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ALFA Discrete Element Method (DEM) Simulations using PFC3D

Contains input scripts, background information, reduced data, and results associated with the discrete element method (DEM) simulations of interface shear tests, plate anchor pullout tests, and torpedo anchor installation and pullout tests, using the software PFC3D (v4.0).

Evans, M. Northwest National Marine Renewable Energy Center

Jan 05, 2016
3 Resources
0 Stars
Publicly accessible

MOIS CAD Models

SolidWorks models of the Modular Ocean Instrumentation System (MOIS) data acquisition system components in it's subsea enclosure. The zip file contains all the components necessary for the assembly.

Nelson, E. National Renewable Energy Laboratory

Dec 03, 2015
1 Resources
0 Stars
Publicly accessible

MOIS LabVIEW Software

Software developed in LabVIEW for the Modular Ocean Instrumentation System (MOIS) is provided. Two documents: MOIS User's Guide and MOIS Software Developer's Guide are included in the submission.

Nelson, E. National Renewable Energy Laboratory

Dec 03, 2015
3 Resources
0 Stars
Publicly accessible

Virtual Flow Solver Geophysics: A 3D Incompressible Navier-Stokes Solver

Virtual Flow Solver Geophysics (VFS-Geophysics) is a three-dimensional (3D) incompressible Navier-Stokes solver based on the Curvilinear Immersed Boundary (CURVIB) method. The CURVIB is a sharp interface type of immersed boundary (IB) method that enables the simulation of fluid f...

Khosronejad, A. et al Stony Brook University

Jul 17, 2023
2 Resources
0 Stars
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LandRAY PTO Test Plans with NREL NWTC 5 MW Dynamometer

The overarching project objective is to demonstrate the feasibility of using an innovative PowerTake-Off (PTO) Module in Columbia Power's utility-scale wave energy converter (WEC). The PTO Module uniquely combines a large-diameter, direct-drive, rotary permanent magnet generator; ...

Prudell, J. et al Columbia Power Technologies, Inc.

Feb 29, 2016
5 Resources
0 Stars
Publicly accessible

High Resolution Ocean Surface Wave Hindcast (US Wave) Data

The development of this dataset was funded by the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, Water Power Technologies Office to improve our understanding of the U.S. wave energy resource and to provide critical information for wave energy project de...

Yang, Z. et al National Renewable Energy Laboratory

Jul 01, 2020
6 Resources
1 Stars
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