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Bouira University Digital Space

Description archive of our university and/or Remarks: The University of Bouira offers visitors from Bouira University Digital Space a free downloadable files (memories doctoral, master, master, courses in different technological and literary disciplines, proceedings of scientif...
Chettabi, . National Renewable Energy Laboratory
Jan 08, 2000
1 Resources
0 Stars
In curation

High Resolution Ocean Surface Wave Hindcast (US Wave) Data

The development of this dataset was funded by the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, Water Power Technologies Office to improve our understanding of the U.S. wave energy resource and to provide critical information for wave energy project de...
Yang, Z. et al National Renewable Energy Laboratory
Jul 01, 2020
6 Resources
0 Stars
Publicly accessible

2008 International Coal Reserves

Based on data from the U.S. Energy Information Administration (EIA), these datasets represent International Coal Reserves as of 2008. The data have been transformed into open data formats and ranked by total reserve.
Weers, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
5 Resources
0 Stars
In curation

DOT rate and revenues summary to 1995

The data included in this submission is United States Department of Transportation (DOT) data on rates and revenue statistics up to 1995. The data includes state motor-fuel tax receipts, 1919-1995, state motor fuel taxes and related receipts, 1950-1995, and state and federal moto...
Hill, G. and (DOT), U. National Renewable Energy Laboratory
Jul 29, 2014
4 Resources
0 Stars
In curation

Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Beckers, K. et al National Renewable Energy Laboratory
Oct 20, 2021
6 Resources
0 Stars
Publicly accessible

Combined Wind/Wave Hurricane Model

The Combined Hurricane Model data is a collaboration between the National Renewable Energy Laboratory (NREL) and researchers at the University of Miami and University of Texas at Austin. The model is unique in that it offers time-aligned predictions of full field atmospheric data ...
Phillips, C. and Laboratory, N. National Renewable Energy Laboratory
May 06, 2015
1 Resources
0 Stars
In curation

AASG Wells Data for the EGS Test Site Planning and Analysis Task

AASG Wells Data for the EGS Test Site Planning and Analysis Task Temperature measurement data obtained from boreholes for the Association of American State Geologists (AASG) geothermal data project. Typically bottomhole temperatures are recorded from log headers, and this informat...
Augustine, C. National Renewable Energy Laboratory
Oct 09, 2013
1 Resources
0 Stars
Publicly accessible

DOT Motor-fuel use statistics summary to 1995

The data included in this submission is United States Department of Transportation (DOT) data up to 1995. The data includes motor-fuel gallonage taxes 1950-1995, motor-fuel use 1919-1995, private and commercial highway use of special fuels, by state 1949-1995, highway use of gasol...
Hill, G. and (DOT), U. National Renewable Energy Laboratory
Jul 29, 2014
7 Resources
0 Stars
In curation

University of Miami Coupled Model (UMCM) for Hurricanes Ike and Sandy

The University of Miami Coupled Model (UMCM) is a coupled model that integrates atmospheric, wave, and ocean components to produce wind, wave, and current data. Atmospheric data is produced using the [Weather Research and Forecasting model](https://www.mmm.ucar.edu/weather-researc...
Phillipes, C. et al National Renewable Energy Laboratory
Sep 30, 2015
5 Resources
0 Stars
Publicly accessible

Closed National Forest Service Lands: Geothermal Leases Not Permitted

The U.S. Bureau of Land Management (BLM) released a series of GIS layers of National Forest Service Lands that area closed to goethermal leasing (leases are not granted in these areas). The various types of areas included in this set of GIS layers are: National Monuments, National...
Hallett, K. and (BLM), U. National Renewable Energy Laboratory
Jul 29, 2014
5 Resources
0 Stars
In curation

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
0 Stars
Publicly accessible

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 accessible...
Mullane, M. et al National Renewable Energy Laboratory
Jun 30, 2016
3 Resources
0 Stars
Publicly accessible

Closed BLM Public Lands: Geothermal Leases Not Permitted

The U.S. Bureau of Land Management (BLM) released a series of GIS layers of public lands closed to geothermal leases (obtaining leases is not permitted in these regions). The various types of closed areas included here are: National Monuments, National Recreation Areas, National C...
Hill, G. and (BLM), U. National Renewable Energy Laboratory
Jun 30, 2010
5 Resources
0 Stars
In curation

WEC-Sim Wave Energy Converter Simulator

WEC-Sim (Wave Energy Converter SIMulator) is an open-source wave energy converter (WEC) simulation tool. The code is developed in MATLAB/SIMULINK using the multi-body dynamics solver SimMechanics. WEC-Sim has the ability to model devices that are comprised of rigid bodies, pow...
Lawson, M. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation

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

Geothermal Exploration Cost and Time Metric

The National Renewable Energy Laboratory (NREL) was tasked with developing a metric in 2012 to measure the impacts of RD&D funding on the cost and time required for geothermal exploration activities. The development of this cost and time metric included collecting cost and time da...
Jenne, S. et al National Renewable Energy Laboratory
Jan 01, 2013
1 Resources
0 Stars
Publicly accessible

Geothermal Exploration Cost and Time

This paper describes the methodology used to define the baseline exploration suite of techniques (baseline), as well as the approach that was used to create the cost and time data set that populates the baseline. The resulting product, an online tool for measuring impact, and the ...
Jenne, S. National Renewable Energy Laboratory
Feb 13, 2013
1 Resources
0 Stars
Publicly accessible

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

Curated Test Fault Data Set

The curated fault experiment data set consists of tagged and fully described time series representing measured faults from the AFDD test building (ORNLs Flexible Research Platform [FRP]), including baseline performance and faulty performance. A total of 10 different faults are tes...
Kim, J. et al National Renewable Energy Laboratory
Sep 24, 2019
3 Resources
0 Stars
Publicly accessible

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
0 Stars
Publicly accessible

MOIS LabVIEW Software

Software developed in LabVIEW for the Modular Ocean Instrumentation System (MOIS) is provided. Two documents: MOIS User's Guide and MOIS Software Developer's Guide are included in the submission.
Nelson, E. National Renewable Energy Laboratory
Dec 03, 2015
3 Resources
0 Stars
Publicly accessible

Geothermal Exploration Cost and Time

The Department of Energy's Geothermal Technology Office (GTO) provides RD&D funding for geothermal exploration technologies with the goal of lowering the risks and costs of geothermal development and exploration. The National Renewable Energy Laboratory (NREL) was tasked with deve...
JenneNational Renewable Energy Laboratory
Dec 21, 2014
2 Resources
0 Stars
Publicly accessible

TEAMER: Numerical Modeling and Optimization of the iProTech Pitching Inertial Pump (PIP) Wave Energy Converter (WEC)

This project focused on developing an automated workflow to evaluate and optimize the iProTech Pitching Inertial Pump (PIP) wave energy converter (WEC) using open-source Python packages and the MATLAB/Simulink tool, WEC-Sim. The process involved parameterizing key design variables...
Wynn, N. et al National Renewable Energy Laboratory
Apr 11, 2024
1 Resources
0 Stars
Publicly accessible

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
Publicly accessible

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
0 Stars
Publicly accessible
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