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Testing LCM on a Large Scale for Geothermal Drilling Applications Using a Novel Experimental Setup

Rheology data obtained from flow loop tests, performed using different lost circulation materials (LCM) to study their effect on fluid rheology and wellbore hydraulics. The sealing performance of different LCM was tested using different fracture sizes. Five academic papers / repor...

Mohamed, A. et al University of Oklahoma

Apr 22, 2022
10 Resources
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SMP Preparation, Programming, and Characterization

The problem of loss circulation in geothermal wells is inherently challenging due to high temperatures, brittle rocks, and presence of abundant fractures. Because of the inherent challenges in geothermal environments, there are limitations in selecting proper lost circulation mate...

Salehi, S. et al University of Oklahoma

Oct 01, 2021
4 Resources
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Lost Circulation Materials in Geothermal Drilling: Thermal Degradation, Viscosity, Compression, and Flow Loop Tests

This dataset provides a set of experimental data on the performance of lost circulation materials (LCMs) used in geothermal drilling operations. It includes results from four distinct tests: thermal degradation, viscosity measurements, compression tests, and high-temperature flow ...

Kibikas, W. et al Sandia National Laboratories

Feb 01, 2022
9 Resources
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Smart Grid Data from the American Recovery and Reinvestment Act (ARRA) Projects

The data provided in this Excel spreadsheet is the final data that was collected through the Smart Grid Data Hub and provided by the individual Smart Grid Investment Grant (SGIG) project recipients. The project recipients represent utilities from across the country who received f...

Brodt-Giles, D. and Laboratory, N. National Renewable Energy Laboratory

Jun 02, 2015
2 Resources
0 Stars
In curation

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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SGIG Program Advanced Metering Infrastructure (AMI) Assets Deployed and Expenditures

This file contains smart grid data (current as of the time and date stamp shown above) for ARRA funded smart grid projects. All of the data in this file is considered publically available, and is not marked sensitive. This data provides details regarding the deployment of ...

Huggins, J. and SmartGrid.gov, . National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
0 Stars
In curation

SmartGrid.gov Quarterly Data Summaries

This dataset represents a historical repository of all the numerical data from the smartgrid.gov website condensed into spreadsheets to enable analysis of the data. Below are a couple of things worth noting: * The data visible on the smartgrid.gov website is dynamic. As new d...

Lewis, J. and SmartGrid.gov, . National Renewable Energy Laboratory

Nov 25, 2014
6 Resources
0 Stars
In curation

Workplace Charging Data

A data set gathered and maintained by NREL that tracks over 300 vehicles during the course of a 4-year period and how they behave in a workplace charging capacity. The data is further enriched by examining the effect of free charging versus paid charging. There is also a distincti...

Neuman, . et al National Renewable Energy Laboratory

Jan 04, 2022
2 Resources
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Open Energy Information (OpenEI.org)

Open Energy Information (OpenEI) is a knowledge-sharing online community dedicated to connecting people with the latest information and data on energy resources from around the world. Created in partnership with the United States Department of Energy and federal laboratories acros...

Brodt-Giles, D. and (EERE), O. National Renewable Energy Laboratory

Nov 25, 2014
1 Resources
0 Stars
In curation

TEAMER: Electrically Engaged Undulation System for Unmanned Underwater Vehicles

This TEAMER RFTS 1 (Request for Technical Support) project supported the flume tank testing of a long range, high endurance unmanned underwater vehicle (UUV) to monitor maritime space. Today, battery-powered remotely operated vehicles (ROVs) lack the duration to make persistent, w...

Lu, K. and Datla, R. Pyro-E

Oct 01, 2021
4 Resources
0 Stars
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Randomized Hourly Load Data for use with Taxonomy Distribution Feeders

This dataset was developed by NREL's distributed energy systems integration group as part of a study on high penetrations of distributed solar PV [1]. It consists of hourly load data in CSV format for use with the PNNL taxonomy of distribution feeders [2]. These feeders were deve...

Hoke, A. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
1 Resources
1 Stars
In curation

BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting

The BuildingsBench datasets consist of: Buildings-900K: A large-scale dataset of 900K buildings for pretraining models on the task of short-term load forecasting (STLF). Buildings-900K is statistically representative of the entire U.S. building stock. 7 real residential and com...

Emami, P. and Graf, P. National Renewable Energy Laboratory

Dec 31, 2018
6 Resources
1 Stars
Publicly accessible

UNH TDP Concurrent Measurements of Inflow, Power Performance, and Loads for a Grid-Synchronized Vertical Axis Cross-Flow Turbine Operating in a Tidal Estuary

This data was collected between October 12 and December 15 of 2021 at the University of New Hampshire (UNH) and Atlantic Marine Energy Center (AMEC) turbine deployment platform (TDP). This data set includes over 29 days of grid connected turbine operation during this 65 day time f...

Wosnik, M. et al National Renewable Energy Laboratory

Dec 21, 2021
30 Resources
0 Stars
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ARPA-E Grid Optimization (GO) Competition Challenge 3

Synthetic Input Data and Team Results for the GO Competition Challenge 3 for Events 1 4 and the Sandbox, along with problem and format descriptions and code to validate data and solutions, are available here. Data for industry scenarios will not be made public. The Grid Optimizat...

Elbert, S. et al Pacific Northwest National Laboratory

May 02, 2024
39 Resources
1 Stars
Publicly accessible