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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
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MHK Levelized Cost of Energy (LCOE) Guidance and Techno-Economic Analysis Materials

Useful information and tools for calculating the Levelized Cost of Energy (LCOE) and MHK Cost Breakdown Structure. Includes a structure for calculating the capital expenditures and operating costs of a marine energy technology or device, reference resource data for both wave and ...

Jenne, S. and Baca, E. National Renewable Energy Laboratory

Nov 08, 2019
7 Resources
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Focusing Wave Energy for Wave Energy Converter Applications

Wave tank tests at Stevens Institute of Technology quantified the ability of near-surface platforms to concentrate wave energy over the platform. Due to the instantaneous change in water depth, mass, energy, and power are conserved in this process. The energy and power concentrat...

Raftery, M. Stevens Institute of Technology

Aug 10, 2010
7 Resources
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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
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Physical and Numerical Modeling Open Source Files and Datasets for 1:6 Scale Reference Model 2 (RM2) Cross-Flow Turbine

This submission includes Github links to open source files and data sets, including the numerical model, CACTUS, input files, source code and output files, CAD files of the 1:6 scale model DOE's RM2 cross-flow turbine, power performance data and wake flow measurements from the 1:6...

Neary, V. Sandia National Laboratories

Jun 30, 2015
3 Resources
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Fish Detection AI, Optic and Sonar-trained Object Detection Models

The Fish Detection AI project aims to improve the efficiency of fish monitoring around marine energy facilities to comply with regulatory requirements. Despite advancements in computer vision, there is limited focus on sonar images, identifying small fish with unlabeled data, and ...

Slater, K. et al Water Power Technology Office

Jun 25, 2014
12 Resources
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Competing Use Analysis for Offshore Renewables and Subsea Cables

Demand for abundant and diverse resources in the oceans is growing, necessitating marine spatial planning. To inform development of Marine Hydrokinetic (MHK) and Offshore Wind (OSW) resources, the Department of Energy (DOE) has asked NREL to identify the competing uses areas betwe...

Best, B. and Kilcher, L. National Renewable Energy Laboratory

Aug 29, 2019
3 Resources
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TEAMER: Advanced Wave-to-Wire OWC model in WEC-Sim

Accurate numerical models are crucial for the development of wave energy converter (WEC) technologies, providing the means for power production and lifetime assessment, site selection, and design of mooring lines, PTO systems and controllers, among other aspects. This project aims...

Peñalba, M. et al Mondragon Goi Eskola Politeknikoa

Dec 20, 2024
5 Resources
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HERO WEC 2024 Hydraulic Configuration Deployment Data

The following submission includes raw and processed data from the in water deployment of NREL's Hydraulic and Electric Reverse Osmosis Wave Energy Converter (HERO WEC), in the form of parquet files, TDMS files, CSV files, bag files and MATLAB workspaces. This dataset was collected...

Jenne, S. et al National Renewable Energy Laboratory

Mar 14, 2024
9 Resources
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Ocean Thermal Energy Conversion (OTEC) Datasets

The data presented here were collected from the Ocean Thermal Extractable Energy Visualization (OTEEV) project. The OTEEV project focused on assessing the Maximum Practicably Extractable Energy (MPEE) from the world's ocean thermal resources. This project explored the feasibili...

Langle, N. et al National Renewable Energy Laboratory

Nov 25, 2014
10 Resources
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