Final report on a TEAMER RFTS 2 (request for technical support) study undertaken by Alden Research Laboratory for the Mono-radial turbine invented by John Clark Hanna DBA: Hanna Wave Energy Primary Drives. The study is a predictive numerical and CFD (computational fluid dynamics) report of the mentioned Hanna Mono-Radial Turbine. The device is an impulse-type mono-radial air turbine PTO for wave energy conversion. The turbine is self-rectified, meaning that it spins in one direction only while capturing the bi-directional air flows developed within an OWC (Oscillating Water Column) system.

Attached are the .cas and .dat files for the Reynolds Averaged Navier-Stokes (RANS) simulation of a single lab-scaled DOE RM1 turbine implemented in ANSYS FLUENT CFD-package. The lab-scaled DOE RM1 is a re-design geometry, based of the full scale DOE RM1 design, producing same power output as the full scale model, while operating at matched Tip Speed Ratio values at reachable laboratory Reynolds number (see attached paper). In this case study the flow field around and in the wake of the lab-scaled DOE RM1 turbine is simulated using Blade Element Model (a.k.a Virtual Blade Model [VBM]) by solving RANS equations coupled with k-\omega turbulence closure model. It should be highlighted that in this simulation the actual geometry of the rotor blade is not modeled. The effect of turbine rotating blades are modeled using the Blade Element Theory. This simulation provides an accurate estimate for the performance of device and structure of it's turbulent far wake. Due to the simplifications implemented for modeling the rotating blades in this model, VBM is limited to capture details of the flow field in near wake region of the device. The required User Defined Functions (UDFs) and look-up table of lift and drag coefficients are included along with the .cas and .dat files.

Attached are the .cas and .dat files for the Reynolds Averaged Navier-Stokes (RANS) simulation of a single lab-scaled DOE RM1 turbine implemented in ANSYS FLUENT CFD-package. The lab-scaled DOE RM1 is a re-design geometry, based of the full scale DOE RM1 design, producing same power output as the full scale model, while operating at matched Tip Speed Ratio values at reachable laboratory Reynolds number (see attached paper). In this case study the flow field around and in the wake of the lab-scaled DOE RM1 turbine is simulated using Blade Element Model (a.k.a Virtual Blade Model [VBM]) by solving RANS equations coupled with k-\omega turbulence closure model. It should be highlighted that in this simulation the actual geometry of the rotor blade is not modeled. The effect of turbine rotating blades are modeled using the Blade Element Theory. This simulation provides an accurate estimate for the performance of device and structure of it's turbulent far wake. Due to the simplifications implemented for modeling the rotating blades in this model, VBM is limited to capture details of the flow field in near wake region of the device. The required User Defined Functions (UDFs) and look-up table of lift and drag coefficients are included along with the .cas and .dat files.

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 Hydrokinetic Turbine Array Modeling & Optimization. The data includes Delft3D simulation data and scripts for the Hydrokinetic Turbine (HKT) & HKT arrays. The simulation data includes canal models with and without turbines for two real-world sites; one in Colorado and one in California. The simulation data also includes a matrix of test cases. The main script "rotorFrame_clean.py" is a python script used to automate the setup of different turbine configurations within SNL-Delft3D. This work was supported by funding from TEAMER RFTS 7 (Request for Technical Support).

Attached are the .cas and .dat files along with the required User Defined Functions (UDFs) and look-up table of lift and drag coefficients for the Reynolds Averaged Navier-Stokes (RANS) simulation of three coaxially located lab-scaled DOE RM1 turbine implemented in ANSYS FLUENT CFD-package. The lab-scaled DOE RM1 is a re-design geometry, based of the full scale DOE RM1 design, producing same power output as the full scale model, while operating at matched Tip Speed Ratio values at reachable laboratory Reynolds number (see attached paper). In this case study the flow field around and in the wake of the lab-scaled DOE RM1 turbines in a coaxial array is simulated using Blade Element Model (a.k.a Virtual Blade Model [VBM]) by solving RANS equations coupled with k-\omega turbulence closure model. It should be highlighted that in this simulation the actual geometry of the rotor blade is not modeled. The effect of turbine rotating blades are modeled using the Blade Element Theory. This simulation provides an accurate estimate for the performance of each device and structure of their turbulent far wake. The results of these simulations were validated against the developed in-house experimental data. Simulations for other turbine configurations are available upon request.

Attached are the .cas and .dat files along with the required User Defined Functions (UDFs) and look-up table of lift and drag coefficients for the Reynolds Averaged Navier-Stokes (RANS) simulation of three coaxially located lab-scaled DOE RM1 turbine implemented in ANSYS FLUENT CFD-package. The lab-scaled DOE RM1 is a re-design geometry, based of the full scale DOE RM1 design, producing same power output as the full scale model, while operating at matched Tip Speed Ratio values at reachable laboratory Reynolds number (see attached paper). In this case study the flow field around and in the wake of the lab-scaled DOE RM1 turbines in a coaxial array is simulated using Blade Element Model (a.k.a Virtual Blade Model [VBM]) by solving RANS equations coupled with k-\omega turbulence closure model. It should be highlighted that in this simulation the actual geometry of the rotor blade is not modeled. The effect of turbine rotating blades are modeled using the Blade Element Theory. This simulation provides an accurate estimate for the performance of each device and structure of their turbulent far wake. The results of these simulations were validated against the developed in-house experimental data. Simulations for other turbine configurations are available upon request.

Attached are the .cas and .dat files for the Reynolds Averaged Navier-Stokes (RANS) simulation of a single full scale DOE RM1 turbine implemented in ANSYS FLUENT CFD-package. In this case study taking advantage of the symmetry of the DOE RM1 geometry, only half of the geometry is modeled using (Single) Rotating Reference Frame model [RRF]. In this model RANS equations, coupled with k-\omega turbulence closure model, are solved in the rotating reference frame. The actual geometry of the turbine blade is included and the turbulent boundary layer along the blade span is simulated using wall-function approach. The rotation of the blade is modeled by applying periodic boundary condition to sets of plane of symmetry. This case study simulates the performance and flow field in both the near and far wake of the device at the desired operating conditions. The results of these simulations showed good agreement to the only publicly available numerical simulation of the device done in the NREL. Please see the attached paper.

Attached are the .cas and .dat files for the Reynolds Averaged Navier-Stokes (RANS) simulation of a single full scale DOE RM1 turbine implemented in ANSYS FLUENT CFD-package. In this case study taking advantage of the symmetry of the DOE RM1 geometry, only half of the geometry is modeled using (Single) Rotating Reference Frame model [RRF]. In this model RANS equations, coupled with k-\omega turbulence closure model, are solved in the rotating reference frame. The actual geometry of the turbine blade is included and the turbulent boundary layer along the blade span is simulated using wall-function approach. The rotation of the blade is modeled by applying periodic boundary condition to sets of plane of symmetry. This case study simulates the performance and flow field in both the near and far wake of the device at the desired operating conditions. The results of these simulations showed good agreement to the only publicly available numerical simulation of the device done in the NREL. Please see the attached paper.

Accurate numerical models are crucial for the development of wave energy converter (WEC) technologies, providing the means for power production and lifetime assessment, site selection, and design of mooring lines, PTO systems and controllers, among other aspects. This project aims at developing a wave-to-wire (w2w) numerical model for floating oscillating water column (OWC) devices based upon the Wave Energy Converter SIMulator (WEC-Sim) platform. To that end, nonlinear hydrodynamics, considering viscous and nonlinear Froude-Krylov effects were implemented, and new capabilities were articulated into the WEC-Sim platform, incorporating thermos-aerodynamic effects for the air-turbine. For this submission, a numerical model of a wave-to-wire controller was developed, and its efficiency and performance tested numerically. In addition to this, a mooring system was also included in the numerical model. The hydrodynamic coefficients for the OWC were calculated using different numerical solvers: ANSYS, WAMIT, Capyatine, and NEMOH. Additionally, two distinct contrasting modeling approaches were tested and the resulting data included. In the first approach, the WEC's main structure and the OWC are modeled as separate entities. In the second, the WEC and OWC are considered a single body, with the free surface of the oscillating water column added as an extra degree of freedom. Nonlinear hydrodynamic effects, including viscosity and nonlinear Froude-Krylov forces, are incorporated to assess their impact on the numerical analysis of OWC systems. This repository contains: - The final TEAMER Post Access Report - A comprehensive file of data and code for advanced WEC-Sim modeling and Wave-to-Wire control of Oscillating Water Column wave energy converters - A ReadMe file describing the project's Rigid Body Approach and Generalized Body Modes (GBM) Approach to modeling, the two control approaches (Wave-to-Wire (W2W) Optimal Control and Turbine Efficiency Maximization), and the contents of each folder within the data file - link to the WEC-Sim Project GitHub (https://wec-sim.github.io/WEC-Sim/main/index.html) - link to the WEC-Sim Wave Energy Converter Simulator MHKDR Submission (https://mhkdr.openei.org/submissions/616) The data file includes: - the preliminary results for the Rigid Body Approach using the pseudo spectral model - BEM results from different numerical solvers including WAMIT, NEMOH, Capytaine, and Ansys - model files and results for the Generalized Body Motion Approach, using a wave-to-wire optimal control - model files and results for the Generalized Body Motion Approach, using a Turbine Energy Maximization control approach - model files and results for the Generalized Body Mode Approach without any specific control approach - American Control Conference 2025 codes for the 2025 IEEE Conference on Control Technology and Applications (CCTA) accepted paper titled "Optimal Control of Floating Oscillating Water Column Wave Energy Converters". This paper will be added to this submission following its release.

This is an exercise in optimizing the flow through a shrouded axial turbine to have the least resistance and to have optimal output and torque and energy. In this study, different variations of the original geometry of the current turbine designed by Hydrokinetic Energy Corp. (HEC) were evaluated for energy efficiency using Computational Fluid Dynamics (CFD). The objective was accomplished by a parametric study of the key geometric parameters for the shroud, the diffuser, and the hub. Project is part of the TEAMER RFTS 3 (request for technical support) program.