scholarly journals Reference Model 6 (RM6): Oscillating Wave Energy Converter.

2014 ◽  
Author(s):  
Diana L Bull ◽  
Chris Smith ◽  
Dale Scott Jenne ◽  
Paul Jacob ◽  
Andrea Copping ◽  
...  
Keyword(s):  
Wave Energy ◽  
Reference Model ◽  
Wave Energy Converter ◽  
Energy Converter

scholarly journals Reference Model 5 (RM5): Oscillating Surge Wave Energy Converter

2015 ◽  
Author(s):  
Y. H. Yu ◽  
D. S. Jenne ◽  
R. Thresher ◽  
A. Copping ◽  
S. Geerlofs ◽  
...  
Keyword(s):  
Wave Energy ◽  
Reference Model ◽  
Wave Energy Converter ◽  
Energy Converter

scholarly journals Preliminary Verification and Validation of WEC-Sim, an Open-Source Wave Energy Converter Design Tool

2014 ◽  
Author(s):  
Kelley Ruehl ◽  
Carlos Michelen ◽  
Samuel Kanner ◽  
Michael Lawson ◽  
Yi-Hsiang Yu
Keyword(s):  
Wave Energy ◽  
Reference Model ◽  
Design Tool ◽  
Wave Energy Converter ◽  
Energy Converter ◽  
Point Absorber ◽  
Preliminary Validation ◽  
Model Project ◽  
Converter Design ◽  
Source Wave

To promote and support the wave energy industry, a wave energy converter (WEC) design tool, WEC-Sim, is being developed by Sandia National Laboratories and the National Renewable Energy Laboratory. In this paper, the WEC-Sim code is used to model a point absorber WEC designed by the U.S. Department of Energy’s reference model project. Preliminary verification was performed by comparing results of the WEC-Sim simulation through a code-to-code comparison, utilizing the commercial codes ANSYS-AQWA, WaveDyn, and OrcaFlex. A preliminary validation of the code was also performed by comparing WEC-Sim simulation results to experimental wave tank tests.

scholarly journals The Effect of Environmental Contour Selection on Expected Wave Energy Converter Response

2018 ◽  
Vol 141 (1) ◽  
Author(s):  
Samuel J. Edwards ◽  
Ryan G. Coe
Keyword(s):  
Wave Energy ◽  
Reference Model ◽  
Wave Energy Converter ◽  
Contour Method ◽  
Response Analysis ◽  
Extreme Conditions ◽  
Force Response ◽  
Energy Converter ◽  
Extreme Response ◽  
Insight Into

A wave energy converter must be designed to both maximize power production and to ensure survivability, which requires the prediction of future sea states. It follows that precision in the prediction of those sea states should be important in determining a final WEC design. One common method used to estimate extreme conditions employs environmental contours of extreme conditions. This report compares five environmental contour methods and their repercussions on the response analysis of Reference Model 3 (RM3). The most extreme power take-off (PTO) force is predicted for the RM3 via each contour and compared to identify the potential difference in WEC response due to contour selection. The analysis provides insight into the relative performance of each of the contour methods and demonstrates the importance of an environmental contour in predicting extreme response. Ideally, over-predictions should be avoided, as they can add to device cost. At the same time, any “exceedances,” that is to say sea states that exceed predictions of the contour, should be avoided so that the device does not fail. For the extreme PTO force response studied here, relatively little sensitivity to the contour method is shown due to the collocation of the device's resonance with a region of agreement between the contours. However, looking at the level of observed exceedances for each contour may still give a higher level of confidence to some methods.

On the Long-Term Reliability Analysis of a Point Absorber Wave Energy Converter

2017 ◽  
Author(s):  
Jarred Canning ◽  
Phong Nguyen ◽  
Lance Manuel ◽  
Ryan G. Coe
Keyword(s):  
Wave Energy ◽  
Reference Model ◽  
Wave Energy Converter ◽  
Environmental Data ◽  
Energy Converter ◽  
Short Term ◽  
Point Absorber ◽  
Extreme Response ◽  
Term Response

Of interest in this study is the long-term response and performance of a two-body wave point absorber (“Reference Model 3”), which serves as a wave energy converter (WEC). In a previous study, the short-term uncertainty in this device’s response was studied for an extreme sea state. We now focus on the assessment of the long-term response of the device where we consider all possible sea states at a site of interest. We demonstrate how simulation tools may be used to evaluate the long-term response and consider key performance parameters of the WEC device, which are the heave and surge forces on the power take-off system and the power take-off extension. We employ environmental data at a designated deployment site in Northern California. Metocean information is generated using approximately 15 years of data from this site (National Data Buoy Center site no. 46022). For various sea states, a selected significant wave height and peak period are chosen to describe representative conditions. Then, using a public-domain simulation tool (Wave Energy Converter Simulator or WEC-Sim), we generate various short-term time-domain response measure for these sea states. Distribution fits to extreme response statistics are generated, for each bin that represents a cluster of sea states, using the open-source toolbox, WDRT (WEC Design Response Toolbox). Long-term distributions for each response variable of interest are estimated by weighting short-term distributions by the likelihood of the sea states; from these distributions, the 50-year response can be derived. The 50-year response is also estimated using an approximate but more efficient inverse reliability approach. Comparisons are made between the two approaches.

Hydrodynamic analysis of a novel wave energy converter: Hull Reservoir Wave Energy Converter (HRWEC)

2021 ◽  
Vol 170 ◽  
pp. 1020-1039
Author(s):  
S.D.G.S.P. Gunawardane ◽  
G.A.C.T. Bandara ◽  
Young-Ho Lee
Keyword(s):  
Wave Energy ◽  
Wave Energy Converter ◽  
Energy Converter ◽  
Hydrodynamic Analysis
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