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Presentation by Andreas Krenn, Energiwerkstatt at Winterwind 2012, session 5a. "Intelligent load control for heated wind measurement sensors"
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Intelligent load control for heated wind measurement sensors
Winterwind 2012, Skellefteå/SE
Intelligent load control for heated wind measurement sensors
A. Krenn1, H. Winkelmeier1, F. Lachinger1
1Energiewerkstatt, Friedburg, Austria
Intelligent load control for heated wind measurement sensors
Winterwind 2012, Skellefteå/SE
Wind Energy
• Wind Measurement
• Project Development
• Planning & Implementation
• Training and Education
• Research & Demonstration
Company Profile
Intelligent load control for heated wind measurement sensors
Winterwind 2012, Skellefteå/SE
01 Wind Energy in Austria
02 Test Rig Schareck / Großglockner
03 Wind Measurement Brenner
Intelligent load control for heated wind measurement sensors
Winterwind 2012, Skellefteå/SE
Wind Energy in Austria State 31.12.2011
• 650 Wind turbines • 1.084 MW installed power • 2,39 TWh electricity generation per year • 3,6 % of Austrian electricity demand
Intelligent load control for heated wind measurement sensors
Winterwind 2012, Skellefteå/SE
• 10 •
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• 7 • •
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• 4 • 4
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3
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V med 6,5 – 7,0 m/s
V med 6,0 - 7,5 m/s
V med 5,5 – 6,5 m/s
V med 5,5 - 6,0 m/s
Wind conditions in Austria
Intelligent load control for heated wind measurement sensors
Winterwind 2012, Skellefteå/SE
Specific wind energy production in Austria Specific wind energy production in different regions of Austria
750 84
3
863
812 90
0
907
798
410 50
1
460 499 60
2
525
47561
4 686 73
5
639 74
5
660
665
910 10
42
990
861 96
1
915 10
10
0
200
400
600
800
1000
1200
2003 2004 2005 2006 2007 2008 2009
[kW
h/m²]
Eastern Region (106 WT) Northern Region (14 WT) Pre-Alpine Region (23 WT) Alps (13 WT)
Intelligent load control for heated wind measurement sensors
Winterwind 2012, Skellefteå/SE
01 Wind Energy in Austria
02 Test Rig Schareck / Großglockner
03 Wind Measurement Brenner
Intelligent load control for heated wind measurement sensors
Winterwind 2012, Skellefteå/SE
Test Rig Schareck
Intelligent load control for heated wind measurement sensors
Winterwind 2012, Skellefteå/SE
Measurement setup
Producer Type Operating mode Power [W]
NRG Ice Free 3 Heated cup anemometer 96 W
Vaisala WAA252 Heated cup anemometer 72 W
Thies A. 2D Heated 2D Ultrasonic 310 W
Thies A. 2D Compact Heated 2D Ultrasonic compact 250 W
Thies A. Classic Unheated cup anemometer -‐-‐-‐-‐-‐
Thies A. Classic Wind vane 25 W
Galltek P63-‐12 Combined Thermo-‐/Hygrosensor -‐-‐-‐-‐-‐
Mobotix M12 Dual Night Webcam with infrared spotlight -‐-‐-‐-‐-‐
Intelligent load control for heated wind measurement sensors
Winterwind 2012, Skellefteå/SE
Data evaluation
Comparison of five different scenarios rsp. icing periods: • Actual meteorological icing periods based on webcam evaluations
• Actual instrumental icing periods based on webcam evaluations
• Estimated icing periods according to synoptic considerations • Estimated icing periods according to comparison of heated and
unheated anemometers
• Estimated icing periods according to standard algorithms of heated wind measurement sensors
Intelligent load control for heated wind measurement sensors
Winterwind 2012, Skellefteå/SE
Intelligent load control for heated wind measurement sensors
Winterwind 2012, Skellefteå/SE
Intelligent load control for heated wind measurement sensors
Winterwind 2012, Skellefteå/SE
Resulting Energy Demand
Scenario Solution regarding heating control Used settings Energy Consumption
1 Standard sensor algorithm ≤ 2°C 100%
2 Comparison heated/unheated sensor ∆vmed > 2 m/s 29%
3 Relative humidity und temperature ≥ 90%; ≤ 1°C 55%
Intelligent load control for heated wind measurement sensors
Winterwind 2012, Skellefteå/SE
Considerations regarding heating demand
• Theoretically, heating of wind measurement sensors is only necessary during meteorological icing periods
• In case of external power supply units – Which energy consumption do we have? – How much energy is available? – Which data availability do I want to achieve?
• Importance of an advanced load control management
• Possible approaches: – Info from webcam, difference betw. heated and unh. sensor not available – Synoptic considerations (equivalent to meteorological icing)
• Overestimation of icing periods, but still ~ 50% saving of energy
– In future - ice detector: current obstacles (350 W heating demand, costs)
Intelligent load control for heated wind measurement sensors
Winterwind 2012, Skellefteå/SE
01 Wind Energy in Austria
02 Test Rig Schareck / Großglockner
03 Wind Measurement Brenner
Intelligent load control for heated wind measurement sensors
Winterwind 2012, Skellefteå/SE
Wind farm Brenner • 2.100 – 2.200m above sea level • 600 W/m2 at hub height (estimated)
• 40 days per year icing (estimated)
• 19 Wind turbines approved (LTW70 – 2.0 MW)
Wind Farm Brenner
Intelligent load control for heated wind measurement sensors
Winterwind 2012, Skellefteå/SE
Windmessung Steinjoch - 50 m
LIDAR 01 - Steinjoch
LIDAR 02 - Kreuzjoch
LIDAR 03 - Sattelberg
Measurement concept
Intelligent load control for heated wind measurement sensors
Winterwind 2012, Skellefteå/SE
Wind measurement mast Steinjoch
Energiewerkstatt offered: 50m Mast with heated ultrasonic anemometer
External power supply system; 97% data availability
Intelligent load control for heated wind measurement sensors
Winterwind 2012, Skellefteå/SE
Power demand Ultrasonic: 250 W (periodically) Power demand LIDAR: 40 W (100 W) (continuously) Technical specification: PV generator: 4 x 180 W Wind generator: 2,40 m diameter / 900 W Fuel cell: 300 W (as backup) Hydrogen store: 6 bottles à 50 litres Battery storage: 600 Ah / c100 Data storage: Ammonit Meteo 32 Dimensions: 1.10 / 2.20 / 1.80 Operat. control: EMS Energy
management system
External power supply system
Intelligent load control for heated wind measurement sensors
Winterwind 2012, Skellefteå/SE
Controlling of the system • Load management: Managing the
power demand of the sensors according to the actual conditions
• Production management: Intelligent interplay of the components
• Thermal management: Intelligent provision of the required thermal conditions (for battery pack and fuel cell)
• Provision of a remote control system, which allows permanent control and a remote changing of the settings
Energy management system
Intelligent load control for heated wind measurement sensors
Winterwind 2012, Skellefteå/SE
Experience from first months
Extreme conditions • Mean wind speed: 12 m/s in 23 m height • Wind gusts (10min mean): > 30 m/s • Ice accretion: Up to 8 cm (all-round)
Evaluation of 1 ½ months • Surplus of ~30% • No demand for FC (only self consumption) • Data availability of ~97%
Intelligent load control for heated wind measurement sensors
Winterwind 2012, Skellefteå/SE
Intelligent load control for heated wind measurement sensors
Thanks for your attention!