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"hourly emission factors"×
National Renewable Energy Laboratory (NREL)×

NREL 25-cm2 High-Pressure Low-Temperature Electrolysis Cell Hardware (Open Source)

This data resource describes an open-source cell hardware that enables low temperature electrolysis (LTE) testing at elevated pressures. Existing commercial options have several downsides when it comes to R&D testing. They are often not designed for repeated reassembly, may no...
Wrubel. . et al National Renewable Energy Laboratory
Nov 14, 2023
2 Resources
0 Stars
Publicly accessible

Electrification Futures Study Flexible Load Profiles

This data set includes hourly profiles for flexible load developed for the Electrification Futures Study (EFS). The load profiles represent projected end-use electricity demand that is assumed to be flexible (i.e., can be shifted throughout a day) for various scenarios of flexibil...
Jadun. . et al National Renewable Energy Laboratory
Feb 04, 2020
3 Resources
0 Stars
Publicly accessible

Electrification Futures Study Load Profiles

This data set includes hourly load profiles developed for the Electrification Futures Study (EFS). The load profiles represent projected end-use electricity demand for various scenarios of electrification (Reference, Medium, High) and technology advancement (Slow, Moderate, Rapid)...
Mai. . et al National Renewable Energy Laboratory
Jan 14, 2020
9 Resources
0 Stars
Publicly accessible

Grid Service Values of Generic Marginal Building Flexibility in Modeled 2030 U.S. Power Systems

The datasets include the capacity, energy, and ancillary service values of a marginal kilowatt-hour (kWh) of generic, daily, shiftable building flexibility as a presumed market entrant in the 2030 U.S. power systems. The results should be interpreted along with the caveats listed ...
Zhou. . et al National Renewable Energy Laboratory
Jan 12, 2021
36 Resources
0 Stars
Publicly accessible

Understanding the Evolution of Customer Motivations and Adoption Barriers in Residential Solar Markets: Survey Data

This research focused on accelerating solar photovoltaic (PV) diffusion by collecting new market data and developing predictive modeling frameworks to test and refine understandings of household level motivations for adopting solar. Three different household-level surveys were...
Sigrin. . et al National Renewable Energy Laboratory
May 22, 2017
13 Resources
0 Stars
Publicly accessible
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