Arid Land Geography ›› 2025, Vol. 48 ›› Issue (3): 421-433.doi: 10.12118/j.issn.1000-6060.2024.289
• Climatology and Hydrology • Previous Articles Next Articles
JIA Xiaohong(), SHI Lan(
), HAO Yuzhu
Received:
2024-05-09
Revised:
2024-08-22
Online:
2025-03-25
Published:
2025-03-14
Contact:
SHI Lan
E-mail:jiaxh22@sina.com;lan_shi@sina.com
JIA Xiaohong, SHI Lan, HAO Yuzhu. Wind speed characteristics and wake effect calculation of the wind farm in the central region of Inner Mongolia[J].Arid Land Geography, 2025, 48(3): 421-433.
Tab. 3
Error percentages between wake model and measured wind speeds and corresponding meteorological factor values for the SW and NW wind directions"
风速/m·s-1 | SW风向 | NW风向 | |||||||
---|---|---|---|---|---|---|---|---|---|
误差/% | 气压/kPa | 气温/℃ | 湿度/% | 误差/% | 气压/kPa | 气温/℃ | 湿度/% | ||
4 | 5.27 | 99.41 | 2.81 | 44.88 | 6.07 | 99.64 | 10.34 | 31.94 | |
5 | 5.43 | 99.35 | 1.33 | 45.12 | 2.68 | 99.58 | 8.55 | 34.36 | |
6 | 10.06 | 99.28 | -1.54 | 45.65 | 1.58 | 99.52 | 6.50 | 39.90 | |
7 | 8.52 | 99.30 | -0.37 | 43.95 | 1.72 | 99.52 | 6.46 | 38.85 | |
8 | 8.49 | 99.33 | 0.53 | 44.49 | 1.69 | 99.55 | 7.54 | 36.00 | |
9 | 10.22 | 99.34 | 1.38 | 44.00 | 1.07 | 99.56 | 7.74 | 34.46 | |
10 | 9.76 | 99.39 | 3.17 | 42.54 | 0.46 | 99.56 | 8.32 | 34.21 | |
11 | 10.50 | 99.35 | 2.08 | 41.59 | 1.90 | 99.45 | 4.47 | 36.72 | |
12 | 11.25 | 99.36 | 2.37 | 42.26 | 0.96 | 99.46 | 5.46 | 34.54 | |
13 | 11.18 | 99.43 | 4.92 | 38.08 | 1.57 | 99.49 | 6.35 | 32.60 | |
14 | 10.39 | 99.40 | 4.01 | 37.16 | 1.79 | 99.54 | 8.17 | 30.45 | |
15 | 9.62 | 99.37 | 3.13 | 38.09 | 0.96 | 99.39 | 2.68 | 32.57 | |
16 | 10.76 | 99.40 | 4.30 | 36.98 | 1.19 | 99.38 | 2.79 | 32.26 |
Tab. 4
Error percentages between wake model and measured wind speeds and corresponding meteorological factor values for SE and NE wind directions"
风速/m·s-1 | SE风向 | NE风向 | |||||||
---|---|---|---|---|---|---|---|---|---|
误差/% | 气压/kPa | 气温/℃ | 湿度/% | 误差/% | 气压/kPa | 气温/℃ | 湿度/% | ||
4 | 1.36 | 99.52 | 7.39 | 43.87 | 2.18 | 99.54 | 7.20 | 39.98 | |
5 | 6.77 | 99.55 | 8.63 | 44.09 | 0.89 | 99.54 | 7.47 | 42.00 | |
6 | 5.23 | 99.61 | 10.28 | 43.07 | 2.06 | 99.51 | 6.59 | 41.93 | |
7 | 4.88 | 99.64 | 12.17 | 41.67 | 0.45 | 99.55 | 8.32 | 42.54 | |
8 | 2.35 | 99.71 | 14.48 | 41.32 | 0.37 | 98.43 | 9.49 | 64.79 | |
9 | 1.73 | 99.70 | 14.62 | 37.58 | 2.11 | 99.48 | 5.70 | 42.95 | |
10 | 1.63 | 99.66 | 13.49 | 36.29 | 0.93 | 99.60 | 9.44 | 37.76 | |
11 | 4.64 | 99.64 | 12.66 | 42.96 | 2.14 | 99.64 | 10.99 | 41.75 | |
12 | 5.94 | 99.68 | 13.42 | 38.74 | 1.99 | 99.62 | 10.24 | 57.62 |
[1] | 张立栋, 石强, 姜铁骝, 等. 不同强度湍流风对风力机气动载荷的影响[J]. 分布式能源, 2023, 8(5): 61-68. |
[Zhang Lidong, Shi Qiang, Jiang Tieliu, et al. Influence of turbulent wind of different intensity on aerodynamic load of wind turbine[J]. Distributed Energy, 2023, 8(5): 61-68. ] | |
[2] | 樊振兴, 张云飞, 程更建, 等. 测风激光雷达在智慧风电场的应用进展[J]. 物联网技术, 2024, 14(5): 151-155. |
[Fan Zhenxing, Zhang Yunfei, Cheng Gengjian, et al. Progress in the application of wind measurement lidar in smart wind farms[J]. Internet of Things Technologies, 2024, 14(5): 151-155. ] | |
[3] | 沈铖波. 基于半经验尾流模型的风机布置优化研究[D]. 杭州: 浙江大学, 2022. |
[Shen Chengbo. Research on wind turbine layout optimization based on semi-empirical wake model[D]. Hangzhou: Zhejiang University, 2022. ] | |
[4] | 张晓东, 张梦雨, 白鹤. 基于高斯分布的风电场尾流效应计算模型[J]. 华北电力大学学报, 2017, 44(5): 99-103. |
[Zhang Xiaodong, Zhang Mengyu, Bai He. Wind farm wake effect calculation model based on Gaussian distribution[J]. Journal of North China Electric Power University, 2017, 44(5): 99-103. ] | |
[5] | 田琳琳. 风力机尾流数值模拟及风电场机组布局优化研究[D]. 南京: 南京航空航天大学, 2014. |
[Tian Linlin. Numerical simulation of wind turbine wakes and the study of wind farm layout optimization[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2014. ] | |
[6] | 刘晴晴. 基于尾流效应的风电场三维微观选址研究[D]. 天津: 河北工业大学, 2018. |
[Liu Qingqing. Research on three dimensional site selection of wind farm based on wake effect[D]. Tianjin: Hebei University of Technology, 2018. ] | |
[7] | 李胜, 葛文澎, 吴嘉诚, 等. 风力机组尾流模型适用性评价[J]. 南方能源建设, 2024, 11(1): 42-53. |
[Li Sheng, Ge Wenpeng, Wu Jiacheng, et al. Applicability evaluation of wind turbine wake models[J]. Southern Energy Construction, 2024, 11(1): 42-53. ] | |
[8] | Barthelmie R J, Frandsen S T, Nielsen M N, et al. Modelling and measurements of power losses and turbulence intensity in wind turbine wakes at Middelgrunden offshore wind farm[J]. Wind Energy: An International Journal for Progress and Applications in Wind Power Conversion Technology, 2007, 10(6): 517-528. |
[9] | Archer C L, Vasel-Be-Hagh A, Yan C, et al. Review and evaluation of wake loss models for wind energy applications[J]. Applied Energy, 2018, 226: 1187-1207. |
[10] | 刘南南, 关中杰. Gaussian与GA风电场尾流软测量建模与优化[J]. 中国测试, 2023, 49(6): 107-113. |
[Liu Nannan, Guan Zhongjie. Modeling and optimization of wind farm wake soft sensing based on Gaussian and GA[J]. China Measurement & Test, 2023, 49(6): 107-113. ] | |
[11] | 袁飞, 夏德喜, 汪正军. 基于SCADA数据的风电机组群尾流效应计算与验证研究[J]. 智慧电力, 2023, 51(7): 23-30. |
[Yuan Fei, Xia Dexi, Wang Zhengjun. Calculation and verification of wake effect on wind turbine based on SCADA data[J]. Smart Power, 2023, 51(7): 23-30. ] | |
[12] | 樊小朝, 陈景, 史瑞静, 等. 考虑尾流效应与载荷损耗的风电场优化控制[J]. 水力发电, 2021, 47(10): 89-94, 99. |
[Fan Xiaochao, Chen Jing, Shi Ruijing, et al. Optimal control of wind farm considering wake effect and load loss[J]. Water Power, 2021, 47(10): 89-94, 99. ] | |
[13] | Barthelmie R J, Larsen G C, Frandsen S T, et al. Comparison of wake model simulations with offshore wind turbine wake profiles measured by sodar[J]. Journal of Atmospheric and Oceanic Technology, 2006, 23(7): 888-901. |
[14] | 张镇, 张晓东. 基于半经验公式的风力机尾流模型研究[J]. 现代电力, 2012, 29(2): 64-67. |
[Zhang Zhen, Zhang Xiaodong. Research on the wake model of wind turbine based on semi-empirical formula[J]. Modern Electric Power, 2012, 29(2): 64-67. ] | |
[15] | 李啸吟. 风电机组尾流影响和风电场功率提升研究[D]. 沈阳: 沈阳工业大学, 2022. |
[Li Xiaoyin. Research on influence of wind turbine wake and wind farm power improvement[D]. Shenyang: Shenyang University of Technology, 2022. ] | |
[16] | 朱洁, 匡婵, 赵宜婵. 基于Jensen和Gaussian尾流模型的风电场布局优化的比较[J]. 河南科学, 2021, 39(3): 345-352. |
[Zhu Jie, Kuang Chan, Zhao Yichan. Comparison of wind farm layout optimizations based on Jensen and Gaussian wake models[J]. Henan Science, 2021, 39(3): 345-352. ] | |
[17] | 苏中莹, 袁金库, 李诗峰. 风电场风速分布对机组发电量影响的研究[J]. 数码设计, 2017, 6(7): 102-104. |
[Su Zhongying, Yuan Jinku, Li Shifeng. Study on the influence of wind speed distribution on the generating capacity of the unit[J]. Peak Data Science, 2017, 6(7): 102-104. ] | |
[18] | 杨富程, 韩二红, 王彬滨, 等. 风电场风速概率Weibull分布的参数估计研究[J]. 江西科学, 2019, 37(2): 264-269, 299. |
[Yang Fucheng, Han Erhong, Wang Binbin, et al. Estimation algorithm on the Weibull probabilistic distribution parameters of wind speed in wind farms[J]. Jiangxi Science, 2019, 37(2): 264-269, 299. ] | |
[19] | 黄小佳. 基于机器学习的风能资源评估与风速预测的模型构建及研究[D]. 大连: 东北财经大学, 2021. |
[Huang Xiaojia. Model construction and research of wind energy resource assessment and wind speed prediction based on machine learning[D]. Dalian: Dongbei University of Fiance & Economics, 2021. ] | |
[20] | 黄武枫. 风电场风速概率分布及其拟合模型研究[D]. 南宁: 广西大学, 2021. |
[Huang Wufeng. Research on probability distribution of wind speed in wind farm and its fitting models[D]. Nanning: Guangxi University, 2021. ] | |
[21] |
牛怡莹, 李春兰, 王军, 等. 内蒙古ERA5再分析降水数据性能评估与极端降水时空特征分析[J]. 干旱区地理, 2023, 46(9): 1418-1431.
doi: 10.12118/j.issn.1000-6060.2022.607 |
[Niu Yiying, Li Chunlan, Wang Jun, et al. Performance evaluation of ERA5 reanalysis precipitation data and spatiotemporal characteristics of extreme precipitation in Inner Mongolia[J]. Arid Land Geography, 2023, 46(9): 1418-1431. ]
doi: 10.12118/j.issn.1000-6060.2022.607 |
|
[22] |
肖东升, 王宁, 刘志成. 干旱地区“代表性人口格网数据集”精度研究——以甘宁青地区为例[J]. 干旱区地理, 2023, 46(3): 505-514.
doi: 10.12118/j.issn.1000-6060.2022.351 |
[Xiao Dongsheng, Wang Ning, Liu Zhicheng. Accuracy of “representative population grid dataset” in arid areas: A case of Gansu-Ningxia-Qinghai region[J]. Arid Land Geography, 2023, 46(3): 505-514. ]
doi: 10.12118/j.issn.1000-6060.2022.351 |
|
[23] | 徐栋, 白雪峰, 孙静. 乌兰察布风电基地风能资源特征分析[J]. 西北水电, 2022(1): 87-89. |
[Xu Dong, Bai Xuefeng, Sun Jing. Analysis on the characteristics of wind energy resources in Ulanqab wind power base[J]. Northwest Hydropower, 2022(1): 87-89. ] | |
[24] | 石岚, 徐丽娜, 郝玉珠. 基于风速高相关分区的风电场风速预报订正[J]. 应用气象学报, 2016, 27(4): 506-512. |
[Shi Lan, Xu Lina, Hao Yuzhu. The correction of forecast wind speed in a wind farm based on partitioning of the high correlation of wind speed[J]. Journal of Applied Meteorological Science, 2016, 27(4): 506-512. ] | |
[25] | 章永辉, 楼俊伟, 张鑫, 等. 金华市风能资源分析[J]. 沙漠与绿洲气象, 2023, 17(2): 98-105. |
[Zhang Yonghui, Lou Junwei, Zhang Xin, et al. Analysis of wind energy resource in Jinhua City[J]. Desert and Oasis Meteorology, 2023, 17(2): 98-105. ] | |
[26] | 陈小婷, 李培荣, 冯典, 等. 陕西省风的时空分布及ERA5风资料检验评估[J]. 陕西气象, 2023(3): 23-30. |
[Chen Xiaoting, Li Peirong, Feng Dian, et al. Spatial and temporal distribution of winds in Shaanxi Province and assessment of ERA5 wind data test[J]. Journal of Shaanxi Meteorology, 2023(3): 23-30. ] | |
[27] | 王淼, 曾利华. 风速频率分布模型的研究[J]. 水力发电学报, 2011, 30(6): 204-209. |
[Wang Miao, Zeng Lihua. Study of wind speed frequency distribution model[J]. Journal of Hydroelectric Engineering, 2011, 30(6): 204-209. ] | |
[28] | 梁浩. 风电场风机尾流效应的分析与应用[D]. 成都: 电子科技大学, 2017. |
[Liang Hao. The analysis and application of wind turbine wake effect[D]. Chengdu: University of Electronic Science and Technology of China, 2017. ] | |
[29] | 杜博文. 大气稳定度对风力机尾流演化的影响机理研究[D]. 北京: 华北电力大学, 2022. |
[Du Bowen. Research on the influence mechanism of atmospheric stability on the wind-turbine wakes[D]. Beijing: North China Electric Power University, 2022. ] | |
[30] | 高晓清, 陈伯龙, 杨丽薇, 等. 大气湍流稳定度对风力机尾流影响的模拟研究[J]. 太阳能学报, 2020, 41(4): 145-152. |
[Gao Xiaoqing, Chen Bolong, Yang Liwei, et al. Simulations study of impact of atmospheric turbulence stability on turbine wake[J]. Acta Energiae Solaris Sinica, 2020, 41(4): 145-152. ] | |
[31] | 何仲阳, 宋梦譞, 张兴. 地表温度对风场模拟的影响[J]. 化工学报, 2012, 63(增刊1): 7-11. |
[He Zhongyang, Song Mengxuan, Zhang Xing. Influence of terrain surface temperature on wind farm simulation[J]. CIESC Journal, 2012, 63(Suppl. 1): 7-11. ] | |
[32] | 陆艳艳, 袁建平, 张磊, 等. 1979—2019年内蒙古发电风速变化趋势分析[J]. 科技风, 2021(20): 193-196. |
[Lu Yanyan, Yuan Jianping, Zhang Lei, et al. Trend analysis of wind speed change for power generation in Inner Mongolia from 1979 to 2019[J]. Technological Trend, 2021(20): 193-196. ] |
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