Classification systems for wave energy resources and WEC technologies

Neary, Vincent S.; Coe, Ryan G.; Cruz, João; Haas, Kevin A.; Bacelli, Giorgio; Debruyne, Yannick; Ahn, Seongho; Nevarez, Victor

doi:10.36688/imej.1.71-79

Cited by 30 publications

(17 citation statements)

References 7 publications

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“…For unmanned offshore renewable energy installations, 50-year extreme wave contours are recommended as suitable design envelopes [7][8][9], which is an approach that has been taken by many authors [24][25][26][27].…”

Section: Extreme Wave Conditionsmentioning

confidence: 99%

Response of Point-Absorbing Wave Energy Conversion System in 50-Years Return Period Extreme Focused Waves

Katsidoniotaki

Nilsson

Rutgersson

et al. 2021

JMSE

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This work evaluates the survivability of a point-absorbing wave energy converter at sea states along and inside the 50-year environmental contour for a selected-site in North Sea, by utilizing CFD simulations. Focused wave groups based on NewWave theory are used to model the extreme waves. The numerical breaking waves have been previously predicted by the analytical breaking criterion, showing that the latter provides an accurate estimate for the breaking state. The forces on key components of the device and the system’s dynamics are studied and compared. Slamming loads are identified in the interaction with extreme waves, particularly with breaking waves, and compared with the analytical formulas for slamming estimation as suggested by industrial standards. Considering the extreme wave characteristics, the accompanied phenomena and the resulting WEC’s response, this work contributes to the identification of the design-waves given the environmental contour of the selected site. The top-left side of the contour is identified as the more critical area as it consists of steep and high waves inducing significant nonlinear phenomena, resulting in high loads.

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Section: Extreme Wave Conditionsmentioning

confidence: 99%

Response of Point-Absorbing Wave Energy Conversion System in 50-Years Return Period Extreme Focused Waves

Katsidoniotaki

Nilsson

Rutgersson

et al. 2021

JMSE

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“…The radius of the WaveBot as-built (that tested by Coe et al 2016) is r 0 = 0.88 m. The average power isP , where negative power is absorbed by the device. The maximum stroke of the PS controller was constrained to z max ≤ 0.6 m. Note that (4) uses a polynomial expansion in the denominator, as was done previously by Neary et al (2018) to counteract the effect where small devices are disproportionately favored. The formulation of objective functions is acknowledged to be a difficult and case-specific operation and, therefore, a relatively simple objective function is chosen for expediency in this study.…”

Section: Case B: Optimal Design For CC P and Ps Controllermentioning

confidence: 99%

Initial conceptual demonstration of control co-design for WEC optimization

Coe¹,

Bacelli²,

Olson³

et al. 2020

Preprint

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While some engineering fields have benefited from systematic design optimization studies, wave energy converters have yet to successfully incorporate such analyses into practical engineering workflows. The current iterative approach to wave energy converter design leads to suboptimal solutions. This short paper presents an open-source MATLAB toolbox for performing design optimization studies on wave energy converters where power take-off behavior and realistic constraints can be easily included. This tool incorporates an adaptable control co-design approach, in that a constrained optimal controller is used to simulate device dynamics and populate an arbitrary objective function of the user's choosing. A brief explanation of the tool's structure and underlying theory is presented. In order to demonstrate the capabilities of the tool, verify its functionality, and begin to explore some basic wave energy converter design relationships, three conceptual case studies are presented. In particular, the importance of considering (and constraining) the magnitudes of device motion and forces is shown.<br>

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“…The case study uses freely available hindcast (Hm0, Tp) data from the 30-year Phase 2 NOAA NCEP Wavewatch III hindcast (NOAA hindcast) [13]. Studies utilising this dataset to categorise parts of the nearshore environment in the UK and US for various WECs with different power ratings have recently published in [14] and [15] respectively. In this study, data from 2008 has been used.…”

Section: A Approachmentioning

confidence: 99%

Site selection for scaled open water testing of a wave energy converter

McLean¹,

Holland²,

MacIver³

et al. 2020

Int. J. Mar. Ene.

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Many wave energy converter developers opt to carry out scaled prototype open water testing of their device as part of their technology development. Developers who have done this recently include Sea Power (1/5 scale, Galway Bay, 2017), CorPower (1/4 scale, EMEC, 2018) and Marine Power Systems (1/4 scale, FaBTest, ongoing). Scaled open water testing offers several benefits, including more representative realisations of sub-systems, identification and resolution of technological issues associated with scaling-up, and de-risking the manufacturing and marine operational procedures ahead of commercial-scale testing. In preparation for testing in Stage 3 of the Novel Wave Energy Converter programme, Wave Energy Scotland has considered requirements of a suitable scaled open water site and the methods for selection. In common with commercial site identification, this must consider operational infrastructure, time and funding constraints, and the appropriateness of site characteristics. This appropriateness is further complicated by the need to find a site of comparable scaled water depth and where the sea-states of interest (when scaled to full-scale) are likely to occur with sufficient frequency over the duration of the intended testing campaign. This paper presents an approach, and its associated assumptions, to identify locations which have the potential to satisfy the scaled open water site considerations, before discussing the challenges to satisfy the critical testing outcomes, and the pragmatism required to meet all requirements.

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Classification systems for wave energy resources and WEC technologies

Cited by 30 publications

References 7 publications

Response of Point-Absorbing Wave Energy Conversion System in 50-Years Return Period Extreme Focused Waves

Response of Point-Absorbing Wave Energy Conversion System in 50-Years Return Period Extreme Focused Waves

Initial conceptual demonstration of control co-design for WEC optimization

Site selection for scaled open water testing of a wave energy converter

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