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Analyzing Offshore Wind Risks to Support NJ's Energy Plan and Regulations

This project aims to develop innovative analytical and predictive models to effectively reduce risks associated with offshore wind development. The focus includes addressing wind resource variability, energy transmission/distribution reliability, environmental/health impacts, and educational/economic development incentives. The project utilizes various atmospheric/oceanic analyses and predictions to support New Jersey's energy master plan and associated offshore wind renewable energy regulations.

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Analyzing Offshore Wind Risks to Support NJ's Energy Plan and Regulations

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  1. Atmospheric/Oceanic Analyses and Predictions to Support NJ’s Energy Master Plan and Associated Offshore Wind (OSW) Renewable Energy RegulationsInnovative Analytical/Predictive Modeling Applications that will Cost-Effectively Reduce the “Risks” Associated with Offshore Wind Development Issues Including Wind Resource Variability, Energy Transmission/Distribution Reliability, Environmental/Health Impact, and Educational/Economic Development Incentives

  2. Domain and WTG Size 6 MW WTG South Zone North Zone

  3. Generic Power Curve – 6 MW WTG

  4. 3000 MW 1998 MW 1098 MW

  5. Hypothetical WTG Array Showing 10D X12D Spacing with a “Staggard” CHypothetical WTG Array Showing 10D X12D Spacing with a “Staggard” Configuration to Account for Prevailing Winds along with the effects of the Sea breeze Circulationonfigurationto Account for Prevailing Winds along with the effects of the Sea breeze Circulation

  6. Coastal/Offshore Wind Monitoring Meteorological Tower Meteorological Buoy Offshore vertical LIDAR Coastal/Offshore Scanning LIDAR Infrared Satellite Coastal Radar (CODAR)

  7. Chesapeake Light Tower Current Future

  8. Local Wind Resource Perturbations Sea breeze and local wind analyses

  9. Hourly Wind Energy Production Data Provided to RU CEEEP

  10. Combine Ru IMCS/CEEEP Modeling Programs Couple/automate data transfer flow 3. PJM Energy UC & Dispatch (Dayzer) CEEEP 1. Hourly Wind Speeds IMCS 2. Hourly Wind Turbine Energy Production (MWh) IMCS Other Inputs: Turbine size, manufacturer and power curve (relationship between wind speed (and other factors?) and power production) Turbine location and wake effect Size of wind farm (MW) Injection point(s) into electricity grid (radial and with AWC)

  11. Proposed Modeling/Monitoring Enhancements Modeling/Monitoring Upgrades SODAR Large-Eddy Simulation (LES) Velocity LIDAR Turbulence Intensity Kinematic Shear Stress

  12. Sandy, Oct 29-30, 2012 80 78 90 74 85 70 87 53 79 68 79 78 60 89 64 88 77 60 73

  13. Model Irene with the intensity of the September 1821 Hurricane using RUWRF Irene Wind Speed at 10m (MPH) 1821 Wind Speed at 10m (MPH)

  14. Reports, Presentations, Meetings, Conference calls Website, Presentations, Meetings Progress Reports

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