The 6-yr best-track data of tropical cyclones （TCs） in the western North Pacific are used to study the statistical features of TC size and radial wind profile. A TC size is defined as the azimuthal mean radius of 34...The 6-yr best-track data of tropical cyclones （TCs） in the western North Pacific are used to study the statistical features of TC size and radial wind profile. A TC size is defined as the azimuthal mean radius of 34-kt surface wind. On average, the TCs in the western North Pacific have a size of 203 km, and the size is larger for stronger TCs. Further analyses show that larger TCs tend to move faster than smaller ones, with a 23–24 km difference in size corresponding to a difference of about 10 km h -1 in moving speed. The TCs that recurve from westward to eastward moving have a mean size of 218 km, significantly larger than that of those without a turning point （179 km）. Regional TC distributions demonstrate that the TCs affecting the Korean Peninsula and southwestern Japan have the largest mean size （250–280 km）. There are also some large TCs affecting southern Philippines, while TCs over the South China Sea are generally small in size. Comparison of intensity and size of all TCs during their lifespan demonstrates that a TC tends to reach its maximum size 6 h after it reaches its maximum intensity, and the decrease rate of size during the weakening stage of a TC is much smaller than the increase rate of size during its developing stage. Thus, linear regression relations between TC size and intensity are established for its developing and weakening stages respectively, which can be used as a forecast tool for TC size. Features of TC radial wind profile are studied by analyzing a parametric wind model based on the radius data of 34-, 50-, and 64-kt surface winds. The results show that the shape parameter d most frequently takes the values of 0.3, 0.4, and 0.5. It generally increases （decreases） as the TC develops （weakens）, implying a sharper （flatter） radial wind profile. Changes in d leads the tendency of intensity. The two parameters for the asymmetric model, namely p and q, are mostly 0.85–1.05 and 0–0.2, respectively, embodying the fact that the asymmetric component is generally much smaller than the symmetric component. The asymmetry in 34-kt surface wind is much stronger than that in 50and 64-kt surface winds, with the maximum radius often in the northeast quadrant.展开更多
Improvements in the aerodynamic design will lead to more efficiency of wind turbines and higher power production. In the present study, a 3D parametric gas turbine blade geometry building code, 3DBGB, has been modifie...Improvements in the aerodynamic design will lead to more efficiency of wind turbines and higher power production. In the present study, a 3D parametric gas turbine blade geometry building code, 3DBGB, has been modified in order to include wind turbine design capabilities. This approach enables greater flexibility of the design along with the ability to design more complex geometries with relative ease. The NREL NASA Phase VI wind turbine was considered as a test case for validation and as a baseline by which modified designs could be compared. The design parameters were translated into 3DBGB input to create a 3D model of the wind turbine which can also be imported into any CAD program. Design modifications included replacing the airfoil section and modifying the thickness to chord ratio as a function of span. These models were imported into a high-fidelity CFD package, Fine/TURBO by NUMECA. Fine/TURBO is a specialized CFD platform for turbo-machinery analysis. A code-geomturbo was used to convert the 3D model of the wind turbine into the native format used to define geometries in the Fine/TURBO meshing tool, AutoGrid. The CFD results were post processed using a 3D force analysis code. The radial force variations were found to play a measurable role in the performance of wind turbine blades. The radial component of the blade surface area as it varies in span is the dominant contributor of the radial forces. Through the radial momentum equation, this radial force variation is responsible for creating the streamline curvature that leads to the expansion of the streamtube (slipstream) that is responsible for slowing the wind velocity ahead of the wind turbine leading edge, which is quantified as the axial induction factor. These same radial forces also play a role in changing the slipstream for propellers. Through the design modifications, simulated with CFD and post-processed appropriately, this connection with the radial component of area to the radial forces to the axial induction factor, and finally the wind turbine power is demonstrated. The results from the CFD analysis and 3D force analysis are presented. For the case presented, the power increases by 5.6% due to changes in airfoil thickness only.展开更多
台风风场径向廓线模型对台风灾害的评估以及台风尺度的研究具有重要的价值.利用西北太平洋2001-2020年的台风最佳路径观测数据,评估了目前国际上应用比较广泛的六个分别基于经验参数和物理过程的台风风场径向廓线模型对台风尺度(台风大...台风风场径向廓线模型对台风灾害的评估以及台风尺度的研究具有重要的价值.利用西北太平洋2001-2020年的台风最佳路径观测数据,评估了目前国际上应用比较广泛的六个分别基于经验参数和物理过程的台风风场径向廓线模型对台风尺度(台风大风半径,R17)的估计精度,并探讨了台风结构、强度等内部因素以及垂直风切变和移动速度等环境因子对模型精度的影响.评估发现,所有模型均高估了R17较小的台风而低估了R17较大的台风,且R17越小,高估越明显,R17越大,低估越严重.总体而言,Willoughby et al发展的基于参数的模型具有最小的估计偏差且与观测记录之间最高的相关性.研究还发现,台风内核尺度(最大风速半径,RMW)和强度(最大地面风速,V_(max))对不同模型的影响具有显著的差异性.此外,在高环境风切变和高移速条件下,模型的估计偏差的量级会显著增加.以上研究为进一步完善适用于不同环境条件下,不同结构与强度台风的风场模型提供参考.展开更多
基金Supported by the National Basic Research Program of China (2009CB421505)National Natural Science Foundation of China(40730948 and 40921160381)+2 种基金Special Projects for Public Welfare (2005DIB3J104)Shanghai Science Committee Climb Plan(06DZ12011)Special Projects for Public Welfare (Meteorology) of China Meteorological Administration (GYHY200906002and GYHY201006008)
文摘The 6-yr best-track data of tropical cyclones （TCs） in the western North Pacific are used to study the statistical features of TC size and radial wind profile. A TC size is defined as the azimuthal mean radius of 34-kt surface wind. On average, the TCs in the western North Pacific have a size of 203 km, and the size is larger for stronger TCs. Further analyses show that larger TCs tend to move faster than smaller ones, with a 23–24 km difference in size corresponding to a difference of about 10 km h -1 in moving speed. The TCs that recurve from westward to eastward moving have a mean size of 218 km, significantly larger than that of those without a turning point （179 km）. Regional TC distributions demonstrate that the TCs affecting the Korean Peninsula and southwestern Japan have the largest mean size （250–280 km）. There are also some large TCs affecting southern Philippines, while TCs over the South China Sea are generally small in size. Comparison of intensity and size of all TCs during their lifespan demonstrates that a TC tends to reach its maximum size 6 h after it reaches its maximum intensity, and the decrease rate of size during the weakening stage of a TC is much smaller than the increase rate of size during its developing stage. Thus, linear regression relations between TC size and intensity are established for its developing and weakening stages respectively, which can be used as a forecast tool for TC size. Features of TC radial wind profile are studied by analyzing a parametric wind model based on the radius data of 34-, 50-, and 64-kt surface winds. The results show that the shape parameter d most frequently takes the values of 0.3, 0.4, and 0.5. It generally increases （decreases） as the TC develops （weakens）, implying a sharper （flatter） radial wind profile. Changes in d leads the tendency of intensity. The two parameters for the asymmetric model, namely p and q, are mostly 0.85–1.05 and 0–0.2, respectively, embodying the fact that the asymmetric component is generally much smaller than the symmetric component. The asymmetry in 34-kt surface wind is much stronger than that in 50and 64-kt surface winds, with the maximum radius often in the northeast quadrant.
文摘Improvements in the aerodynamic design will lead to more efficiency of wind turbines and higher power production. In the present study, a 3D parametric gas turbine blade geometry building code, 3DBGB, has been modified in order to include wind turbine design capabilities. This approach enables greater flexibility of the design along with the ability to design more complex geometries with relative ease. The NREL NASA Phase VI wind turbine was considered as a test case for validation and as a baseline by which modified designs could be compared. The design parameters were translated into 3DBGB input to create a 3D model of the wind turbine which can also be imported into any CAD program. Design modifications included replacing the airfoil section and modifying the thickness to chord ratio as a function of span. These models were imported into a high-fidelity CFD package, Fine/TURBO by NUMECA. Fine/TURBO is a specialized CFD platform for turbo-machinery analysis. A code-geomturbo was used to convert the 3D model of the wind turbine into the native format used to define geometries in the Fine/TURBO meshing tool, AutoGrid. The CFD results were post processed using a 3D force analysis code. The radial force variations were found to play a measurable role in the performance of wind turbine blades. The radial component of the blade surface area as it varies in span is the dominant contributor of the radial forces. Through the radial momentum equation, this radial force variation is responsible for creating the streamline curvature that leads to the expansion of the streamtube (slipstream) that is responsible for slowing the wind velocity ahead of the wind turbine leading edge, which is quantified as the axial induction factor. These same radial forces also play a role in changing the slipstream for propellers. Through the design modifications, simulated with CFD and post-processed appropriately, this connection with the radial component of area to the radial forces to the axial induction factor, and finally the wind turbine power is demonstrated. The results from the CFD analysis and 3D force analysis are presented. For the case presented, the power increases by 5.6% due to changes in airfoil thickness only.
文摘台风风场径向廓线模型对台风灾害的评估以及台风尺度的研究具有重要的价值.利用西北太平洋2001-2020年的台风最佳路径观测数据,评估了目前国际上应用比较广泛的六个分别基于经验参数和物理过程的台风风场径向廓线模型对台风尺度(台风大风半径,R17)的估计精度,并探讨了台风结构、强度等内部因素以及垂直风切变和移动速度等环境因子对模型精度的影响.评估发现,所有模型均高估了R17较小的台风而低估了R17较大的台风,且R17越小,高估越明显,R17越大,低估越严重.总体而言,Willoughby et al发展的基于参数的模型具有最小的估计偏差且与观测记录之间最高的相关性.研究还发现,台风内核尺度(最大风速半径,RMW)和强度(最大地面风速,V_(max))对不同模型的影响具有显著的差异性.此外,在高环境风切变和高移速条件下,模型的估计偏差的量级会显著增加.以上研究为进一步完善适用于不同环境条件下,不同结构与强度台风的风场模型提供参考.
