Development of a novel dual-modal hybrid energy harvester that uses 1:3 internal resonance for high performance
- Authors
- Kim, Sanghwi; Liu, Yonghao; Kim, Youngsup; Seok, Jongwon
- Issue Date
- Sep-2024
- Publisher
- Academic Press
- Keywords
- 1:3 internal resonance; Dual-modal hybrid wind energy harvester; Galerkin method; Galloping phenomenon; Multi-modal system; Two-step modal analysis
- Citation
- Mechanical Systems and Signal Processing, v.218
- Journal Title
- Mechanical Systems and Signal Processing
- Volume
- 218
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/74355
- DOI
- 10.1016/j.ymssp.2024.111552
- ISSN
- 0888-3270
1096-1216
- Abstract
- In this study, a new dual-modal hybrid wind energy harvester is proposed that uses the torsional and transverse galloping phenomena with 1:3 internal resonance. Two types of electric converters are used in this hybrid system to extract the generated power for maximizing the amount of electrical energy harvested. The proposed energy harvester has two principal modes with unique principal natural frequencies, one of which is three times higher than the other. A rigorous mathematical model is developed using the extended Hamilton principle, Galerkin method, and expansion theorem. Two types of aerodynamic models are derived and validated using computational fluid dynamics. A two-step modal analysis is performed to discretize and identify the dynamic characteristics of the system. Subsequently, a perturbation analysis is performed to identify the conditions for the occurrence of 1:3 internal resonance and the corresponding limit cycle oscillation. The experimental results obtained using the optimally designed system are compared to those obtained using the mathematically modeled system for validation, and the results of the two systems are mutually consistent. Conclusively, a total of 18.14 mW of electric power is harvested under an applied wind velocity of 10 m/s. Compared to the power generated by the control group, that generated by the proposed system is 189.3 % higher. © 2024 Elsevier Ltd
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