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Optimal gear ratio selection of linear primary permanent magnet vernier machines for wave energy applications

Reza, Jafari; Asef, Pedram; Pouria, Sarhadi; Xiaoze, Pei; (2023) Optimal gear ratio selection of linear primary permanent magnet vernier machines for wave energy applications. IET Renewable Power Generation 10.1049/rpg2.12886. (In press). Green open access

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Abstract

Linear permanent magnet vernier generators offer a high capability of force density, making them appealing configurations for wave energy harvesting systems. In absolute terms, the performance of these machines is significantly influenced by the selection of slot/pole combinations based on the magnetic gearing effect. For the first time, this paper aims to investigate the impact of different gear ratios on a wide array of linear primary permanent magnet vernier machines (LPPMVMs) with different slot/pole combinations based on fair criteria to offer a more comprehensive understanding of gear ratio selection. To find the optimal number of slots and poles, the response surface methodology is adopted to obtain a robust design and make a fair comparison among LPPMVMs with optimum design characteristics using a cost-effective approach for the fast and reliable optimisation process. The higher gear ratios result in higher thrust force capability. This will help establishing a new route toward faster develpment of advanced LPPMVMs. The power loss models of LPPMVMs are studied to predict their steady-state and transient thermal behaviours, verifying their stability and safety, while a simple external forced convection method can be utilised. To verify the model, finite element analysis is exploited to confirm the electromagnetic and thermal analysis results and provide a more exhaustive investigation.

Type: Article
Title: Optimal gear ratio selection of linear primary permanent magnet vernier machines for wave energy applications
Open access status: An open access version is available from UCL Discovery
DOI: 10.1049/rpg2.12886
Publisher version: https://doi.org/10.1049/rpg2.12886
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third-party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Keywords: AC generators, electric generators, electric machine analysis, computing, electric power generation, electromagnetic devices, energy harvesting optimisation, renewable energy, power conversion, wave power generation, wave and tidal energy
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10181563
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