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Unified Field Study 2 (UFS-2)
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 second Unified Field Study (UFS-2), performed April...
Wolfrum, E. et al National Renewable Energy Laboratory
Sep 27, 2016
18 Resources
0 Stars
Publicly accessible
18 Resources
0 Stars
Publicly accessible
Unified Field Study 7 (UFS-7)
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 seventh Unified Field Study (UFS-7), performed June...
Wolfrum, E. et al National Renewable Energy Laboratory
Oct 20, 2017
18 Resources
0 Stars
Publicly accessible
18 Resources
0 Stars
Publicly accessible
Unified Field Study 3 (UFS-3)
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 third Unified Field Study (UFS-3), performed June t...
Wolfrum, E. et al National Renewable Energy Laboratory
Sep 29, 2016
24 Resources
0 Stars
Publicly accessible
24 Resources
0 Stars
Publicly accessible
Unified Field Study 4 (UFS-4)
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 fourth Unified Field Study (UFS-4), performed Septe...
Wolfrum, E. et al National Renewable Energy Laboratory
Sep 27, 2016
24 Resources
0 Stars
Publicly accessible
24 Resources
0 Stars
Publicly accessible
Unified Field Study 5 (UFS-5)
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 fifth Unified Field Study (UFS-5), performed Decemb...
Wolfrum, E. et al National Renewable Energy Laboratory
Sep 27, 2016
24 Resources
0 Stars
Publicly accessible
24 Resources
0 Stars
Publicly accessible
Unified Field Study 6 (UFS-6)
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 sixth Unified Field Study (UFS-6), performed March ...
Wolfrum, E. et al National Renewable Energy Laboratory
Oct 20, 2017
24 Resources
0 Stars
Publicly accessible
24 Resources
0 Stars
Publicly accessible
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