|
摘要:
|
| 基于漂浮式激光雷达实测数据,对辽宁省丹东某海域再分析数据集的100 m单层风场数据开展比对评估。结果表明:ERA5数据 100 m 高度的风速和风向产品与实测数据整体相关性较好。非降水时段的数据准确性优于降水时段,偏北风方向风场数据的准确性优于偏南风方向风场数据。不同等级风速条件下,ERA5数据集在低风力等级下的误差相对较大,中高风力等级下的精度相对较高;且风速数据产品在中高风力等级下普遍存在低估实际风速的现象。风向数据产品在各风速等级下均与实际风向存在偏差,偏离幅度大多在0°~20°之间。不同风向条件下,降水时段偏西南风方向的风速产品偏差较大,其余风向条件下的风速偏差较为稳定;非降水时段ERA5数据集在各风向上的精度明显优于降水时段,但该数据集对偏东风向的反演精度始终较低。 |
| In this paper, the floating LiDAR measured data is used to evaluate the reanalyzed single-layer 100 m wind field data in an offshore area of Dandong, Liaoning Province. The results show that the overall correlation of the 100 m wind field between the ERA5 data and the measured data is good. The accuracy during nonprecipitation periods is better than that during precipitation periods, and the accuracy of winds in the northerly direction is better than that in the southerly direction. Under different wind speed conditions, ERA5 has a higher error at low wind speed levels, while the accuracy is relatively higher at medium and high wind speed levels. The wind speed data generally underestimates the actual wind speed at medium and high wind speed levels, while consistently exhibits deviations from the observed wind directions across different wind speed levels, with most deviations falling within the range of 0° to 20° . Under different wind direction conditions, the wind speed deviation during precipitation is relatively larger for winds in the southwesterly azimuthal direction, otherwise relatively stable; the wind direction accuracy in all wind directions during the non-precipitation period is significantly better than that during the precipitation period, but consistently lower for winds in the easterly azimuthal direction. |
|
参考文献:
|
[1] 关伟, 卢岩. 国内外风力发电概况及发展方向[J]. 吉林电力, 2008, 36(1): 47-50. GUAN W, LU Y. Status and development trend of wind power generation at home and abroad[J]. Jilin Electric Power, 2008, 36(1): 47-50. [2] 李泽椿, 朱蓉, 何晓凤, 等. 风能资源评估技术方法研究[J]. 气象学报, 2007, 65(5): 708-717. LI Z C, ZHU R, HE X F, et al. Study on the assessment technology of wind energy resource[J]. Acta Meteorologica Sinica, 2007, 65(5): 708-717. [3] 李军军, 吴政球, 谭勋琼, 等. 风力发电及其技术发展综述[J]. 电力建设, 2011, 32(8): 64-72. LI J J, WU Z Q, TAN X Q, et al. Review of wind power generation and relative technology development[J]. Electric Power Construction, 2011, 32(8): 64-72. [4] 刘波, 贺志佳, 金昊. 风力发电现状与发展趋势[J]. 东北电力大学学报, 2016, 36(2): 7-13. LIU B, HE Z J, JIN H. Wind power status and development trends [J]. Journal of Northeast Electric Power University, 2016, 36(2): 7-13. [5] 王月普. 风力发电现状与发展趋势分析[J]. 电力设备管理, 2020(11): 21-22. WANG Y P. Analysis of current situation and development trend of wind power generation[J]. Electric Power Equipment Management, 2020(11): 21-22. [6] Latest Study -China Wind Power Generation Market Size, Growth Prospects To 2018[J]. M2 Presswire, 2015. [7] 申宽育. 中国的风能资源与风力发电[J]. 西北水电, 2010(1): 76-81. SHEN K Y. Wind energy resources and wind power generation in China[J]. Northwest Hydropower, 2010(1): 76-81. [8] 曹文胜. 海上风力发电及其技术发展综述[J]. 能源与环境, 2012(5): 56-57. CAO W S. Overview of offshore wind power generation and its technical development[J]. Energy and Environment, 2012(5): 56-57. [9] 刘林, 葛旭波, 张义斌, 等. 我国海上风电发展现状及分析[J]. 能源技术经济, 2012, 24(3): 66-72. LIU L, GE X B, ZHANG Y B, et al. Analysis on status Quo of China's offshore wind power development[J]. Energy Technology and Economics, 2012, 24(3): 66-72. [10] 崔东岭, 摆念宗. 海上风电与陆上风电差异性分析(上)[J]. 风能, 2019(5): 72-76. CUI D L, BAI N Z. Comparative analysis of offshore and onshore wind power (part 1)[J]. Wind Energy, 2019(5): 72-76. [11] 辛华龙. 中国海上风能开发研究展望[J]. 中国海洋大学学报, 2010, 40(6): 147-152. XIN H L. Aspect on the development of offshore wind energy in China[J]. Periodical of Ocean University of China, 2010, 40(6): 147-152. [12] 李晓燕, 余志. 海上风力发电进展[J]. 太阳能学报, 2004, 25(1): 78-84. LI X Y, YU Z. Developments of offshore wind power[J]. Acta Energiae Solaris Sinica, 2004, 25(1): 78-84. [13] 贺德馨. 风能技术可持续发展综述[J]. 电力设备, 2008, 9(11): 4-8. HE D X. Summary about sustainable development of wind energy technology[J]. Electrical Equipment, 2008, 9(11): 4-8. [14] 李艳, 成培培, 路屹雄, 等. 典型复杂地形风能预报的精细化研究[J]. 高原气象, 2015, 34(2): 413-425. LI Y, CHENG P P, LU Y X, et al. Wind power forecasting over the typical complex terrains[J]. Plateau Meteorology, 2015, 34(2): 413-425. [15] 李福东, 曾旭华, 魏梅芳, 等. 基于聚类分析和混合自适应进化算法的短期风电功率预测[J]. 电力系统保护与控制, 2020, 48(22): 151-158. LI F D, ZENG X H, WEI M F, et al. Short-term wind power forecasting based on cluster analysis and a hybrid evolutionaryadaptive methodology[J]. Power System Protection and Control, 2020, 48(22): 151-158. [16] 何健伟, 曹渝昆. LSTM-RF的中长期风电功率组合预测方法[J]. 上海电力大学学报, 2020, 36(4): 341-350. HE J W, CAO Y K. Wind power mid-long term load forecasting based on LSTM-RF combination forecasting method[J]. Journal of Shanghai University of Electric Power, 2020, 36(4): 341-350. [17] 黄小祥, 陶英佳, 官明开. 海上风电漂浮式激光雷达测风发展研究[J]. 中国水运, 2019, 19(10): 57-58. HUANG X X, TAO Y J, GUAN M K. Research on the development of floating LIDAR for offshore wind power measurement[J]. China Water Transport, 2019, 19(10): 57-58. [18] 罗江珊, 杨凡, 毕玮, 等. EC细网格10 m风场产品在青岛港区的预报检验和随机森林订正[J]. 海洋预报, 2024, 41(3): 110-119. LUO J S, YANG F, BI W, et al. Verification and random forest correction of the EC fine-grid model 10 m wind in Qingdao Port [J]. Marine Forecasts, 2024, 41(3): 110-119. [19] HERSBACH H, BELL B, BERRISFORD P, et al. The ERA5 global reanalysis[J]. Quarterly Journal of the Royal Meteorological Society, 2020, 146(730): 1999-2049. [20] GUALTIERI G. Reliability of ERA5 reanalysis data for wind resource assessment: a comparison against tall towers[J]. Energies, 2021, 14(14): 4169. [21] POTISOMPORN P, ADCOCK T A A, ADCOCK C R. C V. Evaluating ERA5 reanalysis predictions of low wind speed events around the UK[J]. Energy Reports, 2023, 10: 4781-4790. [22] 孙虹雨, 王迪, 刘成瀚, 等. ERA5再分析资料在辽宁省的适用性分析与订正[J]. 沙漠与绿洲气象, 2023, 17(4): 101-110. SUN H Y, WANG D, LIU C H, et al. Applicability analysis and revision of ERA5 reanalysis data in Liaoning Province[J]. Desert and Oasis Meteorology, 2023, 17(4): 101-110. [23] 孟宪贵, 郭俊建, 韩永清. ERA5再分析数据适用性初步评估[J]. 海洋气象学报, 2018, 38(1): 91-99. MENG X G, GUO J J, HAN Y Q. Preliminarily assessment of ERA5 reanalysis data[J]. Journal of Marine Meteorology, 2018, 38(1): 91-99. [24] 黄穗, 蔡彦枫, 王俊, 等. 海面风场资料在广东省阳江海上风电场区域的适用性[J]. 南方能源建设, 2024, 11(6): 111-123. HUANG S, CAI Y F, WANG J, et al. Applicability analysis of sea surface wind field data for Yangjiang Offshore wind farm in Guangdong Province[J]. Southern Energy Construction, 2024, 11(6): 111-123. [25] 耿姗姗, 韩春花, 徐珊珊, 等. ERA5海面气压和风速再分析资料在渤海和北黄海适用性分析[J]. 海洋通报, 2023, 42(2): 159-168. GENG S S, HAN C H, XU S S, et al. Applicability analysis of the sea surface pressure and wind speed of ERA5 reanalysis data in the Bohai Sea and the northern Huanghai Sea[J]. Marine Science Bulletin, 2023, 42(2): 159-168. [26] 林晓娟, 李响, 刘晓燕, 等. EC预报数据在中国近海的适用性研究[J]. 海洋预报, 2023, 40(6): 51-66. LIN X Y, LI X, LIU X Y, et al. Applicability of EC forecast data in China's offshore waters[J]. Marine Forecasts, 2023, 40(6): 51-66. [27] 杜梦蛟, 邓浩, 文仁强, 等. 大气再分析资料在中国近海的风资源特征和适用性分析[J]. 气候与环境研究, 2023, 28(5): 483-494. DU M J, DENG H, WEN R Q, et al. Wind resource characteristics and applicability of atmospheric reanalysis data in offshore China[J]. Climatic and Environmental Research, 2023, 28(5): 483-494. [28] 李爱莲, 刘泽, 洪新, 等. 台风条件下ERA5再分析数据对中国近海适用性评估[J]. 海洋科学, 2021, 45(10): 71-80. LI A L, LIU Z, HONG X, et al. Applicability of the ERA5 reanalysis data to China adjacent sea under typhoon condition[J]. Marine Sciences, 2021, 45(10): 71-80. [29] 易侃, 李肖雅, 朱碧泓, 等. 基于漂浮式测风激光雷达观测数据的海上预报风速订正[J]. 热带气象学报, 2024, 40(2): 226-236. YI K, LI X Y, ZHU B H, et al. Correction of offshore forecast wind speed based on floating LiDAR observation data[J]. Journal of Tropical Meteorology, 2024, 40(2): 226-236. [30] 王浩, 易侃, 杜梦蛟, 等. 漂浮式激光雷达海上测风可靠性及影响因素研究[J]. 海洋预报, 2022, 39(5): 70-83. WANG H, YI K, DU M J, et al. Study on the reliability and influencing factors using floating lidar systems for offshore wind measurement[J]. Marine Forecasts, 2022, 39(5): 70-83. [31] 姚若军, 颜伟, 王从保, 等. 海上风电测风方式比较及数据浅析[J]. 红水河, 2022, 41(4): 68-73. YAO R J, YAN W, WANG C B, et al. Comparison and data analysis of wind measurement methods for offshore wind power [J]. Hongshui River, 2022, 41(4): 68-73. [32] WOLKEN-MÖHLMANN G, BISCHOFF O, GOTTSCHALL J. Analysis of wind speed deviations between floating lidars, fixed lidar and cup anemometry based on experimental data[J]. Journal of Physics: Conference Series, 2022, 2362(1): 012042. [33] GOTTSCHALL J, WOLKEN-MÖHLMANN G, VIERGUTZ T, et al. Results and conclusions of a floating-lidar offshore test[J]. Energy Procedia, 2014, 53: 156-161. |
|
服务与反馈:
|
|
【文章下载】【发表评论】【查看评论】【加入收藏】
|
|
|