27 August 2017 to 1 September 2017
RAI Congress Center, Amsterdam, The Netherlands
Europe/Amsterdam timezone

Magnetic field distribution prediction of a field-modulated tubular linear generator with quasi-Halbach magnetization for ocean wave energy conversion

31 Aug 2017, 13:45
1h 45m
Posters Area

Posters Area

Poster Presentation of 1h45m E3 - Wind, Wave, and Tidal Generators Thu-Af-Po4.06

Speaker

Dr Rong Guo (School of Electrical Engineering, Southeast University)

Description

Ocean wave energy has a higher energy density than other renewable resources such as solar, wind, and tide energy. In recent years, a various ocean wave energy extraction systems have been proposed and established. But the average speed of ocean wave is generally slow. This will lead the traditional linear generator with disadvantages of large weight and low power density. In order to solve this problem, there are a lot types of magnetic gear have been applied to increase the speed of the motor. But some of them are complex to manufacture and may cost a lot. Furthermore, the complex structure will reduce the stability of the generator device and make it unsuited for long-term operation in the sea. The FM-TLPMG with quasi-Halbach magnetization proposed in this paper is similar to the traditional cylindrical linear motor in the structure. Its simple structure and higher power density make it suitable for direct ocean wave conversion. But they operate in a completely different principle. The FM-TLPMG combined with the magnetic field modulated technique can accelerate the speed of the traveling magnetic field by the teeth in the primary. So the magnetic field distribution is a crucial step in the analysis and design process of this motor. The analytical solutions of magnet and armature magnetic field distribution of the proposed motor have been validated by finite-element calculations. Comparing analytically predicted and FEA calculated field components distributions for a given position that can be seen that the analytical prediction agrees well with FEA results.

Submitters Country China

Primary author

Co-authors

Prof. Haitao Yu (School of Electrical Engineering, Southeast University) Dr Rong Guo (School of Electrical Engineering, Southeast University) Xiaomei Liu (Southeast University) Lei Huang (Southeat University)

Presentation Materials

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