Wave energy converters in arrays: predicting coastal impacts, multi-objective optimisation and nonlinear interactions

Daniel Raj David

doi:10.26182/p42k-5a73

Wave energy converters in arrays: predicting coastal impacts, multi-objective optimisation and nonlinear interactions

Daniel Raj David

Research output: Thesis › Doctoral Thesis

393 Downloads (Pure)

Abstract

Understanding how wave energy converts (WECs) behave in arrays is crucial for the wave energy industry to develop commercial scale projets. This thesis offers insights on a variety of challenges that the wave energy industry is currently facing, including predicting coastal impacts, optimising arrays to maximise power absorption while minimising costs, and evaluating nonlinear effects on power absorption. The improved knowledge developed in this thesis can be used by the wave energy sector to design arrays while minimising cost and potential coastal impacts and thus will aid the industry on its path towards commercial scale deployments.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	The University of Western Australia
Supervisors/Advisors	Hansen, Jeff, Supervisor Rijnsdorp, Dirk, Supervisor Kurniawan, Adi, Supervisor Wolgamot, Hugh, Supervisor Lowe, Ryan, Supervisor
Thesis sponsors	Australian Government Research Training Program
Award date	22 Nov 2022
DOIs	https://doi.org/10.26182/p42k-5a73
Publication status	Unpublished - 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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10.26182/p42k-5a73

THESIS - DOCTOR OF PHILOSOPHY - DAVID, Daniel Raj - 2022
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2 Article
1 Chapter
1 Conference paper

Nearshore submerged wave farm optimisation: A multi-objective approach
David, D. R., Kurniawan, A., Wolgamot, H., Hansen, J. E., Rijnsdorp, D. & Lowe, R., Jul 2022, In: Applied Ocean Research. 124, 103225.
Research output: Contribution to journal › Article › peer-review

Open Access
10 Link opens in a new tab Citations (Scopus)
Performance Characteristics of an OWC in Regular and Random Waves
Sundar, V., Sannasiraj, S. A. & David, D. R., 2022, Ocean Waves Energy Systems: Hydrodynamics, Power Takeoff and Control Systems. Samad, A., Sannasiraj, S. A., Sundar, V. & Halder, P. (eds.). Springer International Publishing, Vol. 14. p. 133-180 48 p. (Ocean Engineering & Oceanography; vol. 14).
Research output: Chapter in Book/Conference paper › Chapter › peer-review
Predicting coastal impacts by wave farms: A comparison of wave-averaged and wave-resolving models
David, D. R., Rijnsdorp, D. P., Hansen, J. E., Lowe, R. J. & Buckley, M. L., Jan 2022, In: Renewable Energy. 183, p. 764-780 17 p.
Research output: Contribution to journal › Article › peer-review
15 Link opens in a new tab Citations (Scopus)

Cite this

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title = "Wave energy converters in arrays: predicting coastal impacts, multi-objective optimisation and nonlinear interactions",

abstract = "Understanding how wave energy converts (WECs) behave in arrays is crucial for the wave energy industry to develop commercial scale projets. This thesis offers insights on a variety of challenges that the wave energy industry is currently facing, including predicting coastal impacts, optimising arrays to maximise power absorption while minimising costs, and evaluating nonlinear effects on power absorption. The improved knowledge developed in this thesis can be used by the wave energy sector to design arrays while minimising cost and potential coastal impacts and thus will aid the industry on its path towards commercial scale deployments.",

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AB - Understanding how wave energy converts (WECs) behave in arrays is crucial for the wave energy industry to develop commercial scale projets. This thesis offers insights on a variety of challenges that the wave energy industry is currently facing, including predicting coastal impacts, optimising arrays to maximise power absorption while minimising costs, and evaluating nonlinear effects on power absorption. The improved knowledge developed in this thesis can be used by the wave energy sector to design arrays while minimising cost and potential coastal impacts and thus will aid the industry on its path towards commercial scale deployments.

KW - wave farm

KW - multi-objective optimisation

KW - coastal impacts

KW - wave energy

KW - nonlinear interactions

KW - wave-averaged model

KW - wave-resolving model

KW - wake effects

U2 - 10.26182/p42k-5a73

DO - 10.26182/p42k-5a73

M3 - Doctoral Thesis

ER -

Wave energy converters in arrays: predicting coastal impacts, multi-objective optimisation and nonlinear interactions

Abstract

UN SDGs

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Research output

Nearshore submerged wave farm optimisation: A multi-objective approach

Performance Characteristics of an OWC in Regular and Random Waves

Predicting coastal impacts by wave farms: A comparison of wave-averaged and wave-resolving models

Cite this