Wave energy conversion by floating and submerged piezoelectric bimorph plates

TL;DR

This paper investigates wave energy absorption by floating and submerged piezoelectric plates, deriving equations of motion, solving them numerically, and comparing energy efficiency across different configurations and materials.

Contribution

It introduces a general modal expansion method for analyzing wave energy absorption by various piezoelectric plate configurations, including submerged and floating types.

Findings

Submerged plates absorb more energy than floating plates.

Clamped boundary conditions slightly increase energy absorption.

Numerical results compare PVDF and PZT-5H piezoelectric materials.

Abstract

Gaining insight into the interaction between flexible piezoelectric structures and ocean waves can inform the development of compact, high-efficiency wave-energy converters that harvest renewable energy from the marine environment. In this paper, the problem of wave energy absorption by floating and submerged piezoelectric plates is investigated. The equations of motion for a plate consisting of two piezoelectric layers separated by an elastic substrate are derived in dimensional form from the full piezoelectric constitutive laws. A solution using a modal expansion method is proposed, in which the component radiation and diffraction problems are reduced to hypersingular integral equations and solved numerically using a constant panel method. The method is general and can solve the equations of motion for submerged rigid, flexible elastic or flexible piezoelectric plates. Extensive numerical results for the energy absorption and efficiency are given for a range of parameters, including different piezoelectric materials: polyvinylidene fluoride (PVDF) and lead zirconate titanate (PZT-5H). Importantly, greater energy absorption is obtained for submerged plates when compared to plates floating on the surface. Furthermore, clamped boundary conditions give slightly larger energy absorption compared to the simply supported case. Our open-source code is provided at https://github.com/zjwegert/SemiAnalyticWECs.jl.