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Penn State Lab Testing Fluid-Rock Interaction in Geothermal Reservoirs

This project focused on assessment and discovery of fluid-rock interaction in geothermal reservoirs. We accomplished work in four main areas: 1) fracture formation and the relationship between fluid flow and shear failure, 2) assessment of fracture geometry and fluid permeability ...
Madara, B. et al Pennsylvania State University
Jan 01, 2018
5 Resources
0 Stars
Publicly accessible

Seedling Project Report: A Novel Heat Pump Integrated Underground Thermal Energy Storage for Shaping Electric Demand of Buildings

This report presents a preliminary assessment of the technical feasibility of utilizing underground thermal energy storage (UTES) and electric-driven heat pumps (EDHPs) to enable flexible behind-the-meter electric demand of buildings while meeting their thermal demands in an energ...
Liu, X. et al Oak Ridge National Laboratory
May 31, 2019
1 Resources
0 Stars
Publicly accessible

Kvichak River RISEC Project Resource Reconnaissance and Physical Characterization, Igiugig, AK

During the summer and fall of 2011 TerraSond Ltd. (TerraSond) completed a bathymetric survey and hydrokinetic energy assessment of the Kvichak River at Igiugig, Alaska. The purpose of this work was to characterize the initial site conditions for the design and installation of a hy...
McEntee, J. Ocean Renewable Power Company
Oct 01, 2015
2 Resources
0 Stars
Publicly accessible

Tidal Energy Site Characterization East Forelands Alaska

During the summer field season in 2012, Benthic GeoScience Inc. (Benthic) mobilized under contract with Ocean Renewable Power Company (ORPC) in order to conduct precise geospatial measurements of the seafloor accomplishing a preliminary Site Characterization Study for the ORPC Eas...
Worthington, M. National Renewable Energy Laboratory
Apr 01, 2013
2 Resources
0 Stars
Publicly accessible

Lidar UT-Dallas WindCube 200S Doppler Lidar Raw Data

**Overview** fixed scan against southeast sonic of 50m, 100m and 150m and supersite at 60m height **Data Quality** unfiltered data **Uncertainty** raw data **Constraints**
Iungo, G. Wind Energy Technologies Office (WETO)
Mar 06, 2015
1 Resources
0 Stars
Publicly accessible

Lidar DOE ARM StreamLine Doppler Lidar (Halo) Raw Data

**Overview** Refer to attached documentation. **Data Details** **Product type should be "derived" not "observed."** **Data Quality** Refer to attached documentation. **Uncertainty** Refer to attached documentation.
Newsom, R. Wind Energy Technologies Office (WETO)
Mar 05, 2015
1 Resources
0 Stars
Publicly accessible

Lidar UT-Dallas WindCube 200S Doppler Lidar Processed Data

**Overview** fixed scan against southeast sonic of 50m, 100m and 150m and supersite at 60m height **Data Quality** unfiltered data **Uncertainty** raw data **Constraints**
Iungo, G. Wind Energy Technologies Office (WETO)
Mar 18, 2015
1 Resources
0 Stars
Publicly accessible

Lidar UT-Dallas WindCube 200S Doppler Lidar Derived Data

**Overview** fixed scan against southeast sonic of 50m, 100m and 150m and supersite at 60m height **Data Quality** unfiltered data **Uncertainty** raw data **Constraints**
Iungo, G. Wind Energy Technologies Office (WETO)
Mar 05, 2015
1 Resources
0 Stars
Publicly accessible

United States Weather Resource Data, compatible with System Advisor Model (SAM)

Weather resource data for the United States for use in the System Advisor Model (SAM). More information on the System Advisor Model is available at: https://www.nrel.gov/analysis/sam/.
Aabakken, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
1 Resources
0 Stars
In curation

Lidar UMBC WindCube 200S Doppler Lidar Processed Data

**Data Details** UMBC Lidar: Water Tank: lat(40.041) lon(-105) alt(1602) 20150410-20150416 NW Pad: lat(40.051) lon(-105) alt(1578) 20150416-20150428 Visitor's Center: lat(40.045) lon(-105) alt(1587) 20150428 20150502
Brewer, A. Wind Energy Technologies Office (WETO)
Apr 09, 2015
1 Resources
0 Stars
Publicly accessible

Lidar UMBC WindCube 200S Doppler Lidar Derived Data

**Data Details** UMBC Lidar: Water Tank: lat(40.041) lon(-105) alt(1602) 20150410-20150416 NW Pad: lat(40.051) lon(-105) alt(1578) 20150416-20150428 Visitor's Center: lat(40.045) lon(-105) alt(1587) 20150428 20150502
Brewer, A. Wind Energy Technologies Office (WETO)
Apr 09, 2015
1 Resources
0 Stars
Publicly accessible

Sounding System UMBC Soundings Raw Data

**Overview** Sounding data from Watertank (site of NOAA's High Resolution Doppler Lidar) for comparison with microwave profilers. **Data Quality** Data quality based on RS92 Vaisala quality controls. Data wasa collected with a MW31 Vaisala DigiCORA Sounding System.
St.Pe, A. Wind Energy Technologies Office (WETO)
Apr 14, 2015
1 Resources
0 Stars
Publicly accessible

Lidar NOAA WindCube 200S Doppler Lidar (Dalek1) Raw Data

**Data Details** Dalek 1 (NOAA) Visitor's Center: lat(40.045) lon(-105), alt(1587), 20150302 20150309 Erie High School: lat(40.047) lon(-105), alt(1582), 20150309 20150426 Visitor's Center: lat(40.045) lon(-105), alt(1587), 20150426 20150601
Brewer, A. Wind Energy Technologies Office (WETO)
Jan 13, 2015
1 Resources
0 Stars
Publicly accessible

Lidar UMBC WindCube 200S Doppler Lidar Raw Data

**Data Details** UMBC Lidar: Water Tank: lat(40.041) lon(-105) alt(1602) 20150410-20150416 NW Pad: lat(40.051) lon(-105) alt(1578) 20150416-20150428 Visitor's Center: lat(40.045) lon(-105) alt(1587) 20150428 20150502
Brewer, A. Wind Energy Technologies Office (WETO)
Apr 09, 2015
1 Resources
0 Stars
Publicly accessible

Mapping and Assessment of the United States Ocean Wave Energy Resource

This project estimates the naturally available and technically recoverable U.S. wave energy resources, using a 51-month Wavewatch III hindcast database developed especially for this study by National Oceanographic and Atmospheric Administration's (NOAA's) National Centers for Envi...
EPRI, . et al Electric Power Research Institute
Dec 05, 2011
2 Resources
0 Stars
In curation

Life Cycle Analysis Data and Results for Geothermal and Other Electricity Generation Technologies

Life cycle analysis (LCA) is an environmental assessment method that quantifies the environmental performance of a product system over its entire lifetime, from cradle to grave. Based on a set of relevant metrics, the method is aptly suited for comparing the environmental performa...
Sullivan, J. Argonne National Laboratory
Jun 04, 2013
1 Resources
0 Stars
Publicly accessible

Washington State Play Fairway Analysis Passive Monitoring of St. Helens Shear Zone for Tomography and Precision Microseismic Event Detection

Data resources were derived from a passive seismic survey of the northern St. Helens Shear Zone on geothermal leases 12-24 km north of Mount St. Helens for phase 2 of the Geothermal Play-Fairway Analysis of Washington State Prospects. A 20 seismic station array of broadband seismo...
Swyer, M. et al AltaRock Energy Inc
Oct 03, 2017
7 Resources
0 Stars
Publicly accessible

TEAMER: Tidal Energy Resource Modeling Assessment and Environmental Biological Analysis in Turnagain Arm, Cook Inlet, AK

The deployment and operation of a floating and/or submerged tidal technology in the United States coastal water require characterizing tidal stream resource potential and assessing environmental conditions and satisfying all environmental permitting requirements. The waters of Coo...
Yang, Z. et al Pacific Northwest National Laboratory
Jun 09, 2025
2 Resources
0 Stars
Publicly accessible

Lidar NOAA WindCube 200S Doppler Lidar (Dalek1) Derived Data

**Data Details** Dalek 1 (NOAA) Visitor's Center: lat(40.045) lon(-105), alt(1587), 20150302 20150309 Erie High School: lat(40.047) lon(-105), alt(1582), 20150309 20150426 Visitor's Center: lat(40.045) lon(-105), alt(1587), 20150426 20150601
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 01, 2015
1 Resources
0 Stars
Publicly accessible

Lidar NOAA WindCube 200S Doppler Lidar (Dalek1) Processed Data

**Data Details** Dalek 1 (NOAA) Visitor's Center: lat(40.045) lon(-105), alt(1587), 20150302 20150309 Erie High School: lat(40.047) lon(-105), alt(1582), 20150309 20150426 Visitor's Center: lat(40.045) lon(-105), alt(1587), 20150426 20150601
Brewer, A. Wind Energy Technologies Office (WETO)
Jan 13, 2015
1 Resources
0 Stars
Publicly accessible

Cornell Ithaca Campus heat use data for a model year

Hourly steam use data for all significant buildings from the fiscal year (FY) 2017 (1 July 2016 30 June 2017) are provided. The total annual campus heating load in FY 2017 was about 0.81 trillion Btu (283,000 MWth-hrs). The data are presented as a spreadsheet, detailing on an ho...
Beyers, S. and Gustafson, J. Cornell University
Nov 13, 2019
2 Resources
0 Stars
Publicly accessible

BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset

The BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of the BUTTER Empirical Deep Learning Dataset. This dataset contains energy consumption and performance data from 63,52...
Tripp, C. et al National Renewable Energy Laboratory
Dec 30, 2022
9 Resources
1 Stars
Publicly accessible

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

Bench Testing Data and Report for an Early Prototype Pitch Resonator WEC

This dataset encompasses data and documentation from bench tests conducted on an early prototype of a "pitch resonator" wave energy converter (WEC). The testing aimed to validate numerical models and reduce risks associated with the pitch resonator concept, which is designed to co...
Coe, R. et al Sandia National Laboratories
Aug 09, 2024
4 Resources
0 Stars
Publicly accessible

Artificial Intelligence for Robust Integration of AMI and Synchrophasor Data to Significantly Boost Solar Adoption

The overarching goal of the project is to create a highly efficient framework of machine learning (ML) methods that provide consistent and accurate real-time knowledge of system states from diverse advanced metering infrastructure (AMI) devices and phasor measurement units (PMUs) ...
Ayyanar, R. et al Arizona State University
Feb 01, 2025
12 Resources
0 Stars
Publicly accessible
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