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1 | Program Name or Ancillary Text eere.energy.gov Water Power Peer Review Benchmark Modeling of the Near-field and Far-field Wave Effects of Wave Energy Arrays Ken Rhinefrank [Columbia Power Technologies, Inc.] [[email protected]] [November 2, 2011]

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Page 1: 1 | Program Name or Ancillary Texteere.energy.gov Water Power Peer Review Benchmark Modeling of the Near- field and Far-field Wave Effects of Wave Energy

1 | Program Name or Ancillary Text eere.energy.gov

Water Power Peer Review

Benchmark Modeling of the Near-field and Far-field Wave Effects of Wave Energy Arrays

Ken Rhinefrank

[Columbia Power Technologies, Inc.][[email protected]][November 2, 2011]

Page 2: 1 | Program Name or Ancillary Texteere.energy.gov Water Power Peer Review Benchmark Modeling of the Near- field and Far-field Wave Effects of Wave Energy

2 | Program Name or Ancillary Text eere.energy.gov

Water Power Peer Review

Benchmark Modeling of the Near-field and Far-field Wave Effects of Wave Energy Arrays

Ken Rhinefrank

[Columbia Power Technologies, Inc.][[email protected]][November 2, 2011]

Project Team

Columbia Power TechnologiesKen Rhinefrank

Pukha Lenee-Bluhm

Erik Hammagren

Oregon State UniversityMerrick Haller

Tuba Oskan-Haller

Aaron Porter

Page 3: 1 | Program Name or Ancillary Texteere.energy.gov Water Power Peer Review Benchmark Modeling of the Near- field and Far-field Wave Effects of Wave Energy

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Purpose, Objectives, & Integration

• Numerous environmental uncertainties exist with wave energy converter designs. Such uncertainties can concern stakeholders and can to lead to a lengthy and expensive permitting process. One such concern is potential changes to the shoreline that may be caused by wave field modification induced by WEC devices.

• Numerical wave prediction models that have been thoroughly validated with detailed observations can be used to show expected physical impacts at considered sites. For example, the validated model will enable us to assess ways to mitigate any unwanted effects through modifications in the array design.

Page 4: 1 | Program Name or Ancillary Texteere.energy.gov Water Power Peer Review Benchmark Modeling of the Near- field and Far-field Wave Effects of Wave Energy

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Technical Approach

Project Objectives

1. Collection of a benchmark data set for testing numerical models of wave-structure interaction

2. Development of a predictive understanding of the effects of an array of wave energy converters on the wave conditions.

3. Develop a methodology for estimating the potential for arrays of wave energy converters to change the near-shore current and sediment transport patterns.

Page 5: 1 | Program Name or Ancillary Texteere.energy.gov Water Power Peer Review Benchmark Modeling of the Near- field and Far-field Wave Effects of Wave Energy

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Technical Approach

Key project issues and approachThe technical approach involves experimental design, setup, and testing at 1:33 scale. It also involves the development and validation of a numerical model and comparison of the numerical model with experimental results. This approach includes the following tasks

1. Experimental setup

2. Design & construction of 1:33 scale WEC array

3. Experimental tank testing of three different array configurations

4. Develop numerical model

5. Model/data comparisons

6. Develop validated parameterizations for WEC

Page 6: 1 | Program Name or Ancillary Texteere.energy.gov Water Power Peer Review Benchmark Modeling of the Near- field and Far-field Wave Effects of Wave Energy

6 | Wind and Water Power Program eere.energy.gov

Offshore array

Wavemaker

Near-field arrayFar-field array

Technical Approach

1. Experimental setup

2. Design & construction of 1:33 scale WEC array

WEC array(Manta-33)

Page 7: 1 | Program Name or Ancillary Texteere.energy.gov Water Power Peer Review Benchmark Modeling of the Near- field and Far-field Wave Effects of Wave Energy

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Technical Approach

3. Experimental Tank Testing

Page 8: 1 | Program Name or Ancillary Texteere.energy.gov Water Power Peer Review Benchmark Modeling of the Near- field and Far-field Wave Effects of Wave Energy

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Technical Approach

4. Develop Numerical Model

SWAN modeling at lab scale

Lab data SWAN output

Page 9: 1 | Program Name or Ancillary Texteere.energy.gov Water Power Peer Review Benchmark Modeling of the Near- field and Far-field Wave Effects of Wave Energy

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Technical Approach

5. Model/Data Comparisons

Measured offshore and lee wave Power

Page 10: 1 | Program Name or Ancillary Texteere.energy.gov Water Power Peer Review Benchmark Modeling of the Near- field and Far-field Wave Effects of Wave Energy

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Technical Approach

5. Model/Data Comparisons

Preliminary Investigation Measured WEC Power vs. Measured Wave Power Loss

Page 11: 1 | Program Name or Ancillary Texteere.energy.gov Water Power Peer Review Benchmark Modeling of the Near- field and Far-field Wave Effects of Wave Energy

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Plan, Schedule, & Budget

Schedule

• Initiation date: January 1, 2010

• Planned completion date: December 31, 2011

– Requesting an extension to August 2012 to address the vast amounts of data that must be accurately post processed prior to finalizing the numerical models.

• Milestones

FY10 5 WEC design build test Design tank experiment Setup tank experiment and begin testing

FY11 Complete array experiment and process wave data Begin Numerical Model development

FY12 Develop Numerical Model Model Data Comparison

Page 12: 1 | Program Name or Ancillary Texteere.energy.gov Water Power Peer Review Benchmark Modeling of the Near- field and Far-field Wave Effects of Wave Energy

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Plan, Schedule, & Budget

• Go/no-go decision points -

FY12

– Confirm validity of model for public distribution

Budget:

• Remaining budget will be utilized during numerical model development

• 47% of budget utilized to date.

Budget History

FY2009 FY2010 FY2011

DOE Cost-share DOE Cost-share DOE Cost-share

0 0 $163,364 $0 $115,758 $0

Page 13: 1 | Program Name or Ancillary Texteere.energy.gov Water Power Peer Review Benchmark Modeling of the Near- field and Far-field Wave Effects of Wave Energy

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Accomplishments and Results

• Five 1:33 scale models have been designed, built and tested in the Tsunami Wave Basin

• Wave data has been post processed using proper calibration coefficients and checked for accuracy.

• Preliminary investigation of the wave buoy array effects on the near-field and far-field wave climates has been made and clear indicators of energy absorption exist.

• The remainder of the project will further develop and validate the numerical models that describe these affects on the wave climate.

Page 14: 1 | Program Name or Ancillary Texteere.energy.gov Water Power Peer Review Benchmark Modeling of the Near- field and Far-field Wave Effects of Wave Energy

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Challenges to Date

Quality control of hydrodynamic data has been challengingCauses: • Wave gauge calibration shift over testing period (Time-varying calibration coefficients)

due to ionization changes in the water body.• Organizational structure of the dataset remains a challenge, owing to the sheer

number of different permutations that were tested.• A large percentage (>90%) of the collected data has passed quality control.

Solutions:• Comparing the outputs of an ultrasonic wave gauge and a collocated resistance wire

wave gauge at a number of points in time, a time varying calibration coefficient function was developed.

• Continue to scrutinize, understand and process data.

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Challenges to Date

Different damping characteristics of the individual WECs

Causes: • Mechanical variation of damper over the test period

Solutions:• An additional round of testing was performed to fully characterize each WEC• Characterize dampers pre and post testing• Treat each WEC as a heterogeneous point absorber rather than all the same

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Challenges to Date

Optical clarity issues degrading the stereo-video observations

Causes: • Clear water

Solution:• Pressurized particle seeding gun was built to launch seed material into the basin

Tank resonant modes under some conditionsCauses: • Reflection from beach and side walls

Solution:• Presently being analyzed.• None-Would require substantial investment in beach and side wall energy absorption.

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Next Steps

Develop Numerical Model

Model/Data Comparisons

Final report