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2D VAR single Doppler lidar vector retrieval and its application in offshore wind energy

Abstract Remote sensors like Doppler lidars can map the winds with high accuracy and spatial resolution. One shortcoming of lidars is that the radial velocity measured by the lidar does not give a complete picture of the windfield necessitating additional data processing to reconstruct the windfield. Most of the popular vector retrieval algorithms rely on the homogenous wind field assumption which plays a vital role in reducing the indeterminacy of the inverse problem of obtaining Cartesian velocity from radial velocity measurements. Consequently, these methods fail in situations where the flow is heterogeneous e.g., Turbine wakes. Alternate methods are based either on statistical models (e.g., optimal interpolation [1]) or computationally intensive... (more)
Created Date 2017-10
Contributor Cherukuru, Nihanth (ASU author) / Calhoun, Ronald (ASU author) / Krishnamurthy, Raghavendra (ASU author) / Benny, Svardal (Author) / Reuder, Joachim (Author) / Flugge, Martin (Author) / Ira A. Fulton Schools of Engineering / School for the Engineering of Matter, Transport and Energy
Type Text
Extent 8 pages
Language English
Identifier DOI: 10.1016/j.egypro.2017.10.378 / ISSN: 1876-6102
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Citation Cherukuru, N. W., Calhoun, R., Krishnamurthy, R., Benny, S., Reuder, J., & Flügge, M. (2017). 2D VAR single Doppler lidar vector retrieval and its application in offshore wind energy. Energy Procedia, 137, 497-504. doi:10.1016/j.egypro.2017.10.378
Collaborating Institutions ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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