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Optimal hydrogen storage sizing for wind power plants in day ahead electricity market

โœ Scribed by Brunetto, C. (author);Tina, G. (author)

Book ID
114444880
Publisher
The Institution of Engineering and Technology
Year
2007
Tongue
English
Weight
600 KB
Volume
1
Category
Article
ISSN
1752-1416

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๐Ÿ“‚ Article ๐Ÿ“… 2004 ๐Ÿ› Elsevier Science โš– 159 KB

This case study highlights the importance of taking into consideration diurnal variations of wind velocity for wind energy resources assessment. Previous studies of wind energy distribution that are based on the two-parameter Weibull density function have so far neglected to consider time of day flu