Daniel Zhu
Research Mentor(s): Michael Bernitsas
Mentor Department: Naval Architecture & Marine Engineering
Authors: Daniel Zhu, Michael Bernitsas, Onggo Nichita
Session: Session 5 (2:00pm – 2:50pm)
Presentation Type: Poster 10
Abstract
The process of generating hydrokinetic energy depends on many mechanical features, characteristics, and external variables. We offer statistical data drawn from computational fluid dynamic simulations and animations which are analyzed to optimize the energy output of the hydrokinetic harvester. By creating CFD simulations of the fluid dynamic environment the harvester is placed in, we collect data on the performance of our harvester and the physical conditions, characteristics, and properties that yield the highest energy production. By utilizing open-source software, OpenFOAM and Docker, we will generate a simulation of the cylinder behavior when placed in an environment with flowing water. We mesh the background and within each mesh, we generate the behaviors of the fluid and the cylinders as they interact. From this, we can measure the magnitude of energy generated by the cylinder’s contact with the walls of the device. With several animations and data generated from these animations, we determine the effect of the flow speed of water on the magnitude of energy produced, and with many future simulations varying the numerous alternative parameters, combining the characteristics and conditions which each generate the most energy, we can greatly improve the energy output of the device. This study optimizes the general conditions which play a role in improving energy efficiency and generation. This would lead to a device that can be used to generate energy in remote areas in clean and safe ways, as well as provide information on alternative devices and optimal conditions for energy production.
