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

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Authors: Shiwei Xu, Gege Yin, Peiyu Hu, Di Dong, Yue Qin, Yu Liu, Gang Liu, Lili Song, Chuan Zhang
Cited by: 5
References: 60

Abstract

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 −1 which is significantly lower than previous estimates, which often exceeded 5.6 PWh yr −1 . 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.

Fields of Study & Subjects

Wind Energy Research and Development Wave and Wind Energy Systems Social Acceptance of Renewable Energy

Publication details

Journal / source
Nature Communications
Publisher
Springer Science and Business Media LLC
Volume
17
Issue
1
Publication date
26 January 2026
Language
EN