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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
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
United States Land-based Wind Supply Curves 2023
This data packet contains supply curves, hourly generation profiles, and a composite siting exclusion TIFF for land-based wind across the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), levelized cost of energy (LCOE...
GDS, N. National Renewable Energy Laboratory
Jun 30, 2023
13 Resources
0 Stars
Curated
13 Resources
0 Stars
Curated
Hourly Energy Emission Factors for Electricity Generation in the United States
Monthly average hourly CO2, NOx, and SO2 emission factors for each U.S. eGRID subregion.
This project utilized GridViewTM, an electric grid dispatch software package, to estimate hourly emission factors for all of the [eGRID](https://www.epa.gov/egrid) subregions in the continenta...
Studer, D. National Renewable Energy Laboratory
Nov 25, 2014
25 Resources
0 Stars
Publicly accessible
25 Resources
0 Stars
Publicly accessible
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
Curated
39 Resources
1 Stars
Curated
United States Utility-Scale PV Supply Curves 2023
This data packet contains supply curves, hourly generation profiles, and a composite siting exclusion TIFF for utility-scale PV across the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), levelized cost of energy (LCO...
GDS, N. National Renewable Energy Laboratory
Jun 30, 2023
13 Resources
1 Stars
Curated
13 Resources
1 Stars
Curated
Low-Income Energy Affordability Data LEAD Tool 2018 Update
The Low-Income Energy Affordability Data (LEAD) Tool was created by the Better Building's Clean Energy for Low Income Communities Accelerator (CELICA) to help state and local partners understand housing and energy characteristics for the low and moderate-income (LMI) communities t...
Ma, O. U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy
Jul 01, 2020
55 Resources
0 Stars
Publicly accessible
55 Resources
0 Stars
Publicly accessible
Low-Income Energy Affordability Data LEAD Tool 2022 Update
The Low-Income Energy Affordability Data (LEAD) Tool was created by the Better Building's Clean Energy for Low Income Communities Accelerator (CELICA) to help state and local partners understand housing and energy characteristics for the low and moderate-income (LMI) communities t...
Ma, O. and Vimont, A. U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy
Aug 01, 2024
59 Resources
0 Stars
In progress
59 Resources
0 Stars
In progress
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
ARPA-E Grid Optimization (GO) Competition Challenge 1
The ARPA-E Grid Optimization (GO) Competition Challenge 1, from 2018 to 2019, focused on the basic Security Constrained AC Optimal Power Flow problem (SCOPF) for a single time period. The Challenge utilized sets of unique datasets generated by the ARPA-E GRID DATA program. Each da...
Elbert, S. et al Pacific Northwest National Laboratory
Aug 05, 2024
29 Resources
0 Stars
Curated
29 Resources
0 Stars
Curated