UTFacultiesETDepartmentsMS3Research ChairsApplied Mechanics and Data AnalysisEducationMaster AssignmentsKalman Filter-Based Stress Prediction from Modal Parameters and Motion Measurements for floating solar structures in offshore environments

Kalman Filter-Based Stress Prediction from Modal Parameters and Motion Measurements for floating solar structures in offshore environments

MASTER ASSIGNMENT 

About Oceans of Energy

Oceans of Energy BV is young, fast-growing company; we installed the world’s first offshore solar farm and have been operating it in severe offshore conditions. It is our aim to enable the world to generate clean energy from the abundance of space at sea instead of those scarce locations on land. Our modular offshore solar farm has been operational at sea for almost three years and as we are extending it, we are monitoring it extensively. Meanwhile, we are conducting ecological research to assess the impact, both negative and positive, on nature and marine life.

Description

The aim of the thesis is to make a coupling between the motions/deformations of the (flexible) PV platforms and the arising stresses in the structure. Firstly, a test setup should be designed for measuring motions and strains of an offshore floater in a floating farm. Secondly, modal parameters available from previous research can be used as input to construct a Kalman-filter based state estimator model to relate motion measurements to stresses in the structure. Thirdly, the state estimator model can be optimized using the measurement data from the offshore test setup. Finally, the stress cycles estimated can be used to conduct fatigue analysis of the floater structures.

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