Autonomous Aerial Sensors for Wind Power Meteorology

Gregor Giebel, Anders la Cour-Harbo, Jens Bange, Joachim Reuder

Research output: Contribution to book/anthology/report/conference proceedingConference abstract in proceedingResearchpeer-review

Abstract

This paper describes a new approach for measurements in wind power meteorology using small unmanned flying platforms. Large-scale wind farms, especially offshore, need an optimisation between installed wind power density and the losses in the wind farm due to wake effects between the turbines. Good measurements of the wake and wake structure are not easy to come by, especially offshore. Very few measurement masts exist to verify our knowledge of atmospheric physics, and most of them are situated in quite homogeneous and gentle terrain. Here, automated Unmanned Aerial Vehicles (UAVs) could be used as either an extension of current masts or to build a network of very high 'masts' in a region of complex terrain or coastal flow conditions.

In order to test the potential and limits of UAVs for wind power meteorology, this project assembles four different UAVs from four participating groups. Risø has built a lighter-than-air kite with a long tether and nano-synchronised sensors, Bergen University flies the SUMO, a pusher airplane of 580g total weight equipped with a 100Hz Pitot tube, Tübingen University in conjunction with the TU Braunschweig flies the Carolo, a 2m wide two prop model with a 5-hole pitot tube on the nose, and Aalborg University will use a helicopter with a sonic anemometer as a slung load.

It was planned to fly all those platforms during one week at the Danish national test station for large wind turbines at Høvsøre. One of the large lessons learnt was that permitting is a major concern - both the campaign at Høvsøre and the alternate location at Risø had to be cancelled for different reasons, both related to flying permits. There was one week of flying though at the Nøjsomheds Odde wind farm in Lolland, where we could compare the SUMO and balloon with a Lidar and data from the wind farm. The other platforms performed their tests separately. Lastly, the lessons learnt were used to do a detailed planning for a possible offshore campaign.
Original languageEnglish
Title of host publicationProceedings of the EWEA 2012
Publication date2012
Publication statusPublished - 2012
EventEWEA 2012: Europe's Primier Wind Energy Event - Bella Center, Copenhagen, Denmark, Copenhagen, Denmark
Duration: 16 Apr 201219 Apr 2012

Conference

ConferenceEWEA 2012
LocationBella Center, Copenhagen, Denmark
CountryDenmark
CityCopenhagen
Period16/04/201219/04/2012

Fingerprint

Meteorology
Unmanned aerial vehicles (UAV)
Wind power
Antennas
Sensors
Slings
Offshore wind farms
Balloons
Anemometers
Optical radar
Helicopters
Wind turbines
Turbines
Physics
Aircraft
Planning
Air

Cite this

Giebel, G., la Cour-Harbo, A., Bange, J., & Reuder, J. (2012). Autonomous Aerial Sensors for Wind Power Meteorology. In Proceedings of the EWEA 2012
Giebel, Gregor ; la Cour-Harbo, Anders ; Bange, Jens ; Reuder, Joachim. / Autonomous Aerial Sensors for Wind Power Meteorology. Proceedings of the EWEA 2012. 2012.
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Giebel, G, la Cour-Harbo, A, Bange, J & Reuder, J 2012, Autonomous Aerial Sensors for Wind Power Meteorology. in Proceedings of the EWEA 2012., Copenhagen, Denmark, 16/04/2012.

Autonomous Aerial Sensors for Wind Power Meteorology. / Giebel, Gregor; la Cour-Harbo, Anders; Bange, Jens; Reuder, Joachim.

Proceedings of the EWEA 2012. 2012.

Research output: Contribution to book/anthology/report/conference proceedingConference abstract in proceedingResearchpeer-review

TY - ABST

T1 - Autonomous Aerial Sensors for Wind Power Meteorology

AU - Giebel, Gregor

AU - la Cour-Harbo, Anders

AU - Bange, Jens

AU - Reuder, Joachim

PY - 2012

Y1 - 2012

N2 - This paper describes a new approach for measurements in wind power meteorology using small unmanned flying platforms. Large-scale wind farms, especially offshore, need an optimisation between installed wind power density and the losses in the wind farm due to wake effects between the turbines. Good measurements of the wake and wake structure are not easy to come by, especially offshore. Very few measurement masts exist to verify our knowledge of atmospheric physics, and most of them are situated in quite homogeneous and gentle terrain. Here, automated Unmanned Aerial Vehicles (UAVs) could be used as either an extension of current masts or to build a network of very high 'masts' in a region of complex terrain or coastal flow conditions. In order to test the potential and limits of UAVs for wind power meteorology, this project assembles four different UAVs from four participating groups. Risø has built a lighter-than-air kite with a long tether and nano-synchronised sensors, Bergen University flies the SUMO, a pusher airplane of 580g total weight equipped with a 100Hz Pitot tube, Tübingen University in conjunction with the TU Braunschweig flies the Carolo, a 2m wide two prop model with a 5-hole pitot tube on the nose, and Aalborg University will use a helicopter with a sonic anemometer as a slung load. It was planned to fly all those platforms during one week at the Danish national test station for large wind turbines at Høvsøre. One of the large lessons learnt was that permitting is a major concern - both the campaign at Høvsøre and the alternate location at Risø had to be cancelled for different reasons, both related to flying permits. There was one week of flying though at the Nøjsomheds Odde wind farm in Lolland, where we could compare the SUMO and balloon with a Lidar and data from the wind farm. The other platforms performed their tests separately. Lastly, the lessons learnt were used to do a detailed planning for a possible offshore campaign.

AB - This paper describes a new approach for measurements in wind power meteorology using small unmanned flying platforms. Large-scale wind farms, especially offshore, need an optimisation between installed wind power density and the losses in the wind farm due to wake effects between the turbines. Good measurements of the wake and wake structure are not easy to come by, especially offshore. Very few measurement masts exist to verify our knowledge of atmospheric physics, and most of them are situated in quite homogeneous and gentle terrain. Here, automated Unmanned Aerial Vehicles (UAVs) could be used as either an extension of current masts or to build a network of very high 'masts' in a region of complex terrain or coastal flow conditions. In order to test the potential and limits of UAVs for wind power meteorology, this project assembles four different UAVs from four participating groups. Risø has built a lighter-than-air kite with a long tether and nano-synchronised sensors, Bergen University flies the SUMO, a pusher airplane of 580g total weight equipped with a 100Hz Pitot tube, Tübingen University in conjunction with the TU Braunschweig flies the Carolo, a 2m wide two prop model with a 5-hole pitot tube on the nose, and Aalborg University will use a helicopter with a sonic anemometer as a slung load. It was planned to fly all those platforms during one week at the Danish national test station for large wind turbines at Høvsøre. One of the large lessons learnt was that permitting is a major concern - both the campaign at Høvsøre and the alternate location at Risø had to be cancelled for different reasons, both related to flying permits. There was one week of flying though at the Nøjsomheds Odde wind farm in Lolland, where we could compare the SUMO and balloon with a Lidar and data from the wind farm. The other platforms performed their tests separately. Lastly, the lessons learnt were used to do a detailed planning for a possible offshore campaign.

M3 - Conference abstract in proceeding

BT - Proceedings of the EWEA 2012

ER -

Giebel G, la Cour-Harbo A, Bange J, Reuder J. Autonomous Aerial Sensors for Wind Power Meteorology. In Proceedings of the EWEA 2012. 2012