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

Renewable energy is critical for addressing global climate change, and accurate assessments of its potential are key for decision making and planning. This study provides a detailed, farm-level evaluation of offshore wind power potential in China, incorporating realistic turbine layouts derived from remote sensing data, wake loss modeling, and future climate scenarios. Our findings show that accounting for the farm-level details results in a China's offshore wind potential of 2.5-4.2 PWh yr<sup>-1</sup> which is significantly lower than previous estimates, which often exceeded 5.6 PWh yr<sup>-1</sup>. Through modeling the wake loss effects within wind farms, the study reveals that wake losses are higher than previously assumed in earlier research. Additionally, the study highlights substantial economic and technical disparities between nearshore bottom-fixed and deep-water floating wind farms, with the latter offering higher potential density but at greater costs. Our results provide a more realistic foundation for setting energy targets, optimizing regional strategies, and promoting floating wind technologies to harness deep-water resources, thereby supporting China's transition to a sustainable energy future.

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Publication Details

Journal
Nature Communications
Published
2026-01-26
DOI
https://doi.org/10.1038/s41467-026-68655-2
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
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article

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

Gege Yin, Di Dong, Shiwei Xu, Yue Qin et al.
Nature Communications
Wind Energy Research and Development
article

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

Gege Yin, Di Dong, Shiwei Xu, Yue Qin, Gang Liu, Chuan Zhang, Lili Song, Yu Liu, Peiyu Hu
article en

Abstract

Renewable energy is critical for addressing global climate change, and accurate assessments of its potential are key for decision making and planning. This study provides a detailed, farm-level evaluation of offshore wind power potential in China, incorporating realistic turbine layouts derived from remote sensing data, wake loss modeling, and future climate scenarios. Our findings show that accounting for the farm-level details results in a China's offshore wind potential of 2.5-4.2 PWh yr<sup>-1</sup> which is significantly lower than previous estimates, which often exceeded 5.6 PWh yr<sup>-1</sup>. Through modeling the wake loss effects within wind farms, the study reveals that wake losses are higher than previously assumed in earlier research. Additionally, the study highlights substantial economic and technical disparities between nearshore bottom-fixed and deep-water floating wind farms, with the latter offering higher potential density but at greater costs. Our results provide a more realistic foundation for setting energy targets, optimizing regional strategies, and promoting floating wind technologies to harness deep-water resources, thereby supporting China's transition to a sustainable energy future.

Nature CommunicationsVol. 17(1)
King University (US), Peking University (CN), Chinese Academy of Meteorological Sciences (CN)
Openalex Percentile: Top 80%
Wind Energy Research and Development
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