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ATP3 Unified Field Study Data
ATP3 Unified Field Study DataThe Algae Testbed Public-Private Partnership ATP3 was established with the goal of investigating open pond algae cultivation across different geographic climatic seasonal and operational conditions while setting the benchmark…
NREL
energy
data
algae
biofuel
cultivation trials
harvest yields
Biomass
UFS
modeling and analysis
fuels
testbed
cultivation strategies
algal productivities
ponds
media
2013-2015
Nannochloropsis oceanica
Chlorella vulgaris
Desmodesmus cf intermedius
Arizona State University
Cellana
Cal Poly San Luis Obispo
Georgia Tech
Arizona
Georgia
California
Hawaii
Florida
Ohio
Florida Algae
TRL Corp
Continental USA
Unified Field Studies
renewabe energy
biochemical
WIND Toolkit Power Data Site Index
This spreadsheet contains per-site metadata for the WIND Toolkit sites and serves as an index for the raw data hosted on Globus connect (nrel#globus:/globusro/met_data). Aside from the metadata, per site average power and capacity factor are given. This…
NREL
energy
data
wind
Toolkit
power
capacity factor
wind integration
USA
WIND Toolkit Offshore Summary Dataset
This dataset contains summary statistics for offshore wind resources for the continental United States derived from the Wind Integration National Datatset (WIND) Toolkit. These data are available in two formats:
GDB - Compressed geodatabases…
NREL
energy
data
wind
Toolkit
offshore
United States
geodatabases
GIS
Pacific
Atlantic
Gulf
HD5F
renewable energy
RE
Bureau of Oceanic Energy Management
BOEM
energy system integration
wind integration
Battery inverter experimental data
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 30 kW off-the-shelf grid following battery inverter in the experiments. We…
battery inverter
data analysis
data visualizations
database for artificial intelligence training
database for inverter characterization
database for model validation
artificial intelligence
machine learning
reinforcement learning
tensorflow
pytorch
scikit-learn
PV inverter experimental data
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 20 kW off-the-shelf grid following PV inverter in the experiments. We used…
data analysis
data visualizations
database for artificial intelligence training
database for inverter characterization
database for model validation
artificial intelligence
machine learning
reinforcement learning
tensorflow
pytorch
scikit-learn
PV inverter
Split phase inverter data
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 8.35 kW off-the-shelf grid following split phase PV inverter in the…
split phase inverter
PV inverter
data analysis
data visualizations
database for artificial intelligence training
database for inverter characterization
data base for model validation
artificial intelligence
machine learning
reinforcement learning
tensorflow
pytorch
scikit-learn
PV inverter experimental dataset version 2 with 100 percent power
The increase in power electronic based generation sources require accurate modeling of inverters. Accurate modeling requires experimental data over wider operation range. We used 20 kW off-the-shelf grid following PV inverter in the experiments. We used…
data analysis
data visualizations
database for artificial intelligence training
database for inverter characterization
database for model validation
artificial intelligence
machine learning
reinforcement learning
tensorflow
pytorch
scikit-learn
PV inverter