摘要
海面风场风能资源分析对海上风电场的建设开发具有重要意义.近年来随着遥感技术的发展,星载合成孔径雷达(SAR)为海面风能的分析与评估提供了新手段.基于2015—2019年福建沿海区域的122景Sentinel-1 SAR影像,采用快速傅里叶变换风向反演方法及地球物理模式函数CMOD5.N风速反演方法对福建沿海区域进行SAR风场反演,并从风能有效性、稳定性及时空分布特征方面分析福建近海风能资源.主要结果显示:风速数值范围较大的秋、冬季有效风能占比较高,可达70%以上;福建沿海区域多年平均风能稳定性较好,春、秋、冬季风能稳定性较好,而夏季风能稳定性较差;福建沿海风能的空间分布主要为东北—西南走向逐渐递减类型,在台湾海峡中部区域出现风能最大值.
The analysis of wind energy resources in sea-surface wind farms is of great significance to the construction and development of offshore wind farms.In recent years,with the development of remote sensing technology,synthetic aperture radar(SAR)has provided a new method for the analysis and evaluation of sea-surface wind energy.Based on 122 Sentinel-1 SAR images of Fujian coastal areas from 2015 to 2019,this study uses fast Fourier transform wind direction inversion and geophysical model function CMOD5.N wind speed inversion to reconstruct SAR winds in the coastal areas of Fujian,and analyzes the offshore wind energy resources in Fujian from the aspects of efficiency,stability and temporal and spatial distribution characteristics of wind energy.Our main results show as following:The effective wind energy in autumn and winter accounts for a relatively high proportion,up to more than 70%.The stability of wind energy in the coastal area of Fujian is good on average for many years,good in spring,autumn and winter,and poor in summer.The wind energy along the coast of Fujian mainly declines from northeast to southwest,and the maximum wind energy appears in the middle of the Taiwan Strait.
作者
朱琳
谢婷
王怡人
胡利平
耿旭朴
ZHU Lin;XIE Ting;WANG Yiren;HU Liping;GENG Xupu(State Key Laboratory of Marine Environmental Science,Engineering Research Center of Ocean Remote Sensing Big Data,Fujian Province Higher Education Institutes,College of Ocean and Earth Sciences,Xiamen University,Xiamen 361102,China;Science and Technology on Electromagnetic Scattering Laboratory,Beijing Institute of Environmental Features,Beijing 100854,China)
出处
《厦门大学学报（自然科学版）》
CAS
CSCD
北大核心
2022年第1期140-148,共9页
Journal of Xiamen University：Natural Science
基金
国家海洋局全球变化与海气相互作用项目(GASI-02-PAC-YGST2-02)。
