Research on Distribution Differences of Wind Shear and Comparison of Wind Turbine Hub Height Plans

Haipeng MA; Huisen LIANG; Fang WANG; Hao WANG; Xinyi DU; Bin ZHAO

doi:10.16513/j.2096-2185.DE.2409509

TSINGHUA JOURNALS HOME

Source Journal for Chinese Scientific and Technical Papers and Citations

RCCSE Chinese Core Academic Journals

Classification Catalogue of High Quality Scientific Journals in the field of Energy and Power

Classification Catalogue of High Quality Scientific Journals in Coal Field

PDF(6130 KB)

Distributed Energy ›› 2024, Vol. 9 ›› Issue (5) : 76-84. DOI: 10.16513/j.2096-2185.DE.2409509

Application Technology

Research on Distribution Differences of Wind Shear and Comparison of Wind Turbine Hub Height Plans

Haipeng MA ¹ ,
Huisen LIANG ¹ ,
Fang WANG ¹ ,
Hao WANG ¹ ,
Xinyi DU ¹ ,
Bin ZHAO ²

Author information +

History +

Abstract

Taking a 200 MW wind power project in Heilongjiang as an example, the differences in wind shear distribution in different regions are studied. The accuracy of wind measurement data is verified through laser radar, and the terrain and landforms of the project are surveyed on-site. The fitting rules of wind shear are analyzed and compared under the conditions of data duration less than one year and after one year. Based on the differences in wind shear distribution, three schemes with different hub heights for the same type are proposed for economic comparison. The results show that the mixed arrangement of high and low towers combined with wind shear has the lowest levelized cost of energy. The study on the difference in wind shear distribution provides a theoretical basis for exploring the economically optimal hub height scheme, and the research results can provide a certain reference for the analysis and demonstration of large-scale wind power projects, as well as the selection of wind turbine schemes.

Key words

wind shear / wind turbine set / hub height / levelized cost of energy / total return on investment

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Haipeng MA , Huisen LIANG , Fang WANG , et al . Research on Distribution Differences of Wind Shear and Comparison of Wind Turbine Hub Height Plans[J]. Distributed Energy Resources. 2024, 9(5): 76-84 https://doi.org/10.16513/j.2096-2185.DE.2409509

References

List( Publishing order | Descend order by publishing year | Descend order by cited within ) Chart analysis

[1]	PASQUILL F. Atmospheric diffusion[M]. Chichester, England: Ellis Horwood Ltd. 1974. Cited in this article [1]

[2]	徐宝清，吴婷婷，李文慧. 风能风切变指数计算方法的比选研究[J]. 农业工程学报，2014, 30(16) : 188-194. XU Baoqing, WU Tingting, LI Wenhui. Screening of calculation methods for wind shear exponent[J]. Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(16): 188-194. Cited in this article [1]

[3]	刘志超，王洪彬，沙浩，等. 我国风电利用技术现状及其前景分析[J]. 发电技术，2019, 40(4): 390-395. LIU Zhichao, WANG Hongbin, SHA Hao, et al. Status and prospects analysis of wind power utilization technology in China[J]. Power Generation Technology, 2019, 40(4): 390-395. Cited in this article [1]

[4]	樊昂，李录平，张世海，等. 大型风电机组塔筒动力学特性与寿命损耗研究进展[J]. 发电技术，2022, 43(3): 421-430. FAN Ang, LI Luping, ZHANG Shihai, et al. A review on dynamic characteristics and life loss of large wind turbine towers[J]. Power Generation Technology, 2022, 43(3): 421-430. Cited in this article [1]

[5]	李泽椿，朱蓉，何晓凤，等. 风能资源评估技术方法研究[J[J]. 气象学报，2007, 65(5): 708-717. LI Zechun, ZHU Rong, HE Xiaofeng, et al. Study on the assessment technology of wind energy resource[J]. Acta Meteorological Sinica, 2007, 65(5): 708-717. Cited in this article [1]

[6]	刘玮，胡己坤，潘航平，等. 沿海地带大气热稳定性判定模型及其在风切变的应用研究[J]. 可再生能源，2019, 37(6): 914-920. LIU Wei, HU Jikun, PAN Hangping, et al. Study on atmospheric thermal stability determination model and its application in wind shear[J]. Renewable Energy Resources, 2019, 37(6): 914-920. Cited in this article [1]

[7]	GUALTIERI G. Atmospheric stability varying wind shear coefficients to improve wind resource extrapolation: A temporal analysis[J]. Renewable Energy, 2016, 87: 376-390. Cited in this article [1]

[8]	杜燕军，冯长青. 风切变指数在风电场风资源评估中的应用[J]. 电网与清洁能源，2010, 26(5): 62-66. DU Yanjun, FENG Changqing. Application of wind shear index in the assessment of wind resources of wind farm[J]. Power System and Clean Energy, 2010, 26(5): 62-66. Cited in this article [1]

[9]	彭怀午，冯长青，包紫光. 风资源评价中风切变指数的研究[J]. 可再生能源，2010, 28(1): 21-23, 28. PENG Huaiwu, FENG Changqing, BAO Ziguang. Study on the wind shear exponent for wind resource assessment [J]. Renewable Energy Resources, 2010, 28(1): 21-23, 28. Cited in this article [1]

[10]	徐红，龚强，朱玲，等. 基于不同时间尺度风切变指数推算风资源的对比分析[J]. 气象与环境学报，2022, 38(5): 106-112. XU Hong, GONG Qiang, ZHU Ling, et al. Comparisons of wind resources based on wind shear indices at various temporal scales[J]. Journal of Meteorology and Environment, 2022, 38(5): 106-112. Cited in this article [1]

[11]	李鸿秀. 中国风切变指数时空变化分析[D]. 兰州：兰州大学，2016. LI Hongxiu. Analysis of the temporal and spatial variation of wind shear index in China[D]. Lanzhou: Lanzhou University, 2016. Cited in this article [1]

[12]	朱金阳，丁伟. 平坦地形风剪切特性的研究[J]. 太阳能学报，2023, 44(2): 167-171. ZHU Jinyang, DING Wei. Research on wind shear characteristics in flat topography[J]. Acta Energiae Solaris Sinica, 2023, 44(2): 167-171. Cited in this article [1]

[13]	李小兵，王潇. 我国风能资源评估的主要问题及原因分析[J]. 风能，2019(1): 53-60. LI Xiaobing, WANG Xiao. The main problems and reasons analysis of wind energy resource assessment in China[J]. Wind Energy, 2019 (1): 53-60. Cited in this article [1]

[14]	朱蓉，王阳，向洋，等. 中国风能资源气候特征和开发潜力研究[J]. 太阳能学报，2021, 42(6): 409-418. ZHU Rong, WANG Yang, XIANG Yang, et al. Study on climate characteristics and development potential of wind energy resources in China[J]. Acta Energiae Solaris Sinica, 2021, 42(6): 409-418. Cited in this article [1]

[15]	朱蓉，向洋，孙朝阳，等. 中国典型复杂地形风能资源特性及其形成机制[J]. 太阳能学报，2024, 45(4): 226-237. ZHU Rong, XIANG Yang, SUN Chaoyang, et al. Characteristics and formation mechanism of wind energy resources in typical complex terrain in China[J]. Acta Energiae Solaris Sinica, 2024, 45(4): 226-237. Cited in this article [1]

[16]	傅军，李洁，吴强. 激光测风雷达在风场观测领域的应用及展望[J]. 空气动力学学报，2021, 39(4): 172-179. FU Jun, LI Jie, WU Qiang. Application and prospect of dopplar lidar in the wind field observation[J]. Acta Aero-dynamica Sinica, 2021, 39(4): 172-179. Cited in this article [1]

[17]	顾桃峰，岳海燕，王四化，等. 一种基于多普勒原理的相干测风激光雷达及其外场应用[J]. 大气与环境光学学报，2024, 19(1): 22-37. GU Taofeng, YUE Haiyan, WANG Sihua, et al. A coherent wind lidar based on doppler principle and its field application[J]. Journal of Atmospheric and Environmental Optics, 2024, 19(1): 22-37. Cited in this article [1]

[18]	马海鹏，王浩，梁会森，等. 风切变对风电机组轮毂高度选择的影响关系研究[J]. 风机技术，2023, 65(2): 7-12. MA Haipeng, WANG Hao, LIANG Huisen, et al. The influence relation of wind shear on the height selection of wind turbine hub[J]. Chinese Journal of Turbomachinery, 2023, 65(2): 7-12. Cited in this article [1]

[19]	李斌. 风电场精细化微观选址技术的创新应用[J]. 分布式能源，2018, 3(5): 59-64. LI Bin. Innovative application of refined microcosmic site selection of wind farm[J]. Distributed Energy, 2018, 3(5): 59-64. Cited in this article [1]

[20]	李斌. 风电项目精细化开发技术要点[J]. 分布式能源，2019, 4(4): 63-67. LI Bin. Key points of fine development technology for wind power projects[J]. Distributed Energy, 2019, 4(4): 63-67. Cited in this article [1]

[21]	董文博，顾秀芳，陈艳宁. 风电并网价值分析[J]. 发电技术，2020, 41(3): 320-327. DONG Wenbo, GU Xiufang, CHEN Yanning. Value analysis of wind power grid connection[J]. Power Generation Technology, 2020, 41(3): 320-327. Cited in this article [1]

[22]	万春秋，王峻，杨耕，等. 基于威布尔分布的风电场微观选址优化[J]. 太阳能学报，2011, 32(7): 999-1004. WAN Chunqiu, WANG Jun, YANG Geng, et al. Optimal micro-sting of wind farm based on weibull distribution[J]. Acta Energiae Solaris Sinica, 2011, 32(7): 999-1004. Cited in this article [1]

[23]	王正明，路正南. 风电项目投资及其运行的经济性分析[J]. 可再生能源，2008, 26(6): 21-24. WANG Zhengming, LU Zhengnan. The economic analysis on the investment and operation of the wind power project[J]. Renewable Energy Resources, 2008, 26(6): 21-24. Cited in this article [1]