scholarly journals Study on Transient Wind Field Model of Transmission Line Based on Multivariable Harmonic Superposition Method

2020 ◽  
Vol 1639 ◽  
pp. 012021
Author(s):  
Mu Li ◽  
Tao Xiang ◽  
Yiping Wang ◽  
Kun Chen
2013 ◽  
Vol 79 ◽  
pp. 29-35 ◽  
Author(s):  
Ivan V. Kovalets ◽  
Vladimir Y. Korolevych ◽  
Alexander V. Khalchenkov ◽  
Ievgen A. Ievdin ◽  
Mark J. Zheleznyak ◽  
...  

Author(s):  
Eduardo Rodríguez ◽  
Gustavo Montero ◽  
Rafael Montenegro ◽  
José María Escobar ◽  
José María González-Yuste

2004 ◽  
Vol 3 (1) ◽  
pp. 33-39 ◽  
Author(s):  
Xiuqin Wang ◽  
Chengchun Qian ◽  
Wei Wang ◽  
Tong Yan

2020 ◽  
Vol 59 (4) ◽  
pp. 687-705
Author(s):  
Derek Chang ◽  
Saurabh Amin ◽  
Kerry Emanuel

AbstractThis article presents an azimuthally asymmetric gradient hurricane wind field model that can be coupled with hurricane-track models for engineering wind risk assessments. The model incorporates low-wavenumber asymmetries into the maximum wind intensity parameter of the Holland et al. wind field model. The amplitudes and phases of the asymmetries are parametric functions of the storm-translation speed and wind shear. Model parameters are estimated by solving a constrained, nonlinear least squares (CNLS) problem that minimizes the sum of squared residuals between wind field intensities of historical storms and model-estimated winds. There are statistically significant wavenumber-1 asymmetries in the wind field resulting from both storm translation and wind shear. Adding the translation vector to the wind field model with wavenumber-1 asymmetries further improves the model’s estimation performance. In addition, inclusion of the wavenumber-1 asymmetry resulting from translation results in a greater decrease in modeling error than does inclusion of the wavenumber-1 shear-induced asymmetry. Overall, the CNLS estimation method can handle the inherently nonlinear wind field model in a flexible manner; thus, it is well suited to capture the radial variability in the hurricane wind field’s asymmetry. The article concludes with brief remarks on how the CNLS-estimated model can be applied for simulating wind fields in a statistically generated ensemble.


2009 ◽  
Vol 48 (2) ◽  
pp. 381-405 ◽  
Author(s):  
Peter J. Vickery ◽  
Dhiraj Wadhera ◽  
Mark D. Powell ◽  
Yingzhao Chen

Abstract This article examines the radial dependence of the height of the maximum wind speed in a hurricane, which is found to lower with increasing inertial stability (which in turn depends on increasing wind speed and decreasing radius) near the eyewall. The leveling off, or limiting value, of the marine drag coefficient in high winds is also examined. The drag coefficient, given similar wind speeds, is smaller for smaller-radii storms; enhanced sea spray by short or breaking waves is speculated as a cause. A fitting technique of dropsonde wind profiles is used to model the shape of the vertical profile of mean horizontal wind speeds in the hurricane boundary layer, using only the magnitude and radius of the “gradient” wind. The method slightly underestimates the surface winds in small but intense storms, but errors are less than 5% near the surface. The fit is then applied to a slab layer hurricane wind field model, and combined with a boundary layer transition model to estimate surface winds over both marine and land surfaces.


2017 ◽  
Vol 100 ◽  
pp. 146-163 ◽  
Author(s):  
Andre Pinheiro ◽  
Filipe Desterro ◽  
Marcelo C. Santos ◽  
Claudio M.N.A. Pereira ◽  
Roberto Schirru

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