The University of Southampton
University of Southampton Institutional Repository

Design guidelines for a direct drive transverse- flux tidal power generator

Design guidelines for a direct drive transverse- flux tidal power generator
Design guidelines for a direct drive transverse- flux tidal power generator

Transverse- flux machines (TFMs) optimised to have a high torque density and a satisfactory power factor remain candidates for direct drive generators for high torque, low speed tidal and wind turbines. However, due to their complex structure their design tends to rely heavily on time consuming 3D fininte element analysis (FEA). In this paper we derive and present a set of normalised curves relating particular TFM's performance indicators to its normalised dimensions; the theory can be used to obtain similar curves for other TFMs. Additionally, the paper presents a design methodology using these curves to quickly determine the near optimal proportions of the machine, and estimate its performance. This will help to reduce the FEA effort considerably: FEA can be reserved to the final design stage, to refine and verify the design. The methodology is applied to the design of two machines for a commercial direct drive tidal generator that was developed at the University of Southampton.

Analytical optimisation, Direct-drive machines, Permanent magnet machines, Tidal generators, Transverse- flux machines
2085-2091
Institute of Electrical and Electronics Engineers Inc.
Anglada, J.R.
490de92f-7bbf-45c4-85bd-9772976c358c
Sharkh, S.M.
c8445516-dafe-41c2-b7e8-c21e295e56b9
Yuratich, M.A.
80b84a92-aa40-4e03-8c65-993ee5729380
Anglada, J.R.
490de92f-7bbf-45c4-85bd-9772976c358c
Sharkh, S.M.
c8445516-dafe-41c2-b7e8-c21e295e56b9
Yuratich, M.A.
80b84a92-aa40-4e03-8c65-993ee5729380

Anglada, J.R., Sharkh, S.M. and Yuratich, M.A. (2018) Design guidelines for a direct drive transverse- flux tidal power generator. In Proceedings - 2018 23rd International Conference on Electrical Machines, ICEM 2018. Institute of Electrical and Electronics Engineers Inc. pp. 2085-2091 . (doi:10.1109/ICELMACH.2018.8507153).

Record type: Conference or Workshop Item (Paper)

Abstract

Transverse- flux machines (TFMs) optimised to have a high torque density and a satisfactory power factor remain candidates for direct drive generators for high torque, low speed tidal and wind turbines. However, due to their complex structure their design tends to rely heavily on time consuming 3D fininte element analysis (FEA). In this paper we derive and present a set of normalised curves relating particular TFM's performance indicators to its normalised dimensions; the theory can be used to obtain similar curves for other TFMs. Additionally, the paper presents a design methodology using these curves to quickly determine the near optimal proportions of the machine, and estimate its performance. This will help to reduce the FEA effort considerably: FEA can be reserved to the final design stage, to refine and verify the design. The methodology is applied to the design of two machines for a commercial direct drive tidal generator that was developed at the University of Southampton.

Full text not available from this repository.

More information

Published date: 25 October 2018
Venue - Dates: 23rd International Conference on Electrical Machines, ICEM 2018, Alexandroupoli, Greece, 2018-09-03 - 2018-09-06
Keywords: Analytical optimisation, Direct-drive machines, Permanent magnet machines, Tidal generators, Transverse- flux machines

Identifiers

Local EPrints ID: 426643
URI: https://eprints.soton.ac.uk/id/eprint/426643
PURE UUID: 57ee656e-3f18-4914-9918-305d4928a915

Catalogue record

Date deposited: 07 Dec 2018 17:30
Last modified: 10 Dec 2018 17:30

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×