1 引言
2 数据来源与方法介绍
2.1 数据来源
2.2 数据处理
表1 每年5月有效数据占比Table 1 Proportion of valid data in May of each year |
| 年份 | 2006* | 2007* | 2008* | 2009* | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 70 m | 0.97 | 0.96 | 0.95 | 0.96 | 0.86 | 0.92 | 0.92 | 0.92 | 0.93 | ** | 0.97 | 0.92 | ** | 0.90 |
| 50 m | 0.96 | 0.96 | 0.95 | 0.95 | 0.86 | 0.91 | 0.91 | ** | 0.91 | 0.91 | 0.95 | 0.91 | 0.87 | 0.88 |
*标注的年份是风电场建设前; **表示有效数据占比低于0.10 |
2.3 湍流强度计算
3 结果分析与讨论
3.1 湍流强度频率分布
3.1.1 总体情况
图2 70 m湍流强度在不同区间占总数的百分比区间起点为0, 区间间隔为0.04, 共分10个区间, 横坐标给出的是区间的中间值, 黑色竖线为湍流强度值0.08, *号上角标的年份为风电场建设前 Fig.2 Percentage of 70 m-turbulence intensity in different intervals in the total.The starting point is 0, interval is 0.04, divided into 10 intervals, the black vertical line is the turbulence intensity value of 0.08, and the year with superscript * is before the construction of the wind farm |
图3 50 m湍流强度在不同区间占总数的百分比区间起点为0, 区间间隔为0.04, 共分10个区间, 横坐标给出的是区间的中间值, 黑色竖线为湍流强度值0.08, *号上角标的年份为风电场建设前 Fig.3 Percentage of 50 m-turbulence intensity in different intervals in the total.The starting point is 0, interval is 0.04, divided into 10 intervals, the black vertical line is the turbulence intensity value of 0.08, and the year with superscript * is before the construction of the wind farm |
3.1.2 昼、 夜差异
3.2 湍流强度随风速的变化
图5 风电场建设前后夜间各风速段湍流强度灰色填充表示湍流强度在风电场建设前后的差异未通过显著性水平为0.01的差异显著性检验 Fig.5 Box-Whiskers plots of nighttime turbulent intensity in different wind speed ranges before and after the wind farm construction.The shaded bins do not pass the significance test at level 0.01 |
3.3 湍流强度日变化
表2 风电场建设前后各时刻湍流强度的增加程度Table 2 Difference of turbulence intensity before and after wind farm construction |
| 北京时 | 70 m | 50 m | ||||
|---|---|---|---|---|---|---|
| 00:00 | 0.04 | 0.06 | 117% | 0.04 | 0.07 | 93% |
| 01:00 | 0.04 | 0.07 | 114% | 0.03 | 0.06 | 88% |
| 02:00 | 0.04 | 0.06 | 114% | 0.03 | 0.07 | 86% |
| 03:00 | 0.04 | 0.06 | 114% | 0.04 | 0.06 | 90% |
| 04:00 | 0.04 | 0.06 | 108% | 0.03 | 0.06 | 81% |
| 05:00 | 0.04 | 0.05 | 110% | 0.03 | 0.06 | 83% |
| 06:00 | 0.03 | 0.05 | 90% | 0.03 | 0.06 | 67% |
| 07:00 | 0.02 | 0.05 | 44% | 0.03 | 0.05 | 39% |
| 08:00 | 0.02 | 0.05 | 30% | 0.03 | 0.06 | 34% |
| 09:00 | 0.02 | 0.06 | 30% | 0.03 | 0.08 | 36% |
| 10:00 | 0.02 | 0.07 | 30% | 0.03 | 0.09 | 35% |
| 11:00 | 0.02 | 0.09 | 32% | 0.03 | 0.11 | 36% |
| 12:00 | 0.02 | 0.10 | 26% | 0.03 | 0.12 | 35% |
| 13:00 | 0.02 | 0.10 | 31% | 0.03 | 0.12 | 38% |
| 14:00 | 0.01 | 0.10 | 25% | 0.02 | 0.13 | 33% |
| 15:00 | 0.01 | 0.11 | 23% | 0.01 | 0.13 | 30% |
| 16:00 | 0.02 | 0.09 | 33% | 0.02 | 0.11 | 36% |
| 17:00 | 0.02 | 0.08 | 32% | 0.02 | 0.09 | 34% |
| 18:00 | 0.02 | 0.07 | 40% | 0.02 | 0.08 | 34% |
| 19:00 | 0.03 | 0.08 | 80% | 0.03 | 0.08 | 60% |
| 20:00 | 0.04 | 0.07 | 104% | 0.03 | 0.07 | 74% |
| 21:00 | 0.04 | 0.07 | 113% | 0.04 | 0.06 | 87% |
| 22:00 | 0.04 | 0.07 | 121% | 0.03 | 0.07 | 92% |
| 23:00 | 0.04 | 0.07 | 110% | 0.03 | 0.07 | 88% |
; 为 的标准差; n为个数 |