Presentation is loading. Please wait.

Presentation is loading. Please wait.

Analysis of the Wind Resource off New Jersey for Offshore Wind Energy Development Hugh Roarty, Joe Riscica, Laura Palamara, Louis Bowers, Greg Seroka,

Published byKelley Jenkins Modified over 6 years ago

Similar presentations

Presentation on theme: "Analysis of the Wind Resource off New Jersey for Offshore Wind Energy Development Hugh Roarty, Joe Riscica, Laura Palamara, Louis Bowers, Greg Seroka,"— Presentation transcript:

1 Analysis of the Wind Resource off New Jersey for Offshore Wind Energy Development
Hugh Roarty, Joe Riscica, Laura Palamara, Louis Bowers, Greg Seroka, Josh Kohut, Scott Glenn and Rich Dunk

2 New Jersey Renewable Goals
23% of its energy from renewable sources by 2021 The nation’s first offshore wind renewable energy standard which requires at least 1,100 megawatts (MW) by 2021 Currently at 0.0 MW

3 An Advanced Atmosphere/Ocean Assessment Program:
State of New Jersey New Jersey Board of Public Utilities (NJBPU) An Advanced Atmosphere/Ocean Assessment Program: Reducing the Risks Associated with Offshore Wind Energy Development As Defined by The NJ Energy Master Plan and The NJ Offshore Wind Energy Economic Development Act Principal Investigators: Dr. Scott Glenn and Dr. Rich Dunk, CCM Team Members: Dr. Josh Kohut, Dr. Hugh Roarty, Louis Bowers, Greg Seroka, John Kerfoot, Laura Palamara, Mike Crowley, Ethan Handel, Colin Evans New Ocean Data Hi-Res Weather Model Spatial Validation Data Wind Power Statistics -Demonstrate variability of the offshore wind resource for designated study area by using high resolution nested atmospheric WRF model -Validate modeling efforts with existing data as well as with developer’s coastal/offshore data (scanning LIDAR, axis LIDAR, three 60m coastal met towers) -NJ sea breeze has large impact on wind resource during peak energy demand season -Sea surface temperature is a critical input variable to the atmospheric model for producing accurate wind resource assessments; RUCOOL has developed a unique technique for declouding satellite imagery to ensure that coastal upwelling and storm mixing processes can be resolved -CODAR is a unique monitoring system for detecting surface currents and the associated spatial wind variability within the study area; wave data and spatial variability of the waves from CODAR can also be used to determine surface roughness features which is an input to the atmospheric model -This work can be used as a basis for a representative forecasting/predicting program

4 Ecological baseline studies of offshore wind power already performed (shown to left)
Avian species Fisheries Marine Mammals Sea turtles This project is the physical baseline study

5 Rutgers University - Coastal Ocean Observation Lab
Operations, Research & Education Center Vessels - Satellite Satellite CODAR Ships/ Vessels Glider REMUS Data Vis. Modeling Security Leadership Education Satellite Data Acquisition Stations CODAR Network Glider Fleet 3-D Forecasts

6 CODAR Compact HF Radar Antennas
25 MHz 13 MHz 5 MHz Combined Transmitter & Receiver Separate Transmitter & Receiver

7 Shed and Enclosures monitor computer & external hard drive A.C. unit
UPS system transmitter receiver Two lines of Communication Shed Enclosure Lightning Protection

8 Surface Current Mapping Capability
25 MHz Radar l: 12 m Ocean l: 6 m Range: 30 km Resolution: 1 km 13 MHz Radar l: 23 m Ocean l: 12 m Range: 80 km Resolution: 3 km 05 MHz Radar l: 60m Ocean l: 30 m Range: 180 km Resolution: 6 km

9 13 MHz Network

10 Point Comparison

11 U'c(x,y,t) = slope(x,y)*W'(t)
HF Radar Derived Linear Wind Model Current Transient [U'] (cm/s) Wind Transient [W'] (cm/s) 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)

12 HF Radar Coverage January 23 to May 7, 2012
NDBC or WeatherFlow Wind Record HF Radar Grid Point With at Least 70% temporal coverage

13 Buoy Winds (m/s) CODAR Currents (cm/s)

14

15 September 12, 2012 Sea Breeze Event
Spatial Comparison

16 Sep 12, :00 UTC

17 Sep 12, :00 UTC

18 Sep 12, :00 UTC

19 Sep 12, :00 UTC

20 Sep 12, :00 UTC

21 Sep 12, :00 UTC Land Breeze Starts

22 Sep 12, :00 UTC

23 Sep 12, :00 UTC

24 Sep 12, :00 UTC

25 Sep 12, :00 UTC

26 Sep 12, :00 UTC

27 Sep 12, :00 UTC

28 Sep 12, :00 UTC

29 Eastern Edge of the Land Breeze
Sep 12, :00 UTC Wind Direction Eastern Edge of the Land Breeze

30 Winds rotate clockwise
Sep 12, :00 UTC Winds rotate clockwise

31 Sep 12, :00 UTC

32 Sep 12, :00 UTC Sea Breeze Starts

33 Sep 12, :00 UTC

34 Sep 12, :00 UTC

35 Winds from the Southeast
Sep 12, :00 UTC Winds from the Southeast

36 Sep 12, :00 UTC

37 Sep 12, :00 UTC

38 Sep 12, :00 UTC

39 Sep 12, :00 UTC

40 Sep 13, :00 UTC

41 Sep 12, :00 UTC Detided Current Field

42 Sep 12, :00 UTC Detided Current Field

43 Sep 12, :00 UTC Detided Current Field

44 Sep 12, :00 UTC Detided Current Field

45 Sep 12, :00 UTC Detided Current Field

46 Sep 12, :00 UTC Land Breeze Starts Detided Current Field

47 Sep 12, :00 UTC Detided Current Field

48 Sep 12, :00 UTC Detided Current Field

49 Sep 12, :00 UTC Detided Current Field

50 Sep 12, :00 UTC Detided Current Field

51 Sep 12, :00 UTC Detided Current Field

52 Sep 12, :00 UTC Detided Current Field

53 Sep 12, :00 UTC Detided Current Field

54 Eastern Edge of the Land Breeze
Sep 12, :00 UTC Wind Direction Current Direction Eastern Edge of the Land Breeze Detided Current Field

55 Winds rotate clockwise
Sep 12, :00 UTC Winds rotate clockwise Currents rotate clockwise Detided Current Field

56 Sep 12, :00 UTC Detided Current Field

57 Sep 12, :00 UTC Sea Breeze Starts Detided Current Field

58 Sep 12, :00 UTC Detided Current Field

59 Sep 12, :00 UTC Detided Current Field

60 Winds from the Southeast
Sep 12, :00 UTC Winds from the Southeast Currents to the North Detided Current Field

61 Sep 12, :00 UTC Detided Current Field

62 Sep 12, :00 UTC Detided Current Field

63 Sep 12, :00 UTC Detided Current Field

64 Sep 12, :00 UTC Detided Current Field

65 Sep 13, :00 UTC Detided Current Field

66 Questions?

Download ppt "Analysis of the Wind Resource off New Jersey for Offshore Wind Energy Development Hugh Roarty, Joe Riscica, Laura Palamara, Louis Bowers, Greg Seroka,"

Similar presentations

Coastal Ocean Impact on Hurricane Irene (2011) Intensity 1. BACKGROUND 2. HYPOTHESIS 3. OBSERVATIONS & MODEL 6. FUTURE WORK5. CONCLUSIONS 4. RESULTS Acknowledgements:

Coastal Ocean Impact on Hurricane Irene (2011) Intensity 1. BACKGROUND 2. HYPOTHESIS 3. OBSERVATIONS & MODEL 6. FUTURE WORK5. CONCLUSIONS 4. RESULTS Acknowledgements:
Success Stories – Making a Difference Optimizing HF Radar for SAR using USCG Surface Drifters Art Allen U.S. Coast Guard Josh Kohut, Scott Glenn Rutgers.

Success Stories – Making a Difference Optimizing HF Radar for SAR using USCG Surface Drifters Art Allen U.S. Coast Guard Josh Kohut, Scott Glenn Rutgers.
National Center for Secure and Resilient Maritime Commerce and Coastal Environments (CSR) CSR Scott Glenn, Hugh Roarty Rutgers University Washington DC.

National Center for Secure and Resilient Maritime Commerce and Coastal Environments (CSR) CSR Scott Glenn, Hugh Roarty Rutgers University Washington DC.
Assessment and Quantification of HF Radar Uncertainty Fearghal O’Donncha Sean McKenna Emanuele Ragnoli Teresa UpdykeHugh Roarty.

Assessment and Quantification of HF Radar Uncertainty Fearghal O’Donncha Sean McKenna Emanuele Ragnoli Teresa UpdykeHugh Roarty.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Wind and Solar Energy Estimation.

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Wind and Solar Energy Estimation.
Using Ocean Observing Systems & Real Time Data to monitor and clean up Oil Spills.

Using Ocean Observing Systems & Real Time Data to monitor and clean up Oil Spills.
Atmospheric/Oceanic Analyses and Predictions to Support the Wind Energy Development Application Process Defined in NJBPU’s Offshore Wind (OSW) Renewable.

Atmospheric/Oceanic Analyses and Predictions to Support the Wind Energy Development Application Process Defined in NJBPU’s Offshore Wind (OSW) Renewable.
Cape Cod Cape Hatteras NJ MA CT VA DE NY NC RI MD PA M ID - A TLANTIC R EGIONAL A SSOCIATION C OASTAL O CEAN O BSERVING S YSTEM 1000 km Cape to Cape RAISING.

Cape Cod Cape Hatteras NJ MA CT VA DE NY NC RI MD PA M ID - A TLANTIC R EGIONAL A SSOCIATION C OASTAL O CEAN O BSERVING S YSTEM 1000 km Cape to Cape RAISING.
Ligurian Sea Mid-Atlantic Bight Results from the Mid Atlantic High Frequency Radar Network Radar Network Hugh Roarty, Scott Glenn, Josh Kohut, Erick Rivera,

Ligurian Sea Mid-Atlantic Bight Results from the Mid Atlantic High Frequency Radar Network Radar Network Hugh Roarty, Scott Glenn, Josh Kohut, Erick Rivera,
Oceanic and Atmospheric Modeling of the Big Bend Region Steven L. Morey, Dmitry S. Dukhovksoy, Donald Van Dyke, and Eric P. Chassignet Center for Ocean.

Oceanic and Atmospheric Modeling of the Big Bend Region Steven L. Morey, Dmitry S. Dukhovksoy, Donald Van Dyke, and Eric P. Chassignet Center for Ocean.
The Hydrometeorology Testbed Network. 2 An AR-focused long-term observing network is being installed in CA as part of a MOA between CA-DWR, NOAA and Scripps.

The Hydrometeorology Testbed Network. 2 An AR-focused long-term observing network is being installed in CA as part of a MOA between CA-DWR, NOAA and Scripps.
A Survey of Existing Mid-Atlantic Regional Association Coastal Ocean Observing System MARACOOS Assets Wendell Brown UMass Dartmouth School for Marine Science.

A Survey of Existing Mid-Atlantic Regional Association Coastal Ocean Observing System MARACOOS Assets Wendell Brown UMass Dartmouth School for Marine Science.
Surface Current Mapping with High Frequency RADAR.

Surface Current Mapping with High Frequency RADAR.
Ocean Wave and Current Radars By Laura Elston. Our earth is a very aqueous environment with nearly three quarters of it covered by ocean. So how do we.

Ocean Wave and Current Radars By Laura Elston. Our earth is a very aqueous environment with nearly three quarters of it covered by ocean. So how do we.
Modeling the upper ocean response to Hurricane Igor Zhimin Ma 1, Guoqi Han 2, Brad deYoung 1 1 Memorial University 2 Fisheries and Oceans Canada.

Modeling the upper ocean response to Hurricane Igor Zhimin Ma 1, Guoqi Han 2, Brad deYoung 1 1 Memorial University 2 Fisheries and Oceans Canada.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Climatology of Hurricane.

Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Climatology of Hurricane.
AWIPS-2 HF Radar Sea-Surface Current Product By Ross Van Til Contributions by: Nicole Kurkowski, OS&T Dr. Pablo Santos, WFO Miami Dr. Jack Harlan, NOAA.

AWIPS-2 HF Radar Sea-Surface Current Product By Ross Van Til Contributions by: Nicole Kurkowski, OS&T Dr. Pablo Santos, WFO Miami Dr. Jack Harlan, NOAA.
Chapter 9: Weather Forecasting Surface weather maps 500mb weather maps Satellite Images Radar Images.

Chapter 9: Weather Forecasting Surface weather maps 500mb weather maps Satellite Images Radar Images.
Application of Radial and Elliptical Surface Current Measurements to Better Resolve Coastal Features  Robert K. Forney, Hugh Roarty, Scott Glenn 

Application of Radial and Elliptical Surface Current Measurements to Better Resolve Coastal Features  Robert K. Forney, Hugh Roarty, Scott Glenn 
Earth Systems Coupling Advanced Algorithms Worldwide Nested Applications High Performance Computing Forecast Systems User Community Advanced Data Assimilation.

Earth Systems Coupling Advanced Algorithms Worldwide Nested Applications High Performance Computing Forecast Systems User Community Advanced Data Assimilation.

Similar presentations

Ads by Google