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OPFLearnData: Dataset for Learning AC Optimal Power Flow
The datasets are resulting from OPFLearn.jl, a Julia package for creating AC OPF datasets. The package was developed to provide researchers with a standardized way to efficiently create AC OPF datasets that are representative of more of the AC OPF feasible load space compared to t...
Joswig-Jones. . et al National Renewable Energy Laboratory
Oct 26, 2021
12 Resources
0 Stars
Publicly accessible
12 Resources
0 Stars
Publicly accessible
Wave Tank Testing Report for Controls Validation of a Heaving Point Absorber
The core objectives of this project is to improve the power capture of three different wave energy
conversion (WEC) devices by more than 50% using an advanced control system and validate the
attained improvements using wave tank and full scale testing. In parallel, we will bring a...
Previsic, M. et al Re Vision Consulting
Aug 26, 2020
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Turbine Depth Optimization Study, Admiralty Inlet, WA
The zipped file contains a directory of data and routines used in the NNMREC turbine depth optimization study (Kawase et al., 2011), and calculation results thereof. For further info, please contact Mitsuhiro Kawase at kawase@uw.edu.
Kawase, M. et al University of Washington
Nov 22, 2009
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Wave Tank Testing of 1-DoF Heaving Buoy for Controls Validation Purposes
This submission includes the wave tank testing data used to validate the controls optimization efforts of a heaving 1-DoF buoy.
Previsic, M. et al Re Vision Consulting
Jul 13, 2017
4 Resources
0 Stars
Publicly accessible
4 Resources
0 Stars
Publicly accessible
Natural Reservoir Analysis in Low-Temperature Geothermal Play Fairway Analysis for the Appalachian Basin
The files included in this submission contain all data pertinent to the methods and results of this task's output, which is a cohesive multi-state map of all known potential geothermal reservoirs in our region, ranked by their potential favorability. Favorability is quantified usi...
Jordan, T. and Camp, E. Cornell University
Oct 22, 2015
9 Resources
0 Stars
Publicly accessible
9 Resources
0 Stars
Publicly accessible
Machine Learning-Assisted High-Temperature Reservoir Thermal Energy Storage Optimization: Numerical Modeling and Machine Learning Input and Output Files
This data set includes the numerical modeling input files and output files used to synthesize data, and the reduced-order machine learning models trained from the synthesized data for reservoir thermal energy storage site identification.
In this study, a machine-learning-assiste...
Jin, W. et al Idaho National Laboratory
Apr 15, 2022
4 Resources
0 Stars
Publicly accessible
4 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
TEAMER: Experimental performance characterization of a shrouded axial-flow turbine
Sitkana has developed a shrouded hydrokinetic turbine with a modular, low-cost design that can be scaled to meet the needs of remote communities. With technical support from the University of Washington, Sitkana sought to experimentally characterize the mechanical power and struct...
McMullan, L. et al University of Washington
Oct 20, 2023
2 Resources
0 Stars
Publicly accessible
2 Resources
0 Stars
Publicly accessible
Optimization of Marine Energy Conversion Systems Through Modeling, Optimization, and CHIL Validation
The work aims to achieve optimal tidal energy conversion through a comprehensive approach of modeling, optimization, and control hardware-in-the-loop (CHIL) validation. By developing accurate models and employing optimization techniques, it seeks to identify efficient system confi...
Luo, F. et al Stony Brook University
Jul 17, 2023
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
Error-Level-Controlled Synthetic Forecasts for Renewable Generation
Renewable energy resources, including solar and wind energy, play a significant role in sustainable energy systems. However, the inherent uncertainty and intermittency of renewable generation pose challenges to the safe and efficient operation of power systems. Recognizing the imp...
Zhang, X. et al National Renewable Energy Laboratory (NREL)
Jun 01, 2021
3 Resources
0 Stars
Publicly accessible
3 Resources
0 Stars
Publicly accessible
Ocean Thermal Energy Conversion (OTEC) | Seawater Cooling Depth Profile 14ºC (Annual Average)
This shapefile represents the annual average depth profile to reach water at a temperature of 14ºC.
Sea water cooling can be used for industrial or residential cooling needs where heat must be rejected. A typical resource for direct air-conditioning applications is no warmer t...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Ocean Thermal Energy Conversion (OTEC) | Seawater Cooling Depth Profile 14ºC (Summer Average)
This shapefile represents the seasonal summer depth profile to reach water at a temperature of 14ºC.
Sea water cooling can be used for industrial or residential cooling needs where heat must be rejected. A typical resource for direct air-conditioning applications is no warmer ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Ocean Thermal Energy Conversion (OTEC) | Seawater Cooling Depth Profile 14ºC (Winter Average)
This shapefile represents the seasonal winter depth profile to reach water at a temperature of 14ºC.
Sea water cooling can be used for industrial or residential cooling needs where heat must be rejected. A typical resource for direct air-conditioning applications is no warmer ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Ocean Thermal Energy Conversion (OTEC) | Seawater Cooling Depth Profile 20ºC (Annual Average)
This shapefile represents the annual average depth profile to reach water at a temperature of 20ºC.
Sea water cooling can be used for industrial or residential cooling needs where heat must be rejected. A typical resource for direct air-conditioning applications is no warmer t...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Ocean Thermal Energy Conversion (OTEC) | Seawater Cooling Depth Profile 20ºC (Summer Average)
This shapefile represents the seasonal summer depth profile to reach water at a temperature of 20ºC.
Sea water cooling can be used for industrial or residential cooling needs where heat must be rejected. A typical resource for direct air-conditioning applications is no warmer ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Ocean Thermal Energy Conversion (OTEC) | Seawater Cooling Depth Profile 20ºC (Winter Average)
This shapefile represents the seasonal winter depth profile to reach water at a temperature of 20ºC.
Sea water cooling can be used for industrial or residential cooling needs where heat must be rejected. A typical resource for direct air-conditioning applications is no warmer ...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Ocean Thermal Energy Conversion (OTEC) | Seawater Cooling Depth Profile 8ºC (Annual Average)
This shapefile represents the annual average depth profile to reach water at a temperature of 8ºC.
Sea water cooling can be used for industrial or residential cooling needs where heat must be rejected. A typical resource for direct air-conditioning applications is no warmer th...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Ocean Thermal Energy Conversion (OTEC) | Seawater Cooling Depth Profile 8ºC (Summer Average)
This shapefile represents the seasonal summer depth profile to reach water at a temperature of 8ºC.
Sea water cooling can be used for industrial or residential cooling needs where heat must be rejected. A typical resource for direct air-conditioning applications is no warmer t...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
Ocean Thermal Energy Conversion (OTEC) | Seawater Cooling Depth Profile 8ºC (Winter Average)
This shapefile represents the seasonal winter depth profile to reach water at a temperature of 8ºC.
Sea water cooling can be used for industrial or residential cooling needs where heat must be rejected. A typical resource for direct air-conditioning applications is no warmer t...
Langle, N. and Laboratory, N. National Renewable Energy Laboratory
Nov 25, 2014
2 Resources
0 Stars
In curation
2 Resources
0 Stars
In curation
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
Co-Design of Marine Energy Converters for Autonomous Underwater Vehicle Docking and Recharging Software and Data
Software and testing data from the OH Hinsdale Wave lab for DOE-funded project on Co-Design of Marine Energy Converters for Autonomous Underwater Vehicle Docking and Recharging. This project will perform foundational research and testing to accelerate the sector-wide development a...
Hollinger, G. et al Oregon State University
Oct 26, 2022
11 Resources
0 Stars
Publicly accessible
11 Resources
0 Stars
Publicly accessible
Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results
Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...
Beckers, K. et al National Renewable Energy Laboratory
Oct 20, 2021
6 Resources
0 Stars
Publicly accessible
6 Resources
0 Stars
Publicly accessible
GOOML Big Kahuna Forecast Modeling and Genetic Optimization Files
This submission includes example files associated with the Geothermal Operational Optimization using Machine Learning (GOOML) Big Kahuna fictional power plant, which uses synthetic data to model a fictional power plant. A forecast was produced using the GOOML data model framework ...
Buster, G. et al Upflow
Jun 30, 2021
11 Resources
0 Stars
Publicly accessible
11 Resources
0 Stars
Publicly accessible
Oilwell Conversion (Well API 121913310501) to Geothermal Heat Storage Well for Flexible Electricity Storage
Geothermal growth is limited by a lack of geographically dispersed high-temperature thermal resources and high initial upfront investment in characterization and well construction. This project intended to address the challenges of energy supply intermittency and enhance grid resi...
Malkewicz, N. et al University of Illinois
May 05, 2021
8 Resources
0 Stars
Publicly accessible
8 Resources
0 Stars
Publicly accessible
DEEPEN: Final 3D PFA Favorability Models and 2D Favorability Maps at Newberry Volcano
Part of the DEEPEN (DE-risking Exploration of geothermal Plays in magmatic ENvironments) project involved developing and testing a methodology for a 3D play fairway analysis (PFA) for multiple play types (conventional hydrothermal, superhot EGS, and supercritical). This was tested...
Taverna, N. et al National Renewable Energy Laboratory
Jan 24, 2024
14 Resources
0 Stars
Publicly accessible
14 Resources
0 Stars
Publicly accessible