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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
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Fuel Cell Inverter Transition Between Modes of Operation (Grid-Forming and Grid-Following)

This data set shows the operation of the fuel cell inverter under grid-forming mode of operation, grid-following mode of operation and transition between the two modes.

Nemsow, . et al National Renewable Energy Laboratory

Dec 23, 2024
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Fuel Cell Inverter Dataset

This data set contains the three phase AC voltage, three phase AC current, DC voltage and DC current. These data sets were captured during fuel cell inverter operation in grid-connected dispatch, islanded load changes, transition from grid-connected mode to islanded mode and vice-...

Prabakar, . et al National Renewable Energy Laboratory

Oct 21, 2024
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Battery Inverter Experimental Data

The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 30 kW off-the-shelf grid following battery inverter in the experiments. We used controllable AC supply...

Prabakar, . et al National Renewable Energy Laboratory

Jan 06, 2023
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PV Inverter Experimental Dataset Version 2 with 100 Percent Power

The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 20 kW off-the-shelf grid following PV inverter in the experiments. We used controllable AC supply and ...

Prabakar, . et al National Renewable Energy Laboratory

Nov 10, 2023
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PV Inverter Experimental Data

The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 20 kW off-the-shelf grid following PV inverter in the experiments. We used controllable AC supply and ...

Prabakar, . et al National Renewable Energy Laboratory

Jan 06, 2023
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Split Phase Inverter Data

The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 8.35 kW off-the-shelf grid following split phase PV inverter in the experiments. We used controllable ...

Prabakar, . et al National Renewable Energy Laboratory

Mar 23, 2023
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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
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FCIC FY18 LT-baseline Feedstock Images

Set of images taken during pilot plant dilute-acid hydrolysis preatreatment reactor operation. Images were taken with a GoPro Hero 5 with rectilinear lens facing downwards on a weigh-belt instrument. Image period was every 30 seconds during operation. This image set is connec...

SieversNational Renewable Energy Laboratory

Jul 24, 2020
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United States County-Level Industrial Energy Use

Estimated industrial manufacturing agriculture construction and mining energy estimated by North American Industrial Classification System NAICS code county and fuel type for 2014. Additional disaggregation by end use e.g. machine drive process heating facility lighting is provide...

McMillan and NarwadeNational Renewable Energy Laboratory

Sep 27, 2018
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dGen (Distributed Generation Market Demand) Model Data: Version 1.0.0 Agents

Open sourced agent files needed to run version 1.0.0 of the dGen model. Contains all national, ISO, and state level residential and commercial agents.

Stanley, . et al National Renewable Energy Laboratory

Aug 10, 2021
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Quantifying and Monetizing Renewable Energy Resiliency

As part of the seed LDRD in 2017 we generated catastrophe models to look at the value of resiliency from an insurance perspective. These data sets reflect the inputs and outputs of that analysis.

Lisell, . et al National Renewable Energy Laboratory

Mar 13, 2018
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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
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NREL Price Series Developed for the ARPA-E FLECCS Program

The price data for four regions (CAISO, ERCOT, MISO-W, and PJM-W) are developed using the ReEDS to PLEXOS conversion as described in (Gagnon et al. 2020). The reference ReEDS case chosen is based on the 2020 Standard Scenario Mid-case, which uses the 2020 ReEDS model version (Cole...

Cohen and DurvasuluNational Renewable Energy Laboratory

Dec 23, 2021
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Thermal Cooling Water Datasets for Electric Sector Modeling

This spreadsheet contains data inputs associated with representations of water (i.e., use, supply, costs) for thermo-electric based production. Values in this spreadsheet have been used to support multiple transmission-related planning studies, using models such as Regional Energy...

Cohen, . et al National Renewable Energy Laboratory

Sep 09, 2024
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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
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Assessing Total Cost of Driving Competitiveness of Zero-Emission Trucks

This file includes supporting data on modeled medium and heavy-duty vehicle (MHDV) stock, sales, energy consumption, greenhouse gas (GHG) emissions, and total cost of driving (TCD) for the scenarios presented in "Assessing Total Cost of Driving Competitiveness of Zero-Emission Tru...

Ledna, . et al Center for Integrated Mobility Sciences

Feb 27, 2024
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LA100 Equity Strategies: Rates and Affordability Report Data Appendices

Appendix data tables to accompany LA100 Equity Strategies Chapter 5: Rates and Affordability

Bowen and SimeoneNational Renewable Energy Laboratory

Jul 25, 2023
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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
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Projecting California Light-Duty Vehicle Attributes (2019-2035): Appendix B

This data appendix contains supporting tables for the report titled "Projecting California Light-Duty Vehicle Attributes (2019-2035)". These tables contain data for the following projected vehicle attributes: acceleration, fuel economy, MSRP, vehicle range, and the number of vehic...

Ledna, . et al National Renewable Energy Laboratory

Sep 15, 2022
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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
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NREL U.S. Solar Photovoltaic System Cost Benchmark Q1 2016 Report

Excel data file for the U.S. Solar Photovoltaic System Cost Benchmark Q1 2016 Report

Fu, . et al National Renewable Energy Laboratory

Sep 16, 2016
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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
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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
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Duke Energy Carbon-Free Resource Integration Study

Supporting data for the Phase 2 of the Duke Energy Carbon-Free Resource Integration Study, which studied pathways to meeting emissions reduction targets in the Carolinas. The data sets include results from two modeling components of the study: capacity expansion modeling using ReE...

Sergi, . et al National Renewable Energy Laboratory

Aug 10, 2022
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