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Performance estimation of resonance-enhanced dual-buoy wave energy converter using coupled time-domain simulation

This paper presents the modeling methodology and performance evaluation of the resonance-enhanced dual-buoy WEC (Wave Energy Converter) by HEM (hydrodynamic & electro-magnetic) fully-coupled-dynamics time-domain-simulation program. The numerical results are systematically compared...

Kang, H. et al Texas A&M University

Aug 31, 2020
3 Resources
0 Stars
Publicly accessible

Reference Model 3 Scaled Geometry (RM3: Wave Point Absorber)

Contains the Reference Model 3 (RM3) scaled scale geometry files of the Wave Point Absorber, developed by the Reference Model Project (RMP). These scaled geometry files are saved as SolidWorks assembly, IGS, and STEP files, and require a CAD program to view. The scaled RM3 device ...

Neary, V. et al Sandia National Laboratories

Sep 30, 2014
7 Resources
0 Stars
Publicly accessible

Reference Model 2 Cost Breakdown (RM2: River Current Turbine)

Contains the Reference Model 2 (RM2) spreadsheets with the cost breakdown structure (CBS) for the levelized cost of energy (LCOE) calculations for a single RM2 device and multiple unit arrays. These spreadsheets are contained within an XLSX file and a spreadsheet editor such as Mi...

Neary, V. et al Sandia National Laboratories

Sep 30, 2014
2 Resources
0 Stars
Publicly accessible

Bureau of Land Management (BLM) Public Lands in geothermal potential area

The dataset is a GIS layer displaying BLM public lands that lie within an area that has geothermal potential. The GIS layer contains .SBX, .XML, .SHX, .DBF (.XLS), .PRJ, .SBN, and .SHP data. ### License Info Open information http://www.doi.gov/privacy.cfm

Hill, G. and (BLM), U. National Renewable Energy Laboratory

Jul 29, 2014
2 Resources
0 Stars
In curation

National Forest System Lands in geothermal potential area

A GIS layer from the BLM nationwide PEIS of lands within the U.S. National Forest system that contain geothermal potential. The GIS layer contains .SBX, .XML, .SHX, .DBF (.XLS), .PRJ, .SBN, and .SHP data. ### License Info Made open by BLM. http://www.doi.gov/privacy.cfm

Hill, G. and (BLM), U. National Renewable Energy Laboratory

Jul 29, 2014
2 Resources
0 Stars
In curation

Curated Modeled Fault Data Set

The curated fault model simulation data set consists of tagged and fully-described time series representing simulated faults for the AFDD test building (ORNLs Flexible Research Platform (FRP)), including baseline performance, faulty performance, and corresponding energy impact. A ...

Kim, J. and Leach, M. National Renewable Energy Laboratory

Jun 24, 2019
7 Resources
0 Stars
Publicly accessible

EcoVillage: A Net Zero Energy Ready Community Ithaca Crawlspace

The U.S. Department of Energy's (DOE) Building America team, Consortium for Residential Buildings (CARB), is working with the EcoVillage cohousing community in Ithaca, New York, on the Third Residential EcoVillage Experience neighborhood. This community-scale project consists of 4...

Arena, L. et al Steven Winter Associates of the Consortium for Advanced Residential Buildings

Apr 27, 2016
3 Resources
0 Stars
Publicly accessible

BUTTER Empirical Deep Learning Dataset

The BUTTER Empirical Deep Learning Dataset represents an empirical study of the deep learning phenomena on dense fully connected networks, scanning across thirteen datasets, eight network shapes, fourteen depths, twenty-three network sizes (number of trainable parameters), four le...

Tripp, C. et al National Renewable Energy Laboratory

May 20, 2022
4 Resources
0 Stars
Publicly accessible

NREL MOIS Data for NWEI Azura July 2016

NREL Modular Ocean Instrumentation System (MOIS) data files for the Azura grid-connected deployment at the 30-meter berth of the US Navys Wave Energy Test Site (WETS 30m Site) at the Kaneohe Marine Corps Base Hawaii (MCBH) on the windward (northeast) coast of the island of Oahu, H...

Nelson, E. National Renewable Energy Laboratory

Sep 25, 2016
18 Resources
0 Stars
Publicly accessible

BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting

The BuildingsBench datasets consist of: Buildings-900K: A large-scale dataset of 900K buildings for pretraining models on the task of short-term load forecasting (STLF). Buildings-900K is statistically representative of the entire U.S. building stock. 7 real residential and com...

Emami, P. and Graf, P. National Renewable Energy Laboratory

Dec 31, 2018
6 Resources
1 Stars
Publicly accessible

U.S. Electric Utility Companies and Rates: Look-up by Zipcode (2019)

This dataset, compiled by NREL using data from [ABB, the Velocity Suite](http://energymarketintel.com/) and the [U.S. Energy Information Administration dataset 861](http://www.eia.gov/electricity/data/eia861/), provides average residential, commercial and industrial electricity ra...