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Substantially lower estimates in China's offshore wind potential using farm-scale spatial modeling and wake effects

Shiwei Xu1,2, Gege Yin1,2, Peiyu Hu1,2

  • 1Institute of Energy, Peking University, Beijing, China.

Nature Communications
|January 26, 2026

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View abstract on PubMed

Summary

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  • Engineering
  • Environmental Engineering
  • Air Pollution Modelling And Control
  • Substantially Lower Estimates In China's Offshore Wind Potential Using Farm-scale Spatial Modeling And Wake Effects
  • This summary is machine-generated.

    China's offshore wind power potential is estimated at 2.5-4.2 PWh yr-1, lower than previous figures due to detailed farm-level analysis and wake loss modeling. This research offers a realistic outlook for sustainable energy planning.

    Area of Science:

    • Renewable Energy Systems
    • Climate Change Mitigation
    • Wind Energy Technology

    Background:

    • Accurate offshore wind energy assessments are crucial for effective climate change strategies and energy planning.
    • Previous estimates of China's offshore wind potential may not fully account for farm-level complexities.
    • Understanding the nuances of wind farm layouts and wake effects is essential for realistic potential evaluations.

    Purpose of the Study:

    • To provide a detailed, farm-level assessment of China's offshore wind power potential.
    • To incorporate realistic turbine layouts, wake loss modeling, and future climate scenarios into the evaluation.
    • To compare the potential and economic/technical feasibility of nearshore bottom-fixed and deep-water floating wind farms.

    Main Methods:

    • Utilized remote sensing data for realistic offshore wind turbine layouts.
    • Implemented wake loss modeling to account for energy reduction within wind farms.
    • Analyzed future climate scenarios to project potential wind energy generation.

    Main Results:

    • China's farm-level offshore wind potential is estimated at 2.5-4.2 PWh yr-1, significantly lower than prior estimates exceeding 5.6 PWh yr-1.
    • Wake loss effects within wind farms were found to be higher than previously assumed.
    • Deep-water floating wind farms show higher potential density but incur greater costs compared to nearshore bottom-fixed farms.

    Conclusions:

    • Farm-level details and wake loss modeling are critical for accurate offshore wind potential assessments.
    • The study provides a more realistic basis for China's renewable energy targets and regional strategies.
    • Promoting floating wind technologies is vital for harnessing deep-water resources and advancing China's sustainable energy transition.

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