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Unified Field Study 1 (UFS-1)
The Unified Field Studies (UFS), established by the Algae Testbed Public-Private Partnership (ATP3), produced data on the effect of environmental and process conditions on algal growth rates and algal composition. The goal of the UFS-1 experiment, performed October to December 201...
Wolfrum, E. et al National Renewable Energy Laboratory
Sep 27, 2016
16 Resources
0 Stars
Publicly accessible
16 Resources
0 Stars
Publicly accessible
EU Energy Statistics 2010 (1990 2007)
[European Commission]: http://ec.europa.eu/about_en.htm
These two datasets include energy statistics for the European Union (EU). The statistics are available from the [European Commission][]. The data includes detailed information about: production, net imports, gross inland con...
Hallett, K. and Commission, E. National Renewable Energy Laboratory
Jul 29, 2014
3 Resources
0 Stars
In curation
3 Resources
0 Stars
In curation
Long-term electricity and gas consumption for LBNL Building 74
15 minute electricity and 5 minute natural gas consumption data for Building 74 on the Lawrence Berkeley National Lab campus.
Langevin, J. Lawrence Berkeley National Laboratory
Jul 20, 2015
2 Resources
1 Stars
In curation
2 Resources
1 Stars
In curation
BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset
The BUTTER-E Energy Consumption Data for the BUTTER Empirical Deep Learning Dataset adds node-level energy consumption data from watt-meters to the primary sweep of the BUTTER Empirical Deep Learning Dataset. This dataset contains energy consumption and performance data from 63,52...
Tripp, C. et al National Renewable Energy Laboratory
Dec 30, 2022
9 Resources
1 Stars
Curated
9 Resources
1 Stars
Curated
Utility-Scale Solar, 2024 Edition: Analysis of Empirical Plant-level Data from U.S. Ground-mounted PV, PV+battery, and CSP Plants (exceeding 5 MWAC)
Berkeley Labs "Utility-Scale Solar", 2024 Edition presents analysis of empirical plant-level data from the U.S. fleet of ground-mounted photovoltaic (PV), PV+battery, and concentrating solar-thermal power (CSP) plants with capacities exceeding 5 MWAC. While focused on key developm...
Seel, J. et al Lawrence Berkeley National Lab
Sep 27, 2024
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
Wind Turbine Transmission Setbacks: Ordinances (2022) and Extrapolated Trends, 115 Hub Height 170 Rotor Diameter
This dataset represents wind energy setback requirements from transmission based on existing county ordinances as of April 2022. A setback requirement is a minimum distance from transmission infrastructure that an energy project may be developed, and these varied widely across the...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
Wind Turbine Structure Setbacks: Ordinances (2022) and Extrapolated Trends, 115 Hub Height 170 Rotor Diameter
This dataset represents wind energy setback requirements from structures based on existing county ordinances as of April 2022. A setback requirement is a minimum distance from a structure that an energy project may be developed, and these varied widely across the counties in which...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
Wind Turbine Railroad Setbacks: Ordinances (2022) and Extrapolated Trends, 115 Hub Height 170 Rotor Diameter
This dataset represents wind energy setback requirements from railroad based on existing county ordinances as of April 2022. A setback requirement is a minimum distance from a railroad that an energy project may be developed, and these varied widely across the counties in which th...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
Wind Turbine Road Setbacks: Ordinances (2022) and Extrapolated Trends, 115 Hub Height 170 Rotor Diameter
This dataset represents wind energy setback requirements from roads based on existing county ordinances as of April 2022. A setback requirement is a minimum distance from a road that an energy project may be developed, and these varied widely across the counties in which they exis...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
Solar PV Structure Setbacks: Ordinances (2022) and Extrapolated Trends
This dataset represents solar energy setback requirements from structures based on county ordinances as of April 2022. A setback requirement is a minimum distance from a structure that an energy project may be developed, and these varied widely across the counties in which they ex...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
Solar PV Water Setbacks: Ordinances (2022) and Extrapolated Trends
This dataset represents solar energy setback requirements from bodies of water based on county ordinances as of April 2022. A setback requirement is a minimum distance from water that an energy project may be developed, and these varied widely across the counties in which they exi...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
Solar PV Road Setbacks: Ordinances (2022) and Extrapolated Trends
This dataset represents solar energy setback requirements from roads based on county ordinances as of April 2022. A setback requirement is a minimum distance from a road that an energy project may be developed, and these varied widely across the counties in which they existed. Two...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
Operational water consumption and withdrawal factors for electricity generating technologies
This dataset is from the report _Operational water consumption and withdrawal factors for electricity generating technologies: a review of existing literature_ (J. Macknick, R. Newmark, G. Heath and K.C. Hallett) and provides estimates of operational water withdrawal and water con...
Hill, G. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
In curation
4 Resources
0 Stars
In curation
Alaska Coal Geology: GIS Data
Estimated Alaska coal resources are largely in Cretaceous and Tertiary rocks distributed in three major provinces. Northern Alaska-Slope, Central Alaska-Nenana, and Southern Alaska-Cook Inlet. Cretaceous resources, predominantly bituminous coal and lignite, are in the Northern Ala...
Hallett, K. and USGS, . National Renewable Energy Laboratory
Sep 18, 2005
4 Resources
0 Stars
In curation
4 Resources
0 Stars
In curation
EIA Annual Energy Outlook for 2011: All Tables
The EIA's annual energy outlook (AEO) contains yearly projections for a variety of energy-related statistics, for several forecast cases. According to EIA, "under the assumption that current laws and regulations remain unchanged throughout the projections, the AEO2011_ Reference c...
Bush, B. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
In curation
4 Resources
0 Stars
In curation
Comparative Performance of Four Prototype Mechanical Building Cooling Systems in a Desert Climate
Data and result of approximately fifteen months of monitoring of four houses located in the desert climate of Borrego Springs, California. Four houses were constructed using identical floor plans but differing wall materials, and different cooling systems that were designed to red...
Springer, D. et al Davis Energy
Jul 20, 2016
9 Resources
0 Stars
Curated
9 Resources
0 Stars
Curated
Ridgelines: Department of Interior Definition
This dataset represents ridgelines as defined by the Department of Interior (DOI): "Areas within 660 feet of the top of the ridgeline, where a ridgeline has at least 150 feet of vertical elevation gain with a minimum average slope of 10 percent between the ridgeline and the base."...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
3 Resources
0 Stars
Curated
3 Resources
0 Stars
Curated
ARPA-E Grid Optimization (GO) Competition Challenge 2
The ARPA-E Grid Optimization (GO) Competition Challenge 2, from 2020 to 2021, expanded upon the problem posed in Challenge 1 by adding adjustable transformer tap ratios, phase shifting transformers, switchable shunts, price-responsive demand, ramp rate constrained generators and l...
Elbert, S. et al Pacific Northwest National Laboratory
Sep 20, 2024
29 Resources
0 Stars
Curated
29 Resources
0 Stars
Curated
Fairbanks Timber Sales (2007)
This .kml file allows you to view (in Google Earth) timber sales sold by the State of Alaska, Department of Natural Resources, Devision of Forestry, Fairbanks Area, between 1963 and 2007. The purpose of this map is to compile all the timber sales in one dataset to allow querying o...
Hallett, K. and (AEDI), A. National Renewable Energy Laboratory
May 31, 2007
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Anemometer Data (Wind Speed, Direction) for Pascua Yaqui, AZ (2003 2004)
Wind data collected from Pascua Yaqui Indian Reservation in Arizona from an anemometer as part of the Native American anemometer loan program. Monthly mean wind speed is available for 2003 through 2004, as is wind direction and turbulence data. Data is reported from a height of 20...
Jimenez, T. and (EERE), O. National Renewable Energy Laboratory
Nov 25, 2014
4 Resources
0 Stars
In curation
4 Resources
0 Stars
In curation
Wind Turbine Water Setbacks: Ordinances (2022) and Extrapolated Trends, 115 Hub Height 170 Rotor Diameter
This dataset represents wind energy setback requirements from water based on existing county ordinances as of April 2022. A setback requirement is a minimum distance from water that an energy project may be developed, and these varied widely across the counties in which they exist...
Geospatial Data Science, N. and Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2024
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
Solar-to-Grid Public Data File for Utility-scale (UPV) and Distributed Photovoltaics (DPV) Generation, Capacity Credit, and Value
Lawrence Berkeley National Laboratory (Berkeley Lab) estimates hourly project-level generation data for utility-scale solar projects and hourly county-level generation data for residential and non-residential distributed photovoltaic (PV) systems in the seven organized wholesale m...
Seel, J. et al Lawrence Berkeley National Lab
Sep 30, 2020
5 Resources
0 Stars
Curated
5 Resources
0 Stars
Curated
Annual Renewable Electricity Net Generation by Country (1980 2009)
Total annual renewable electricity net generation by country, 1980 to 2009 (available in Billion Kilowatt-hours or as Quadrillion Btu). Compiled by Energy Information Administration (EIA).
WikiSysop, . and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation
3 Resources
0 Stars
In curation
Electric Power Monthly Monthly Data Tables
U.S. monthly electricity generation figures from 2008 to 2010 (and the fuel consumed to produce it) by state. Original source information from the [U.S. Energy Information Administration (EIA)](http://www.eia.doe.gov/cneaf/electricity/epa/epa_sprdshts_monthly.html).
Wood, J. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
3 Resources
0 Stars
In curation
3 Resources
0 Stars
In curation
Evaluation of the U.S. Department of Energy Challenge Home Program Certification of Production Builders Chicago, IL and Devens, MA
TO4 Task 3.1 K Hovnanian Chicago, IL
DOE Challenge Home Program Certified
Home Constructed and Verified
Specifications
DOE Challenge Home
Building envelope
Ceiling R-49 blown fiberglass, Grade I
Walls 2x4 framing @ 16 o.c. with R-13 fiberglass batts, Grade I
and 1"" R-5 extrude...
Loomis, H. and Kerrigan, P. Building Science Corporation
Apr 27, 2016
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible