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Closed BLM public lands: Areas of Critical Environmental Concern (ACEC)
A GIS layer of Areas of Critical Environmental Concern (ACEC) that are within public lands managed by the U.S. Bureau of Land Management (BLM). The GIS layers were used by BLM in the nationwide Geothermal Resources Leasing Programmatic Environmental Impact Statement (PEIS). Some o...
Hill, G. and (BLM), U. National Renewable Energy Laboratory
Jul 29, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
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
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Utility Outage Information
Data about power company service areas and their announcements about outages are critical for the effective coordination of resources after disasters, and also for building community and neighborhood resilience. As part of the 2015 White House Mapathon, the Department of Energy's...
Weers, J. and Laboratory, N. National Renewable Energy Laboratory
Aug 28, 2015
4 Resources
0 Stars
In curation
4 Resources
0 Stars
In curation
AeroDyn V15.04: Design Tool for Wind and MHK Turbines
AeroDyn is a time-domain wind and MHK turbine aerodynamics module that can be coupled into the FAST version 8 multi-physics engineering tool to enable aero-elastic simulation of horizontal-axis wind turbines. AeroDyn V15.04 has been updated to include a cavitation check for MHK tu...
Murray, R. et al National Renewable Energy Laboratory
Apr 28, 2017
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Evaluation of the Performance of Houses With and Without Supplemental Dehumidification in a Hot-Humid Climate
Understanding indoor humidity conditions in low energy homes in hot-humid climates is critical to promoting long term occupant comfort, indoor air quality and building durability. The results of this study were expected to inform the residential building community on whether suppl...
Kerrigan, P. and Norton, P. National Renewable Energy Laboratory
Apr 27, 2016
7 Resources
0 Stars
Publicly accessible
7 Resources
0 Stars
Publicly accessible
Low-Temperature Geothermal Geospatial Datasets: An Example from Alaska
This project is a component of a broader effort focused on geothermal heating and cooling (GHC) with the aim of illustrating the numerous benefits of incorporating GHC and geothermal heat exchange (GHX) into community energy planning and national decarbonization strategies. To bet...
Davalos Elizondo, E. et al National Renewable Energy Laboratory
Feb 06, 2023
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
NREL GIS Data: Filtered Direct Normal Solar Resource for the Southwest United States (2 Percent Slope and Less)
Filtered (2% slope and less) direct normal solar resource data for the Southwest United States
This data provides filtered solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. Exclusions: Contiguous Area 1km squared;...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
NREL GIS Data: Filtered Direct Normal Solar Resource for the Southwest United States (3 Percent Slope and Less)
Filtered (3% slope and less) direct normal solar resource data for the Southwest United States
This data provides filtered solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. Exclusions: Contiguous Area 1km squared;...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
NREL GIS Data: Filtered Direct Normal Solar Resource for the Southwest United States (4 Percent Slope and Less)
Filtered (4% slope and less) direct normal solar resource data for the Southwest United States
This data provides filtered solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. Exclusions: Contiguous Area 1km squared;...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
NREL GIS Data: Filtered Direct Normal Solar Resource for the Southwest United States (5 Percent Slope and Less)
Filtered (5% slope and less) direct normal solar resource data for the Southwest United States
This data provides filtered solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. Exclusions: Contiguous Area 1km squared;...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 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
6 Resources
1 Stars
Publicly accessible
NREL GIS Data: Filtered Direct Normal Solar Resource for the Southwest United States (1 Percent Slope and Less)
Filtered (1% slope and less) direct normal solar resource data for the Southwest United States
This data provides filtered solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. Exclusions: Contiguous Area 1km squared;...
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 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
6 Resources
0 Stars
Publicly accessible
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
6 Resources
0 Stars
Publicly accessible
Wind Turbine Gearbox Condition Monitoring Vibration Analysis Benchmarking Datasets
Wind turbine condition monitoring (CM) can potentially help the wind industry reduce turbine downtime and operation and maintenance (O&M) cost. NREL CM research has investigated various condition-monitoring techniques such as acoustic emission (AE specifically stress wave), vibrat...
Sheng, S. National Renewable Energy Laboratory
Mar 28, 2014
5 Resources
2 Stars
Publicly accessible
5 Resources
2 Stars
Publicly accessible
Exploration Gap Assessment (FY13 Update)
This submission contains an update to the previous Exploration Gap Assessment funded in 2012, which identify high potential hydrothermal areas where critical data are needed (gap analysis on exploration data).
The uploaded data are contained in two data files for each data catego...
Esposito, A. et al National Renewable Energy Laboratory
Sep 30, 2013
36 Resources
0 Stars
Publicly accessible
36 Resources
0 Stars
Publicly accessible