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BENEFIT with Northeastern University: HVAC Hardware-in-the-Loop Experimental Testing of Heat Pump and Air Conditioner
This dataset includes HVAC Hardware-in-the-Loop (HIL) experimental results for a single stage, SEER 16, HSPF 9.5, 3-ton single-speed air source heat pump with 15 kW of backup auxiliary heating tested in both cooling and heating mode, and a two-stage, SEER 21, 2-ton central air con...
Ramaraj and SparnNational Renewable Energy Laboratory
Sep 10, 2024
25 Resources
0 Stars
Publicly accessible
25 Resources
0 Stars
Publicly accessible
Wind Turbine Sound Setbacks and Supply Curves: Ordinances and Extrapolated Trends, 110 Hub Height, 130 Rotor Diameter
This dataset provides a comprehensive set of wind turbine sound setbacks from every residential structure in the contiguous United States (CONUS). A sound setback is defined as the minimum required distance between a residential structure and a hypothetical turbine installation si...
Geospatial Data Science, N. National Renewable Energy Laboratory (NREL)
Jan 01, 2025
18 Resources
0 Stars
Publicly accessible
18 Resources
0 Stars
Publicly accessible
Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States
This dataset is a fusion of three data types (operations and maintenance tickets, weather data, and production data) that was used to support machine learning analysis and evaluation of drivers for low performance at photovoltaic (PV) sites during compound, extreme weather events....
Gunda, T. and Jackson, N. Sandia National Laboratories
Apr 01, 2021
2 Resources
0 Stars
Publicly accessible
2 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
13 Resources
0 Stars
Publicly accessible
Artificial Intelligence for Robust Integration of AMI and Synchrophasor Data to Significantly Boost Solar Adoption
The overarching goal of the project is to create a highly efficient framework of machine learning (ML) methods that provide consistent and accurate real-time knowledge of system states from diverse AMI devices and PMUs in order to accommodate extreme levels of PV. For this goal, w...
Ayyanar, R. et al Arizona State University
Feb 01, 2025
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
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
Publicly accessible
39 Resources
1 Stars
Publicly accessible
Mechanical Ventilation and Indoor Air Quality in Recently Constructed U.S. Homes in Marine and Cold-Dry Climates Data from Building America Project
Data were collected to characterize whole-house mechanical ventilation (WHMV) and indoor air quality (IAQ) in 55 homes in the Marine climate of Oregon and Cold-Dry climate of Colorado in the U.S. Sixteen homes were monitored for two weeks, with and without WHMV operating. Ventilat...
Zhao, H. et al Lawrence Berkeley National Laboratory
Mar 22, 2023
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
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
Publicly accessible
29 Resources
0 Stars
Publicly accessible
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
Publicly accessible
29 Resources
0 Stars
Publicly accessible