Simulation based design and performance assessment of a controlled cascaded pneumatic wave energy converter

The AOE Accumulated Ocean Energy Inc. (AOE) wave energy converter (WEC) is a cascaded pneumatic system, in which air is successively compressed through three point absorber devices on the way to shore; this air is then used to drive an electricity generator. To better quantify the performance of thi...

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Main Author: Thacher, Eric
Other Authors: Buckham, Bradley Jason
Format: Thesis
Language:English
Published: 2017
Subjects:
Online Access:https://dspace.library.uvic.ca//handle/1828/8535
id ftuvicpubl:oai:dspace.library.uvic.ca:1828/8535
record_format openpolar
spelling ftuvicpubl:oai:dspace.library.uvic.ca:1828/8535 2023-05-15T14:24:38+02:00 Simulation based design and performance assessment of a controlled cascaded pneumatic wave energy converter Thacher, Eric Buckham, Bradley Jason 2017-08-31 application/pdf https://dspace.library.uvic.ca//handle/1828/8535 English en eng https://dspace.library.uvic.ca//handle/1828/8535 E. Thacher, H. Bailey, B. Robertson, S. Beatty, J. Goldsworthy, C. Crawford and B. Buckham, "Development of Control Strategies for Interconnected Pneumatic Wave Energy Converters," in International Conference on Ocean, Offshore, and Arctic Engineering, Trondheim, 2017. Available to the World Wide Web Wave Energy Renewable Energy Wave Energy Control Point Absorber Genetic Algorithm Optimization Numerical Simulation Thesis 2017 ftuvicpubl 2022-05-19T06:14:02Z The AOE Accumulated Ocean Energy Inc. (AOE) wave energy converter (WEC) is a cascaded pneumatic system, in which air is successively compressed through three point absorber devices on the way to shore; this air is then used to drive an electricity generator. To better quantify the performance of this device, this thesis presents a dynamically coupled model architecture of the AOE WEC, which was developed using the finite element solver ProteusDS and MATLAB/Simulink. This model is subsequently applied for the development and implementation of control in the AOE WEC. At each control stage, comprehensive power matrix data is generated to assess power production as a function of control complexity. The nature of the AOE WEC presented a series of novel challenges, centered on the significant residency time of air within the power take-off (PTO). As a result, control implementation was broken into two stages: passive and active control. The first stage, passive control, was realized as an optimization of eight critical PTO parameters with the objective of maximizing exergy output. After only 15 generations, the genetic algorithm optimization led to an increase of 330.4% over an initial, informed estimate of the optimal design, such that the annually-averaged power output was 29.37 kW. However, a disparity in power production between low and moderate energy sea-states was identified, which informed the development of an active control strategy for the increase of power production in low energy sea-states. To this aim, a recirculation-based control strategy was developed, in which three accumulator tanks were used to selectively pressurize and de-pressurize the piston at opportune times, thereby increasing the continuity of air throughput. Under the influence of active control, sea-states with significant wave heights between 0.75 m – 1.75 m, which on average encompass 55.93% of the year at the Amphitrite Bank deployment location, saw a 16.3% increase in energy production. Graduate 2018-08-18 Thesis Arctic University of Victoria (Canada): UVicDSpace
institution Open Polar
collection University of Victoria (Canada): UVicDSpace
op_collection_id ftuvicpubl
language English
topic Wave Energy
Renewable Energy
Wave Energy Control
Point Absorber
Genetic Algorithm Optimization
Numerical Simulation
spellingShingle Wave Energy
Renewable Energy
Wave Energy Control
Point Absorber
Genetic Algorithm Optimization
Numerical Simulation
Thacher, Eric
Simulation based design and performance assessment of a controlled cascaded pneumatic wave energy converter
topic_facet Wave Energy
Renewable Energy
Wave Energy Control
Point Absorber
Genetic Algorithm Optimization
Numerical Simulation
description The AOE Accumulated Ocean Energy Inc. (AOE) wave energy converter (WEC) is a cascaded pneumatic system, in which air is successively compressed through three point absorber devices on the way to shore; this air is then used to drive an electricity generator. To better quantify the performance of this device, this thesis presents a dynamically coupled model architecture of the AOE WEC, which was developed using the finite element solver ProteusDS and MATLAB/Simulink. This model is subsequently applied for the development and implementation of control in the AOE WEC. At each control stage, comprehensive power matrix data is generated to assess power production as a function of control complexity. The nature of the AOE WEC presented a series of novel challenges, centered on the significant residency time of air within the power take-off (PTO). As a result, control implementation was broken into two stages: passive and active control. The first stage, passive control, was realized as an optimization of eight critical PTO parameters with the objective of maximizing exergy output. After only 15 generations, the genetic algorithm optimization led to an increase of 330.4% over an initial, informed estimate of the optimal design, such that the annually-averaged power output was 29.37 kW. However, a disparity in power production between low and moderate energy sea-states was identified, which informed the development of an active control strategy for the increase of power production in low energy sea-states. To this aim, a recirculation-based control strategy was developed, in which three accumulator tanks were used to selectively pressurize and de-pressurize the piston at opportune times, thereby increasing the continuity of air throughput. Under the influence of active control, sea-states with significant wave heights between 0.75 m – 1.75 m, which on average encompass 55.93% of the year at the Amphitrite Bank deployment location, saw a 16.3% increase in energy production. Graduate 2018-08-18
author2 Buckham, Bradley Jason
format Thesis
author Thacher, Eric
author_facet Thacher, Eric
author_sort Thacher, Eric
title Simulation based design and performance assessment of a controlled cascaded pneumatic wave energy converter
title_short Simulation based design and performance assessment of a controlled cascaded pneumatic wave energy converter
title_full Simulation based design and performance assessment of a controlled cascaded pneumatic wave energy converter
title_fullStr Simulation based design and performance assessment of a controlled cascaded pneumatic wave energy converter
title_full_unstemmed Simulation based design and performance assessment of a controlled cascaded pneumatic wave energy converter
title_sort simulation based design and performance assessment of a controlled cascaded pneumatic wave energy converter
publishDate 2017
url https://dspace.library.uvic.ca//handle/1828/8535
genre Arctic
genre_facet Arctic
op_relation https://dspace.library.uvic.ca//handle/1828/8535
E. Thacher, H. Bailey, B. Robertson, S. Beatty, J. Goldsworthy, C. Crawford and B. Buckham, "Development of Control Strategies for Interconnected Pneumatic Wave Energy Converters," in International Conference on Ocean, Offshore, and Arctic Engineering, Trondheim, 2017.
op_rights Available to the World Wide Web
_version_ 1766297065629941760