This dataset contains data recordings generated during Year 3 of a DOE-funded project focused on the co-design of marine energy converters and autonomous underwater vehicle (AUV) docking and recharging systems. Data was collected during experimental testing at the O.H. Hinsdale Wave Research Laboratory and support foundational research aimed at advancing coupled Wave Energy Converter (WEC)-AUV systems for marine energy applications. This release builds on and supplements data provided in the previously submitted Year 3 project software and data submission from this project, linked below. This dataset includes measurements of wave elevation, water pressure, dock motion, load on a dock, and load on a fixed Autonomous Underwater Vehicles (AUV). Additionally, a testing log is provided including testing logs and summary of the five conditions tested: -(1) regular and random waves -(2) waves with dock motions -(3) multi-sine waves -(4) multi-sine dock motions -(5) multi-sine waves with dock motions.

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 and deployment of marine energy converters to provide Power-At-Sea. Specifically, we seek to overcome known challenges and knowledge gaps for the successful co-design of coupled Wave Energy Converter (WEC)-Autonomous Underwater Vehicles (AUV) systems; systems designed and tested for WEC array system health and environmental monitoring applications. This project brings together an experienced, multi-institution, and multi-disciplinary team to focus on the co-design of marine energy (ME) technologies and AUV docking systems, including multi-body hydrodynamic modeling, active control, autonomy, and hardware interfaces necessary to enable new WEC-focused understanding, and allow for robust and ubiquitous AUV docking and recharging in real-world conditions.

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 and deployment of marine energy converters to provide Power-At-Sea. Specifically, we seek to overcome known challenges and knowledge gaps for the successful co-design of coupled Wave Energy Converter (WEC)-Autonomous Underwater Vehicles (AUV) systems; systems designed and tested for WEC array system health and environmental monitoring applications. This project brings together an experienced, multi-institution, and multi-disciplinary team to focus on the co-design of marine energy (ME) technologies and AUV docking systems, including multi-body hydrodynamic modeling, active control, autonomy, and hardware interfaces necessary to enable new WEC-focused understanding, and allow for robust and ubiquitous AUV docking and recharging in real-world conditions.

This dataset contains experimental results from testing the Halona wave energy converter (WEC) in both fixed and floating configurations. This dataset reflects a 1/10th scale omnidirectional spar buoy oscillating water column (OWC) device, designed to improve platform stability for autonomous underwater vehicle (AUV) docking. Tests were conducted at the O.H. Hinsdale Wave Research Laboratory's Directional Wave Basin, replicating field conditions anticipated for a full-scale deployment at Kilo Nalu, Oahu. The experiments included unidirectional and directional wave conditions, spanning regular and irregular waves, with varying power take-off (PTO) damping settings represented by different orifice plates. Data collected include differential pressure across orifice plates, six-degree-of-freedom motion capture, surface elevation, and mooring tension forces, with units clearly labeled and standardized. Data products include pressure, surface elevation, mooring tension, and PhaseSpace Motion response data, as well as normalized Response Amplitude Operators (RAOs), normalized chamber pressures, and capture efficiencies. Data are provided below in the zip files, with 'RNG' and 'Reg' identifiers for irregular and regular wave tests respectively, and are labelled with alpha values (percentage relating to opening ratio). Comprehensive MATLAB scripts for data analysis and figure generation are included. The tests support validation of OpenFOAM and ProteusDS models. Use of the dataset assumes familiarity with wave energy converter testing, MATLAB software, and standard hydrodynamic modeling practices. Results from this testing are detailed in publications by Ulm, Huang, and Cross (2023, 2024, and 2025). A Post Access Report summarizing the experimental methods and findings is also attached.

In this project, we applied the Forchheimer flow model in Computational Fluid Dynamics (CFD) simulation to characterize the flow through an orifice used as a quadratic Power Takeoff (PTO) for the Halona oscillating water column (OWC) wave energy convertor (WEC) in the experiments. This proposed method has been successfully utilized for a fixed omnidirectional spar buoy WEC in regular waves. The objective of this project was to extend the application of this method to a floating WEC. This resource contains the final project report and the modeling data associated with each figure contained in the final project report. The file names are consistent with the figure numbering in the final report. There is a README included in each ZIP folder if the file name is not self-explained. Additional description and explanation for each figure can be found in the report.

This document presents results from tests to demonstrate underwater mapping capabilities of an underwater vehicle in conditions typically found in marine renewable energy arrays. These tests were performed with a tethered Seabotix vLBV300 underwater vehicle. The vehicle is equipped with an inertial navigation system (INS) based on a Gladiator Landmark 40 IMU and Teledyne Explorer Doppler Velocity Log, as well as a Gemini 720i scanning sonar acquired from Tritech. The results presented include both indoor pool and offshore deployments. The indoor pool deployments were performed on October 7, 2016 and February 3, 2017 in Corvallis, OR. The offshore deployment was performed on April 20, 2016 off the coast of Newport, OR (44.678 degrees N, 124.109 degrees W). During the mission period, the sea state varied between 3 and 4, with an average significant wave height of 1.6 m. Data was recorded from both the INS and the sonar.

This document presents results from tests to demonstrate underwater mapping capabilities of an underwater vehicle in conditions typically found in marine renewable energy arrays. These tests were performed with a tethered Seabotix vLBV300 underwater vehicle. The vehicle is equipped with an inertial navigation system (INS) based on a Gladiator Landmark 40 IMU and Teledyne Explorer Doppler Velocity Log, as well as a Gemini 720i scanning sonar acquired from Tritech. The results presented include both indoor pool and offshore deployments. The indoor pool deployments were performed on October 7, 2016 and February 3, 2017 in Corvallis, OR. The offshore deployment was performed on April 20, 2016 off the coast of Newport, OR (44.678 degrees N, 124.109 degrees W). During the mission period, the sea state varied between 3 and 4, with an average significant wave height of 1.6 m. Data was recorded from both the INS and the sonar.

This TEAMER RFTS 1 (Request for Technical Support) project supported the flume tank testing of a long range, high endurance unmanned underwater vehicle (UUV) to monitor maritime space. Today, battery-powered remotely operated vehicles (ROVs) lack the duration to make persistent, wide-area data collection possible.The proposed solution, an Electrically Engaged UnduLation (EEL) drone, can sustain missions for longer duration through hydrodynamic energy harvesting. Power is provisioned via the piezoelectric effect, a material-led phenomenon that converts applied stress into electricity. The EEL subsystems include power, propulsion, navigation, ballast, telemetry, and instrumentation. By mimicking the gait of aquatic eels, EEL can counter currents during maneuvering and level-flight. The identified opportunity is in the future capability of extreme endurance UUVs in swarms. The specific goal for the EEL development is to expand the spatio-temporal coverage of the existing ocean observation mission by overcoming significant challenges of autonomous robotics. Some of the challenges presented include novel compliant mechanism for robust actuation, bio-inspired design to emulate efficient locomotion, smart material-based energy harvesting for sustained power, and swarming architecture through enabled autonomy.

This TEAMER RFTS 1 (Request for Technical Support) project supported the flume tank testing of a long range, high endurance unmanned underwater vehicle (UUV) to monitor maritime space. Today, battery-powered remotely operated vehicles (ROVs) lack the duration to make persistent, wide-area data collection possible.The proposed solution, an Electrically Engaged UnduLation (EEL) drone, can sustain missions for longer duration through hydrodynamic energy harvesting. Power is provisioned via the piezoelectric effect, a material-led phenomenon that converts applied stress into electricity. The EEL subsystems include power, propulsion, navigation, ballast, telemetry, and instrumentation. By mimicking the gait of aquatic eels, EEL can counter currents during maneuvering and level-flight. The identified opportunity is in the future capability of extreme endurance UUVs in swarms. The specific goal for the EEL development is to expand the spatio-temporal coverage of the existing ocean observation mission by overcoming significant challenges of autonomous robotics. Some of the challenges presented include novel compliant mechanism for robust actuation, bio-inspired design to emulate efficient locomotion, smart material-based energy harvesting for sustained power, and swarming architecture through enabled autonomy.

Collaborative effort between AquaHarmonics, Sandia National Laboratories (SNL), and the National Renewable Energy Laboratory (NREL) to revise and validate Aquaharmonics' full wave to wire model, allowing for reduced uncertainty and increased understanding of design requirements of a utility scale wave energy converter (WEC). SNL and NREL in collaboration with AquaHarmonics, will set up and run WEC Simulator (WEC-Sim) models of the AquaHarmonics WEC, building off past model developments for inclusion of custom PTO (power take-off) dynamics. The intent is to review, update, and verify or validate a new WEC-Sim model against wave tank experimental data. Furthermore, the WEC-Sim model will be coupled to an energy storage system model to better understand the wave-to-wire functionality. This data set is described in the "Test Log" excel file. Please refer to that document for details on each specific test date/time, constraint parameters and model hardware setup details. Sim model can be found in the associated MHKDR link below.