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"visual impact assessment"×

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

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

Undiscovered Oil and Gas Resources of the Black Warrior Basin (Alabama and Mississippi)

The USGS published spatial data to supplement the report published in 2007 entitled, _Geologic Assessment of Undiscovered Oil and Gas Resources of the Black Warrior Basin Province, Alabama and Mississippi_. The GIS shapefiles and related metadata are included here.
Hallett, K. and USGS, . National Renewable Energy Laboratory
Apr 10, 2007
11 Resources
0 Stars
In curation

Proved Natural Gas Reserves: 2010

CIA: World Factbook assessment of proved reserves of natural gas in cubic meters (cu m). Proved reserves are those quantities of natural gas, which, by analysis of geological and engineering data, can be estimated with a high degree of confidence to be commercially recov...
Weers, J. and (CIA), C. National Renewable Energy Laboratory
Dec 31, 2009
3 Resources
0 Stars
In curation

Proved Oil Reserves: 2010

CIA: World Factbook assessment of proved reserves of crude oil in barrels (bbl). Proved reserves are those quantities of petroleum which, by analysis of geological and engineering data, can be estimated with a high degree of confidence to be commercially recoverable from a ...
Weers, J. and (CIA), C. National Renewable Energy Laboratory
Dec 31, 2009
3 Resources
0 Stars
In curation

Next Generation RivGen Power System: Risk Register

Risk Register for the RivGen power system, optimized for performance, durability and survivability, in Microsoft Excel format.
Salmon, A. Igiugig Village Council
Oct 05, 2017
1 Resources
0 Stars
Publicly accessible

Slip and Dilation Tendency Analysis of the Salt Wells Geothermal Area

Critically stressed fault segments have a relatively high likelihood of acting as fluid flow conduits (Sibson, 1994). As such, the tendency of a fault segment to slip (slip tendency; Ts; Morris et al., 1996) or to dilate (dilation tendency; Td; Ferrill et al., 1999) provides an in...
E., J. University of Nevada
Dec 31, 2013
1 Resources
0 Stars
Publicly accessible

Slip and Dilation Tendency Analysis of the San Emidio Geothermal Area

Critically stressed fault segments have a relatively high likelihood of acting as fluid flow conduits (Sibson, 1994). As such, the tendency of a fault segment to slip (slip tendency; Ts; Morris et al., 1996) or to dilate (dilation tendency; Td; Ferrill et al., 1999) provides an in...
E., J. University of Nevada
Dec 31, 2013
1 Resources
0 Stars
Publicly accessible
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