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Carbon footprint accounting of a typical wind farm in China

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  • Ji, Shiyu
  • Chen, Bin

Abstract

The reserves and exploitable capacity of the wind power resource in China are both ranked first in the world and could be developed to strengthen China’s energy security and mitigate global warming. Carbon footprint accounting of wind farms is vital for large-scale wind energy exploitation. This paper establishes a systematic accounting framework with life cycle assessment (LCA) and input–output analysis (IOA) for the overall carbon footprint of the life cycle of a typical wind farm. Carbon emissions from the construction, operation, and dismantling phases are considered in the LCA of the wind farm. Then, each expense of the wind farm is treated as a change in exogenous demand for the output of the corresponding economic sectors according to the IOA. In addition, the virtual carbon footprint from peak regulation triggered by the on-grid fluctuation of wind power is incorporated. The results show the total carbon footprint of the studied wind farm is 1.45×104tCO2 over the 21-year lifetime. The construction phase accounts for the largest fraction (76.74%), followed by the operation phase (15.32%) and dismantling phase (7.94%). According to the IOA, the indirect carbon footprint of the wind farm is greater than the direct footprint. The “Smelting and Pressing of Metals” sector that produces the steel and copper used to manufacture the wind turbines dominates the carbon footprint. The virtual carbon footprint of coal-fired power for wind power peak regulation is estimated to be 2.08×103tCO2, which is close to that of the operation phase.

Suggested Citation

  • Ji, Shiyu & Chen, Bin, 2016. "Carbon footprint accounting of a typical wind farm in China," Applied Energy, Elsevier, vol. 180(C), pages 416-423.
  • Handle: RePEc:eee:appene:v:180:y:2016:i:c:p:416-423
    DOI: 10.1016/j.apenergy.2016.07.114
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    References listed on IDEAS

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    6. Li, Jinying & Li, Sisi & Wu, Fan, 2020. "Research on carbon emission reduction benefit of wind power project based on life cycle assessment theory," Renewable Energy, Elsevier, vol. 155(C), pages 456-468.
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    8. Savino, Matteo M. & Manzini, Riccardo & Della Selva, Vincenzo & Accorsi, Riccardo, 2017. "A new model for environmental and economic evaluation of renewable energy systems: The case of wind turbines," Applied Energy, Elsevier, vol. 189(C), pages 739-752.
    9. Gao, Chengkang & Zhu, Sulong & An, Nan & Na, Hongming & You, Huan & Gao, Chengbo, 2021. "Comprehensive comparison of multiple renewable power generation methods: A combination analysis of life cycle assessment and ecological footprint," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
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