Development of a Powerful Hybrid Tool for Evaluating Wind Power in Complex Terrain: Atmospheric Numerical Models and Wind Tunnels

2004 ◽  
Author(s):  
Russell Derickson ◽  
Jon Peterka
Keyword(s):  
Wind Power ◽  
Complex Terrain ◽  
Numerical Models ◽  
Wind Tunnels

Wind power forecasting for a real onshore wind farm on complex terrain using WRF high resolution simulations

2019 ◽  
Vol 135 ◽  
pp. 674-686 ◽  
Author(s):  
Miguel A. Prósper ◽  
Carlos Otero-Casal ◽  
Felipe Canoura Fernández ◽  
Gonzalo Miguez-Macho
Keyword(s):  
High Resolution ◽  
Wind Power ◽  
Complex Terrain ◽  
Wind Farm ◽  
Onshore Wind ◽  
Wind Power Forecasting ◽  
Power Forecasting

Operating ranges of mesoscale numerical models and meteorological wind tunnels for the simulation of sea and land breezes

1990 ◽  
Vol 50 (1-4) ◽  
pp. 227-275 ◽  
Author(s):  
R. Avissar ◽  
M. D. Moran ◽  
G. Wu ◽  
R. N. Meroney ◽  
R. A. Pielke
Keyword(s):  
Numerical Models ◽  
Wind Tunnels ◽  
Land Breezes

scholarly journals A Short-Term Ensemble Wind Speed Forecasting System for Wind Power Applications

2012 ◽  
Vol 51 (10) ◽  
pp. 1763-1774 ◽  
Author(s):  
Justin J. Traiteur ◽  
David J. Callicutt ◽  
Maxwell Smith ◽  
Somnath Baidya Roy
Keyword(s):  
Wind Speed ◽  
Wind Power ◽  
Statistical Models ◽  
Bayesian Model Averaging ◽  
Numerical Models ◽  
Weather Prediction ◽  
Environmental Stability ◽  
Short Term ◽  
Wind Speed Forecasting ◽  
Forecasting System

AbstractThis study develops an adaptive, blended forecasting system to provide accurate wind speed forecasts 1 h ahead of time for wind power applications. The system consists of an ensemble of 21 forecasts with different configurations of the Weather Research and Forecasting Single Column Model and persistence, autoregressive, and autoregressive moving-average models. The ensemble is calibrated against observations for a 6-month period (January–June 2006) at a potential wind-farm site in Illinois using the Bayesian model averaging technique. The forecasting system is evaluated against observations for the July 2006–December 2007 period at the same site. The calibrated ensemble forecasts significantly outperform the forecasts from the uncalibrated ensemble as well the time series models under all environmental stability conditions. This forecasting system is computationally more efficient than traditional numerical weather prediction models and can generate a calibrated forecast, including model runs and calibration, in approximately 1 min. Currently, hour-ahead wind speed forecasts are almost exclusively produced using statistical models. However, numerical models have several distinct advantages over statistical models including the potential to provide turbulence forecasts. Hence, there is an urgent need to explore the role of numerical models in short-term wind speed forecasting. This work is a step in that direction and is likely to trigger a debate within the wind speed forecasting community.

scholarly journals Surface Wind Direction Variability

2011 ◽  
Vol 50 (1) ◽  
pp. 144-152 ◽  
Author(s):  
Larry Mahrt
Keyword(s):  
Wind Direction ◽  
Complex Terrain ◽  
Numerical Models ◽  
Surface Wind ◽  
Nocturnal Boundary Layer ◽  
Surface Conditions ◽  
Time Periods ◽  
Weak Winds ◽  
Large Wind ◽  
Weak Wind

Abstract Common large shifts of wind direction in the weak-wind nocturnal boundary layer are poorly understood and are not adequately captured by numerical models and statistical parameterizations. The current study examines 15 datasets representing a variety of surface conditions to study the behavior of wind direction variability. In contrast to previous studies, the current investigation directly examines wind direction changes with emphasis on weak winds and wind direction changes over smaller time periods of minutes to tens of minutes, including large wind direction shifts. A formulation of the wind direction changes is offered that provides more realistic behavior for very weak winds and for complex terrain.

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