王博妮,王锋,葛行成,等. 海上风电气象服务关键技术及应用分析[J]. 南方能源建设,2025,12(1):65-74.. DOI: 10.16516/j.ceec.2024-126
引用本文: 王博妮,王锋,葛行成,等. 海上风电气象服务关键技术及应用分析[J]. 南方能源建设,2025,12(1):65-74.. DOI: 10.16516/j.ceec.2024-126
WANG Boni, WANG Feng, GE Hangcheng, et al. Analysis of key technologies and applications of meteorological service for offshore wind power [J]. Southern energy construction, 2025, 12(1): 65-74. DOI: 10.16516/j.ceec.2024-126
Citation: WANG Boni, WANG Feng, GE Hangcheng, et al. Analysis of key technologies and applications of meteorological service for offshore wind power [J]. Southern energy construction, 2025, 12(1): 65-74. DOI: 10.16516/j.ceec.2024-126

海上风电气象服务关键技术及应用分析

Analysis of Key Technologies and Applications of Meteorological Service for Offshore Wind Power

  • 摘要:
    目的 海上风电安全至关重要,气象服务能有效解决影响风电场安全的浪高、风暴潮、强对流以及海雾等预报预警难点问题,保障海上风电项目安全、高效运行。
    方法 文章以江苏省海上风电场气象服务为例,通过数据同化技术和最新人工智能方法,结合数值模式,建立海上风电场风-浪-流预报、波浪有效波高和风暴潮智能预报、海上风电场高影响天气监测预报预警等关键技术,最终形成海上风电精细化气象服务与应用,并对气象赋能海上风电产业链和加强不同行业技术融合等提出思考。
    结果 结果表明,近海风电场10 m风、100 m风、浪高等要素预报时空分辨率提高至1 h、3 km;有效波高和风暴潮潮位预报时效增至72 h,6 h预报准确率达85%;强对流预警时效提前1 h、海雾预警提前30 min,预报准确率达92%;技术实现了多工作场景的精细化气象服务应用。
    结论 研究海上风电气象服务关键技术的应用,能有效提升海上风电安全生产和运维能力,优化海上风电机组发电效率,降低出海作业成本及损耗,保障出海作业安全,减少生命财产损失。此外,随着海上风电的发展,气象服务将不断加强与不同学科的技术融合,赋能海上风电全产业链的发展。

     

    Abstract:
    Objective Offshore wind power safety is of paramount importance. Meteorological services effectively address forecasting and warning challenges related to high waves, storm surges, severe convection and sea fog that impact wind farm safety, ensuring the secure and efficient operation of offshore wind energy projects.
    Method This paper took the meteorological services for offshore wind farms in Jiangsu as an example. By utilizing the data assimilation techniques and state-of-the-art artificial intelligence methods, combined with numerical models, it developed key technologies such as wind-wave-current forecasting for offshore wind farms, intelligent forecasting of significant wave height and storm surges, as well as high-impact weather monitoring and forecasting alerts. Ultimately, this led to the refinement of meteorological services and applications for offshore wind farms. The reflections on the empowerment of meteorology in the offshore wind power industry and the enhancement of technological integration across different sectors were presented.
    Result The results indicate that the spatial and temporal resolution of forecasting elements such as 10 m wind, 100 m wind, and wave height in offshore wind farms has been improved to 1 hour and 3 kilometers. The lead time for forecasting significant wave height and storm surge water level has increased to 72 hours, with an 85% accuracy rate for 6-hour forecasts. The lead time for severe convective warnings has been advanced by 1 hour, and sea fog warnings by half an hour, with a forecast accuracy rate of 92%. The technology has enabled refined meteorological services and applications for multiple working scenarios.
    Conclusion The application of key technologies in offshore wind farm meteorological services has effectively enhanced the safety production and O & M capabilities of offshore wind power, optimized the power generation efficiency of offshore wind turbine units, reduced the costs and losses of offshore operations, ensured the safety of offshore operations, and minimized losses of life and property. As offshore wind farms continue to evolve, meteorology will increasingly integrate with various disciplines, empowering the development of the entire offshore wind power industry chain.

     

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