Browse Topic: Renewable energy
An overset dual-mesh, dual-solver for computational fluid dynamics (CFD) is presented for wind energy applications. The dual-mesh paradigm is implemented in a near-body/off-body mesh system utilizing an unstructured mesh for the near-body and a Cartesian mesh for the off-body. The dual-solver paradigm uses variable-order, mixed-discretization solvers optimized for the respective near-body/off-body grids. Preliminary results of a computational study of the National Renewable Energy Laboratory (NREL) Phase VI wind turbine are presented. Results for uniform axial inflow velocities (7, 10, and 15 m/s) compare computed and measured results, including total power and thrust, sectional pressure coefficient, and a down-stream wake deficit profile for a uniform axial inflow velocity of 10 m/s. Qualitative results are presented for a dynamically mesh adaptive off-body solver in the dual-mesh, dual-solver paradigm. Preliminary results using a statically refined mesh indicate the power and thrust curves are over predicted and the pressure coefficient results indicate good agreement for the pressure side of the rotor blade but over prediction the suction side.
A nanomaterial thin-film device provides a low-cost, facile fabrication pathway to commercialize the technology to the sustainable energy market. Metal oxide thin films have been fabricated to a photoelectrochemical cell by solar energy. The prototype device uses both low energy cost for manufacturing and low materials cost for devices. The self-modulated device platform can also find other applications in sensors and detectors. The resultant prototype device can be deployed to the automobile industry or power plants with very low initial costs. The device can also be made extremely compact and efficient. It uses solar energy as the only power source.
Numerical simulations based on NREL (National Renewable Energy Laboratory) Phase VI and MEXICO (Model Experiment in Controlled Conditions) experiments using rFlow3D CFD code are conducted. The rFlow3D code is a multi-disciplinary analysis tool of flow-structure coupling, trim analysis, and noise prediction for rotorcraft developed at Japan Aerospace Exploration Agency. In this study, the numerical computation based on NREL Phase VI experiment with SA turbulence model is conducted to validate the accuracy of performance prediction of the horizontal axis wind turbines. Additionally, numerical computation for MEXICO experiment with a Navier-Stokes (NS) flow solver is conducted to confirm the ability of rFlow3D to predict the wake structure. The NREL Phase VI computational results indicate that the utilization of turbulence model improves the performance prediction in fully separated flow conditions. Meanwhile, MEXICO computation results show the solver can accurately predict the vortex structure and the axial velocity deficit in the wake.
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