Gefördert auf Grund eines Beschlusses des Deutschen Bundestages ProjektträgerKoordination...
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Gefördert auf Grund eines Beschlusses des Deutschen Bundestages Projektträger Koordination Monitoring the power performance of an offshore WEC using nacelle-based wind measurements and the Langevin power curve Matthias Wächter, Patrick Milan, Philip Rinn, Joachim Peinke ForWind Center for Wind Energy Research Institute of Physics, Carl von Ossietky University of Oldenburg EWEA 2013 Vienna, 4.-7.2.2013
Gefördert auf Grund eines Beschlusses des Deutschen Bundestages ProjektträgerKoordination Monitoring the power performance of an offshore WEC using nacelle-based
Gefrdert auf Grund eines Beschlusses des Deutschen Bundestages
ProjekttrgerKoordination Monitoring the power performance of an
offshore WEC using nacelle-based wind measurements and the Langevin
power curve Matthias Wchter, Patrick Milan, Philip Rinn, Joachim
Peinke ForWind Center for Wind Energy Research Institute of
Physics, Carl von Ossietky University of Oldenburg EWEA 2013
Vienna, 4.-7.2.2013
Slide 2
Wchter, Milan, Rinn, Peinke Power curve monitoring EWEA 2013
Vienna 1 Challenge of wind power conversion Input Turbulent wind:
Intermittent, extreme events Output Turbulent power Conversion
Complex, nonlinear interaction
Slide 3
Wchter, Milan, Rinn, Peinke Power curve monitoring EWEA 2013
Vienna 2 Wind energy conversion dynamics Highly dynamical process
on short time scales Driven by turbulent wind How to obtain the
response dynamics of WEC? Possible from wind and power data
~1Hz
Slide 4
Wchter, Milan, Rinn, Peinke Power curve monitoring EWEA 2013
Vienna 3 Langevin power curve Drift function reflects average slope
of power signal Drift field shows deterministic dynamics of energy
conversion Stable fixed points constitute Langevin Power Curve
Important properties Shows short-time dynamics (~1s) Quick
detection of changes Multiple fixed points possible State-based vs.
global averaging (as of IEC 61400-12) AV 4: REpower 5M
Slide 5
Wchter, Milan, Rinn, Peinke Power curve monitoring EWEA 2013
Vienna 4 Langevin power curve monitoring AV 4: REpower 5M Daily LPC
over 10 days, February 2011 Wind: nacelle anemometer Artifact
caused by wind measurement Unfortunately no turbine anomalies here
Changes in dynamical behavior are detected
Slide 6
Wchter, Milan, Rinn, Peinke Power curve monitoring EWEA 2013
Vienna 5 Langevin power curve monitoring Example showing anomaly
FAST simulation of WindPact 1.5 turbine Artificial pitch failure:
one blade fixed to 45 LPC after 1000min of failure NOT AV 4
(Significant) Pitch failure clearly detected [Muecke, PhD Thesis,
to be published]
Slide 7
Wchter, Milan, Rinn, Peinke Power curve monitoring EWEA 2013
Vienna 6 Nacelle lidar-based Langevin power curve Lidar scanner
developed by SWE, U Stuttgart Deployed at AREVA Wind M5000
prototype, BHV 1 day measurement AREVA Wind M5000 prototype Large
potential of nacelle lidar-based power curve measurements
Slide 8
Wchter, Milan, Rinn, Peinke Power curve monitoring EWEA 2013
Vienna 7 Nacelle lidar development at ForWind Prototype developed
within LIDAR II at Marine Physics group, U Oldenburg Spinner
integration Robust Cost-efficient Field testing early 2013
Slide 9
Wchter, Milan, Rinn, Peinke Power curve monitoring EWEA 2013
Vienna 8 Conclusions Langevin power curve suitable for monitoring
of power performance Quick and clear detection of anomalies Large
potential for nacelle-based lidar wind measurements Spinner-mounted
lidar developed at ForWind Oldenburg Thank you for your attention!
Thanks to: SWE U Stuttgart, REpower Systems SE, Areva Wind GmbH,
and the RAVE initiative