Catch the Wind Technical Presentation - March 2011

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    Tech Brief

    October 2010

    Catch the Wind

    VINDICATOR LASER WIND SENSORThe Future of Wind Sensing Technology

    CTW TECHNICAL PRESENTATION 2011 CATCH THE WIND INC.

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    Genesis of Catch the Wind

    Optical Air Data Systems

    (OADS) Established in 1990

    Based in Washington, DCarea

    Industry leader in fiber-optic

    pulsed LDV technology

    R&D for aerospaceapplications

    Catch the Wind, Inc.

    (CTW) Spin-off of OADS

    Listed on Toronto VentureExchange (TSX-V: CTW)

    Experienced management

    team

    CEO: Philip Rogers

    Former Special Projects

    Director at Lockheed Skunk

    Works

    Co-founder of OADS

    2010 Catch the Wind Inc.

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    The Ideal Wind Sensor

    Measures wind speed and direction at multiple distances ahead of the

    sensor location

    Can be remotely located from the measurement volume

    Measures a volume of air rather than a point measurement

    Provides real time measurement of shear, veer, and turbulence

    Easily interfaces with turbine controllers and data loggers

    Is not sensitive to the operating environment

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    Unlike gas and hydro turbines, wind turbines

    cannot expect a laminar and controlled inflow.

    Traditional anemometers such as cups,

    wind vanes, and sonics are point

    measurement devices.

    Their location on a turbine nacelle results

    in the measurement of disturbed and

    turbulent airflow.

    How Can Wind Turbines Optimally Respond

    to the Changing Inflow?

    Wind Sensing: The Traditional Approach

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    Current Method is Sub-Optimal for Turbine Control

    Current Turbine Control Methods Are Reactive

    Standard anemometry mounted at rear of nacelle measures wind speed and

    direction, after wind has passed through the rotor plane.

    This old wind information is fed into the turbine PLC for control.

    Since the nacelle anemometry is located in a disturbed flow field, the data often has

    to be significantly averaged.

    Typical transfer functions (used in some turbine PLCs) cannot account for a non-

    laminar uncontrolled in-flow of wind at all times, especially on a complex terrain.

    Often, data from stress and strain measuring devices is used to trigger turbine

    response to off-axis loading and gusts.

    Turbine response to the incoming flow field is almost always REACTIVE.

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    Increased Efficiency

    andReduced Stress

    Control

    System

    2010 Catch

    Catch the Winds Solution

    Proactive Turbine Control with VindicatorLaser Wind Sensor (LWS)

    Measure wind speed and directionin front of the wind turbine blades

    More accurate wind data from undisturbed air

    Smart control system adjusts turbine proactively

    Intelligent yaw and pitch control

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    We simultaneously sense the color change atdifferent distances ahead of the turbine and

    calculate wind speed and direction

    1

    3

    4

    Three laser beams pulse multiple times

    per second

    Vindicator LWS provides accurate look-ahead wind data for optimal

    turbine alignment and blade pitch

    2Lasers reflect off dust particles in wind and

    change color

    2

    How We See the WindLaser Doppler Velocimetry (LDV)

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    The Advantage of a Look-Ahead SensorVindicatorLWS vs. Turbine-Mounted Anemometer

    Wind Direction (relative to nacelle centerline)

    Degrees

    Jun. 30, 2010, North-American Wind Farm | Wind speeds: 4.5 to 10.5 m/s; Avg. 7.5 m/sSonic Anemometer: After-market Ultrasonic device, MEASNET-calibrated, IEC-certified

    0:10am 1:10am 2:10am 3:10am

    Measurements Differ By Up to 20 Degrees

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    Laser and Sonic Anemometer Data Comparison20 Second Averages

    Wind Direction, 20s-average, 20 minutes

    Degrees

    Time

    -40

    -30

    -20

    -10

    0

    10

    20

    30

    00:10:00 00:15:00 00:20:00 00:25:00 00:30:00

    Laser Anemometer

    Jun. 30, 2010, Wind Farm B | Wind speed: 4.5 to 10.5 m/s; Avg. 7.5 m/s

    Sonic Anemometer: after-market ultrasonic device, MEASNET-calibrated, IEC-certified

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    Difference in Wind Direction Measurements

    (Sonic Anemometer vs. Vindicator LWS)

    EXAMPLE # 1: Wind Farm in North America

    Advantage of Measuring the InflowVindicatorLWS vs. Turbine-Mounted Anemometer

    Nacelle Centerline

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    Difference in Wind Direction Measurements

    (Sonic Anemometer vs. Vindicator LWS)

    Advantage of Measuring the InflowVindicatorLWS vs. Turbine-Mounted Anemometer

    EXAMPLE # 2: Wind Farm in Europe

    Advantage of Measuring the InflowVindicatorLWS vs. Turbine-Mounted Anemometer

    Nacelle Centerline

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    VindicatorLaser Wind Sensor

    Class 1 eye-safe all fiber-optic pulsed Doppler laser

    Full motion compensation for turbine mounting as well as offshore buoy installation

    Tested under extreme conditions

    Operated in harsh marine environment & arctic temperatures

    Operating temperature: -40C to 55C Other technical data:

    Total weight: 69 kg

    External unit: 79 cm L x 43 cm D

    Power requirements:

    250 W (temp.>0C)

    450 W (temp.

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    Industry ValidationTesting and First Purchases

    Technical & environmental testing

    Wind Energy Institute of Canada (WEICan)

    National Renewable Energy Laboratory, CRADA

    Helimax (Germanischer Lloyd)

    Customer validation Nebraska Public Power District

    TransAlta

    BP Wind Energy

    enXco EDF - EN

    OEM Validation

    Gamesa

    (Anonymous first-tier manufacturer)

    Offshore buoy integration & testing

    AXYS Technologies

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    Technical Validation by Helimax

    (Germanischer Lloyd)

    Data supplied by Helimax GL, Apr. 2010

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    VindicatorControl of V-82 at NPPD

    Installed in July 2009

    Deployed and in control for

    19Months on Vestas V-82Turbine #T22 at NPPD

    Began Control Algorithm

    Optimization Program in

    July 2010

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    Field TrialsNebraska Public Power District

    Average Energy IncreaseOver 11 Months Prior to Optimization

    14%

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    NPPD: Reduced Stress Load on Critical Components

    SWANTech report

    Independent third party

    Test turbine went from worst to best with

    Vindicator LWS control

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    Preliminary Optimization Experiment Data

    Over 20% Average Energy Increase

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    Nordex N60 Data

    11.1%Average Energy

    Increase

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    -40.00

    -30.00

    -20.00

    -10.00

    0.00

    10.00

    20.00

    30.00

    40.00

    50.00

    14:10 14:15 14:20 14:25

    10min avg.

    On Average, Turbines Seem Well Aligned With the Wind

    Aug. 14, 2009, NPPD-Ainsworth, T22, Laser measurement

    Laser Wind Direction (relative to nacelle centerline)

    Degrees

    Time

    Most turbine controllers would not initiate yawing here

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    -40.00

    -30.00

    -20.00

    -10.00

    0.00

    10.00

    20.00

    30.00

    40.00

    50.00

    14:10 14:15 14:20 14:25

    10min avg. 3min avg.

    The Picture Looks Less Favorable For Shorter Time-

    Averages

    Aug. 14, 2009, NPPD-Ainsworth, T22, Laser measurement

    Laser Wind Direction (relative to nacelle centerline)

    Degrees

    Time

    Most efficiency calculations stop here

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    This is How The Wind Really Behaves

    Aug. 14, 2009, NPPD-Ainsworth, T22, Laser measurement

    Laser Wind Direction (relative to nacelle centerline)

    Degrees

    Time

    -40.00

    -30.00

    -20.00

    -10.00

    0.00

    10.00

    20.00

    30.00

    40.00

    50.00

    14:10 14:15 14:20 14:25

    10min avg. 3min avg. Observed

    Optimization potential much larger than assumed by industry

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    Average Integrated Yaw Error

    Summary of turbine yaw misalignment at trial sites

    Turbine Model Avg. Integrated Yaw Error RMS Error

    Vestas V-82 15 21

    Nordex N60 13 16

    Vestas V-82 15 19Other 2.0 MW 15 19

    Other >2.0 MW 12 17

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    Yaw Error Equals Loss of Power

    Source:

    TF Pederson, et al, "Wind Turbine Power Performance Verification in

    Complex Terrain and Wind Farms" (RISO-R-1330)

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    Power Increase Translates to Cash Flow

    Vestas 1.65 MW Clipper 2.5 MW 25

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    Increased ROI

    1. Increased Power Output

    2. Decreased OperatingCosts

    3. Longer Lifetime

    Value Created by Vindicator LWS

    PROVEN TECHNOLOGY FOR WIND FARM

    OPERATORS AND TURBINE OEMS

    Decreased cost

    per kilowatt hour

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    Summary

    Existing methodologies in wind measurement dont capture real wind characteristics:

    Measure from sub-optimal location

    Use time-averaging and transfer functions to compensate for location of measurement

    instruments in turbulent flow

    Results in significant average yaw misalignment = loss of power

    Future wind turbines need forward looking laser wind sensor data to increase

    efficiency and reduce stress loading

    Accurate and timely speed and direction of undisturbed flow

    Feed forward yaw control

    Proactive blade pitch regulation

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    Providing the wind industry better wind information forproactive, intelligent yaw and pitch control

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    Bill Fetzer

    VP, Business Development

    703-393-0754

    [email protected]

    Contact