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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
Recommended