Graduate Thesis Or Dissertation
 

Comparison and Validation of Hydrodynamic Theories for Wave Energy Converter Modelling

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/gf06g980d

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  • A wide variety of hydrodynamic theories are utilized to approximate a Wave Energy Converter’s (WEC) equation of motion. Numerous theories have been refined in order to improve numerical approximations of WEC dynamics. When incorporating refined hydrodynamic theories into numerical models, there are distinct impacts on WEC rigid body motions, cable dynamics, and final power production. This thesis focuses on understanding weakly nonlinear Froude-Krylov and hydrostatic forces, body-to-body interactions, and dynamic cable modelling have on WEC dynamics. All theories have evolved from simpler approaches and are of importance to a wide array of WEC archetypes. Each refined hydrodynamic theory is introduced and an overview of similar modeling approaches to evaluate the relative impact each theory has on the WEC is provided. This study quantifies the impact these theories have on a numerical model through the verification and validation of a particular WEC case study. Particular metrics of concern are WEC rigid body motion and cable tension. Theoretical differences are first explored in a regular sea state. Subsequently, numerical validation efforts are performed against field data following wave reconstruction techniques. Comparisons of significance are WEC rigid body motion and cable tension. It is shown that weakly nonlinear Froude-Krylov and hydrostatic force calculations significantly improves simulated WEC dynamics, for WEC surface expression dynamics increase by a maximum of 54% when included. Furthermore, dynamic cables are shown to increase tether ranges by 300% when compared to static spring cable cases. However, body-to-body interactions are not found to impact simulated WEC dynamics, and the dynamics of the surface expression are shown to vary by less than 5% when B2B interactions are incorporated into the model.
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