摘要
传统的海上风资源评估主要依赖沿海气象台站、海上测风塔和漂浮多普勒激光雷达设备数据或中尺度模式数据,由于海上测风设备的安装和运行成本较高,大范围海域内只能安装少量设备开展短时观测,导致测量数据的空间和时间代表性不够。中尺度模型数据也存在对海气耦合现象的解释能力和空间风速梯度变化的描绘能力不足等缺点。因此,海上风电项目在规划和设计阶段的不确定性风险较大。文章研究提出一种适用于海上风资源评估的专用解决方案/方法,该方法使用合成孔径雷达(SAR)卫星数据,结合特定的机器学习算法和中尺度数值模型生成500m空间分辨率的风场反演数据产品,利用该产品可开展高精度风资源评估。将该方法应用于中国辽宁省庄河市附近海域海上风资源评估,结果显示了很好的质量和应用效果。建议深度挖掘以及推广该解决方案,以期为中国海上风资源评估形成一套应用技术体系与方法论。
Traditional offshore wind energy assessment relies mainly on data from coastal meteorological stations,offshore wind towers or floating Doppler Lidar devices.Due to the high cost of installation and operation of offshore wind equipment,only a small amount of equipment can be installed to provide short-term observations over a large area of the sea,resulting in insufficient spatial and temporal representativeness of the measurement data,and the increasing the risk of uncertainty in offshore wind power projects at the planning and design stage.A specific solution/methodology for offshore wind energy assessment is proposed that uses synthetic aperture radar(SAR)satellite data in combination with specific machine learning algorithms and mesoscale numerical models to generate wind field inversion data products with 500 m spatial resolution.The method is applied to offshore wind energy assessment in the sea area near Zhuanghe City,Liaoning Province,China,and shows good quality and application results.This study proposes to deeply explore as well as popularize the solution in order to form a set of application technology system and methodology for offshore wind energy assessment in China.
作者
买小平
燕志婷
石杭
闫中杰
杜建国
MAI Xiaoping;YAN Zhiting;SHI Hang;YAN Zhongjie;DU Jianguo(CSSC Wind Power Development Co.,Ltd.,Beijing 100089,China)
出处
《船舶工程》
CSCD
北大核心
2024年第S02期105-109,共5页
Ship Engineering
关键词
卫星遥感
合成孔径雷达(SAR)
海上风资源评估
风电场
satellite remote sensing
synthetic aperture radar(SAR)
offshore wind energy assessment
wind farm
