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NWEI AZURA Data for March 2018 Measured by MOIS (NREL)
Performance data (motion, power, mooring loads, position, heading, MOIS status) for the AZURA WEC operating at the Hawaii Wave Energy Test Site (WETS). Measured by Modular Ocean Instrumentation System (MOIS). These data are for the month of March 2018.
Channel descriptions are in...
Driscoll, R. National Renewable Energy Laboratory
Sep 30, 2018
8 Resources
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
NWEI AZURA Data for April 2018 Measured by MOIS (NREL)
Performance data (motion, power, mooring loads, position, heading, MOIS status) for the AZURA WEC operating at the Hawaii Wave Energy Test Site (WETS). Measured by Modular Ocean Instrumentation System (MOIS). These data are for the month of April 2018.
Channel descriptions are i...
Driscoll, R. National Renewable Energy Laboratory
Sep 30, 2018
8 Resources
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
NWEI AZURA Data for February 2018 Measured by MOIS (NREL)
Performance data (motion, power, mooring loads, position, heading, MOIS status) for the AZURA WEC operating at the Hawaii Wave Energy Test Site (WETS). Measured by Modular Ocean Instrumentation System (MOIS). These data are for the month of February 2018. Note that the WEC was dep...
Driscoll, R. National Renewable Energy Laboratory
Sep 30, 2018
8 Resources
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
Ocean Surface Wave Model Hindcast Data-US East Coast, Gulf of Mexico, Caribbean Sea (Puerto Rico & US Virgin Islands)
This dataset contains the raw model outputs from long-term (42 years), high-resolution (approximately 200 m in the nearshore regions) Simulating WAves Nearshore (SWAN) hindcasts covering the East Coast, Gulf of Mexico, Puerto Rico, and US Virgin Islands regions of the US Exclusive...
Meuris, B. et al Sandia National Laboratories
Feb 07, 2025
5 Resources
0 Stars
Publicly accessible
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
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible