大型风机高度内台风边界层风特性与CFD数值模拟研究
结题报告
批准号:
42005144
项目类别:
青年科学基金项目
资助金额:
24.0 万元
负责人:
李田田
学科分类:
应用气象学
结题年份:
2023
批准年份:
2020
项目状态:
已结题
项目参与者:
李田田
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中文摘要
近年来风电产业不断向近海延伸,风电机组向大型化发展,叶尖高度已超过200米。但现行风电机组气象风险设计的依据是基于常通量假设的近地面层湍流相似理论,它仅适用于离地100米左右高度,导致大型风电机组风险设计缺乏理论依据,风电安全生产存在隐患。针对目前对于大型风电机组高度内(300米)台风边界层风及湍流特性缺乏认识的问题,本项目拟首先基于深圳国家观象台356米铁塔观测、大型风电机组轮毂高度处测风、激光雷达、风廓线雷达以及GPS探空等实测数据揭示300米高度内台风边界层风及湍流特性,并结合湍流相似理论和谱相似性建立相应数学描述。其次,利用实测数据对中尺度台风模式模拟结果进行修正,建立由中尺度模式到计算流体力学(CFD)模式高精度边界条件。最后,基于CFD技术,模拟和分析水平分辨率为几十米量级的典型地形下风电场尺度台风边界层风场特性,并通过风电场实测数据和台风强化观测数据进行验证。
英文摘要
In recent years, wind power plants have been spreading out to coastal regions and wind turbines have been increasing in size and height, with the blade tip exceeding 200 m. However, current meteorological risk analysis of wind turbine is still based on the similarity theory of turbulence, which is only applicable within the ‘constant flux’ layer (around 100 m) and cannot meet the needs of big wind turbines, causing potential safety issues to wind turbine design and construction. To tackle this problem, in-situ wind measurements will be analyzed first to understand turbulent wind characteristics of typhoon boundary layer within 300 m, including data from 356-m-high met-mast in Shenzhen, wind measurements at hub height of big wind turbines, Doppler wind lidar, wind profile radar, GPS sonde, etc. Corresponding mathematical expressions will also be developed on the basis of the similarity theory of turbulence and spectrum. Then, in-situ wind measurements will be used to update mesoscale models for more accurate outputs, leading to high-fidelity boundary conditions used to drive the microscale computational fluid dynamics (CFD) models. Finally, CFD simulations of plant-scale typhoon wind field, with horizontal resolution of tens of meters under typical terrains, will be conducted and verified by in-situ measurements from wind power plants and typhoons.
期刊论文列表
专著列表
科研奖励列表
会议论文列表
专利列表
Correction of various environmental influences on Doppler wind lidar based on multiple linear regression model
基于多元线性回归模型修正各种环境对多普勒测风激光雷达的影响
DOI:10.1016/j.renene.2021.12.018
发表时间:2022-01-01
期刊:RENEWABLE ENERGY
影响因子:8.7
作者:Tang, Shengming;Li, Tiantian;Qu, Hongya
通讯作者:Qu, Hongya
DOI:10.3390/su15054635
发表时间:2023-03
期刊:Sustainability
影响因子:3.9
作者:Tiantian Li;H. Qu;Yi Zhao;R. Honerkamp;G. Yan;A. Chowdhury;I. Zisis
通讯作者:Tiantian Li;H. Qu;Yi Zhao;R. Honerkamp;G. Yan;A. Chowdhury;I. Zisis
DOI:10.3389/feart.2022.1058734
发表时间:2023-01
期刊:
影响因子:--
作者:Tiantian Li;H. Qu;Shengming Tang;Jie Tang;Jiaming Yan;Limin Lin;Yongping Li;Yuhua Yang
通讯作者:Tiantian Li;H. Qu;Shengming Tang;Jie Tang;Jiaming Yan;Limin Lin;Yongping Li;Yuhua Yang
DOI:10.7638/kqdlxxb-2021.0057
发表时间:2021
期刊:空气动力学学报
影响因子:--
作者:李田田;屈宏雅;朱蓉;李永平;汤胜茗
通讯作者:汤胜茗
国内基金
海外基金