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Forecasting Waves and Optimal Control of a Novel Wave Energy Device


Term:

Spring

Department:

2: Mechanical Engineering

Faculty Supervisor:

Paul Sclavounos

Faculty email:

pauls@mit.edu

Apply by:

3/1/2020

Contact:

dflarson@mit.edu

Project Description

Wave energy is poised to play an important role in the renewable energy space, however few designs have been able to achieve the robust and cost-effective performance needed garner widespread support for large-scale implementation. A new oscillating water column and bi-radial turbine design developed by our collaborators may be able change that attitude, and we need to design an optimal control strategy to maximize its energy capture. In a complex, real-world environment, this requires predicting waves a few seconds/minutes into the future. Our lab has been developing a pair of novel forecasting methods using advanced signal processing and machine learning strategies. We are seeking a motivated student to help us further develop novel forecasting and control strategies. Additionally, we are seeking a student to extend an existing simulation framework to evaluate the device performance. This work will inform the next iteration of the hydro-turbo-mechanical design that will take place in the subsequent terms. Students will work closely with a team of graduate students and researchers from MIT and Instituto Superior Technico Lisbon.

Pre-requisites

Understand the fundamentals of fluid mechanics, basic signal processing and have MATLAB, Julia or other programming experience. Basic knowledge of thermodynamics and/or advanced signal processing is a plus. Applicants should be interested in renewable energy and/or ocean systems, but no prior experience is necessary.