Design and Analysis of a Linear Memory Machine for Ocean Wave Power Generation

Yulong Liu, Xiaodong Zhang, Shuangxia Niu, Weinong Fu and Xinhua Guo
Additional contact information
Yulong Liu: College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China
Xiaodong Zhang: Shenzhen in Drive Amperex Co. Ltd., Shenzhen 300750, China
Shuangxia Niu: Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Weinong Fu: Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Xinhua Guo: College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China

Energies, 2020, vol. 13, issue 19, 1-12

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).

Keywords: electric machines; power generation; numerical analysis; ocean wave power (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/19/5216/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/19/5216/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:19:p:5216-:d:424492

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().