Autonomous Aerial Sensors for Wind Power Meteorology - A Pre-Project

Gregor Giebel, Uwe Schmidt Paulsen, Jens Bange, Anders la Cour-Harbo, Joachim Reuder, Stephanie Mayer, Aline van der Kroonenberg, John Mølgaard

Publikation: Bog/antologi/afhandling/rapportRapportForskning

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Resumé

Autonomous Aerial Sensors, i.e. meteorological sensors mounted
on Unmanned Aerial Systems UAS, can characterise the
atmospheric flow in and around wind farms. We instrumented three
planes, a helicopter and a lighter-than-air LTA system to fly one
week together in a well-instrumented wind farm, partly with nanosynchronised
sensors (time stamped with about 100 ns global
accuracy). Between bankruptcy of a partner, denied overflight
rights at the main test location, denied Civil Aviation Authorities
permits at the alternative location, stolen planes, and crashed UAS
we managed to collect data at a wind farm in Lolland and on an
atmospheric campaign in France. Planning of an offshore campaign
using the developed techniques is underway.
OriginalsprogEngelsk
ForlagDanmarks Tekniske Universitet, Risø Nationallaboratoriet for Bæredygtig Energi
Antal sider90
ISBN (Trykt)978-87-550-3945-2
StatusUdgivet - jan. 2012
NavnDenmark. Forskningscenter Risoe. Risoe-R
ISSN0106-2840

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Meteorology
Farms
Wind power
Antennas
Sensors
Civil aviation
Helicopters
Planning
Air

Citer dette

Giebel, G., Schmidt Paulsen, U., Bange, J., la Cour-Harbo, A., Reuder, J., Mayer, S., ... Mølgaard, J. (2012). Autonomous Aerial Sensors for Wind Power Meteorology - A Pre-Project. Danmarks Tekniske Universitet, Risø Nationallaboratoriet for Bæredygtig Energi. Denmark. Forskningscenter Risoe. Risoe-R
Giebel, Gregor ; Schmidt Paulsen, Uwe ; Bange, Jens ; la Cour-Harbo, Anders ; Reuder, Joachim ; Mayer, Stephanie ; van der Kroonenberg, Aline ; Mølgaard, John. / Autonomous Aerial Sensors for Wind Power Meteorology - A Pre-Project. Danmarks Tekniske Universitet, Risø Nationallaboratoriet for Bæredygtig Energi, 2012. 90 s. (Denmark. Forskningscenter Risoe. Risoe-R).
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abstract = "Autonomous Aerial Sensors, i.e. meteorological sensors mounted on Unmanned Aerial Systems UAS, can characterise the atmospheric flow in and around wind farms. We instrumented three planes, a helicopter and a lighter-than-air LTA system to fly one week together in a well-instrumented wind farm, partly with nano-synchronised sensors (time stamped with about 100 ns global accuracy). Between bankruptcy of a partner, denied overflight rights at the main test location, denied Civil Aviation Authorities permits at the alternative location, stolen planes, and crashed UAS we managed to collect data at a wind farm in Lolland and on an atmospheric campaign in France. Planning of an offshore campaign using the developed techniques is underway.",
author = "Gregor Giebel and {Schmidt Paulsen}, Uwe and Jens Bange and {la Cour-Harbo}, Anders and Joachim Reuder and Stephanie Mayer and {van der Kroonenberg}, Aline and John M{\o}lgaard",
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Giebel, G, Schmidt Paulsen, U, Bange, J, la Cour-Harbo, A, Reuder, J, Mayer, S, van der Kroonenberg, A & Mølgaard, J 2012, Autonomous Aerial Sensors for Wind Power Meteorology - A Pre-Project. Denmark. Forskningscenter Risoe. Risoe-R, Danmarks Tekniske Universitet, Risø Nationallaboratoriet for Bæredygtig Energi.

Autonomous Aerial Sensors for Wind Power Meteorology - A Pre-Project. / Giebel, Gregor; Schmidt Paulsen, Uwe; Bange, Jens; la Cour-Harbo, Anders; Reuder, Joachim; Mayer, Stephanie; van der Kroonenberg, Aline; Mølgaard, John.

Danmarks Tekniske Universitet, Risø Nationallaboratoriet for Bæredygtig Energi, 2012. 90 s. (Denmark. Forskningscenter Risoe. Risoe-R).

Publikation: Bog/antologi/afhandling/rapportRapportForskning

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AU - Mayer, Stephanie

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N2 - Autonomous Aerial Sensors, i.e. meteorological sensors mounted on Unmanned Aerial Systems UAS, can characterise the atmospheric flow in and around wind farms. We instrumented three planes, a helicopter and a lighter-than-air LTA system to fly one week together in a well-instrumented wind farm, partly with nano-synchronised sensors (time stamped with about 100 ns global accuracy). Between bankruptcy of a partner, denied overflight rights at the main test location, denied Civil Aviation Authorities permits at the alternative location, stolen planes, and crashed UAS we managed to collect data at a wind farm in Lolland and on an atmospheric campaign in France. Planning of an offshore campaign using the developed techniques is underway.

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Giebel G, Schmidt Paulsen U, Bange J, la Cour-Harbo A, Reuder J, Mayer S et al. Autonomous Aerial Sensors for Wind Power Meteorology - A Pre-Project. Danmarks Tekniske Universitet, Risø Nationallaboratoriet for Bæredygtig Energi, 2012. 90 s. (Denmark. Forskningscenter Risoe. Risoe-R).