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基于风速和风向序列的风资源中微尺度耦合评估模型

A Meso/Micro-scale Coupled Evaluation Model for Wind Resources Based on Wind Speed and Direction Sequences

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为了准确分析和评估风能资源,为风电项目提供可靠帮助,提出一种基于风速和风向序列的风资源中微尺度耦合评估模型.通过收集和处理风速和风向数据,进行风电场气象参数模拟,模拟风速和风向的变化情况,为风能资源评估提供可靠的数据支持.基于风电场气象参数模拟结果,构建中尺度模型,并将流体力学模型与数字高程模型、植被数据和气象参数结合,对复杂地形条件下的风电场进行三维流动模拟.将中尺度数值模型中得到的风流数据与高分辨率的微观模型相结合,使用相关性订正法对中尺度数据进行修正,以提高风能评估结果的可靠性.工程案例结果表明,该方法下模拟点计算得到的风速与测风塔的风速的差距较小,中微尺度耦合下模拟数据与实测测风塔数据的相关性更高,且该方法的相关系数更接近1,说明其评估结果精度更高,更可靠.
In order to accurately analyze and evaluate wind energy resources and provide reliable assistance for wind power projects,a meso/micro-scale coupled evaluation model for wind resources based on wind speed and direction sequence is proposed.By collecting and processing wind speed and direction data,simulating wind farm meteorological parameters,simulating changes in wind speed and direction,reliable data support for wind energy resource assessment are provided. Based on the simulation results of wind field meteorological parameters,a meso/micro-scale model is constructed,and the fluid dynamics model is combined with digital elevation model,vegetation data,and meteorological parameters to simulate the three-dimensional flow of wind field under complex terrain conditions.By combining the wind flow data obtained from the mesoscale numerical model with the high-resolution microscale model,and using correlation correction method to modify the mesoscale data,the reliability of wind energy assessment results is improved.The engineering case results show that the difference between the wind speed calculated at the simulation point and the wind speed of the wind tower under the method proposed in this paper is relatively small.The correlation between the simulation data and the measured wind tower data is higher under the coupling of meso-and micro-scales,and the correlation coefficient of this method is closer to 1,indicating more accurate and reliable evaluation results.

wind speedwind direction sequencemeso/micro-scaledigital elevation modelfluid mechanics modelturbulence model

李超、马俊鹏、王凯冉、肖成刚

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中电建新能源集团有限公司宁夏分公司,宁夏 银川 750002

宁夏回族自治区电力设计院有限公司,宁夏 银川 750011

风速 风向序列 中微尺度 数字高程模型 流体力学模型 湍流模型

2024

电工技术
重庆西南信息有限公司(原科技部西南信息中心)

电工技术

影响因子:0.177
ISSN:1002-1388
年,卷(期):2024.(16)