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

Author:

Potter Cameron W.1,Lew Debra2,McCaa Jim3,Cheng Sam4,Eichelberger Scott5,Grimit Eric6

Affiliation:

1. C.W.Potter is with 3TIER Pacific Rim, Hobart, Tasmania, Australia

2. D. Lew is with the National Renewable Energy Laboratory, National Wind Technology Center, Boulder, Colorado, USA

3. J. McCaa is with 3TIER, Seattle, Washington, USA

4. S. Cheng is with 3TIER, Seattle, Washington, USA

5. S. Eichelberger is with 3TIER, Seattle, Washington, USA

6. E. Grimit is with 3TIER, Seattle, Washington, USA

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.

Publisher

SAGE Publications

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

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