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SMART-DS Synthetic Electrical Network Data OpenDSS Models for SFO, GSO, and AUS

The SMART-DS datasets (Synthetic Models for Advanced, Realistic Testing: Distribution systems and Scenarios) are realistic large-scale U.S. electrical distribution models for testing advanced grid algorithms and technology analysis. This document provides a user guide for the data...

Palmintier, B. et al National Renewable Energy Laboratory (NREL)

Dec 18, 2020
5 Resources
1 Stars
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Sup3rWind Data (CONUS)

This data contains paired European Centre for Medium-Range Weather Forecasts Reanalysis version 5 (ERA5) and the Wind Integration National Dataset Toolkit (WTK) images for 2007 and 2010 over two regions in the US, with domain sizes ~800x800 (latitudes from 25.89 to 41.58, and long...

Sinha, S. et al National Renewable Energy Laboratory (NREL)

Jul 16, 2024
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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
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DOE Buildings Performance Database, sample Residential data

* This is a non-proprietary subset of DOE's Buildings Performance Database. Buildings from the cities of Dayton, OH and Gainesville, FL areas are provided as an example of the data in full database. * Sample data here is formatted as CSV * The Buildings Performance Database will...

Shah, M. and (EERE), O. National Renewable Energy Laboratory

Nov 25, 2014
7 Resources
0 Stars
In curation

Caldwell Ranch Exploration and Confirmation Project, Northwest Geysers, CA: 2011 Geothermal Technologies Peer Review Project Summary

Caldwell Ranch Exploration and Confirmation Project, Northwest Geysers, CA: 2011 Geothermal Technologies Peer Review Project Summary The Caldwell Ranch Exploration and Confirmation Project was to drill, test, and confirm the present economic viability of the undeveloped geothermal...

Walters, M. Geysers Power Company, LLC

Jan 01, 2011
1 Resources
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Fully Coupled Geomechanics and Discrete Flow Network Modeling of Hydraulic Fracturing for Geothermal Applications

The primary objective of our current research is to develop a computational test bed for evaluating borehole techniques to enhance fluid flow and heat transfer in enhanced geothermal systems (EGS). Simulating processes resulting in hydraulic fracturing and/or the remobilization of...

Fu, P. et al Lawrence Livermore National Laboratory

Jan 01, 2011
2 Resources
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Air Pollutant Emissions Inventory of Large-Scale Production of Selected Biofuels Feedstocks in 2022 supporting data

Data provided are numeric results used to plot the maps/figures presented in the paper “Air Pollutant Emissions Inventory of Large-Scale Production of Selected Biofuels Feedstocks in 2022” ([DOI: 10.1002/bbb.1620](http://onlinelibrary.wiley.com/doi/10.1002/bbb.1620/full)). ...

Zhang, Y. National Renewable Energy Laboratory

Oct 05, 2015
13 Resources
0 Stars
In curation

Material Properties for Brady Hot Springs Nevada USA from PoroTomo Project

The PoroTomo team has completed inverse modeling of the three data sets (seismology, geodesy, and hydrology) individually, as described previously. The estimated values of the material properties are registered on a three-dimensional grid with a spacing of 25 meters between nodes....

Feigl, K. and PoroTomo Team, . University of Wisconsin

Mar 06, 2019
10 Resources
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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
0 Stars
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INTEGRATE Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements

The INTEGRATE (Inverse Network Transformations for Efficient Generation of Robust Airfoil and Turbine Enhancements) project is developing a new inverse-design capability for the aerodynamic design of wind turbine rotors using invertible neural networks. This AI-based design techno...

Vijayakumar, G. et al National Renewable Energy Laboratory (NREL)

May 04, 2021
8 Resources
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Error-Level-Controlled Synthetic Forecasts for Renewable Generation

Renewable energy resources, including solar and wind energy, play a significant role in sustainable energy systems. However, the inherent uncertainty and intermittency of renewable generation pose challenges to the safe and efficient operation of power systems. Recognizing the imp...

Zhang, X. et al National Renewable Energy Laboratory (NREL)

Jun 01, 2021
3 Resources
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UNH TDP Shark Meter Raw Data and Processing Scripts Fall 2021

This submission contains raw Shark Power Meter data and processing scripts associated with MHKDR submission 394 (UNH TDP Concurrent Measurements of Inflow, Power Performance, and Loads for a Grid-Synchronized Vertical Axis Cross-Flow Turbine Operating in a Tidal Estuary, DOI: 10.1...