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Modeled Performance of the Hathaway Solar Patriot house Washington D.C

This Dataset contains field research raw data, analysis spreadsheet, photos, and final report from the Hathaway Solar Patriot House Building America Case Study project. This dataset details the monitored and modeled performance of a solar home outside of Washington, D.C. We model...

Norton, P. et al National Renewable Energy Laboratory

Jun 20, 2016
5 Resources
0 Stars
Publicly accessible

United States Land-based Wind Supply Curves 2024

This data packet contains supply curves, hourly generation profiles, and a composite siting exclusion TIFF for land-based wind across the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), levelized cost of energy (LCOE...

Geospatial Data Science, N. National Renewable Energy Laboratory

Jan 01, 2025
12 Resources
0 Stars
Publicly accessible

HERO WEC V1.0 Electrical PTO Deployment Data and Analysis

This submission includes the processed and raw field electrical data from NREL's August 2022 HERO WEC (hydraulic and electric reverse osmosis wave energy converter) deployment at Jennette's Pier for the electrical PTO (power take-off).

Nakhai, A. et al National Renewable Energy Laboratory

Aug 12, 2022
4 Resources
0 Stars
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Solar Permitting, Inspection, and Interconnection Cycletimes and Requirements

Sixteen small-to-large residential PV installers submitted project-level data for analysis, which included timestamps for major components of the permitting, inspection, and interconnection process as well as contract and installation dates. NREL calculated median timelines for th...

Cook. . et al National Renewable Energy Laboratory

Mar 31, 2021
2 Resources
0 Stars
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United States Land-based Wind Supply Curves 2023

GDS, N. National Renewable Energy Laboratory

Jun 30, 2023
13 Resources
0 Stars
Publicly accessible

Caerbannog Point Clouds

The Caerbannog Point Clouds provide point-sampled 3D models occluded in clouds of points. We synthesized the 3D point clouds from polygonal models, point-sampling the models and surrounding them in a point cloud such that the shape of the model is occluded in any 2D projection. We...

Raghupathi. . et al National Renewable Energy Laboratory

Dec 01, 2020
6 Resources
0 Stars
Publicly accessible

Early Market Opportunity MHK Energy Site Identification Wave and Tidal Resources

This data was compiled for the 'Early Market Opportunity Hot Spot Identification' project. The data and scripts included were used in the 'MHK Energy Site Identification and Ranking Methodology' Reports (see resources below). The Python scripts will generate a set of results--base...

Kilcher, L. National Renewable Energy Laboratory

Apr 01, 2016
7 Resources
0 Stars
Publicly accessible

H2@Scale Hydrogen Economic Potential Supply and Demand Locations

This data release provides estimates of hydrogens economic potential for possible hydrogen applications and production technologies by geographic location for various scenarios, as described in "The Technical and Economic Potential of the H2@Scale Concept within the United States"...

Ruth, M. et al National Renewable Energy Laboratory

Oct 01, 2020
5 Resources
0 Stars
Publicly accessible

Coalbed Methane Resources in the Powder River Basin: Lithologic Data

The USGS investigated coalbed methane (CBM) resources in the Powder River Basin (WY) and adjacent basins in Wyoming and North Dakota. Specifically, the analysis looked at: total gas desorbed, coal quality, and high-pressure methane adsorption isotherm data from 963 cored coal samp...

Hallett, K. and USGS, . National Renewable Energy Laboratory

Sep 29, 2010
2 Resources
0 Stars
In curation

Topology-Based Machine-Learning for Modeling Power-System Responses to Contingencies

This is the companion dataset to the presentation NREL/PR-6A20-77485, which was presented at the 2020 Joint Statistical Meeting on August 3, 2020. Developed for the machine-learning predictive modeling of power-system responses to disruptions, it contains results of power-system c...

BushNational Renewable Energy Laboratory

Aug 01, 2020
2 Resources
0 Stars
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Wind Turbine Gearbox Condition Monitoring Vibration Analysis Benchmarking Datasets

Wind turbine condition monitoring (CM) can potentially help the wind industry reduce turbine downtime and operation and maintenance (O&M) cost. NREL CM research has investigated various condition-monitoring techniques such as acoustic emission (AE specifically stress wave), vibrat...

Sheng, S. National Renewable Energy Laboratory

Mar 28, 2014
5 Resources
2 Stars
Publicly accessible

GeoVision Barriers Taskforce

This submission includes papers, presentations, and data developed during the multi-year GeoVision Barriers Taskforce effort. Developers have identified many non-technical barriers to geothermal power development, including land access, permitting, and market barriers. Included i...

Young, K. and Levine, A. National Renewable Energy Laboratory

Sep 30, 2015
5 Resources
0 Stars
Publicly accessible

Screening Tool for Equitable Adoption and Deployment of Solar (STEADy Solar)

The Screening Tool for Equitable Adoption and DeploYment of Solar (STEADy Solar) is a database and mapping tool designed to promoting clean energy investments for low-income communities across the United States. The tool indicates locations that may be eligible for the Investment ...

Ferrall-Wolf and McLarenNational Renewable Energy Laboratory

May 24, 2024
4 Resources
0 Stars
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Renewable Energy Potential Model: Geothermal Supply Curves

The Renewable Energy Potential (reV) model is a geospatial platform for estimating technical potential and developing renewable energy supply curves, initially developed for wind and solar technologies. The model evaluates deployment constraints, considering land use, environmenta...

Trainor-Guitton, W. et al National Renewable Energy Laboratory

Aug 21, 2023
3 Resources
0 Stars
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Socioeconomic Data for the Permian Basin

This dataset was compiled to support socioeconomic analyses of counties in the Permian Basin in Texas and New Mexico for the Permian Energy Development Lab (PEDL). The metrics in the dataset are organized into four categories: Socioeconomics, Health & Wellbeing, Jobs & Wor...

RossNational Renewable Energy Laboratory

May 16, 2024
1 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
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Performance, Cost, and Financial Parameters of Geothermal District Heating Systems for Market Penetration Modeling under Various Scenarios

The U.S. Department of Energy Geothermal Vision (GeoVision) Study is currently looking at the potential to increase geothermal deployment in the U.S. and to understand the impact of this increased deployment. This paper reviews 31 performance, cost, and financial parameters as inp...

Beckers, K. and Young, K. National Renewable Energy Laboratory

Mar 23, 2017
1 Resources
0 Stars
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Long-Run Marginal Emission Rates for Electricity Workbooks for 2022 Cambium Data

These workbooks contain modeled estimates of long-run marginal emission rates (LRMER) for the contiguous United States. A LRMER is an estimate of the rate of emissions that would be either induced or avoided by a change in electric demand, taking into account how the change could ...

Gagnon. . et al National Renewable Energy Laboratory

Jan 15, 2023
2 Resources
0 Stars
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Solar Row Zero Energy Townhomes Boulder, CO

Wonderland Development has constructed a new "near zero energy" row home design in North Boulder consisting of 9 units: one 5-plex and two duplexes. NREL has performed short-term tests and installed long-term monitoring equipment in three of these units. Two of these units used a ...

Norton, P. et al National Renewable Energy Laboratory

Sep 27, 2016
11 Resources
0 Stars
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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

HERO WEC V1 Upgrade 2023 Laboratory Testing (Raw Data)

This submission contains the original, unprocessed data from the 2023 Large Amplitude Motion Platform (LAMP) testing of NREL's Hydraulic and Electric Reverse Osmosis Wave Energy Converter (HERO WEC). This data serves as a companion to MHKDR #520. Data was collected using NREL's Mo...

Jenne, S. et al National Renewable Energy Laboratory

Jan 01, 2024
6 Resources
0 Stars
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Electrification Futures Study Flexible Load Profiles

This data set includes hourly profiles for flexible load developed for the Electrification Futures Study (EFS). The load profiles represent projected end-use electricity demand that is assumed to be flexible (i.e., can be shifted throughout a day) for various scenarios of flexibil...

Jadun. . et al National Renewable Energy Laboratory

Feb 04, 2020
3 Resources
0 Stars
Publicly accessible

United States Geothermal Supply Curves 2024

This data packet contains supply curves and a composite siting exclusion TIFF for EGS and hydrothermal geothermal across the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), levelized cost of energy (LCOE), levelized ...

Trainor-Guitton, W. et al National Renewable Energy Laboratory

Apr 15, 2025
10 Resources
0 Stars
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Comparative Analysis of Alternative Means for Removing Noncondensable Gases from Flashed-Steam Geothermal Power Plants:April 1999 March 2000

This dataset corresponds to the final report on a screening study to compare six methods of removing noncondensable gases from direct-use geo-thermal steam power plants. This report defines the study methodologies and compares the performance and economics of selected gas-removal ...

Hallett, K. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
3 Resources
0 Stars
In curation

NREL RSF Measured Data 2011

Modern buildings are complex energy systems that must be controlled for energy efficiency. The Research Support Facility (RSF) at the National Renewable Energy Laboratory (NREL) has hundreds of controllers computers that communicate with the building's various control systems to...

Sheppy, M. et al National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
0 Stars
Publicly accessible

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