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Multi-objective optimum design of a buoy for the resonant-type wave energy converter

Journal

JOURNAL OF MARINE SCIENCE AND TECHNOLOGY
Volume 20, Issue 1, Pages 53-63

Publisher

SPRINGER JAPAN KK
DOI: 10.1007/s00773-014-0268-z

Keywords

Resonance; Wave energy converter; Boundary element method; Multi-objective optimization; Response surface method; Captured wave ratio

Funding

  1. Human Resources Development program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) - Korea government Ministry of Trade, Industry and Energy [20094020200020]
  2. New and Renewable Energy of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) - Korea government Ministry of Trade, Industry and Energy [2010302007 0080]
  3. Korea Evaluation Institute of Industrial Technology (KEIT) [20094020200020] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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This paper deals with the resonant type of wave energy converter (WEC) and the determination method of its geometric parameters, which were obtained to construct a robust and optimal structure. The optimization problem is formulated with the objectives of simultaneously maximizing the absorbed power output, which is mainly related to optimal power take-off damping, and minimizing the production cost by the volume of the required sheet plate using a weighting method. The constraints are composed of the response surfaces that indicate the resonance period (heave, pitch) and the meta-center height of the buoy. The signal-to-noise ratio calculated from the normalized multi-objective results with the weight factor can be used to help select the robust design level. In order to obtain a sample data set, the motion responses of the power buoy were analyzed using a commercial code based on the boundary element method. We present the Pareto-optimal set to reveal the relationship between the power and the volume of a sheet plate. Lastly, the power efficiency of the WEC with the optimum design variables is estimated as the captured wave ratio resulting from the absorbed power. The result of the WEC design is economically optimal and satisfies given constraints.

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