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The Performance Analysis and Optimiz...

Dickson, Lauren.

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The Performance Analysis and Optimization of Wave Energy Converters from Modeling to Basin Testing.

Record Type:	Electronic resources : Monograph/item
Title/Author:	The Performance Analysis and Optimization of Wave Energy Converters from Modeling to Basin Testing./
Author:	Dickson, Lauren.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:	89 p.
Notes:	Source: Masters Abstracts International, Volume: 85-06.
Contained By:	Masters Abstracts International85-06.
Subject:	Alternative energy. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30973336
ISBN:	9798380866934

The Performance Analysis and Optimization of Wave Energy Converters from Modeling to Basin Testing.
Dickson, Lauren.

The Performance Analysis and Optimization of Wave Energy Converters from Modeling to Basin Testing. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 89 p.

Source: Masters Abstracts International, Volume: 85-06.

Thesis (M.S.)--The University of Maine, 2023.

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

The successful development and optimization of wave energy converters (WECs) are pivotal to the pursuit of sustainable and renewable energy sources. This thesis explores the elements in a workflow that develops and demonstrates the protocols for the optimization of WECs using a rapid design\\build\est procedure. This thesis establishes the characterization of scaled ocean test sites, develops the performance metrics, generates the performance modeling techniques to predict the optimum design geometries which will be produced for final testing, and finally, establishes the basin test plan which will be used to conduct the testing on the optimum design. The findings of this research provide insights into WEC behavior and performance evaluation. By standardizing metrics and honing modeling and testing procedures, this thesis contributes to the wider adoption of wave energy as a viable and sustainable source of power. Harnessing the potential of wave energy though this workflow will help positively shape our energy future.

ISBN: 9798380866934Subjects--Topical Terms:

3436775
Alternative energy.
Subjects--Index Terms:

Wave energy converters

The Performance Analysis and Optimization of Wave Energy Converters from Modeling to Basin Testing.
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245 1 0 $a The Performance Analysis and Optimization of Wave Energy Converters from Modeling to Basin Testing.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 89 p.
500 $a Source: Masters Abstracts International, Volume: 85-06.
500 $a Advisor: Kimball, Richard W.;Ross, Lauren.
502 $a Thesis (M.S.)--The University of Maine, 2023.
506 $a This item must not be sold to any third party vendors.
520 $a The successful development and optimization of wave energy converters (WECs) are pivotal to the pursuit of sustainable and renewable energy sources. This thesis explores the elements in a workflow that develops and demonstrates the protocols for the optimization of WECs using a rapid design\\build\est procedure. This thesis establishes the characterization of scaled ocean test sites, develops the performance metrics, generates the performance modeling techniques to predict the optimum design geometries which will be produced for final testing, and finally, establishes the basin test plan which will be used to conduct the testing on the optimum design. The findings of this research provide insights into WEC behavior and performance evaluation. By standardizing metrics and honing modeling and testing procedures, this thesis contributes to the wider adoption of wave energy as a viable and sustainable source of power. Harnessing the potential of wave energy though this workflow will help positively shape our energy future.
590 $a School code: 0113.
650 4 $a Alternative energy. $3 3436775
650 4 $a Sustainability. $3 1029978
653 $a Wave energy converters
653 $a Optimization
653 $a Wave energy
690 $a 0640
690 $a 0363
710 2 $a The University of Maine. $3 1029373
773 0 $t Masters Abstracts International $g 85-06.
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792 $a 2023
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856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30973336