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contributor authorFernández-González, Sergio
contributor authorMartín, María Luisa
contributor authorGarcía-Ortega, Eduardo
contributor authorMerino, Andrés
contributor authorLorenzana, Jesús
contributor authorSánchez, José Luis
contributor authorValero, Francisco
contributor authorRodrigo, Javier Sanz
date accessioned2019-09-19T10:06:19Z
date available2019-09-19T10:06:19Z
date copyright11/29/2017 12:00:00 AM
date issued2017
identifier otherjamc-d-17-0121.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261581
description abstractAbstractWind 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, a sensitivity analysis of several physical schemes and initial and boundary conditions was performed 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 was used. The results indicate that performance of the Global Forecast System analysis and European Centre for Medium-Range Weather Forecasts interim reanalysis (ERA-Interim) as initial and boundary conditions was similar, although each performed better under certain meteorological conditions. With regard to physical schemes, there is no single combination of parameterizations that performs best during all weather conditions. Nevertheless, some combinations have been identified as inefficient, and therefore their use is discouraged. As a result, the validation of an ensemble prediction system composed of the best 12 deterministic simulations shows the most accurate results, obtaining relative errors in wind speed forecasts that are <15%.
publisherAmerican Meteorological Society
titleSensitivity Analysis of the WRF Model: Wind-Resource Assessment for Complex Terrain
typeJournal Paper
journal volume57
journal issue3
journal titleJournal of Applied Meteorology and Climatology
identifier doi10.1175/JAMC-D-17-0121.1
journal fristpage733
journal lastpage753
treeJournal of Applied Meteorology and Climatology:;2017:;volume 057:;issue 003
contenttypeFulltext


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