Access the full text.
Sign up today, get DeepDyve free for 14 days.
(2007)
Wind Data Final Report Truro, Massachusetts
M. Brower, D. Corbus (2009)
Development of Eastern Regional Wind Resource and Wind Plant Output Datasets: March 3, 2008 -- March 31, 2010
Determining the Capacity Value of Wind : An Updated Survey of Methods and Implementation , ” presented at Windpower 2008 , Houston , USA , 2008 [ Online ] Capacity Value of Wind Power
M. Milligan, K. Porter (2008)
Determining the Capacity Value of Wind: An Updated Survey of Methods and Implementation; Preprint
(2009)
MERRA – NASA’s Reanalysis, Overview of the System
NASA Global Modeling and Assimilation Office , “ File Specification for MERRA Products version 2 . 1 , ” [ Online ]
(2008)
File Specification for MERRA Products version 2.1
A. Keane, M. Milligan, C. Dent, B. Hasche, C. D'Annunzio, K. Dragoon, H. Holttinen, N. Samaan, L. Söder, M. O’Malley (2011)
Capacity Value of Wind PowerIEEE Transactions on Power Systems, 26
(2009)
Using Simulated Wind Data From A Mesoscale Model in MCP
A. Rogers, Jack Rogers, J. Manwell (2005)
Comparison of the performance of four measure–correlate–predict algorithmsJournal of Wind Engineering and Industrial Aerodynamics, 93
As wind plants become a more substantial portion of the generation resource, the ability of and manner in which this new fleet of generation supports meeting the power system load in a given area must be quantified in order to ensure security of supply. This paper describes the manner in which a reanalysis dataset—the National Aeronautics and Space Administration (NASA) Modern Era Retrospective-Analysis for Research and Applications (MERRA) dataset—was utilized in conjunction with the National Renewable Energy Laboratory (NREL) Eastern Wind Integration Dataset in order to perform an estimation of the interannual variability in wind power production as related to the capacity value of the investigated potential wind plants. Also described in the paper is a comparison of the MERRA data with publicly available wind data collected by the University of Massachusetts Wind Energy Center (UMass WEC).
Wind Engineering – SAGE
Published: Feb 1, 2012
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.