LAPSE:2023.29506
Published Article
LAPSE:2023.29506
Modelling of a Flow-Induced Oscillation, Two-Cylinder, Hydrokinetic Energy Converter Based on Experimental Data
Yanfang Lv, Liping Sun, Michael M. Bernitsas, Mengjie Jiang, Hai Sun
April 13, 2023
The VIVACE Converter consists of cylindrical oscillators in tandem subjected to transverse flow-induced oscillations (FIOs) that can be improved by varying the system parameters for a given in-flow velocity: damping, stiffness, and in-flow center-to-center spacing. Compared to a single isolated cylinder, tandem cylinders can harness more hydrokinetic energy due to synergy in FIO. Experimental and numerical methods have been utilized to analyze the FIO and energy harnessing of VIVACE. A surrogate-based model of two tandem cylinders is developed to predict the power harvesting and corresponding efficiency by introducing a backpropagation neural network. It is then utilized to reduce excessive experimental or computational testing. The effects of spacing, damping, and stiffness on harvested power and efficiency of the established prediction-model are analyzed. At each selected flow velocity, optimization results of power harvesting using the prediction-model are calculated under different combinations of damping and stiffness. The main conclusions are: (1) The surrogate model, built on extensive experimental data for tandem cylinders, can predict the cylinder oscillatory response accurately. (2) Increasing the damping ratio range from 0−0.24 to 0−0.30 is beneficial for improving power efficiency, but has no significant effect on power harvesting. (3) In galloping, a spacing ratio of 1.57 has the highest optimal harnessed power and efficiency compared with other spacing values. (4) Two tandem cylinders can harness 2.01−4.67 times the optimal power of an isolated cylinder. In addition, the former can achieve 1.46−4.01 times the efficiency of the latter. (5) The surrogate model is an efficient predictive tool defining parameters of the Converter for improved energy acquisition.
Keywords
backpropagation neural network, flow-induced oscillation, galloping, harnessed power and efficiency, Modelling, two tandem cylinders, vortex-induced oscillation
Suggested Citation
Lv Y, Sun L, Bernitsas MM, Jiang M, Sun H. Modelling of a Flow-Induced Oscillation, Two-Cylinder, Hydrokinetic Energy Converter Based on Experimental Data. (2023). LAPSE:2023.29506
Author Affiliations
Lv Y: College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China
Sun L: College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China
Bernitsas MM: Marine Renewable Energy Laboratory, Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor, MI 48105, USA
Jiang M: College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China
Sun H: Marine Renewable Energy Laboratory, Naval Architecture and Marine Engineering, University of Michigan, Ann Arbor, MI 48105, USA; College of Aerospace and Civil Engineering, Harbin Engineering University, Harbin 150001, China
Journal Name
Energies
Volume
14
Issue
4
First Page
827
Year
2021
Publication Date
2021-02-05
Published Version
ISSN
1996-1073
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PII: en14040827, Publication Type: Journal Article
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LAPSE:2023.29506
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doi:10.3390/en14040827
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