WRF Modeling of Deep Convection and Hail for Wind Power Applications
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In this article, a 25-day Weather Research and Forecasting (WRF) model simulation conducted at convection-permitting resolution and using a detailed microphysics scheme is carried out for the Southern Great Plains (SGP) to evaluate the effectiveness in modelling the 15 wind and precipitation conditions relevant to LEE potential.Abstract:
6 Deep convection and the related occurrence of hail, intense precipitation and wind gusts 7 represent a hazard to a range of energy infrastructure including wind turbine blades. Wind 8 turbine blade leading edge erosion (LEE) is caused by the impact of falling hydrometeors onto 9 rotating wind turbine blades. It is a major source of wind turbine maintenance costs and energy 10 losses from wind farms. In the United States Southern Great Plains (SGP), where there is 11 widespread wind energy development, deep convection and hail events are common, increasing 12 the potential for precipitation-driven LEE. A 25-day Weather Research and Forecasting (WRF) 13 model simulation conducted at convection-permitting resolution and using a detailed 14 microphysics scheme is carried out for the SGP to evaluate the effectiveness in modelling the 15 wind and precipitation conditions relevant to LEE potential. WRF output for these properties is 16 evaluated using radar observations of precipitation (including hail) and reflectivity, in situ wind 17 speed measurements and wind power generation. This research demonstrates some skill for the 18 primary drivers of LEE. Wind speeds, rainfall rates and precipitation totals show good agreement 19 with observations. The occurrence of precipitation during power producing wind speeds is also 20 shown to exhibit fidelity. Hail events frequently occur during periods when wind turbines are 21 Early Online Release: This preliminary version has been accepted for publication in Journal of Applied Meteorology and limatology, may be fully cited, and has been assigned DOI The final typeset copyedited article will replace the EOR at the above DOI when it is published. © 20 ological Society C 20 American Meteor 10.1175/JAMC-D-20-0033.1. D ow naded rom http:urnals.am ets.org/jam c/article-oi/10.1175/JAM C -D -20-003/4992799/jam cd2033.pdf by gest on 03 Sptem er 2020read more
Citations
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Numerical study of convection observed during the Winter Monsoon Experiment using a mesoscale two-dimensional model [presentation]
TL;DR: In this article, a two-dimensional version of the Pennsylvania State University mesoscale model has been applied to Winter Monsoon Experiment data in order to simulate the diurnally occurring convection observed over the South China Sea.
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Climate change impacts on wind power generation
TL;DR: In this paper, the authors describe the factors that dictate the wind resource magnitude and variability and illustrate the tools and techniques that are being used to make projections of wind resources and wind turbine operating conditions.
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Convection-permitting modeling with regional climate models: Latest developments and next steps
Philippe Lucas-Picher,Daniel Argüeso,Erwan Brisson,Yves Tramblay,Peter Berg,Aude Lemonsu,Sven Kotlarski,Cécile Caillaud +7 more
Modeling of Cloud Microphysics: Can We Do Better?
Wojciech W. Grabowski,Hugh Morrison,Shin-ichiro Shima,Gustavo C. Abade,Piotr Dziekan,Hanna Pawlowska +5 more
TL;DR: In this article, the authors describe the representation of cloud microphysics as a key aspect of simulating clouds, and propose a cloud model based on an Eulerian approach.
Wind power forecasting for a real onshore wind farm on complex terrain using WRF high resolution simulations.
Miguel Ángel Prósper Fernández,Carlos Otero Casal,Felipe Canoura Fernández,Gonzalo Miguez-Macho +3 more
TL;DR: In this paper, a real onshore wind farm is simulated using high horizontal and vertical resolution weather research and forecasting (WRF) model simulations and the best mean annual error (MAE) obtained is 1.87m/s for wind speed and 14.75% for wind power.
References
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