wind and water power program
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WIND AND WATER POWER PROGRAM. Stan Calvert. Resource Characterization Lead Wind and Water Power Program U.S. Department of Energy [email protected]. December 15, 2011. Offshore Renewable Energy Resource Assessment and Design Conditions - Overview of Federal Strategy and Progress . - PowerPoint PPT PresentationTRANSCRIPT
1 | Wind and Water Power Program eere.energy.gov
WIND AND WATER POWER PROGRAM
Offshore Renewable Energy Resource Assessment and Design Conditions - Overview of Federal Strategy and Progress
Stan CalvertResource Characterization LeadWind and Water Power ProgramU.S. Department of [email protected] 15, 2011
2 | Wind and Water Power Program eere.energy.gov
FY12 Budget $26.7M $27.2M $22.4M $3.7M Total% of Program
Portfolio 33.4% 34.1% 27.9% 4.6% $80.0
VI. Deployment (Supply Chain, Permitting, LCOE Analysis) $3.6M
SBIR $1.3M
Wind Program FY12 RDD&D Breakdown
EERE Reserve $1.5M
I. Wind Turbine Capital Cost and Performance (TCC/AEP) $18.3M
II. Wind Plant Cost and Performance (BOS/AEP) $8.5M
III. Wind Plant Reliability ((O&M+LRC)/AEP) $9.8M
IV. Deployment Barriers affecting Cost (access to m/s) $14.5M
V. System Validation (Demonstrations) $22.5M
3 | Wind and Water Power Program eere.energy.gov
FY12 Budget $5.1 M $15.3 M $7.1 M $6.5 M Total% of Program
Portfolio 15% 45% 21% 19% $34M
1.0 Marine & Hydrokinetic (MHK) Technology Development
Water Power Program FY12 RDD&D Breakdown
1.0 $16.1 M
2.0 MHK Market Acceleration $2.5 M
$10.8 M
4.0 CH Market Acceleration $1.9 M
$2.7 M
2.0 MHK Market Acceleration
3.0 Conventional Hydropower (CH) Technology Development & Deployment
5.0 HQ & Programmatic Support (includes SBIR/STTR)
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• Resource and design info needs are wide ranging and include weather, wind, waves, currents and geophysical
• Implications for structural design, project layout, performance, project access & availability, etc.
• Measurements & modeling are both needed
• Extremes and fatigue are both important
• Extreme load analysis must consider operating characteristics of turbine, not just joint probability distributions of external events (i.e., wind & waves)
Overview
Source: NREL
5 | Wind and Water Power Program eere.energy.gov
Department of Energy (DOE) - EERE
Department of Interior (DOE) – BOEM/BSEE
National Oceanic and Atmospheric
Administration (NOAA)
Interagency Partnerships
MOU: Coordinated Deployment of Offshore Wind and Marine and Hydrokinetic Energy Technologies on the
U.S. OCS
Interagency Working Group on Resource Assessment and Design Conditions (RADC)
DOE, BOEM, NOAA, Navy, DoD, ACE, NASA, NSF, OSTP
Input for Planning DocumentsGaps Analysis and Roadmap
MOU: Weather-Dependent and Oceanic Renewable
Energy Resource Characterization
DOE-NOAA Action Plan:Wind (land-based & offshore), Water (MHK primarily), Solar
Wind Forecasting Improvement Project
(WFIP)How observations can
improve short-term forecasting (land-based)
6 | Wind and Water Power Program eere.energy.gov
• Design Standards– IEC 61400-3 Part 3 (Offshore Wind
turbines)
• RADC Workshop, Washington D.C. June 2011
• Experts input from industry, national labs and other agencies
• Gaps Analysis near complete
• Next: Develop roadmap to address gaps
Key Input for Public/Private Data Campaign
Gaps Analysis
Information-gathering meeting
Expert Contributions
Existing Design
Standards
Roadmap/Public
Planning
7 | Wind and Water Power Program eere.energy.gov
• Wind Energy– Long-term frequency distributions near
surface– Long-term observations at hub height– In-situ measurements at hub height– Vertical wind profiles– Downstream wind speeds at hub heights (i.e.
wake effects)– Turbulence intensity at hub height
• Marine Hydrokinetic (MHK) Energy– Current velocity distributions– Wave climatologies– Long-term subsurface turbulence
observations– Long-term current shear observations
• Across both technologies– Wind/Wave coupling
• Wind speed/wave height distributions• Wind direction/wave height distributions
– Extreme events• Ice, lightning, hurricanes, earthquakes
Gaps Analysis: Summary of Gaps
Mea
sure
men
t
Modeling
Historical Referencing
Resource Assessment
Resource Assessment
http://cleantechnica-com.wpengine.netdna-cdn.com
/files/2008/04/towerjpg1.jpeg
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• Current ocean observation systems focus on a few meters above the sea surface to the ocean floor – Very few measurements currently taken at heights needed for wind
technology
• Technology improvements for ocean observation systems– What technologies can we began designing/employing now to gather
data that will be needed in the future?
• Frequency distributions needed require long-term observations– Methods needed for confident extrapolation of available data sources to
address needs in nearer term– Define longer-term data and observations needed
• Spatial distribution of observations– How should we deploy ocean observation systems spatially to gather
information across a broader region?
Ocean Observation Challenges
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Awardee Project Title Topic
AWS Truepower, LLC
National Offshore Wind Energy Resource and Design Data Campaign – Analysis and Collaboration
Wind resource assessment data inventory/clearing house
UCAR Impacts of Stratification and Non-Equilibrium Winds and Waves on Hub-Height Winds
Hub height extrapolation of wind speeds
UCAR Investigating Marine Boundary Layer Parameterizations by Combining Observations with Models via State Estimation
Marine boundary layer modeling
SUNY Wind Modeling Project – Offshore Boundary Layer Characterization
Marine boundary layer modeling
Indiana University
An integrated approach to offshore wind energy assessment: Great Lakes 3D Wind Experiment
Marine boundary layer modeling
Stevens Institute
Field Evaluation and Validation of Remote Wind Sensing Technologies: Shore-based and buoy-mounted Lidar systems
Advancing remote wind sensing technologies
Projects
Recently Funded DOE Offshore Wind Resource Assessment Projects
Source: http://www.morpheus.umd.edu/research/systems/skywalker.html
10 | Wind and Water Power Program eere.energy.gov
Awardee Project Title Topic
NREL Coupled Wind/Wave Simulation Models to Characterize Hurricane Load Cases
Hurricanes/extreme events
SRNL Advanced Technology for Improving the Design Basis of Offshore Wind Energy Systems
Breaking waves
University of Michigan
Measurement and Analysis of Extreme Wave and Ice Actions in the GreatLakes for Offshore Wind Platform Design
Ice climatology and loading
University of Michigan
Bottom Fixed Platform Dynamics Models Assessing Surface Ice Interactions for Transitional Depth Structures in the Great Lakes
Ice load structural modeling
NREL Simulator for Offshore Wind Plant Applications (SOWPA)
Wake effects
University of Minnesota
High-resolution computational algorithms for simulating offshore wind turbines andfarms: Model development and validation
Wake effects
Penn State University
A HPC “Cyber Wind Facility” Incorporating Fully-Coupled CFD/CSD for Turbine-Platform-Wake Interactions with the Atmosphere and Ocean
Wake effects
Projects
Recently Funded DOE Offshore Wind Design Conditions Projects
Source: http://www.marin.nl/web/Events/Events-2010/Presentations-Offshore-Wind-Seminar-2010.htm
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Awardee Project Title Topic/Link
EPRI(Complete)
Mapping and Assessment of the United States Wave Energy Resource Wave Energy Assessment - http://maps.nrel.gov/mhk_atlas*
Georgia Tech(Complete)
Assessment of Energy Production Potential from Tidal Streams in the US Tidal stream energy assessment - http://www.tidalstreampower.gatech.edu/
Lockheed Martin(Q2 FY12)
Ocean Thermal Extractable Energy Visualization Ocean thermal assessment
Georgia Tech(Q1 FY13)
Energy Production Potential from Ocean Currents along the United States Coastline
Ocean current energy assessment
Projects
Marine Resource Assessment Projects
* Preliminary, subject to change
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Projects
Awardee/Funding Agency Project Title Topic
Virginia Tech/DOI-BSEE Development of an Integrated Extreme Wind, Wave, Current, and Water Level Climatology to Support Standards-Based Design of Offshore Wind Projects
Hurricane modeling data for wind speed applications
University of Massachusetts-Dartmouth/DOI-BOEM
Roadmap: Technologies for Cost Effective, Spatial Resource Assessments for Offshore Renewable Energy
Evaluation of techniques for remote sensing technologies offshore
American Bureau of Shipping (ABS)/DOI-BSEE (Complete)
Design Standards for Offshore Wind Farms Breaking waves
University of Delaware/DOI-BOEM
Prediction of Wind Energy Resources on the Outer Continental Shelf with Weather Models
Long-term resource assessment on OCS
Grand Valley State University/DOE
LIDAR Wind Measurement Validation Study Great Lakes buoy-mounted Lidar field campaign
WindLogics LLC & AWS Truepower/DOE & NOAA
Wind Forecasting Improvement Project (WFIP) Short-term wind forecasting improvements (land-based wind)
Other Related Projects
13 | Wind and Water Power Program eere.energy.gov
• RFORE Concept– Retrofit existing offshore platform
with met tower– Acquire in-situ measurements at
hub height (75m+)– Validate remote sensing
technologies (SODAR/LIDAR) in offshore environment
• Studies– VOWDA Report, Dec 2011,
Updated: Oct. 2011– Met Tower Structural Feasibility,
Aug 2011
• Current Efforts– Flow distortion study– Proposing MOA between DOE,
Commonwealth of VA and USCG
Reference Facility for Offshore Renewable Energy (RFORE)
14 | Wind and Water Power Program eere.energy.gov
Questions?
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Back-up Slides
Back-up Slides
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• Wave: EPRI, end of FY 2008• Tidal: Georgia Tech, end of FY 2008• Ocean Current: Georgia Tech, end of
FY 2009• Ocean Thermal: Lockheed Martin, end
of FY 2009
• Determine maximum extractable energy (theoretical limit)• Calculate technically extractable energy• Characterize seasonal variability of resources• Display results in GIS formatted database
Goals for Resource Assessments
Marine Resource Assessment Awards:
Resource Assessments Underway
17 | Wind and Water Power Program eere.energy.gov
Wave Resource Assessment
Wave Energy is the dominant MHK resource available to the United States≈ 900+ GW (≈ 9+ Quads or 2,640 TWh/year) Physical Potential
≈ 400 GW (≈ 4 Quads or 1,170 TWh/year) Extractable
18 | Wind and Water Power Program eere.energy.gov
Tidal Resource Assessment
CONUS tidal resources are concentrated and
exist in close proximity to major coastal load
centers…
However, over 90% of the overall resource is
located in Alaska.
Tidal power can likely provide less than 1
Quad (≈ 293 TWh/year) of energy annually