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Renewable Electricity Futures Study Volume One
Renewable Electricity Futures Study Volume One. This is part of a series of four volumes describing exploring a high-penetration renewable electricity future for the United States of America. This data set is provides data for the entire volume one document and includes all data f...
Hand. . et al National Renewable Energy Laboratory
Jan 19, 2016
3 Resources
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3 Resources
0 Stars
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NREL U.S. Solar Photovoltaic System Cost Benchmark Q1 2017 Report
Excel data file for the U.S. Solar Photovoltaic System Cost Benchmark Q1 2017 Report
Fu. . et al National Renewable Energy Laboratory
Aug 23, 2017
1 Resources
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1 Resources
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2017 Annual Technology Baseline (ATB): Cost and Performance Data for Electricity Generation Technologies
Each year since 2015, NREL has presented Annual Technology Baseline (ATB) in a spreadsheet that contains detailed cost and performance data (both current and projected) for renewable and conventional technologies. The spreadsheet includes a workbook for each technology. This sprea...
Hand. . et al National Renewable Energy Laboratory
Aug 21, 2017
1 Resources
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1 Resources
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Visualization Encoding Experiments for Power Systems Analysis
Through a human factors study, we evaluated the use of contour and glyph visualizations for two modern power systems models: an urban distribution model and a large-scale transmission model. This dataset provides model data and scripts for recreating the power flow data and visual...
Gruchalla. . et al National Renewable Energy Laboratory
Oct 26, 2022
4 Resources
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4 Resources
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Low-Temperature Hydrothermal Resource Potential Estimate
Compilation of data (spreadsheet and shapefiles) for several low-temperature resource types, including isolated springs and wells, delineated area convection systems, sedimentary basins and coastal plains sedimentary systems. For each system, we include estimates of the accessibl...
Mullane, M. et al National Renewable Energy Laboratory
Jun 30, 2016
4 Resources
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4 Resources
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United States Renewable Energy Technical Potential
Renewable energy technical potential as defined in this report represents the achievable energy generation of a particular technology given system performance, topographic limitations, environmental, and land-use constraints.
The primary benefit of assessing technical potential...
Lopez, A. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
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In curation
4 Resources
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In curation
DEEPEN Global Standardized Categorical Exploration Datasets for Magmatic Plays
DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments.
As part of the development of the DEEPEN 3D play fairway analysis (PFA) methodology for magmatic plays (conventional hydrothermal, superhot EGS, and supercritical), weights needed to be develop...
Taverna, N. et al National Renewable Energy Laboratory
Jun 30, 2023
4 Resources
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4 Resources
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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
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In curation
1 Resources
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In curation
U.S. Solar Photovoltaic System Cost Benchmark Q1 2018
NREL has been modeling U.S. photovoltaic PV system costs since 2009. The U.S. Solar Photovoltaic System CostBenchmark Q1 2018 report benchmarks costs of U.S. solar PV for residential commercial and utility-scale systems built in the first quarter of 2018 Q1 2018. THE methodology i...
Fu. . et al National Renewable Energy Laboratory
Mar 15, 2019
1 Resources
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1 Resources
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A Dataset of Cyber-Induced Mechanical Faults on Buildings with Network and Buildings Data
We have collected data of cyber-induced mechanical faults on buildings using a simulation platform. A DOE reference building model was used for running the simulation under a Rogue device attack and collected the network data as well as the physical buildings data to better unders...
Balamurugan. . et al National Renewable Energy Laboratory
Jan 29, 2023
12 Resources
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12 Resources
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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs
Subsurface data analysis, reservoir modeling, and machine learning (ML) techniques have been applied to the Brady Hot Springs (BHS) geothermal field in Nevada, USA to further characterize the subsurface and assist with optimizing reservoir management. Hundreds of reservoir simulat...
Beckers, K. et al National Renewable Energy Laboratory
Feb 18, 2021
1 Resources
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1 Resources
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Weather Data for Buildings Energy Simulations
This is weather data required for use in building energy simulations, including ResStock and OpenStudio-HPXML workflows.
MerketNational Renewable Energy Laboratory
Feb 18, 2020
23 Resources
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23 Resources
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Grid Service Values of Generic Marginal Building Flexibility in Modeled 2030 U.S. Power Systems
The datasets include the capacity, energy, and ancillary service values of a marginal kilowatt-hour (kWh) of generic, daily, shiftable building flexibility as a presumed market entrant in the 2030 U.S. power systems. The results should be interpreted along with the caveats listed ...
Zhou. . et al National Renewable Energy Laboratory
Jan 12, 2021
36 Resources
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36 Resources
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Industrial Process Heat Demand Characterization
This data set is an expansion of the facility-level process heat survey conducted by McMillan et al. 2015 https//doi.org/10.2172/1334495. Using the same methodology annual facility combustion energy use was calculated from emissions data reported to U.S. Environmental Protection A...
McMillan and RuthNational Renewable Energy Laboratory
Jul 05, 2018
1 Resources
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1 Resources
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Bifacial Vertical Testbed and Ground Irradiance Data in Golden, Colorado
This data was collected for Tonita et al., “Vertical bifacial photovoltaic system model validation: study with field data, various orientations, and latitudes,” for validation of optical models for vertically-oriented photovoltaics under high albedo. Ground irradiance data for...
Ovaitt. . et al National Renewable Energy Laboratory
Dec 06, 2024
3 Resources
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3 Resources
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Sample IEEE123 Bus system for OEDI SI
Time series load and PV data from an IEEE123 bus system. An example electrical system, named the OEDI SI feeder, is used to test the workflow in a co-simulation. The system used is the IEEE123 test system, which is a well studied test system (see link below to IEEE PES Test Feeder...
Elgindy, T. and Balasubramaniam, K. National Renewable Energy Laboratory
Sep 01, 2022
4 Resources
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4 Resources
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ResStock Communities Local Energy Action Program (Communities LEAP) Pilot Residential Housing Analysis
Data is associated with Report "ResStock Communities LEAP Pilot Residential Housing Analysis Detailed Methodology" by Lixi Liu, Jes Brossman, Yingli Lou technical report number NREL/TP-5500-88058. Results outline the potential impacts of the energy efficiency and electrification r...
Liu. . et al National Renewable Energy Laboratory
Nov 28, 2023
11 Resources
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11 Resources
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Opportunities for Solar for Industrial Process Heat in the United States
Figure data for report on opportunities for solar technologies to provide industrial process heat in the United States (NREL/TP-6A20-77760).
McMillan. . et al National Renewable Energy Laboratory
Dec 24, 2020
22 Resources
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22 Resources
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REopt Lite Geothermal Heat Pump Design Requirements
This document describes the design requirements for the geothermal heat pump (GHP) module being added to the existing REopt Lite web tool. This document describes the purpose, users, and functional requirements to which the modified web tool shall conform. This document will be re...
Olis, D. National Renewable Energy Laboratory
Mar 08, 2021
4 Resources
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4 Resources
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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
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2 Resources
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DEPRECATED: dGen (Distributed Generation Market Demand) Model Data: Alpha Release
DEPRECATED. DO NOT USE. See current version at https://dx.doi.org/10.7799/1812548. See active link below in the resources section. Open sourced data needed to run the basic alpha release version of the dGen model. Includes a pre-generated agent file of 100,000 agents in pickl...
Stanley. . et al National Renewable Energy Laboratory
Apr 01, 2020
10 Resources
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10 Resources
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U.S. Solar Photovoltaic BESS System Cost Benchmark Q1 2020 Report
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 2020 (Q1 2020). The methodology includes b...
Feldman. . et al National Renewable Energy Laboratory
Jan 26, 2021
1 Resources
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1 Resources
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Planning for the Evolution of the Electric Grid with a Long-Run Marginal Emission Rate Data and Code
Data and code generated for the paper "Planning for the evolution of the electric grid with a long-run marginal emission rate," Pieter Gagnon and Wesley Cole, 2022.
Gagnon and ColeNational Renewable Energy Laboratory
Feb 02, 2022
5 Resources
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5 Resources
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CloudCV 10-Second Sky Images and Irradiance Dataset
The CloudCV 10-Second Sky Image and Irradiance Dataset contains sky images and irradiance measurements recorded every 10 seconds during daylight hours for 90 days between September 5th to December 3rd, 2019. The dataset was collected at the National Renewable Energy Laboratory (NR...
Perr-Sauer. . et al National Renewable Energy Laboratory
Oct 01, 2024
9 Resources
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9 Resources
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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
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6 Resources
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