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Optimization and comparison of flux-concentrating Nd-Fe-B generator considering variable power factor and wind conditions for a 6MW offshore wind turbine / Nurul Azim Bhuiyan; Alasdair McDonald

53rd International Universities Power Engineering Conference (UPEC 2018)

Swansea University Author: Bhuiyan, Nurul Azim

Abstract

A large proportion of offshore wind turbine designs are now based on directly driven permanent magnet synchronous generators using rare earth materials. During last few years, the price of Nd-Fe-B has increased and fluctuated significantly. The large price fluctuations encourage us to look at flux-c...

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Published in: 53rd International Universities Power Engineering Conference (UPEC 2018)
Published: Glasgow, Scotland 53rd International Universities Power Engineering Conference (UPEC 2018) 2018
Online Access: http://www.upec2018.com/
URI: https://cronfa.swan.ac.uk/Record/cronfa45486
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spelling 2019-01-08T14:27:30Z v2 45486 2018-11-07 Optimization and comparison of flux-concentrating Nd-Fe-B generator considering variable power factor and wind conditions for a 6MW offshore wind turbine Nurul Azim Bhuiyan Nurul Azim Bhuiyan true 0000-0002-1646-2096 false 36b3a440ac5e333da9442e2820d11c63 5469b80b52d9b91cef08cee0ae7f3d4f R0mEDq1FEIYPSoiamLB4/BXCE6Z9OGBXOD9D5JU4+T4= 2018-11-07 EEN A large proportion of offshore wind turbine designs are now based on directly driven permanent magnet synchronous generators using rare earth materials. During last few years, the price of Nd-Fe-B has increased and fluctuated significantly. The large price fluctuations encourage us to look at flux-concentrating Nd-Fe-B generator (where flux-concentrating characteristics helps to increase flux density in the air gap) and optimize that for offshore wind turbine generator. In this paper, a 6 MW generator using Nd-Fe-B magnet is designed analytically in MATLAB, where magnets are placed between magnetically conducting pole shoes to reinforce the air gap flux. The generator design is optimized for the best performance machine and lowest cost of energy. Further optimization is performed to compare the results with a 6 MW surface-mounted Nd-Fe-B generator. It is found that, the flux-concentrating Nd-Fe-B generator gives better cost of energy compare to surface mounted Nd-Fe-B generator. The effect of variable power factor and sensitivity to wind conditions are also estimated in this study. Conference contribution 53rd International Universities Power Engineering Conference (UPEC 2018) 53rd International Universities Power Engineering Conference (UPEC 2018) Glasgow, Scotland Cost of energy, flux-concentrating Nd-Fe-B generator, optimization, variable power factor, wind condition, wind turbine 0 9 2018 2018-09-01 http://www.upec2018.com/ College of Engineering Engineering CENG EEN None None 2019-01-08T14:27:30Z 2018-11-07T11:53:53Z College of Engineering Engineering Nurul Azim Bhuiyan 1 Alasdair McDonald 2 0045486-07112018115525.pdf UPECfullpaperfinal.pdf 2018-11-07T11:55:25Z Output 780339 application/pdf AM true Updated Copyright 08/01/2019 2018-11-07T00:00:00 true eng
title Optimization and comparison of flux-concentrating Nd-Fe-B generator considering variable power factor and wind conditions for a 6MW offshore wind turbine
spellingShingle Optimization and comparison of flux-concentrating Nd-Fe-B generator considering variable power factor and wind conditions for a 6MW offshore wind turbine
Bhuiyan, Nurul Azim
title_short Optimization and comparison of flux-concentrating Nd-Fe-B generator considering variable power factor and wind conditions for a 6MW offshore wind turbine
title_full Optimization and comparison of flux-concentrating Nd-Fe-B generator considering variable power factor and wind conditions for a 6MW offshore wind turbine
title_fullStr Optimization and comparison of flux-concentrating Nd-Fe-B generator considering variable power factor and wind conditions for a 6MW offshore wind turbine
title_full_unstemmed Optimization and comparison of flux-concentrating Nd-Fe-B generator considering variable power factor and wind conditions for a 6MW offshore wind turbine
title_sort Optimization and comparison of flux-concentrating Nd-Fe-B generator considering variable power factor and wind conditions for a 6MW offshore wind turbine
author_id_str_mv 36b3a440ac5e333da9442e2820d11c63
author_id_fullname_str_mv 36b3a440ac5e333da9442e2820d11c63_***_Bhuiyan, Nurul Azim
author Bhuiyan, Nurul Azim
author2 Nurul Azim Bhuiyan
Alasdair McDonald
format Conference contribution
container_title 53rd International Universities Power Engineering Conference (UPEC 2018)
publishDate 2018
institution Swansea University
publisher 53rd International Universities Power Engineering Conference (UPEC 2018)
college_str College of Engineering
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hierarchy_top_id collegeofengineering
hierarchy_top_title College of Engineering
hierarchy_parent_id collegeofengineering
hierarchy_parent_title College of Engineering
department_str Engineering{{{_:::_}}}College of Engineering{{{_:::_}}}Engineering
url http://www.upec2018.com/
document_store_str 1
active_str 1
description A large proportion of offshore wind turbine designs are now based on directly driven permanent magnet synchronous generators using rare earth materials. During last few years, the price of Nd-Fe-B has increased and fluctuated significantly. The large price fluctuations encourage us to look at flux-concentrating Nd-Fe-B generator (where flux-concentrating characteristics helps to increase flux density in the air gap) and optimize that for offshore wind turbine generator. In this paper, a 6 MW generator using Nd-Fe-B magnet is designed analytically in MATLAB, where magnets are placed between magnetically conducting pole shoes to reinforce the air gap flux. The generator design is optimized for the best performance machine and lowest cost of energy. Further optimization is performed to compare the results with a 6 MW surface-mounted Nd-Fe-B generator. It is found that, the flux-concentrating Nd-Fe-B generator gives better cost of energy compare to surface mounted Nd-Fe-B generator. The effect of variable power factor and sensitivity to wind conditions are also estimated in this study.
published_date 2018-09-01T06:25:32Z
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