Full long-term design response analysis of a wave energy converter

Coe, Ryan G.; Michelen, Carlos; Eckert-Gallup, Aubrey Celia; Sallaberry, Cédric J.

doi:10.1016/j.renene.2017.09.056

Cited by 29 publications

(21 citation statements)

References 10 publications

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“…The largest short-term extreme loads within the 1-year return contour, and the sea states where they occur, are noted in Figure 9. As described in [15,23], the all-sea-state long-term design loads were computed using the complementary cumulative distribution function:…”

Section: Wec-sim Simulationsmentioning

confidence: 99%

A Wave Energy Converter Design Load Case Study

Rij

Guo

et al. 2019

JMSE

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This article presents an example by which design loads for a wave energy converter (WEC) might be estimated through the various stages of the WEC design process. Unlike previous studies, this study considers structural loads, for which, an accurate assessment is crucial to the optimization and survival of a WEC. Three levels of computational fidelity are considered. The first set of design load approximations are made using a potential flow frequency-domain boundary-element method with generalized body modes. The second set of design load approximations are made using a modified version of the linear-based time-domain code WEC-Sim. The final set of design load simulations are realized using computational fluid dynamics coupled with finite element analysis to evaluate the WEC's loads in response to both regular and focused waves. This study demonstrates an efficient framework for evaluating loads through each of the design stages. In comparison with experimental and high-fidelity simulation results, the linear-based methods can roughly approximate the design loads and the sea states at which they occur. The high-fidelity simulations for regular wave responses correspond well with experimental data and appear to provide reliable design load data. The high-fidelity simulations of focused waves, however, result in highly nonlinear interactions that are not predicted by the linear-based most-likely extreme response design load method.

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Section: Wec-sim Simulationsmentioning

confidence: 99%

A Wave Energy Converter Design Load Case Study

Rij

Guo

et al. 2019

JMSE

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“…In order to investigate the variation (spread) of extreme load responses within a resource class, representative design load estimates for the nominal scale of the RM3 WEC ( = 1) were derived for three NDBC buoy sites in the West Coast climate. To characterise both the sites of interest and representative design load metrics, the WEC Design Response Toolbox (WDRT) [10] was used. For the former, the WDRT includes a routine for creating environmental contours of extreme sea states based on the principle components analysis (PCA) methodology [11], allowing the characterization of the joint probability distribution of sea state variables of interest.…”

Section: Wec Design Loadsmentioning

confidence: 99%

Classification systems for wave energy resources and WEC technologies

Neary¹,

Coe²,

Cruz³

et al. 2018

Int. J. Mar. Ene.

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Classification systems for wave energy resources and wave energy converter (WEC) technologies could provide similar benefits to those for the wind energy industry: resource classification facilitating reconnaissance studies and project planning at both regional and national scales; and WEC classification streamlining and reducing costs of WEC device design and manufacturing. In the present study, a classification system for U.S. wave resources is used to investigate the feasibility of WEC classification. Wave spectra inputs from three wave energy resource classes delineated in this system are used to derive distributions of optimized WEC design scaling factors, as well as WEC design responses. Preliminary results indicate that a single standard WEC design class could serve within a given resource class, and corresponding regional wave climate, due to distinct wave energy distributions and concentrations of energy within partitioned period bands for each resource class. The WEC response to extreme loads was found to vary considerably within the most energetic of the resource classes examined, suggesting the need for these standard design classes to meet structural design requirements based on the upper limits of load response within a given resource class. However, the observed load metric variation is lower than the inter-region resource variations.

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“…Descriptions for such an approach can be found in a number of guidelines and standards, including N-003 [3] and DNV-RP-C205 [4]. Additionally, this approach has been considered for WECs in a number of studies [28,29]. The short-term responses (i.e., the sea state-specific responses),F X 3hr (t,h) , are integrated, along with a weighting for occurrence likelihood of each sea state, f (T e ,H s ) (t, h).…”

Section: Design Frameworkmentioning

confidence: 99%

“…Here, a principle component analysis (PCA) approach is applied to better utilize the physical relationship between wave period and height. Many of these contour methods have been implemented in the open-source WEC Design Response Toolbox (WDRT) [48]. Figure 3 shows an example where the WDRT was used to produce a set of 50-year contours using a variety of methods.…”

Section: Environmental Characterizationmentioning

confidence: 99%

“…A broad comparison of different short-term extreme response methods applied to WECs is presented by Michelen and Coe [37] (many of these methods have been implemented in an open-source toolbox [48]). In general, short-term extreme response methods attempt to balance the amount of data utilized with the importance of that data to predicting extremes.…”

Section: Extreme Response Statisticsmentioning

confidence: 99%

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A Survey of WEC Reliability, Survival and Design Practices

Coe

Rij

2017

Energies

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A wave energy converter must be designed to survive and function efficiently, often in highly energetic ocean environments. This represents a challenging engineering problem, comprising systematic failure mode analysis, environmental characterization, modeling, experimental testing, fatigue and extreme response analysis. While, when compared with other ocean systems such as ships and offshore platforms, there is relatively little experience in wave energy converter design, a great deal of recent work has been done within these various areas. This paper summarizes the general stages and workflow for wave energy converter design, relying on supporting articles to provide insight. By surveying published work on wave energy converter survival and design response analyses, this paper seeks to provide the reader with an understanding of the different components of this process and the range of methodologies that can be brought to bear. In this way, the reader is provided with a large set of tools to perform design response analyses on wave energy converters.

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Full long-term design response analysis of a wave energy converter

Cited by 29 publications

References 10 publications

A Wave Energy Converter Design Load Case Study

A Wave Energy Converter Design Load Case Study

Classification systems for wave energy resources and WEC technologies

A Survey of WEC Reliability, Survival and Design Practices

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