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Creating the Dataset for the Western Wind and Solar Integration Study (U.S.A.)

April 1, 2008 - Download Publication
By Cameron W. Potter, Debra Lew, Jim McCaa, Sam Cheng, Scott Eichelberger, and Eric Grimit
Originally printed in Wind Engineering, Volume 32, NO. 4, 2008

ABSTRACT

The Western Wind and Solar Integration Study (WWSIS) is one of the world's largest regional integration studies to date. This paper discusses the creation of the wind dataset that will be the basis for assessing the operating impacts and mitigation options due to the variability and uncertainty of wind power on the utility grids. The dataset is based on output from a mesoscale numerical weather prediction (NWP) model, covering over 4 million square kilometers with a spatial resolution of approximately two-kilometers over a period of three years with a temporal resolution of 10 minutes. The mesoscale model dataset includes all the meteorological variables necessary to calculate wind energy production. Individual time series were produced for over 30 thousand locations representing more than 900 GW of potential wind power generation.

Keywords: renewable energy, wind data, mesoscale numerical weather prediction

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