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Optimization of Shape and Control of...

Song, Jiajun.

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Optimization of Shape and Control of Linear and Nonlinear Wave Energy Converters.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimization of Shape and Control of Linear and Nonlinear Wave Energy Converters./
Author:	Song, Jiajun.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	183 p.
Notes:	Source: Dissertations Abstracts International, Volume: 81-12.
Contained By:	Dissertations Abstracts International81-12.
Subject:	Ocean engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27957374
ISBN:	9798645478049

Optimization of Shape and Control of Linear and Nonlinear Wave Energy Converters.
Song, Jiajun.

Optimization of Shape and Control of Linear and Nonlinear Wave Energy Converters. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 183 p.

Source: Dissertations Abstracts International, Volume: 81-12.

Thesis (Ph.D.)--Michigan Technological University, 2020.

This item must not be sold to any third party vendors.

In this dissertation, we address the optimal control and shape optimization of Wave Energy Converters. The wave energy converters considered in this study are the single-body heaving wave energy converters, and the two-body heaving wave energy converters. Different types of wave energy converters are modeled mathematically, and different optimal controls are developed for them. The concept of shape optimization is introduced in this dissertation; the goal is to leverage nonlinear hydrodynamic forces which are dependent on the buoy shape. In this dissertation, shape optimization is carried out and its impact on energy extraction is investigated. In all the studies conducted in this dissertation the objective is set to maximize the harvested energy, in various wave climates. The development of a multi-resonant feedback controller is first introduced which targets both amplitude and phase through feedback that is constructed from individual frequency components that comes from the spectral of the measurements signal. Each individual frequency uses a Proportional-Derivativecontrol to provide both optimal resistive and reactive elements. Two-body heaving pointer absorbers are also investigated. Power conversion is from the relative have oscillation between the two bodies. The oscillation is controlled on a wave-by-wave basis using near-optimal feed-forward control. Chapter 4 presents the dynamic formulation used to evaluate the near-optimal, wave-by-wave control forces in the time domain. Also examined are the reaction-frame geometries for their impact on overall power capture through favorable hydrodynamic inter-actions. Performance is evaluated in a range of wave conditions sampled over a year at a chosen site of deployment. It is found that control may be able to provide the required amounts of power to sustain instrument operation at the chosen site, but also that energy storage options be worth pursuing.Chapter 5 presents an optimization approach to design axisymmetric wave energy converters (WECs) based on a non-linear hydrodynamic model. The time domain nonlinear Froude-Krylov force can be computed for a complex buoy shape, by adoptinganalytical formulas of its basic shape components. The time domain Forude-Krylov force is decomposed into its dynamic and static components, and then contribute to the calculation of the excitation force and the hydrostatic force. A non-linear control is assumed in the form of the combination of linear and non-linear damping terms. A variable size genetic algorithm (GA) optimization tool is developed to search for the optimal buoy shape along with the optimal control coefficients simultaneously. Chromosome of the GA tool is designed to improve computational efficiency and to leverage variable size genes to search for the optimal non-linear buoy shape. Different criteria of wave energy conversion can be implemented by the variable size GA tool. Simulation results presented in this thesis show that it is possible to find non-linear buoy shapes and non-linear controllers that take advantage of non-linear hydrodynamics to improve energy harvesting efficiency with out adding reactive terms to the system.

ISBN: 9798645478049Subjects--Topical Terms:

660731
Ocean engineering.
Subjects--Index Terms:

Nonlinear wave energy converters

Optimization of Shape and Control of Linear and Nonlinear Wave Energy Converters.
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245 1 0 $a Optimization of Shape and Control of Linear and Nonlinear Wave Energy Converters.
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300 $a 183 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-12.
500 $a Advisor: Allen, Jeffrey;Abdelkhalik, Ossama.
502 $a Thesis (Ph.D.)--Michigan Technological University, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a In this dissertation, we address the optimal control and shape optimization of Wave Energy Converters. The wave energy converters considered in this study are the single-body heaving wave energy converters, and the two-body heaving wave energy converters. Different types of wave energy converters are modeled mathematically, and different optimal controls are developed for them. The concept of shape optimization is introduced in this dissertation; the goal is to leverage nonlinear hydrodynamic forces which are dependent on the buoy shape. In this dissertation, shape optimization is carried out and its impact on energy extraction is investigated. In all the studies conducted in this dissertation the objective is set to maximize the harvested energy, in various wave climates. The development of a multi-resonant feedback controller is first introduced which targets both amplitude and phase through feedback that is constructed from individual frequency components that comes from the spectral of the measurements signal. Each individual frequency uses a Proportional-Derivativecontrol to provide both optimal resistive and reactive elements. Two-body heaving pointer absorbers are also investigated. Power conversion is from the relative have oscillation between the two bodies. The oscillation is controlled on a wave-by-wave basis using near-optimal feed-forward control. Chapter 4 presents the dynamic formulation used to evaluate the near-optimal, wave-by-wave control forces in the time domain. Also examined are the reaction-frame geometries for their impact on overall power capture through favorable hydrodynamic inter-actions. Performance is evaluated in a range of wave conditions sampled over a year at a chosen site of deployment. It is found that control may be able to provide the required amounts of power to sustain instrument operation at the chosen site, but also that energy storage options be worth pursuing.Chapter 5 presents an optimization approach to design axisymmetric wave energy converters (WECs) based on a non-linear hydrodynamic model. The time domain nonlinear Froude-Krylov force can be computed for a complex buoy shape, by adoptinganalytical formulas of its basic shape components. The time domain Forude-Krylov force is decomposed into its dynamic and static components, and then contribute to the calculation of the excitation force and the hydrostatic force. A non-linear control is assumed in the form of the combination of linear and non-linear damping terms. A variable size genetic algorithm (GA) optimization tool is developed to search for the optimal buoy shape along with the optimal control coefficients simultaneously. Chromosome of the GA tool is designed to improve computational efficiency and to leverage variable size genes to search for the optimal non-linear buoy shape. Different criteria of wave energy conversion can be implemented by the variable size GA tool. Simulation results presented in this thesis show that it is possible to find non-linear buoy shapes and non-linear controllers that take advantage of non-linear hydrodynamics to improve energy harvesting efficiency with out adding reactive terms to the system.
590 $a School code: 0129.
650 4 $a Ocean engineering. $3 660731
650 4 $a Mechanical engineering. $3 649730
653 $a Nonlinear wave energy converters
653 $a Optimization
653 $a Wave energy
690 $a 0547
690 $a 0548
710 2 $a Michigan Technological University. $b Mechanical Engineering-Engineering Mechanics. $3 1043627
773 0 $t Dissertations Abstracts International $g 81-12.
790 $a 0129
791 $a Ph.D.
792 $a 2020
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27957374