy Statistics 2018 (IRENA, 2018).

  2. Creutzig, F. et al. The underestimated potential of solar energy to mitigate climate change. Nat. Energy 2, 17140 (2017).

    Article  Google Scholar 

  3. Haegel, N. M. et al. Terawatt-scale photovoltaics: trajectories and challenges. Science 356, 141–143 (2017).

    Article  Google Scholar 

  4. National Electric Power Industry Statistics (NEA, 2017).

  5. Renewables 2017: Analysis and Forecasts to 2022—Executive Summary (IEA, 2017).

  6. China Wind, Solar and Bioenergy Roadmap 2050 (CNREC, 2014).

  7. Wild, M. et al. From dimming to brightening: decadal changes in solar radiation at Earth’s surface. Science 308, 847–850 (2005).

    Article  Google Scholar 

  8. Wild, M. Decadal changes in radiative fluxes at land and ocean surfaces and their relevance for global warming. Wiley Interdiscip. Rev. Clim. Change 7, 91–107 (2016).

    Article  MathSciNet  Google Scholar 

  9. Streets, D. G., Wu, Y. & Chin, M. Two-decadal aerosol trends as a likely explanation of the global dimming/brightening transition. Geophys. Res. Lett. 33, L15806 (2006).

    Article  Google Scholar 

  10. Wild, M. et al. Global dimming and brightening: an update beyond 2000. J. Geophys. Res. Atmos. 114, D00D13 (2009).

    Google Scholar 

  11. Shi, G. Y. et al. Data quality assessment and the long-term trend of ground solar radiation in China. J. Appl. Meteorol. Climatol. 47, 1006–1016 (2008).

    Article  Google Scholar 

  12. Tang, W. J., Yang, K., Qin, J., Cheng, C. C. K. & He, J. Solar radiation trend across China in recent decades: a revisit with quality-controlled data. Atmos. Chem. Phys. 11, 393–406 (2011).

    Article  Google Scholar 

  13. Yang, S., Wang, X. L. & Wind, M. Homogenization and trend analysis of 1958–2016 in situ surface solar radiation records in China. J. Clim. 31, 4529–4541 (2018).

    Article  Google Scholar 

  14. Qi, Y., Stern, N., Wu, T., Lu, J. & Green, F. China’s post-coal growth. Nat. Geosci. 9, 564–566 (2016).

    Article  Google Scholar 

  15. Li, X., Wagner, F., Peng, W., Yang, J. & Mauzerall, D. L. Reduction of solar photovoltaic resources due to air pollution in China. Proc. Natl Acad. Sci. USA 114, 11867–11872 (2017).

    Article  Google Scholar 

  16. Renewables 2017: Global Status Report (REN21, 2017).

  17. Pfenninger, S. & Staffell, I. Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data. Energy 114, 1251–1265 (2016).

    Article  Google Scholar 

  18. Peterson, T. C., Karl, T. R., Jamason, P. F., Knight, R. & Easterling, D. R. First difference method: maximizing station density for the calculation of long-term global temperature change. J. Geophys. Res. Atmos. 103, 25967–25974 (1998).

    Article  Google Scholar 

  19. Xiao, Q., Ma, Z., Li, S. & Liu, Y. The impact of winter heating on air pollution in China. PLoS ONE 10, e0117311 (2015).

    Article  Google Scholar 

  20. Liu, J. et al. Air pollutant emissions from Chinese households: a major and underappreciated ambient pollution source. Proc. Natl Acad. Sci. USA 113, 7756–7761 (2016).

    Article  Google Scholar 

  21. Blumthaler, M., Ambach, W. & Ellinger, R. Increase in solar UV radiation with altitude. J. Photochem. Photobiol. B 39, 130–134 (1997).

    Article  Google Scholar 

  22. You, Q. et al. Decadal variation of surface solar radiation in the Tibetan Plateau from observations, reanalysis and model simulations. Clim. Dynam. 40, 2073–2086 (2013).

    Article  Google Scholar 

  23. Photovoltaic Power Statistics (NEA, 2016).

  24. Proc. Introducing the 2017 Energy Situation (NEA, 2018);

  25. Kvalevåg, M. M. & Myhre, G. Human impact on direct and diffuse solar radiation during the industrial era. J. Clim. 20, 4874–4883 (2007).

    Article  Google Scholar 

  26. Bond, T. C. et al. Historical emissions of black and organic carbon aerosol from energy-related combustion, 1850–2000. Global Biogeochem. Cycles 21, GB2018 (2007).

    Article  Google Scholar 

  27. Smith, S. J. et al. Anthropogenic sulfur dioxide emissions: 1850–2005. Atmos. Chem. Phys. 11, 1101–1116 (2011).

    Article  Google Scholar 

  28. Wang, R. et al. Black carbon emissions in China from 1949 to 2050. Environ. Sci. Technol. 46, 7595–7603 (2012).

    Article  Google Scholar 

  29. Folini, D. & Wild, M. The effect of aerosols and sea surface temperature on China’s climate in the late twentieth century from ensembles of global climate simulations. J. Geophys. Res. 120, 2261–2279 (2015).

    Google Scholar 

  30. Liu, B., Xu, M., Henderson, M., Qi, Y. & Li, Y. Taking China’s temperature: daily range, warming trends, and regional variations, 1955–2000. J. Clim. 17, 4453–4462 (2004).

    Article  Google Scholar 

  31. Qian, Y., Kaiser, D. P., Leung, L. R. & Xu, M. More frequent cloud-free sky and less surface solar radiation in China from 1955 to 2000. Geophys. Res. Lett. 33, L01812 (2006).

    Google Scholar 

  32. Norris, J. R. & Wild, M. Trends in aerosol radiative effects over China and Japan inferred from observed cloud cover, solar ‘dimming,’ and solar ‘ brightening’. J. Geophys. Res. Atmos. 114, D00D15 (2009).

    Article  Google Scholar 

  33. Lu, Z., Zhang, Q. & Streets, D. G. Sulfur dioxide and primary carbonaceous aerosol emissions in China and India, 1996–2010. Atmos. Chem. Phys. 11, 9839–9864 (2011).

    Article  Google Scholar 

  34. Wang, R. et al. Trend in global black carbon emissions from 1960 to 2007. Environ. Sci. Technol. 48, 6780–6787 (2014).

    Article  Google Scholar 

  35. Li, C. et al. India is overtaking China as the world’s largest emitter of anthropogenic sulfur dioxide. Sci. Rep. 7, 14304 (2017).

    Article  Google Scholar 

  36. Wu, Y. et al. On-road vehicle emissions and their control in China: a review and outlook. Sci. Total Environ. 574, 332–349 (2017).

    Article  Google Scholar 

  37. Yang, G. et al. Rapid health transition in China, 1990–2010: findings from the Global Burden of Disease Study 2010. Lancet 381, 1987–2015 (2013).

    Article  Google Scholar 

  38. Lelieveld, J., Evans, J. S., Fnais, M., Giannadaki, D. & Pozzer, A. The contribution of outdoor air pollution sources to premature mortality on a global scale. Nature 525, 367–371 (2015).

    Article  Google Scholar 

  39. Huang, R. J. et al. High secondary aerosol contribution to particulate pollution during haze events in China. Nature 514, 218–222 (2015).

    Article  Google Scholar 

  40. Performance Evaluation on the Action Plan of Air Pollution Prevention and Control and Regional Coordination Mechanism (CCICED, 2014).

  41. The Cost of Air Pollution Strengthening the Economic Case for Action (World Bank, 2016).

  42. Lewis, N. S. Research opportunities to advance solar energy utilization. Science 351, aad1920 (2016).

    Article  Google Scholar 

  43. Green, M. A., Emery, K., King, D. L., Hisikawa, Y. & Warta, W. Solar cell efficiency tables (version 27). Prog. Photovolt. 14, 45–51 (2006).

    Article  Google Scholar 

  44. Green, M. A. et al. Solar cell efficiency tables (version 51). Prog. Photovolt. Res. Appl. 26, 3–12 (2018).

    Article  Google Scholar 

  45. Xia, X. A closer looking at dimming and brightening in China during 1961–2005. Ann. Geophys. 28, 1121–1132 (2010).

    Article  Google Scholar 

  46. Müller, J., Folini, D., Wild, M. & Pfenninger, S. CMIP-5 models project photovoltaics are a no-regrets investment in Europe irrespective of climate change. Energy 171, 135–148 (2019).

    Article  Google Scholar 

  47. Ridley, B., Boland, J. & Lauret, P. Modelling of diffuse solar fraction with multiple predictors. Renew. Energy 35, 478–483 (2010).

    Article  Google Scholar 

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The authors would like to thank J. Müller for the code used to construct the hourly GSEE input data from the daily global horizontal solar radiation data.

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Authors and Affiliations



M.W., S.P. and B.S. designed the study. B.S., S.P., M.W. and B.v.d.Z. drafted the article. B.S. and S.Y. gathered the data. B.S. analysed the data. B.S. generated the figures. All authors worked on the final manuscript.

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Correspondence to Bart Sweerts.

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Supplementary notes 1–3, Figs. 1–12, Tables 1–2 and references

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Sweerts, B., Pfenninger, S., Yang, S. et al. Estimation of losses in solar energy production from air pollution in China since 1960 using surface radiation data. Nat Energy 4, 657–663 (2019).

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