Design and analysis of a linear memory machine for ocean wave power generation

Yulong Liu, Xiaodong Zhang, Shuangxia Niu, Weinong Fu, Xinhua Guo

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

In this paper, a permanent magnet (PM) linear memory machine is proposed for ocean wave power generation. A notable feature of this machine is its online tunable mnemonic flux. This enables it to operate efficiently in a wide speed range and makes it suitable for the variable-speed wave-power generation. Moreover, this machine has both the PMs and the windings arranged in its stator so that it does not need slip rings or brushes. The proposed machine is also robust and cost-effective because it has a simple translator of slotted steel. In this paper, the configuration and working principle of the linear memory machine are firstly introduced. The results of a parametric analysis are presented to investigate the effects of the proposed machine’s geometric parameters. The performance of the proposed machine is then analyzed using time-stepping finite element method (TS-FEM).

Original languageEnglish
Article number5216
JournalEnergies
Volume13
Issue number19
DOIs
Publication statusPublished - Oct 2020

Keywords

  • Electric machines
  • Numerical analysis
  • Ocean wave power
  • Power generation

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering

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