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Wind and Structural Loads on Parabolic Trough Solar Collectors at Nevada Solar One

Wind loading is a main contributor to structural design costs of Concentrating Solar Power (CSP) collectors, such as heliostats and parabolic troughs. These structures must resist the mechanical forces generated by turbulent wind. At the same time, the reflector surfaces must exhi...
Egerer, U. et al National Renewable Energy Laboratory (NREL)
Oct 01, 2021
4 Resources
0 Stars
Publicly accessible

Wind and Structural Loads on Heliostats

Wind loading is a main contributor to structural design costs of Concentrating Solar Power (CSP) collectors, such as heliostats. These structures must resist the mechanical forces generated by turbulent wind. At the same time, the reflector surfaces must exhibit the necessary rigi...
Egerer, U. et al National Laboratory of the Rockies (NLR)
Dec 24, 2025
4 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
7 Resources
0 Stars
Publicly accessible

SMART-DS Synthetic Electrical Network Data OpenDSS Models for SFO, GSO, and AUS

The SMART-DS datasets (Synthetic Models for Advanced, Realistic Testing: Distribution systems and Scenarios) are realistic large-scale U.S. electrical distribution models for testing advanced grid algorithms and technology analysis. This document provides a user guide for the data...
Palmintier, B. et al National Renewable Energy Laboratory (NREL)
Dec 18, 2020
5 Resources
1 Stars
Publicly accessible

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
7 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
7 Resources
0 Stars
Publicly accessible

AlphaBuilding Synthetic Buildings Operation Dataset

This is a synthetic building operation dataset which includes HVAC, lighting, miscellaneous electric loads (MELs) system operating conditions, occupant counts, environmental parameters, end-use and whole-building energy consumptions at 10-minute intervals. The data is created with...
Li, H. et al Lawrence Berkeley National Laboratory
Dec 21, 2020
5 Resources
0 Stars
Publicly accessible

University of Miami Coupled Model (UMCM) for Hurricanes Ike and Sandy

The University of Miami Coupled Model (UMCM) is a coupled model that integrates atmospheric, wave, and ocean components to produce wind, wave, and current data. Atmospheric data is produced using the [Weather Research and Forecasting model](https://www.mmm.ucar.edu/weather-researc...
Phillipes, C. et al National Renewable Energy Laboratory
Sep 30, 2015
5 Resources
0 Stars
Publicly accessible

Buildings Sector Scenarios (BSS)

The Buildings Sector Scenarios (BSS) dataset establishes and simulates a plausible range of scenarios for U.S. buildings sector development between now and 2050 with a high degree of geographic and temporal resolution. The BSS framework integrates the capabilities of existing mode...
Langevin, J. et al Lawrence Berkeley National Laboratory (LBNL)
Oct 31, 2025
7 Resources
0 Stars
Publicly accessible

Utah FORGE: Triggered DAS and Continuous Downhole Geophone Data from April 2024 Stimulations

This dataset contains distributed acoustic sensing (DAS) and downhole geophone data collected during the April 2024 stimulation experiments at the Utah FORGE site. DAS data were acquired from well 16B(78)-32 by Neubrex and processed by GeoEnergie Suisse (GES), covering the period ...
Dyer, B. et al Energy and Geoscience Institute at the University of Utah
Apr 01, 2024
5 Resources
0 Stars
Publicly accessible

U.S. Agrivoltaics Irradiance Database

This is a foundational data set for research and deployment of agrivoltaics, which is the co-location of agriculture and solar power plants on the same land. This irradiance and shading dataset can be utilized to determine the suitability of agrivoltaics configurations for a given...
Ovaitt, S. et al National Laboratory of the Rockies (NLR)
Nov 05, 2025
5 Resources
0 Stars
Publicly accessible

Tracking the Sun

Berkeley Lab's Tracking the Sun report series is dedicated to summarizing installed prices and other trends among grid-connected, distributed solar photovoltaic (PV) systems in the United States. The present report, the 11th edition in the series, focuses on systems installed thro...
Barbose, G. and Darghouth, N. Lawrence Berkeley National Laboratory (LBNL)
Oct 01, 2019
6 Resources
1 Stars
Publicly accessible

Imperial Valley Dark Fiber Project Continuous DAS Data

The Imperial Valley Dark Fiber Project acquired Distributed Acoustic Sensing (DAS) seismic data on a ~28 km segment of dark fiber between the cities of Calipatria and Imperial in the Imperial Valley, Southern California. Dark fiber refers to unused optical fiber cables in telecomm...
Ajo-Franklin, J. et al Lawrence Berkeley National Laboratory
Nov 10, 2020
4 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