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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
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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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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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TEAMER: Cross-flow Turbine Hydrodynamics

The objective of this work is to validate RANS and LES computations of cross-flow turbine hydrodynamics using laboratory scale measurements. Validation involves the comparison of time-and phase averaged performance metrics and flowfields across the widest practical range of turbin...

Athair, A. et al University of Washington (NNMREC)

Mar 25, 2025
7 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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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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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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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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TEAMER: Experimental Characterization of a Laboratory-Scaled Oscillating Surge Wave Energy Converter

This data is a result of an experimental campaign to characterize the hydrodynamics and performance of a laboratory-scale oscillating surge wave energy converter (OSWEC). The device was 85 cm wide, 1.4 meters tall, and 14 cm thick and was tested in the Sea Wave Environmental Lab (...

Lydon, B. et al University of Washington

Apr 05, 2024
9 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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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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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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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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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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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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TEAMER: Vertical Axis Hydrokinetic Turbine Array Modeling And Optimization Data

This dataset from Emrgy Inc., in collaboration with Sandia National Laboratories, includes integration of modular vertical axis hydrokinetic (HK) turbines into a higher fidelity canal hydraulic model. This submission contains all data collected and used for the Vertical Axis Hydro...

Cuthbert, T. Emrgy, Inc.

Jul 31, 2024
34 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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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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Advanced TidGen Power System ProteusDS Version 2.43.5 Files

Marnagh, C. and McEntee, J. Ocean Renewable Power Company

Jun 14, 2018
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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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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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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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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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...