The Application of High Frequency Radar for Mapping Offshore Wind Resources

8/3/2019 The Application of High Frequency Radar for Mapping Offshore Wind Resources

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The Application of

High FrequencyRadar for Mapping

Offshore Wind

Resources

October 27, 2011

New Brunswick, NJ

Dr. Hugh Roarty


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Vessels -

SatelliteSatellite

Ships/Vessels

REMUS

Modelin

gLeadership

CODARGlider

DataVis.Securi

tyEducation

HF RadarNetwork

Glider FleetL-Band & X-Band SatelliteReceivers

3-D Nowcasts& Forecasts

Rutgers University - Coastal Ocean

Observation Lab


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Computer and Monitor Transmitter

Receiver

Components of a High Frequency (HF) RADAR system

monopole (A3)

radial whips

loop box

(A1 & A2)

receive antenna

loop 1 (A1) loop 2 (A2)

loop box

Transmit Antenna

Receive Antenna

electronics

Frequency Dependent Range,

Resolution & Vessel Size


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Nested Grids of Hourly Surface Current Maps ^

High Frequency Radar Since 1996

Combined CODAR & Satellite Products >

Corporate Partner:

CODAR Ocean Sensors

14 Long-Range

7 Medium-Range

14 Short-Range

35 Total CODARs


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Applications


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U.S. Coast Guard: Search And Rescue Optimal Planning System SAROPS

Mid-Atlantic Operational Data Flow to SAROPS SAROPS User Interface


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Ecological Decision Support Fisheries

Our Approach:

Develop statistical models using

bottom trawl surveys andMARACOOS 3-D data to

predict species distribution

based on observed or forecasted

MARACOOS 3-D fields.

+

Downwelling UpwellingDownwelling Upwelling

Like

Upwelling

Hate

Downwelling

Convergent

Divergent


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Water Quality Nearshore Currents

Nearshore currents derived from single

site radial currents track the movement

of water quality constituents within 3

km of the beach.

Alongshore Current


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State of New JerseyNew Jersey Board of Public Utilities (NJBPU)

An Advanced Atmosphere/Ocean Assessment Program:

Reducing the Risks Associated with Offshore Wind EnergyDevelopment

As Defined by The NJ Energy Master Plan andThe NJ Offshore Wind Energy Economic Development Act

Principal Investigators: Scott Glenn, Sc.D. and Rich Dunk, Ph.D., CCMTeam Members:Josh Kohut, Louis Bowers, Greg Seroka, John Kerfoot, Lisa

Ojanen, Ethan Handel

Hi-Res WeatherModel

SpatialValidation Data

Wind PowerStatistics


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Future Medium

Range Network

13 MHz

Range ~ 80 km

Resolution 2 km


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13 MHz Tx/Rx

Antenna

Single antenna at 13

MHz

Transmit and Receive

Radial whips nolonger needed

Possible to install with

no guy wires andsmall base


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Deployed August 11, 2011


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Physics-based numerical computer model

that provided preliminary estimates of the

annual average wind using their proprietary

MesoMap system.


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Rotate wind vectors according to complex correlation Calculate the slope and intercept of best fit line

U'c(x,y,t) = slope(x,y)*W'(t)

HF Radar Derived Linear Wind Model

Wind Transient [W'] (cm/s)

Cu

rrentTransient[U']

(cm/s)

Ecological baseline


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Ecological baselinestudies of offshore windpower alreadyperformed

Avian species Fisheries Marine Mammals Sea turtles

This project willperform physical

baseline study


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Total WindCapacity

OffshoreWind

Capacity

PlannedCapacity

UnitedStates

42 GW 0.0 GW 54 GW by 2020

China 42 GW 0.1 GW 5 GW by 2015

30 GW by 2020

EuropeanUnion

84 GW 3.0 GW* 6 GW by 2011

19 GW fully

consented

*9 Countries, 1100 turbines


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U.S. National HF Radar Network

Data Flow

Since 2007

Todays

Coverage

131 Radars

2004 Plan


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European HF Radar Installations 2011


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Conclusions

Rutgers is measuring the ocean 24/7

HF Radar network can provide validation

of atmospheric models and spatial maps

of wind resource off NJ

Lessons learned from this project can be

exported to the nation and the world

Documents

The Application of High Frequency Radar for Mapping Offshore Wind Resources