Task 10: Wave Energy Converters Modelling Verification and Validation

Start date: 2016
End date: Permanent

The intention of this task is to assess the codes currently in use globally for analysis of wave energy devices. This effort will focus on assessing the accuracy and validation process of the codes by comparing codes to codes and codes to experiments.

The validation will focus on performance, loads, and related responses for a single devices and arrays of devices operating in defined wave conditions

The objectives are the following:

1. To assess the accuracy and establish confidence in the use of numerical models.

2. To validate a ranges of existing computational modeling tools

3. Identify simulation methodologies leading to:

a. Reduce risk in technology development
b. Improved device energy capture estimates (IEC TC 102
c. Improved loads estimates
d. Reducing uncertainty in LCOE models

4. Future research and development needed to improve the computational tools and methods

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The relevant work milestones are outlined as follows:

M 1 Develop a detailed work plans for the wave simulation model verification and validation.

M 2 Preform a review of available theoretical solutions for special cases that can be used for baseline verification of computational modeling tools and experimental model scale verification.

M 3 Perform simulations to develop data for a code-to-code comparison that gives a side-by-side comparison of the simulation results.

M 4 Perform simulations to develop code-to-experiment comparisons that give a side-by-side comparison of the simulation results.

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Thework plan will include, but not be limited to the following:

1. Define verification strategies and validation practice to be used.

2. Compare analytical, experimental, and numerical results. 

3. Developing and identifying suitable analytical models of wave energy converters for verification of the numerical models

4. Developing or identifying base line test cases that can be used for a first comparison between simulations in relation to a limited suite of experimental test cases for validation based on available experimental data. Selecting a limited number of test cases and performing simulations

5. Analyze the simulation results based on the metrics. Develop a simple comparison charts for validation purposes. Compare and evaluate the numerical simulation results in a side-by-side fashion and compare and evaluate the simulation results with respect to experimental data in a side-by-side fashion using the metrics developed

6. Discussing the need, practicality and cost of obtaining additional experimental test data for model validation and making written recommendations to the ExCo and the technical community

7. Prepare annual progress reports in power point form for the ExCo meetings

8. Prepare technical reports and papers on the results in the public domain at conferences and in peer reviewed journals.

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