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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
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12 Resources
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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
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2 Resources
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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
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3 Resources
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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
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11 Resources
0 Stars
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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
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6 Resources
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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
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11 Resources
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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
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2 Resources
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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
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3 Resources
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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
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4 Resources
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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
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4 Resources
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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
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6 Resources
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RivGen Current Flow Measurements, Igiugig, AK
Measurements of flow velocity, distribution and turbulence conducted by University of Washington Applied Physics Laboratory, Igiugig, Alaska, Summer 2014
Thomson, J. et al Ocean Renewable Power Company
Nov 03, 2014
1 Resources
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1 Resources
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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
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29 Resources
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HERO WEC V1.0 2024 WEC-Sim Detailed Simulation Runs and Summary Data
This dataset includes results from simulations of NREL's hydraulic and electric reverse osmosis wave energy converter (HEREO WEC). Simulation runs include 135 wave cases that were based on the updated WEC-Sim model, which is linked below. The data represented in this repository i...
Panzarella, J. et al National Renewable Energy Laboratory
Jul 01, 2024
6 Resources
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6 Resources
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Advanced TidGen Power System OpenFOAM Version 5 CFD Case Files
The TidGen Power System generates emission-free electricity from tidal currents and connects directly into existing grids using smart grid technology. The power system consists of three major subsystems: shore-side power electronics, mooring system, and turbine generator unit (TGU...
Marnagh, C. and McEntee, J. Ocean Renewable Power Company
Jun 14, 2018
1 Resources
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1 Resources
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Advanced TidGen Power System ProteusDS Version 2.43.5 Files
The TidGen Power System generates emission-free electricity from tidal currents and connects directly into existing grids using smart grid technology. The power system consists of three major subsystems: shore-side power electronics, mooring system, and turbine generator unit (TGU...
Marnagh, C. and McEntee, J. Ocean Renewable Power Company
Jun 14, 2018
1 Resources
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1 Resources
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Characterization for Creek Tides Energy and Power Reversible Blade Turbine
Reactive reversible blade turbine (RRBT) is a new technology which provides a solution to hydro-power generation from slow-moving currents such as rivers, tides, and oceans. It features blades that pivot to capture the maximum force of the water current and then pivot again to a n...
Curet, O. Florida Atlantic University
Sep 17, 2024
1 Resources
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1 Resources
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UNH TDP Shark Meter Raw Data and Processing Scripts Fall 2021
This submission contains raw Shark Power Meter data and processing scripts associated with MHKDR submission 394 (UNH TDP Concurrent Measurements of Inflow, Power Performance, and Loads for a Grid-Synchronized Vertical Axis Cross-Flow Turbine Operating in a Tidal Estuary, DOI: 10.1...
Bharath, A. et al National Renewable Energy Laboratory
Dec 21, 2021
4 Resources
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4 Resources
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Design of high-deflection foils MHK applications CFD models Helical turbines
The Ocean Renewable Power Company's (ORPC's) goal is to design, develop, and test hydrofoils with large deflections. The effects of the deflections on cross-flow turbine performance would be evaluated in order to inform design considerations for full-scale water turbines and other...
Barrington, M. and McEntee, J. Ocean Renewable Power Company
Nov 01, 2021
2 Resources
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2 Resources
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RivGen Wake Data, Igiugig, AK
Turbulence data collected in from a SWIFT drifter repeatedly released over the ORPC RivGen turbine
Thomson, J. Northwest National Marine Renewable Energy Center
Jul 01, 2015
1 Resources
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1 Resources
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TEAMER: Vertical Axies Hydrokinetic Turbine Data, Emrgy Inc. 2022, Post Access Submission
The data herein contains all data collected and used for the Performance Characterization Testing and Model Calibration of a Vertical Axis Hydrokinetic Turbine. The data includes performance data and durability data for the Hydrokinetic Turbine. The device performance data contain...
Cuthbert, T. Emrgy, Inc.
Apr 06, 2022
4 Resources
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4 Resources
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RivGen Deployment Control System Specifications and Models, Igiugig, AK
Control System simulation models, case studies, and processing codes for analyzing field data. Raw data files included from VFD and SCADA.
MatLab and Simulink are required to open some data files and all model files.
Forbush, D. et al Ocean Renewable Power Company
Mar 21, 2016
2 Resources
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2 Resources
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UNH TDP Voltsys Raw Data and Processing Scripts Fall 2021
This submission contains raw Voltsys rectifier data and processing scripts associated with MHKDR submission 394 (UNH TDP Concurrent Measurements of Inflow, Power Performance, and Loads for a Grid-Synchronized Vertical Axis Cross-Flow Turbine Operating in a Tidal Estuary, DOI: 10.1...
Bharath, A. et al National Renewable Energy Laboratory
Dec 21, 2021
4 Resources
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4 Resources
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Tidal Current Cross-flow Turbine Wake ADV and PIV Data
Measurements in the wake of a high-solidity cross-flow turbine in a laboratory flume obtained using Acoustic Doppler Velocimetry and Particle Image Velocimetry for the purposes of characterizing the turbine wake and comparing the methods.
Polagye, B. University of Washington
Dec 06, 2016
6 Resources
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6 Resources
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In-Situ Blade Strain Measurements of a Crossflow Turbine Operating in a Tidal Flow
This data was collected between October 25 and December 12 of 2022 at the University of New Hampshire (UNH) and Atlantic Marine Energy Center (AMEC) turbine deployment platform (TDP). The goal was to collect blade strain data from a crossflow turbine operating in a tidal flow. A t...
Bharath, A. et al National Renewable Energy Laboratory
Dec 16, 2022
17 Resources
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17 Resources
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