Sensitivity analysis of WRF model: wind-resource assessment for complex terrain

Sensitivity analysis of WRF model: wind-resource assessment for complex terrain AbstractWind energy requires accurate forecasts for adequate integration into the electric grid system. In addition, global atmospheric models are not able to simulate local winds in complex terrain, where wind farms are sometimes placed. For this reason, the use of mesoscale models is vital for estimating wind speed at wind turbine hub height. In this regard, the Weather Research and Forecasting (WRF) model allows a user to apply different initial and boundary conditions, as well as physical parameterizations. In this research, we performed a sensitivity analysis of several physical schemes and initial and boundary conditions for the Alaiz mountain range in the northern Iberian Peninsula, where several wind farms are located.Model performance was evaluated under various atmospheric stabilities and wind speeds. For validation purposes, a mast with anemometers installed at 40, 78, 90 and 118 m above ground level (m AGL) was used. The results indicate that performance of the Global Forecast System (GFS) analysis and ERA-Interim reanalysis as initial and boundary conditions was similar, although each performed better under certain meteorological conditions. Regarding physical schemes, there is no single combination of parameterizations that performs best during all weather conditions. Nevertheless, some combinations have been identified as inefficient so their use is discouraged. As a result, the validation of an ensemble prediction system (EPS) composed of the best 12 deterministic simulations shows the most accurate results, obtaining relative errors in wind speed forecasts that are < 15%. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Applied Meteorology and Climatology American Meteorological Society

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Publisher
American Meteorological Society
Copyright
Copyright © American Meteorological Society
ISSN
1558-8432
D.O.I.
10.1175/JAMC-D-17-0121.1
Publisher site
See Article on Publisher Site

Abstract

AbstractWind energy requires accurate forecasts for adequate integration into the electric grid system. In addition, global atmospheric models are not able to simulate local winds in complex terrain, where wind farms are sometimes placed. For this reason, the use of mesoscale models is vital for estimating wind speed at wind turbine hub height. In this regard, the Weather Research and Forecasting (WRF) model allows a user to apply different initial and boundary conditions, as well as physical parameterizations. In this research, we performed a sensitivity analysis of several physical schemes and initial and boundary conditions for the Alaiz mountain range in the northern Iberian Peninsula, where several wind farms are located.Model performance was evaluated under various atmospheric stabilities and wind speeds. For validation purposes, a mast with anemometers installed at 40, 78, 90 and 118 m above ground level (m AGL) was used. The results indicate that performance of the Global Forecast System (GFS) analysis and ERA-Interim reanalysis as initial and boundary conditions was similar, although each performed better under certain meteorological conditions. Regarding physical schemes, there is no single combination of parameterizations that performs best during all weather conditions. Nevertheless, some combinations have been identified as inefficient so their use is discouraged. As a result, the validation of an ensemble prediction system (EPS) composed of the best 12 deterministic simulations shows the most accurate results, obtaining relative errors in wind speed forecasts that are < 15%.

Journal

Journal of Applied Meteorology and ClimatologyAmerican Meteorological Society

Published: Nov 29, 2017

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