RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2016, Vol. 25 >> Issue (08): 1184-1190.doi: 10.11870/cjlyzyyhj201608004

Previous Articles     Next Articles

CHARACTERISTICS OF LOW-LEVEL WIND IN SHANGHAI OFFSHORE

SHI Jun, MU Hai-zhen, XU Jia-liang, MA Yue   

  1. Shanghai Climate Center, Shanghai 200030, China
  • Received:2015-11-23 Revised:2016-04-23 Online:2016-08-20
  • Supported by:
    China Clean Development Mechanism (CDM) Fund Project (2012043 and 1212117);National Natural Science Foundation of China (41571044)

PDF (PC)

2

Abstract: The development and utilization of wind energy resources is one of the important measures of energy development strategy and power structure adjustment in China. Compared with onshore wind, offshore wind farm has many advantages, such as saving land resources, higher wind speed, higher utilization rate of wind power, and no more complex terrain to affect air flow, which makes it become the forefront of wind power technology development and industry competition in China. However, many scholars have focused on the analysis of onshore wind energy resources, and there is few studies regarding to the offshore wind resources due to a relative lack of observation data. Based on the observation data from two anemometer towers in the coastal waters of Nanhui and Fengxian, the characteristics of low-level wind, including wind shear exponent, gustiness factor and turbulence intensity in Shanghai offshore, were analyzed with numerical statistical methods. The results indicate that wind shear exponent from 10 m to 70 m is about 0.09, and gustiness factor from 10 m to 70 m is about 1.20 in Shanghai offshore. Both wind shear exponent and gustiness factor are less than the recommended values of Load Code for the Design of Building Structures. With the increase of wind speed, both wind shear exponent and gustiness factor have decreasing trends. When the wind scale is in grade 4 or above, the wind shear exponent has a good reliability, the gustiness factor changes small and the turbulence intensity remains basically unchanged. Offshore gustiness factor and turbulence intensity decrease with the increase of height, and they are stable in the heights from 40 m to 70 m. The findings from this paper can provide scientific basis and reference for wind resource assessment, major engineering design and construction over Shanghai offshore as well as the regional disaster prevention and mitigation practice.

Key words: characteristics of low-level wind, wind shear exponent, gustiness factor, turbulence intensity, Shanghai offshore

CLC Number: 

  • P425.2
[1] 陈冬晓, 顾平, 石昌雪. 中国近海风电场浅谈[J]. 科技资讯, 2014(23): 114.
[2] 彭秀芳, 王秀杰, 辜晋德. 海上风电场风能计算中关于海面粗糙度问题的探讨[J]. 太阳能学报, 2012, 33(2): 226-229.[PENG X F, WANG X J, GU J D. Discuss on the sea surface roughness of the wind energy assessment in the offshore wind farm[J]. Acta Energiae Solaris Sinica, 2012, 33(2): 226-229.]
[3] 王志新, 王承民, 艾芊, 等. 近海风电场关键技术[J]. 华东电力, 2007, 35(2): 37-41.[WANG Z X, WANG C M, AI Q, et al. Key technology for offshore wind farms[J]. East China Electric Power, 2007, 35(2): 37-41.]
[4] 郑崇伟, 潘静. 全球海域风能资源评估及等级区划[J]. 自然资源学报, 2012, 27(3): 364-371.[ZHENG C W, PAN J. Wind energy resources assessment in global ocean[J]. Journal of Natural Resources, 2012, 27(3): 364-371.]
[5] 黄孝彬, 王晓称, 郭鹏. 考虑气象因子的海上短期风速预测[J]. 太阳能学报, 2014, 35(3): 475-480.[HUANG X B, WANG X C, GUO P. The forecasting of wind speed based on Dual-RBF neural network considering the meteorological factors[J]. Acta Energiae Solaris Sinica, 2014, 35(3): 475-480.]
[6] 许杨, 杨宏青, 陈正洪, 等. 湖北省丘陵山区风能资源特征分析. 长江流域资源与环境, 2014, 23(7): 937-943.[XU Y, YANG H Q, CHEN Z H, et al. Feature analysis on wind energy resources of hills and mountains in Hubei province[J]. Resources and Environment in the Yangtze Basin, 2014, 23(7): 937-943.]
[7] 徐家良, 穆海振. 台风影响下上海近海风场特性的数值模拟分析[J]. 热带气象学报, 2009, 25(3): 281-286.[XU J L, MU H Z. Numerical simulation and analysis of offshore wind field features in Shanghai under the influence of typhoon[J]. Journal of Tropical Meteorology, 2009, 25(3): 281-286.]
[8] 周荣卫, 何晓凤. 海面动力学粗糙度参数化方案对近海风资源评估结果的影响[J]. 自然资源学报, 2015, 30(3): 513-522.[ZHOU R W, HE X F. Influence of different sea surface dynamical roughness parameterization method on wind energy resource assessment in offshore area[J]. Journal of Natural Resources, 2015, 30(3): 513-522.]
[9] 肖仪清, 李利孝, 宋丽莉, 等. 基于近海海面观测的台风黑格比风特性研究[J]. 空气动力学学报, 2012, 30(3): 380-387.[XIAO Y Q, LI L X, SONG L L, et al. Study on wind characteristics of typhoon Hagupit based on offshore sea surface measurements[J]. Acta Aerodynamica Sinica, 2012, 30(3): 380-387.]
[10] 王静静, 刘敏, 权瑞松, 等. 沿海港口自然灾害风险评价[J]. 地理科学, 2012, 32(4): 516-520.[WANG J J, LIU M, QUAN R S, et al. Natural disaster risk assessment of coastal ports in China[J]. Scientia Geographica Sinica, 2012, 32(4): 516-520.]
[11] 史军, 徐家良, 谈建国, 等. 上海地区不同重现期的风速估算研究[J]. 地理科学, 2015, 35(9): 1191-1197.[SHI J, XU J L, TAN J G, et al. Estimation of wind speeds for different recurrence intervals in Shanghai[J]. Scientia Geographica Sinica, 2015, 35(9): 1191-1197.]
[12] 谢萍, 谢忠, 周金莲, 等. 湖北省近50年风灾灾情分布特征分析[J]. 长江流域资源与环境, 2013, 22(S1): 122-126.[XIE P, XIE Z, ZHOU J L, et al. Distributions of wind disasters of Hubei province in recent 50 years[J]. Resources and Environment in the Yangtze Basin, 2013, 22(S1): 122-126.]
[13] 《中国气象灾害大典》编委会. 中国气象灾害大典: 上海卷[M]. 北京: 气象出版社, 2006: 1-222.
[14] 中华人民共和国住房和城乡建设部. GB 50009-2012建筑结构荷载规范[S]. 北京: 中国建筑工业出版社, 2012: 1-246.
[15] 中华人民共和国国家质量监督检验检疫总局. GB/T 18710-2002风电场风能资源评估方法[S]. 北京: 中国标准出版社, 2004: 1-19.[The state Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China. GB/T 18710-2002 Methodology of wind energy resource assessment for wind farm[S]. Beijing: China Standard Publishing House, 2004: 1-19.]
[16] 吴琼, 聂秋生, 周荣卫, 等. 江西省山地风场风能资源储量及特征分析[J]. 自然资源学报, 2013, 28(9): 1605-1614.[WU Q, NIE Q S, ZHOU R W, et al. Analysis of wind energy resources reserves and characteristics in mountain area of Jiangxi province[J]. Journal of Natural Resources, 2013, 28(9): 1605-1614.]
[17] International Electrotechnical Commission (IEC). International standard IEC 61400-1, wind turbines-part 1: design requirements[S]. 3rd ed. Geneva, Switzerland: IEC Central Office, 2005: 1-85.
[18] 王志春, 植石群, 丁凌云. 强台风纳沙(1117)近地层风特性观测分析[J]. 应用气象学报, 2013, 24(5): 595-605.[WANG Z C, ZHI S Q, DING L Y. Observation and analysis on Qiongzhou Strait gales of severe typhoon Neasat (2011)[J]. Journal of Applied Meteorological Science, 2013, 24(5): 595-605.]
[19] 夏波文. 台风"娜基莉"影响下浦东地区近地风特性[J]. 科技视界, 2014(35): 8-9.
[20] 王旭, 黄鹏, 顾明, 等. 台风"米雷"近地层脉动风特性实测研究[J]. 土木工程学报, 2013, 46(7): 28-36.[WANG X, HUANG P, GU M, et al. Field measurement of turbulence characteristics near ground during typhoon ‘Meari'[J]. China Civil Engineering Journal, 2013, 46(7): 28-36.]
No related articles found!
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] ZENG Huiqing. IMPACT OF CLIMATIC VARIATION ON NET PRIMARYPRODUCTIVITY OF NATURAL VEGETATION IN JIANGXI IN RECENT 40 YEARS[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2008, 17(2): 227 .
[2] XU Zu-xin, YE Jian-feng. APPLICATION OF PRETANK TECHNOLOGY IN THE NONPOINT POLLUTION CONTROL OF HEADWATER AREA OF RESERVOIR[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2005, 14(6): 792 -795 .
[3] ZHANG Qingqing,ZHANG Shirong,LITing,ZHANG Lin,LIN Xiaoli,. ON LANDSCAPE PATTERN CHANGES AND THEIR INFLUENCING FACTORS BASED ON KINDS OF DATA—A CASE OF YIDONG SECTION,LIUSHA RIVER[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2006, 15(Sup1): 125 -130 .
[4] HU Da-wei, BIAN Xin-min, XU Quan. DISTRIBUTION AND EVALUATION OF SOIL HEAVY METALS BASED ON ARTIFICIAL NEURAL NETWORKS[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2006, 15(4): 475 -479 .
[5] ZHANG Jie,ZHANG Zhibin,Sun Xinxin. MAIN ENVIRONMENT PROBLEMS IN EXPLOITATION OF MINERAL RESOURCES IN YUNNAN PROVINCE[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2006, 15(Sup1): 61 -65 .
[6] ZHOU Guo-zhong,FENG Hai-xia. RESEARCH ON THE REGIONAL DIFFERENCES OF TOURISM RESOURCES OF ZHEJIANG PROVINCE[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2006, 15(2): 157 -163 .
[7] ,ZOU Xiaobing,ZENG Ting,TRINA MACKIE,XIAO Shangyou,XIA Zhining,,|. CHARACTERISTICS OF PHYTOPLANKTON AND WATER POLLUTION IN LOWER REACHES OF JIALING RIVER IN SPRING[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2008, 17(4): 612 .
[8] LIANG Liutao, QU Futian, WANG Chunhua. ANALYSIS ON CULTIVATED LAND USE EFFICIENCY BASED ON DEA[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2008, 17(2): 242 .
[9] LUO Luqin, ZHOU Jingxuan, LI Xiangmei. CONSTRUCTION AND ANALYSIS OF ECOLOGICAL FOOTPRINT DYNAMIC PREDICTION MODEL[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2008, 17(3): 440 .
[10] LIU Defu, HUANG Yuling, WANG Congfeng, . DEVELOPMENT TREND OF HYDRAULIC ENGINEERING---TRANSFORMATION FROM TRADITIONAL HYDRAULIC ENGINEERING TO ECO-HYDRAULIC ENGINEERING[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2007, 16(1): 92 -96 .
Copyright © RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, All Rights Reserved.
Powered by Beijing Magtech Co. Ltd