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Rotating Shadowband Radiometer (RSR) Data for Los Angeles, California

The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to supp...

Stoffel and AndreasNational Renewable Energy Laboratory

Dec 17, 2014
2 Resources
0 Stars
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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
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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
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Dataset for report: Non-Technical Barriers to Geothermal Development in California and Nevada

In California and Nevada, geothermal projects are subject to non-technical barriers, which may create development delays leading to higher project costs and risks and decreased competitiveness with other electricity generation technologies. These non-technical barriers may include...

Levine, A. et al National Renewable Energy Laboratory

Mar 10, 2022
19 Resources
0 Stars
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Understanding the Evolution of Customer Motivations and Adoption Barriers in Residential Solar Markets: Survey Data

This research focused on accelerating solar photovoltaic (PV) diffusion by collecting new market data and developing predictive modeling frameworks to test and refine understandings of household level motivations for adopting solar. Three different household-level surveys were...

Sigrin. . et al National Renewable Energy Laboratory

May 22, 2017
13 Resources
0 Stars
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Bhutan Solar Resources

GIS data for Bhutan's direct normal irradiance (DNI), global horizontal irradiance (GHI), and latitude tilt irradiance. Researchers from NREL and the Atmospheric Sciences Research Center (ASRC) at the State University of New York (SUNY) at Albany developed the estimates of Bhutans...

Heimiller, D. et al National Renewable Energy Laboratory

Nov 25, 2014
4 Resources
0 Stars
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Geothermal Project Database Supporting Barriers and Viability Analysis for Development by 2020 Timeline

This data provides the underlying project-level analysis and data sources complied in response to the DOE request to determine the amount of geothermal capacity that could be available to meet the President's request to double renewable energy capacity by 2020. The enclosed dat...

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

Oct 21, 2014
2 Resources
0 Stars
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Demand-Side Grid Model (dsgrid) Data from the Electrification Futures Project (EFS)

This data set contains the full-resolution and state-level data described in the linked technical report (https://www.nrel.gov/docs/fy18osti/71492.pdf). It can be accessed with the NREL-dsgrid-legacy-efs-api, available on GitHub at https://github.com/dsgrid/dsgrid-legacy-efs-api a...

Hale, E. et al National Renewable Energy Laboratory

Jul 08, 2018
6 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
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OPFLearnData: Dataset for Learning AC Optimal Power Flow

The datasets are resulting from OPFLearn.jl, a Julia package for creating AC OPF datasets. The package was developed to provide researchers with a standardized way to efficiently create AC OPF datasets that are representative of more of the AC OPF feasible load space compared to t...

Joswig-Jones. . et al National Renewable Energy Laboratory

Oct 26, 2021
12 Resources
0 Stars
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Metering Best Practices Applied in the National Renewable Energy Laboratory's Research Support Facility: A Primer to the 2011 Measured and Modeled Energy Consumption Datasets

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. . et al National Renewable Energy Laboratory

Mar 25, 2016
4 Resources
0 Stars
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Hathaway Solar Patriot house

This Dataset contains field research raw data, analysis spreadsheet, photos, and final report from the Hathaway Solar Patriot House Building America Case Study project.

Norton, P. National Renewable Energy Laboratory

Jun 09, 2016
6 Resources
0 Stars
In curation

National Geothermal Data System

The National Geothermal Data System (NGDS) is a catalog of documents and datasets that provide information about geothermal resources located primarily within the United States (although information from other parts of the world is also included. The catalog, which is funded by t...

Office, D. and (DOE), U. National Renewable Energy Laboratory

Nov 25, 2014
1 Resources
0 Stars
In curation

NTB (Non-technical Barriers) Interviews with Geothermal Stakeholders for Geothermal Development in the Salton Sea.

Non-technical barriers to deploying geothermal electricity projects in the United States can create significant delays and other challenges, leading to higher project risk and costs, lost opportunities to access policy incentives, and ultimately decreased competitiveness against o...

Levine, A. and Smith, L. National Renewable Energy Laboratory

Oct 01, 2021
1 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
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Land of Opportunity: Geothermal, Land-based Wind, and Solar PV Potential on Federal Lands

This data packet contains supply curves and a composite siting exclusion TIFF for geothermal, land-based wind, and solar PV across the contiguous United States with specific consideration on federal lands. The supply curves offer comprehensive metrics such as capacity (MW) for eac...

Geospatial, N. National Renewable Energy Laboratory

Jan 01, 2025
28 Resources
0 Stars
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Coordinating Permit Offices and the Development of Utility-Scale Geothermal Energy

This study examines various forms of coordinating permit offices at the state and federal level in the western United States, discusses inefficiencies and mitigation techniques for permitting natural resource projects, analyzes whether various approaches are easily adaptable to ut...

Young, K. et al National Renewable Energy Laboratory

Sep 30, 2013
2 Resources
0 Stars
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NREL RSF Measured Data 2011

Sheppy, M. et al National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
0 Stars
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Hathaway Solar Patriot House

The Hathaway Solar Patriot House was a Building America field research case study from 2001 to 2004. A report on this project is available in this record or from the National Renewable Energy Laboratory. http://www.nrel.gov/docs/fy05osti/37731.pdf

Norton, P. and Laboratory, N. National Renewable Energy Laboratory

Jun 10, 2016
4 Resources
0 Stars
In curation

Geothermal Development and the Use of Categorical Exclusions Under NEPA

This study focuses primarily on the Categorial Exclusions (CX) process and its applicability to geothermal exploration. In this paper, we: Provide generalized background information on CXs, including previous NEPA reports addressing CXs, the process for developing CXs, and the ro...

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

Sep 30, 2014
4 Resources
0 Stars
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NREL RSF Energy Model 2011

Sheppy, M. et al National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
0 Stars
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GeoRePORT Case Studies 2019

The Geothermal Resource Portfolio Optimization and Reporting Technique (GeoRePORT) was developed with funding from the U.S. Department of Energy Geothermal Technologies Office to assist in identifying and pursuing long-term investment strategies through the development of a resour...

Kolker, A. National Renewable Energy Laboratory

Sep 16, 2019
1 Resources
0 Stars
In curation

U.S. Solar Photovoltaic System and Energy Storage Cost Benchmarks: Q1 2021

NREL has been modeling U.S. solar photovoltaic (PV) system costs since 2009. This year, our report benchmarks costs of U.S. PV for residential, commercial, and utility-scale systems, with and without storage, built in the first quarter of 2021 (Q1 2021). The methodology includes b...

Ramasamy and FeldmanNational Renewable Energy Laboratory

Nov 08, 2021
2 Resources
0 Stars
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U.S. Solar Photovoltaic BESS System Cost Benchmark Q1 2020 Report

Feldman. . et al National Renewable Energy Laboratory

Jan 26, 2021
1 Resources
0 Stars
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NREL Solar Radiation Research Laboratory (SRRL): Baseline Measurement System (BMS), Golden, Colorado

The Solar Radiation Research Laboratory (SRRL) was established at the Solar Energy Research Institute (now NREL) in 1981 to provide continuous measurements of the solar resources, outdoor calibrations of pyranometers and pyrheliometers, and to characterize commercially available i...