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CleverFarm The intelligent wind farm Dr. Gregor Giebel Risø National Laboratory.

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Presentation on theme: "CleverFarm The intelligent wind farm Dr. Gregor Giebel Risø National Laboratory."— Presentation transcript:

1 CleverFarm The intelligent wind farm Dr. Gregor Giebel Risø National Laboratory

2 Outline What is CleverFarm? The idea Sensors The data flow Some algorithms Further ideas

3 The system A meteorological part, i.e. on-line prediction system –Increases the economical value of wind energy in liberalised energy markets –Maintenance planning A surveillance part or sensor system –Development of a standard installation procedure and selection of sensors (vibration, video, other) –Interface to the algorithm part An algorithm part, control strategies –Automated condition monitoring and fault prediction –This is the innovative part of the project

4 Project objectives Objectives –Combine state-of-the-art techniques for optimising and enhancing the performance of wind farms –Focus on synergy, not the refinement of the individual techniques –Create an integrated system –Implement the system at a number of wind farms Why? –Minimise the number of unexpected or unscheduled wind farm stops –Many new wind farms are constructed in remote areas eg off-shore

5 Project partners Risø National Laboratory, Roskilde, Denmark SEAS, Haslev, Denmark Gram & Juhl, Haderslev, Denmark DMI (Danish Meterological Institute), Copenhagen, Denmark University of Oldenburg, Germany ISET (Institut für Solare Energieversorgungstechnik), Kassel, Germany RES (Renewable Energy Systems), London, UK

6 The general idea C LEVER F ARM manager CleverBeanCleverBean CleverBean CleverBean CleverBean CleverFarm interface ,fax, sms... DB Numerical weather prediction

7 Server architecture C LEVER F ARM manager CleverBean CleverBean CleverBean CleverBean CleverBean CleverFarm interface DB JSP

8 Stage 1 - “Information Provider” Outside World WWW WAP SMS CleverFarm software Wind Farm

9 Stage 2 - “Active Wind Farm Control” Outside World Wind Farm WWW WAP SMS CleverFarm software

10 Wind Turbine Vibration Monitoring G&J Structural movements (tower, blades) Bearings, gear, unbalance, mechanical defects Correllation with control parameters Remote operation Service optimisation Gram & Juhl ApS - Intelligent Vibration Sensors

11 The Sensors Embedded Processing –Overall level, FFT (Zoom, envelope), RPM, Cepstrum –Native scheduler –On-site upgradeable DAM-XY01 –Embedded structural monitoring –Relay output DAM-Z08 Gram & Juhl ApS - Intelligent Vibration Sensors

12 Scaleable Solution – Wind Turbine Stand-alone or Host controlled 32 sensors per network Alarm interface to WTC Gram & Juhl ApS - Intelligent Vibration Sensors

13 VibroIC sensors

14 Data access

15 Turbine camera Outside camera with pan/tilt/zoom Inside camera as simple webcam

16 OptiFarm web Video Control

17 Interface: GJDB  HTTP  OptiFarm DB Quick overview „Traffic lights“ OptiFarm web G&J CMS Integration

18 Overview over temporal development „Sonagram“ with variable alarm masks OptiFarm Web CMS Sonagram

19 Details of measured and alarm spectra Click on one line Get the full frequency spectrum and the alarm limits

20 Prediktor Bean Wind prediction for maintenance scheduling and power trading

21 Algorithms Aim: scheduling of preventive maintenance Therefore necessary: recognition of errors before they occur How?

22 Trend analysis

23 Power curve alarm limits

24 Current status One CleverFarm installation complete in SEAS offshore testbed in Nøjsomheds Odde (Lolland/DK) –Contains G&J + ISET vibration sensors in three turbines –Contains video system –Interface to Bonus SCADA system One mixed CleverFarm/OptiFarm installation in Grüppenbühren (near Bremen/DE) –G&J vibration sensors –Interface to Vestas SCADA –Video system

25 Conclusion CleverFarm is: A data protocol, wrapped in a JavaBean An intelligent SuperSCADA An autonomous wind farm supervision tool Helping with the maintenance schedule Not yet available

26 See more of it on www. CleverFarm.com !


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