Counter-rotating electromagnetic generator with planetary gear amplification for low-frequency wave energy harvesting
Abstract
Ocean wave energy represents a promising renewable resource with high energy density. However, its inherently low-frequency, stochastic, and multi-directional characteristics pose significant challenges for efficient energy harvesting. In this study, a pendulum-type counter-rotating electromagnetic generator (CREMG) is proposed to address these issues. The CREMG integrates a planetary gear system and dual one-way bearings. The one-way bearings convert irregular bidirectional pendulum motion into unidirectional rotation, and the planetary gear system amplifies the rotation by a 1:4 transmission ratio, collectively enhancing energy conversion efficiency. Experimental results show that the proposed CREMG delivers a maximum RMS power of 304.46 mW at an optimal load resistance of 5000 Ω, with a 1 F capacitor charged to 3.44 V within 400 s, corresponding to a harvested energy of 5.92 J. To further validate its practical potential, the CREMG was used to power a customized wireless sensing circuit for temperature and humidity monitoring under random excitations. Overall, this work demonstrates a compact and efficient solution for low-frequency wave energy harvesting, offering a viable pathway toward self-powered marine sensing and autonomous ocean monitoring systems.
Article Details
Journal Info
Applied Physics Letters
American Institute of Physics
Authors (8)
Chengyun Du
Thrust of Internet of Things, The Hong Kong University of Science and Technology (Guangzhou) 1 , Guangzhou, Guangdong 511400,
Xiaoning Wang
Yizhou Li
Yawei Wang
Lihua Tang
Department of Mechanical and Mechatronics Engineering, The University of Auckland 2 , Auckland 1010,
Yupei Jian
School of Electrical Engineering, Southwest Jiaotong University 3 , Chengdu 610031,
Quanke Su
Thrust of Intelligent Transportation, The Hong Kong University of Science and Technology (Guangzhou) 4 , Nansha, Guangzhou 511400,
Guobiao Hu
Thrust of Internet of Things, The Hong Kong University of Science and Technology (Guangzhou) 1 , Guangzhou, Guangdong 511400,