offshore renewable energy r&d in the united states · (offshore foa 3) 15 mw demonstration...
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NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC.
By Bob Thresher, NREL Research Fellow
WavEC 2014 Transatlantic Seminar:
Marine Renewable Energy
Lisbon, Portugal
9 October 2014
Offshore Renewable Energy R&D
in the United States
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2 | Energy Efficiency & Renewable Energy eere.energy.gov
• Prove technical credibility and optimize performance
through technology advancement and demonstration
• Strengthen MHK device quality and rigor through
comprehensive testing infrastructure and
instrumentation
• Quantify operating conditions and reduce siting risk
through resource characterization
• Boost investor confidence and reduce regulatory
barriers through addressing a wide range of
environmental and market barriers.
DOE Marine Hydrokinetic Strategic Objectives M
ark
et
Accele
rati
on
Tech
no
log
y D
evel
op
men
t
DOE aims to compress technology development timelines with the goal of
reducing the LCOE for MHK devices to local coastal hurdle rates of 12-15
cents per kilowatt hour (kWh) by 2030.
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U.S. Wave Energy Resource Maps
http://maps.nrel.gov/re_atlas
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Wave Energy Simulator: WEC-Sim
• Each module simulates a different physical phenomena
• WEC-Sim is MATLAB/SimMechanics based and was released in open-source format in June, 2014 at GitHub through OpenEI: http://en.openei.org/wiki/WEC-Sim
• WEC-Sim is being developed by NREL and Sandia and through code competitions
WEC-Sim is a series of coupled code modules
that run in concert to simulate WEC dynamics
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Accomplishments & Progress
http://en.openei.org/wiki/WEC-Sim
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Power Performance Estimate
• Numerical Model: WEC-Sim
• Mechanical-to-Electrical conversion efficiency: 82%
• Capacity factor: 30%
• Averaged electrical power output: 108 kW
• Rated power: 360 kW
• Annual energy production: 882 kW o 98% transmission efficiency
o 95% device availability
RatedPower
360.0
Efficiency
82.18%
4.5 5.5 6.5 7.5 8.5 9.5 10.5 11.5 12.5 13.5 14.5 15.5 16.5 17.50.75 12 17 19 21 23 22 21 19 19 17 16 14 13 121.25 32 41 45 48 52 49 45 42 40 36 35 32 29 271.75 58 72 77 82 87 81 74 70 67 60 58 53 49 45
2.25 91 110 116 119 127 117 108 102 97 86 83 76 71 652.75 131 155 160 163 172 159 145 138 130 116 110 101 95 873.25 175 204 209 210 221 203 186 176 166 148 140 130 121 1103.75 224 259 262 262 272 250 228 215 205 183 173 160 148 1354.25 277 317 319 316 327 299 272 257 246 220 207 192 177 1624.75 335 360 360 360 360 349 317 302 288 259 243 225 209 1905.25 360 360 360 360 360 360 360 349 333 299 280 261 242 2205.75 360 360 360 360 360 360 360 360 360 340 319 299 276 251
5.2 6.4 7.5 8.7 9.9 11.0 12.2 13.3 14.5 15.7 16.8 18.0 19.1 20.3
EnergyPeriod,Te[sec]
Significan
tWaveHeight,Hs[m
]
PeakPeriod,Tp[sec]
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DOE Reference Model Project The U.S. Department of Energy’s (DOE’s) Water Power Program established the Reference Model (RM) Project to: • Gauge the status of the technology and its readiness and potential cost • identify areas where additional research could best be applied • http://energy.sandia.gov/?page_id=16794
RM5 - Oscillating Surge Wave Energy Converter NREL Design
RM6 - Oscillating Water Column Sandia design
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Reference Model Project Modeling & Testing Reference Model 1
Tidal Turbine Reference Model 3
Point Absorber
Heave Response Experimental versus CFD
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Sandia Technology R&D WEC Arrays
Experimental Validation Simulation
Axial Velocity
Variance (8cm)
Oscillating Water Column
Dynamic Analysis
Cry
sta
l V
iole
t A
bso
rba
nce
(6
00
nm
)
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
Control 258 1229A 1230A 1230B T2 PU 700 900
Materials and Coatings Composite Material Water Absorption Anti-Biofouling Effectiveness
Reference Models
Design and Analysis Tidal Turbine
Device Design and Analysis Performance and Acoustics Experimental Validation
High-Fidelity Simulation
Device Performance
via CFD
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Sandia Environmental Research WEC Array Modeling
Effects on Wave Propagation, Circulation, and Sediment Dynamics
HydroKinetic Turbines Performance and Water Operations
CEC Array Modeling Cobscook Bay Array Optimization
Acoustics Modeling MHK Sound Generation and Propagation
Sediment Stability Maps Erosion potential after 10 years
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PNNL MHK Environmental Research: Knowledge Management System
Schematic of Tethys relationship with analysis
tools (represented by ERES) & stakeholders
Challenge: Organize & make available information on environmental effects of MHK development
Approach: Knowledge Management System, publically available & easily accessible
Outcome: Shared knowledge to accelerate siting & permitting
http://mhk.pnnl.gov/wiki/index.php/Tethys_Home
Courtesy of Jennifer States
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PNNL MHK Environmental Research:
Mitigating Risk to Endangered Species
Outcome: The models show that harm to the SRKW would be minimal or equivalent to a bruise. NOAA Fisheries is evaluating the information; Snohomish PUD has filed for a final license application with FERC.
Severity of Strike Analysis
Challenge: Risk to SRKW from tidal turbines is a major barrier to
permitting tidal power development in Puget Sound.
Technical Approach: PNNL and Sandia National Laboratories
modeled the forces caused by a turbine blade striking a SRKW and
evaluated potential damage to the whale.
Courtesy of Jennifer States
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13 | Energy Efficiency & Renewable Energy eere.energy.gov
Recent DOE Marine Energy Initiatives
Administration of the Wave Energy Converter (WEC) Prize
MHK Demonstrations at the Navy Wave Energy Test Site
WEC Prize competition will enable game-changing
performance enhancements to WEC devices, and
establish a pathway for sweeping cost reductions at a
commercial scale
Wave Tank Facility at Carderock
Testing, evaluation, and comparison of two close to full-
scale wave energy conversion (WEC) systems at the
Navy’s WETS.
To apply to these FOAs, Applicants must register with and submit application materials through:
https://eere-Exchange.energy.gov
Navy WETS at Kaneohe, HI
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14 | Energy Efficiency & Renewable Energy eere.energy.gov
Demonstrate Next-
Generation Designs
(Offshore FOA 3)
Demonstration Project
Partnerships with 50% Cost Share
DOE Offshore Wind R&D
1) Reducing the cost of energy through technology development
2) Reducing deployment timelines and uncertainties
Two Critical Objectives
$70M
World-Class Test Facilities
(ARRA Projects)
Clemson
15 MW
Dynamometer
Massachusetts
Large Blade Test
Facility
(to 90m)
$16.5M $7.5M $26.5M $168M
Next Generation Drivetrain
R&D
(Tech. Viability FOA)
Aggressively
Targets Key Cost
Components
Removing Market Barriers
(Offshore FOA 1)
Siting and
Permitting
Infrastructure
Resource
Planning
Developing Innovative Technology
(Offshore FOA 2)
Computational
Tools
Turbine Design
Marine Systems
Engineering
Developed jointly by DOE and DOI
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U.S. Gross Offshore Wind Resource
4,150 GW
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The Three Major Types of Floating Turbine Technologies
Spar Semisubmersible TLP
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17 | Energy Efficiency & Renewable Energy eere.energy.gov
Offshore Wind Demonstration Projects
Floating foundation
Fixed-bottom foundation
2013: 7 awards
$4M each for 50% planning, design &
permitting
2014: Down-select to 3 projects Up to
$47M each for construction;
operational by 2017
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18 | Energy Efficiency & Renewable Energy eere.energy.gov
Floating Foundations: Principle Power WindFloat
Project Highlights
• Semi-submersible foundation
• 16 nm off Coos Bay, Oregon in
1,200 ft of water (350 m)
• Five, 6-MW Siemens turbines
• No heavy-lift vessels required –
quayside assembly, tow-out
installation and tow-in O&M
• Mooring and anchors are pre-
installed
• Dynamic electrical cable
connecting turbines together
• Potential for mass production
• 2-MW WindFloat 1 off of Portugal
since 2012
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19 | Energy Efficiency & Renewable Energy eere.energy.gov
National Labs & Universities Subject Matter Expertise
Project Planning R&D Execution
Private Industry
R&D Execution Operational Expertise
End User Requirements Access to Operating Plants
Other Fed Agencies Leverage Strategic Programs Access to HPC Core Competencies Subject Matter Expertise Access to Facilities
Atmosphere to Electrons (A2e)
DOE led partnership with National Laboratories, Other Federal Agencies, Universities, Industry, and International Stakeholders
Integrated strategic research planning coordinated through lead National Labs & DOE
Research conducted by appropriate organizations
Int’l Collaboration Coordinated & Collaborative
Research Campaigns
A2e is a new, multi-year, multi-stakeholder DOE R&D initiative tasked with improving wind plant performance and mitigating risk and uncertainty to achieve substantial reductions in the cost of wind energy.
DOE Wind Program Federal Engagement & Oversight Integrated Program & Project
Management Budgetary Control
Introducing Atmosphere to Electrons (A2e)
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High Definition Wind Plant Modeling
Simulator for Offshore Wind Farm Applications (SOWFA)
• Enables Optimum Wind Plant System Design Layout
• Understanding of Fatigue Loading Due to Wake Effects
• Understanding Deep Array Effects
• Enables Optimized Wind Plant Control
Turbine Farm Array Mesoscale
Tools:
Scale:
WRF OpenFOAM FAST
SOWFA
Graphic Source: NREL
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The National Wind Technology Center
• Turbine testing since 1977
• Leader in development of
simulation tools and cost
analyses
• Unique test facilities
• Field testing
• Controls turbines
• Dynamometers
• Controllable Grid
Interface
• Energy storage
• Approx. 130 staff on-site
• Budget approx. $30M
• Many CRADAs with industry &
Gov.
• Implement DOE outreach,
workforce and education
activities
• Marine and Hydrokinetic
Technologies
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National Wind Technology Center Drivetrain Testing
Zond Z-750 GE 1.5 MW Clipper (8 Gen)
Northern 1.5 MW
Samsung 2.5 MW
NREL/DOE GRC 1&2 Northern 2.3 MW
Clipper (4 Gen)
Clipper Liberty
GEC 1.5 MW
GE 2.75 MW NREL/DOE GRC 3
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Challenges / Innovations
Development of normative
methods
Precision control
Dual axis testing
Resonant testing
Advanced blades
Sensing Resonant Dual Axis Testing
Year 1990 1995 2000 2005 2010 2015
National Wind Technology Center Blade Testing
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Thank You - Questions?
Presentation Contributors:
• Robert W. Thresher, NREL Research Fellow, [email protected]
• Alison LaBonte, USDOE
• Alana Duerr, New West Technologies, LLC
• Daniel Laird, Sandia
• Jennifer States, PNNL
• Walt Musial and Mike Robinson, NREL
• Mike Lawson and Yi-Hsiang Yu, NREL