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基于优化CFD模型的风电场风速数值模拟 被引量:2
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作者 马致远 孙凯丰 +3 位作者 侯金锁 于殿富 汪濙海 高乐 《可再生能源》 CAS 北大核心 2018年第3期446-452,共7页
为了提高风资源普查的精度,更好地针对我国地形及风况,文章优化了现有风资源计算流体力学模型,并编写了相应计算模块。优化模型包括:(1)贴合复杂山地地形的网格化分器,可以对任意地形进行网格划分;(2)通过分析测风数据自动计算湍流模型... 为了提高风资源普查的精度,更好地针对我国地形及风况,文章优化了现有风资源计算流体力学模型,并编写了相应计算模块。优化模型包括:(1)贴合复杂山地地形的网格化分器,可以对任意地形进行网格划分;(2)通过分析测风数据自动计算湍流模型系数;(3)增加温度运输方程,将大气边界层热稳定度耦合到动量方程和湍流模型中;(4)与实际大气边界层热稳定度分层效应一致的入口条件及壁面函数。为了验证优化后的风资源计算方法的精度,文章对一待开发风电场进行了风资源计算。计算结果显示,使用优化的模块可以更精确地计算风速,与优化前相比,可以将误差至少降低10%。 展开更多
关键词 风电场开发 风资源数值计算 大气边界层稳定度 湍流模型
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街道峡谷对近地层风场影响的观测和模拟分析 被引量:6
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作者 张凯 赵天良 +4 位作者 曹乐 胡小明 郑小波 杨清健 于超 《环境科学学报》 CAS CSCD 北大核心 2019年第12期4187-4195,共9页
城市街道峡谷结构对近地面边界层的风场环流等气象要素具有重要影响,可导致城市局地空气污染分布发生变化.随着城市化发展及城市空气质量变化,街道峡谷的城市空气污染影响日益突出,分析街道峡谷内部风场成为认识和治理我国城市空气污染... 城市街道峡谷结构对近地面边界层的风场环流等气象要素具有重要影响,可导致城市局地空气污染分布发生变化.随着城市化发展及城市空气质量变化,街道峡谷的城市空气污染影响日益突出,分析街道峡谷内部风场成为认识和治理我国城市空气污染的一条重要途径.鉴于目前我国鲜有城市街道尺度大气边界层精细气象观测研究,本文分析了美国俄克拉荷马大学的街道峡谷精细气象观测数据及其FLUENT模拟.结果表明:街道峡谷内风场结构变化依赖大气背景风向,当背景风向平行于街道峡谷走向时,街谷两岸风速几乎没有差异,而在背景风向垂直于街道峡谷走向时,由于高空风进入街谷形成的涡旋气流对街道峡谷风场有补充作用,峡谷两侧中层高度风场差异变大,风速差值大约为0.5 m·s^-1,且街道峡谷两岸风速差异得到了FLUENT模式的验证,但模式对迎风岸的风速模拟存在高估,模拟的中层高度处两岸风速差值为1.6 m·s^-1.观测资料分析揭示大气边界层稳定度条件对街道峡谷内风场分布也有很大影响,中性稳定条件下街道峡谷两岸近地层风速差异最大,输送进入峡谷空间的风速增量比原峡谷内风速大约高1倍,其它稳定度条件下街谷两岸风速差异被削弱. 展开更多
关键词 街道峡谷 近地层风场 FLUENT 大气边界层稳定度
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The vertical distribution characteristics of integral turbulence statistics in the atmospheric boundary layer over an urban area in Beijing 被引量:7
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作者 LIU Yang LIU HuiZhi WANG Lei 《Science China Earth Sciences》 SCIE EI CAS CSCD 2017年第8期1533-1545,共13页
Turbulence data(2008–2012) from a 325 m meteorological tower in Beijing, which consisted of three layers(47,140, and 280 m), was used to analyze the vertical distribution characteristics of turbulent transfer over Be... Turbulence data(2008–2012) from a 325 m meteorological tower in Beijing, which consisted of three layers(47,140, and 280 m), was used to analyze the vertical distribution characteristics of turbulent transfer over Beijing city according to similarity theory. The conclusions were as follows.(1) Normalized standard deviations of wind speeds/ui * were plotted as a function only of a local stability parameter. The values under near-neutral conditions were 2.15, 1.61, and 1.19 at 47 m, 2.39, 1.75,and 1.21 at 140 m, and 2.51, 1.77, and 1.30 at 280 m, showing a clear increase with height. The normalized standard deviation of wind components fitted the 1/3 law under unstable stratification conditions and decreased with height under both stable and unstable conditions.(2) The normalized standard deviation of temperature fitted the.1/3 law in the free convection limit, but was quite scattered with different characteristics under near-neutral conditions. The normalized standard deviations of humidity and the CO2 concentration fitted the.1/3 law under unstable conditions, and remained constant under near-neutral and stable stratification. The normalized standard deviation of scalars, i.e., temperature, humidity, and CO2 concentration, all increased with height.(3) Compared with momentum, and the water vapor and CO2 concentrations, the turbulence correlation coefficient for heat was smaller under near-neutral conditions, but larger under both stable and unstable conditions. A dissimilarity between heat, and the water vapor and CO2 concentrations was observed in urban areas. The relative correlation coefficients between heat and each of momentum, humidity, and CO2 concentration(|rwT/ruw|, |rwT/rwc| and |rwT/ruq|) in the lower layers were always larger than in higher layers, except for the relative correlation coefficient between heat and humidity in an unstable stratification. Therefore, the ratio between heat and each of momentum, humidity, and CO2 concentration decreased with height. 展开更多
关键词 Urban boundary layer Local similarity theory Integral turbulence statistics
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