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

Author

Listed:
  • Bart Sweerts

    (ETH Zürich
    University of Amsterdam)

  • Stefan Pfenninger

    (ETH Zürich)

  • Su Yang

    (ETH Zürich
    China Meteorological Administration)

  • Doris Folini

    (ETH Zürich)

  • Bob Zwaan

    (University of Amsterdam
    Netherlands Organisation for Applied Scientific Research (ECN-TNO)
    Johns Hopkins University)

  • Martin Wild

    (ETH Zürich)

Abstract

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.

Suggested Citation

  • Bart Sweerts & Stefan Pfenninger & Su Yang & Doris Folini & Bob Zwaan & Martin Wild, 2019. "Author Correction: Estimation of losses in solar energy production from air pollution in China since 1960 using surface radiation data," Nature Energy, Nature, vol. 4(8), pages 718-718, August.
    • Handle: RePEc:nat:natene:v:4:y:2019:i:8:d:10.1038_s41560-019-0445-8
    DOI: 10.1038/s41560-019-0445-8
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    Citations

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    Cited by:

    1. Liu, Fa & Wang, Xunming & Sun, Fubao & Wang, Hong, 2022. "Correct and remap solar radiation and photovoltaic power in China based on machine learning models," Applied Energy, Elsevier, vol. 312(C).
    2. Guo, Junhong & Chen, Zhuo & Meng, Jing & Zheng, Heran & Fan, Yuri & Ji, Ling & Wang, Xiuquan & Liang, Xi, 2024. "Picturing China's photovoltaic energy future: Insights from CMIP6 climate projections," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    3. Sadat, Seyyed Ali & Hoex, Bram & Pearce, Joshua M., 2022. "A Review of the Effects of Haze on Solar Photovoltaic Performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    4. Cheng, Xinghong & Ye, Dong & Shen, Yanbo & Li, Deping & Feng, Jinming, 2022. "Studies on the improvement of modelled solar radiation and the attenuation effect of aerosol using the WRF-Solar model with satellite-based AOD data over north China," Renewable Energy, Elsevier, vol. 196(C), pages 358-365.
    5. Zeng, Shihong & Tanveer, Arifa & Fu, Xiaolan & Gu, Yuxiao & Irfan, Muhammad, 2022. "Modeling the influence of critical factors on the adoption of green energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    6. Song, Zhe & Cao, Sunliang & Yang, Hongxing, 2024. "Quantifying the air pollution impacts on solar photovoltaic capacity factors and potential benefits of pollution control for the solar sector in China," Applied Energy, Elsevier, vol. 365(C).
    7. Abbas, Shahbaz & Techato, Kuaanan & Chiang Hsieh, Lin-Han & Sadeq, Abdellatif M., 2024. "Integrating relational values in social acceptance of photovoltaic energy storage systems: A consumers' perspective assessment using structural equation modeling," Energy, Elsevier, vol. 304(C).
    8. Xiao, Han & Song, Feng & Zheng, Xinye & Chen, Jiaying, 2023. "Community-based energy revolution: An evaluation of China's photovoltaic poverty alleviation Program's economic and social benefits," Energy Policy, Elsevier, vol. 177(C).
    9. Song, Zhe & Liu, Jia & Yang, Hongxing, 2021. "Air pollution and soiling implications for solar photovoltaic power generation: A comprehensive review," Applied Energy, Elsevier, vol. 298(C).
    10. Kuang-Sheng Liu & Iskandar Muda & Ming-Hung Lin & Ngakan Ketut Acwin Dwijendra & Gaylord Carrillo Caballero & Aníbal Alviz-Meza & Yulineth Cárdenas-Escrocia, 2023. "An Application of Machine Learning to Estimate and Evaluate the Energy Consumption in an Office Room," Sustainability, MDPI, vol. 15(2), pages 1-14, January.

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