星载SAR近岸海上风能遥感研究进展

范开国; 常俊芳; 顾艳镇; 南明星; 冉阳; 周育峰

doi:10.3969/j.issn.1001-909X.2019.03.006

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海洋学研究 ›› 2019, Vol. 37 ›› Issue (3) : 49-54. DOI: 10.3969/j.issn.1001-909X.2019.03.006

研究论文

星载SAR近岸海上风能遥感研究进展

范开国^1,3, 常俊芳², 顾艳镇³, 南明星¹, 冉阳⁴, 周育峰⁵

作者信息 +

Review on remote sensing of offshore wind energy resources by space-borne SAR

FAN Kai-guo^1,3, CHANG Jun-fang², GU Yan-zhen³, NAN Ming-xing¹, RAN Yang⁴, ZHOU Yu-feng⁵

Author information +

文章历史 +

摘要

星载SAR已成为近岸海上风能资源研究的新技术手段之一。本文回顾了SAR近岸海上风能遥感研究进展,特别是国内外星载SAR近岸海上风能遥感探测技术研究、遥感应用研究以及SAR风机尾流遥感探测研究的发展。同时针对星载SAR近岸海上风能遥感研究目前存在的问题和今后有待研究的方向进行了探讨。

Abstract

Space-borne Synthetic Aperture Radar (SAR) has become one of the new methods for the research of the offshore wind energy resources remote sensing. In this study, progress on the study of offshore wind energy resources remote sensing by space-borne SAR has been reviewed. Especially both the technology and application of the offshore wind energy resources remote sensing, and also the offshore wind turbine wake remote sensing by space-borne SAR are mainly introduced. Meanwhile, we discuss some issues in the present of the studies on the offshore wind energy resources remote sensing by SAR and the research orientation in future.

导出引用

范开国, 常俊芳, 顾艳镇, 南明星, 冉阳, 周育峰. 星载SAR近岸海上风能遥感研究进展[J]. 海洋学研究. 2019, 37(3): 49-54 https://doi.org/10.3969/j.issn.1001-909X.2019.03.006

FAN Kai-guo, CHANG Jun-fang, GU Yan-zhen, NAN Ming-xing, RAN Yang, ZHOU Yu-feng. Review on remote sensing of offshore wind energy resources by space-borne SAR[J]. Journal of Marine Sciences. 2019, 37(3): 49-54 https://doi.org/10.3969/j.issn.1001-909X.2019.03.006

中图分类号： TK81

参考文献

[1] XING Xu-huang,ZHU Rong,ZHAI Pan-mao,et al. The high-resolution numerical simulation of wind energy resources in Hainan province over its offshore waters[J]. Journal of Tropical Meteorology, 2009,125(4):421-426.
邢旭煌,朱蓉,翟盘茂, 等. 海南省及其近海风能资源的高分辨率数值模拟[J]. 热带气象学报,2009,125(4):421-426.
[2] BERNHARD L, JØRGEN H. Evaluation of the wind-resource estimation programfor offshore applications[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2001,89(3-4):271-291.
[3] LI Xiao-Yan. Application of mesoscale atmospheric model in assessment of offshore wind energy resources[D]. Hefei:University of Science and Technology of China,2004.
李晓燕. 中尺度大气模式在海上风能资源评估中的应用研究[D]. 合肥:中国科学技术大学,2004.
[4] ZHOU Rong-wei, HE Xiao-feng, ZHU Rong, et al. Numerical simulation of the development potential of wind energy resources over China's offshore areas[J]. Resources Science, 2010,32(8):1 434-1 443.
周荣卫,何晓凤,朱容,等. 中国近海风能资源开发潜力数值模拟[J]. 资源科学,2010,32(8):1 434-1 443.
[5] ELLIOTT D, SCHWARTZ M, SCOTT G,et al. Wind energy resource atlas of southeast China[R]. National Renewable Energy Laboratory, 2002.
[6] XU Jing-wei. Application of satellite data and numerical models in assessment of offshore wind energy resources in China[D]. Nanjing:Nanjing University of Information Science and Technology,2009.
徐经纬. 卫星资料与数值模式在中国近海风能资源评估中的应用研究[D]. 南京:南京信息工程大学,2009.
[7] ZHANG Xuan.Retrieval of sea surface wind field from C-Band fully polarized SAR images[D]. Nanjing:Nanjing University of Information Science and Technology,2018.
张璇. C波段全极化SAR图像海面风场反演研究[D].南京:南京信息工程大学,2018.
[8] LIN Ming-sen,YUAN Xin-zhe, LIU Jian-qiang, et al. Application of GF-3 satellite monitoring typhoon[J]. Spacecraft Engineering, 2017, 26(6):171.
林明森, 袁新哲, 刘建强,等. 高分三号卫星在台风监测中的应用[J]. 航天器工程, 2017,26(6):171.
[9] BI Shang-shang. Sea surface wind vector retrieval based on satellite SAR images of Sentinel-1A[D]. Xiamen:Xiamen University, 2016.
毕上上. 基于Sentinel-1A卫星SAR图像的海面风矢量反演研究[D]. 厦门:厦门大学,2016.
[10] ZHANG B, PERRIE W, HE Y. Wind speed retrieval from RADARSAT-2 quad-polarization images using a new polarization ratio model[J].Journal of Geophysical Research. 2011, 116(C08008): doi:10.1029/2010JC006522.
[11] ISOGUCHI O, SHIMADA M. An L-band ocean geophysical model function derived from PALSAR[J]. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(7):1 925-1 936.
[12] REN Yong-zheng. Retrieval of sea surface wind field and sea surface flow field from Satellite TerraSAR-X image[D]. Qingdao:Ocean University of China,2009.
任永政. 从卫星TerraSAR_X图像反演海面风场和海表流场方法研究[D]. 青岛:中国海洋大学,2009.
[13] STOFFELEN A D, ANDERSON D.Scatterometer data interpretation: transfer function CMOD4[J]. Journal of Geophysical Research, 1997, 102(c3): 5 767-5 780.
[14] QUILFEN Y, CHAPRON B, ELFOUHAILY T, et al. Observation of tropical cyclones by high-resolution scatterometry[J]. Journal of Geophysical Research, 1998, 103(C4): 7 767-7 786.
[15] HERSBACH H, STOFFELEN A D, HAAN S.An improved C-band scatterometer ocean geophysical model function: CMOD5[J]. Journal of Geophysical Research,2007, 112 (C03006): 1-18.
[16] HERSBACH H. Comparison of C-band scatterometer CMOD5.N equivalent neutral winds with ECMWF[J]. Journal of Atmospheric and Oceanic Technology,2010, 27(4): 721-736.
[17] VACHON P W, WOLFE J. C-band cross-polarization wind speed retrieval[J]. IEEE Geoscience & Remote Sensing Letters, 2011, 8(3):456-459.
[18] XU Qing,ZHANG Guo-sheng, ZHANG Shuang-shang, et al. Evolution of typhoon Soudelor observed by RADARSAT-2 SAR[C]//IEEE International Geoscience & Remote Sensing Symposium. IEEE, 2017:735-738.
[19] LI X M, LEHNER S. Observation of TerraSAR-X for studies on offshore wind turbine wake in near and far fields[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(3): 1 757-1 768.
[20] ZHU Rui-zhao, XUE Heng. China's wind energy resources[J]. Journal of Solar Energy, 1981, 2(2):117-124.
朱瑞兆, 薛桁. 我国风能资源[J]. 太阳能学报, 1981, 2(2):117-124.
[21] PAN Li-li. Study on assessment of wind energy resources in Jiangsu coastal area based on WRF model[D]. Nanjing:Nanjing University of Information Science and Technology,2009.
潘丽丽. 基于WRF模式的江苏沿海风能资源评估研究[D]. 南京:南京信息工程大学,2009.
[22] SUN Wei-Guo. Climate resources science[M]. Beijing:Meteorological Publishing House,2008.
孙卫国. 气候资源学[M]. 北京:气象出版社,2008.
[23] DING Ming,WU Yi-chun,ZHANG Li-jun. Study on the algorithm to the probabilistic distribution parameters of wind speed in the wind farms[J]. Proceedings of the Chinese Society for Electricity Engineering,2005,25(10):107-110.
丁明,吴义纯,张立军. 风电场风速概率分布参数计算方法的研究[J]. 中国电机工程学与学报,2005,25(10):107-110.
[24] ZHU Chao-qun. Application of Weibull Distribution in wind energy calculation[J]. Journal of Nanjing University, 1983, 19(2):183-189.
朱超群. Weibull分布在风能计算中的应用[J]. 南京大学学报, 1983, 19(2):183-189.
[25] CHEN Guo-chu,YANG Wei,YANG Yan-chi,et al.New computation method of wind speed probability distribution parameters in wind farm[J]. Journal of Power System and Automation, 2011,23(1):46-51.
陈国初,杨维,张延迟, 等. 风电场风速概率分布参数计算新方法[J]. 电力系统及其自动化学报,2011,23(1):46-51.
[26] JUSTUS C G,HARGRAVES W R, MIKHAIL A,et al. Methods for estimating wind speed frequency distributions[J]. Journal of Applied Meteorology, 1977, 17(3):350-353.
[27] WU Xue-guang,CHEN Shu-yong,DAI Hui-zhu. Application of errors approach to analysis of wind energy resources analysis in wind farm[J]. Power System Technology, 1998, 22(7): 69-74.
吴学光,陈树勇,戴慧珠. 最小误差逼近算法在风电场风能资源特性分析中的应用[J]. 电网技术,1998,22(7):69-74.
[28] JANGAMSHETTI S H, RAU V G. Optimum setting of wind turbine generators[J].IEEE Transactions on Energy Conversion, 2001,16(1):8-13.
[29] COHEN A C.Maximum-likelihood estimation in the Weibull distribution based on complete and on censored samples[J]. Technometrics, 1965, 7(4): 579-588.
[30] PAN Pei,YANG Yong-kang,XU Jia-liang. Assessment of wind energy resources in Shanghai offshore waters[J]. Energy Technology,2008,30(30): 30-33.
潘沛,杨永康,徐家良. 上海近海海域风能资源评估研究[J]. 能源技术,2008,30(30): 30-33.
[31] HASAGER C B, FRANK H P, FUREVIK B R. On offshore wind energy mapping using satellite SAR[J]. Canadian Journal of Remote Sensing, 2002, 28(1): 80-89.
[32] HRISTIANSEN M B,KOCK W, HORSTMANN J, et al. Wind resource assessment from C-band SAR[J]. Remote Sensing of Environment, 2006, 105(1): 68-81.
[33] HASAGER C B, PEÑA A, CHRISTIANSEN M B, et al. Remote sensing observation used in offshore wind energy[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2008, 1(1): 67-79.
[34] CHRISTIANSEN M B, KOCH W, HORSTMANN J. Wind resource assessment from C-band SAR[J]. Remote Sensing Environment, 2006, 105(1): 68-81.
[35] CHRISTIANSEN M B. Wind energy applications of Synthetic Aperture Radar[R]. Denmark: Risø National Laboratory, 2008: 1-53.
[36] HASAGER C B, BADGER M, ALFREDO P, et al. SAR-based wind resource statistics in the Baltic Sea[J]. Remote Sensing,2011, 3(1): 117-144.
[37] KARAGALI I, LARSÉN X G, BADGER M, et al. Spectral properties of ENVISAT ASAR and QuikSCAT surface winds in the North Sea[J]. Remote Sensing, 2013, 5(11):6 096-6 115.
[38] CHANG Jung-fang,HUANG Wei-gen,LOU Xiu-lin, et al. Wind energy resource assessment based on ENVISAT ASAR images for the Zhejiang coastal waters[J]. Chinese High Technology Letters, 2013,23(5):467-475.
常俊芳,黄韦艮,楼琇林, 等. 基于ENVISAT ASAR影像的浙江沿海风能资源评估[J]. 高技术通讯, 2013,23(5):467-475.
[39] BARTHELMIE R, PRYOR S. Challenges in predicting power output from offshore wind[J].Journal of Energy Engineering, 2006, 132(3): 91-103.
[40] KOZAI K. Estimation method for offshore wind energy using Synthetic Aperture Radar and Weibull Parameters[C]//Proceedings of the Nineteenth (2009) International Offshore and Polar Engineering Conference (ISOPE). Osaka, Japan, 21-26 June 2009: 419-423.
[41] PRYOR S C,NIELSEN M. Can satellite sampling of offshore wind speeds realistically represent wind speed distributions Part II quantifying uncertainties associated with sampling strategy and distribution fitting methods[J]. Journal of Applied Meteorology, 2004, 43(5): 739-750.
[42] TROEN I, PETERSEN E L.European wind atlas[R]. RoskildeDenmark: Risø National Laboratory, 1989.
[43] YUKO T, TERUO O, TOMOHIRO Y, et al. Estimation of offshore wind resources in coastal waters off Shirahama Using ENVISAT ASAR Image[J]. Remote Sensing, 2013, 5(6): 2 883-2 897.
[44] NIELSEN M, ASTRUP P, HASAGER C B, et al. Satellite information for wind energy applications[R]. Denmark: Risø National Laboratory, 2004:1-56.
[45] REN Nian-xing,OU Jin-ping. Numerical analysis for the wake zone of large offshore wind turbine[J].Chinese Journal of Computational Mechanics,2012,29(3):327-332.
任年鑫,欧进萍. 大型海上风力机尾迹区域风场分析[J].计算力学学报,2012,29(3):327-332.
[46] HASAGER C B, RASMUSSEN L, ALFREDO P, et al. Wind farm wake: The horns rev photo case[J]. Energies, 2013, 6(2):696-716.
[47] BARTHELMIE R,LARSEN G, BERGSTRöMH, et al. ENDOW: Efficient development of offshore windfarms: Modelling wake and boundary-layer interactions[C]// European Wind Energy Conference. John Wiley & Sons, Ltd, 2003.