Journal article 662 views 255 downloads
On the Optimization of Generators for Offshore Direct Drive Wind Turbines
IEEE Transactions on Energy Conversion, Volume: 32, Issue: 1, Pages: 348 - 358
Swansea University Author: Nurul Azim Bhuiyan
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DOI (Published version): 10.1109/TEC.2016.2624219
Abstract
The objective of this paper is to optimize direct drive permanent magnet synchronous generators for offshore direct drive wind turbines in order to reduce the cost of energy. A 6 MW wind turbine design is assumed and parametric electromagnetic and structural generator models are introduced for a sur...
Published in: | IEEE Transactions on Energy Conversion |
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ISSN: | 0885-8969 1558-0059 |
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2016
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URI: | https://cronfa.swan.ac.uk/Record/cronfa40140 |
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<?xml version="1.0"?><rfc1807><datestamp>2018-09-04T15:24:04.6461931</datestamp><bib-version>v2</bib-version><id>40140</id><entry>2018-05-14</entry><title>On the Optimization of Generators for Offshore Direct Drive Wind Turbines</title><swanseaauthors><author><sid>36b3a440ac5e333da9442e2820d11c63</sid><ORCID>0000-0002-1646-2096</ORCID><firstname>Nurul Azim</firstname><surname>Bhuiyan</surname><name>Nurul Azim Bhuiyan</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2018-05-14</date><deptcode>AERO</deptcode><abstract>The objective of this paper is to optimize direct drive permanent magnet synchronous generators for offshore direct drive wind turbines in order to reduce the cost of energy. A 6 MW wind turbine design is assumed and parametric electromagnetic and structural generator models are introduced for a surface-mounted magnet generator topology (using magnets with high BHmax) and a flux-concentrating variant (using magnets with lower BHmax). These are optimized using a hybrid genetic algorithm and pattern search process and the results show that the surface-mounted permanent magnet generator produces the lower cost of energy. The choice of objective function is addressed and it is found that a simplified metric incorporating generator cost and losses proxy produces similar designs to a full cost of energy calculation. Further steps to improve the quality of the model include the effect of generator mass on the design and cost of the turbine tower and foundation, which can add €0.4 m to the turbine cost. Further optimizations are carried out to show the impacts of magnetic material costs (doubling this leads to a €1.1/MWh increase in cost of energy) and generator diameter limits (increasing the upper limit from 6 to 8 m leads to a 0.9% drop in cost of energy) have on the choice of optimum independent variables.</abstract><type>Journal Article</type><journal>IEEE Transactions on Energy Conversion</journal><volume>32</volume><journalNumber>1</journalNumber><paginationStart>348</paginationStart><paginationEnd>358</paginationEnd><publisher/><issnPrint>0885-8969</issnPrint><issnElectronic>1558-0059</issnElectronic><keywords/><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2016</publishedYear><publishedDate>2016-12-31</publishedDate><doi>10.1109/TEC.2016.2624219</doi><url>https://pure.strath.ac.uk/portal/en/publications/on-the-optimization-of-generators-for-offshore-direct-drive-wind-turbines(80c21795-8774-4a95-8cd9-c54a4ab829bf).html</url><notes/><college>COLLEGE NANME</college><department>Aerospace Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>AERO</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2018-09-04T15:24:04.6461931</lastEdited><Created>2018-05-14T11:27:01.6425855</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering</level></path><authors><author><firstname>Alasdair</firstname><surname>McDonald</surname><order>1</order></author><author><firstname>Nurul Azim</firstname><surname>Bhuiyan</surname><order>2</order></author><author><firstname>Nurul Azim</firstname><surname>Bhuiyan</surname><orcid>0000-0002-1646-2096</orcid><order>3</order></author></authors><documents><document><filename>0040140-19062018120313.pdf</filename><originalFilename>journalfinal.pdf</originalFilename><uploaded>2018-06-19T12:03:13.6230000</uploaded><type>Output</type><contentLength>910506</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2018-06-19T00:00:00.0000000</embargoDate><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807> |
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2018-09-04T15:24:04.6461931 v2 40140 2018-05-14 On the Optimization of Generators for Offshore Direct Drive Wind Turbines 36b3a440ac5e333da9442e2820d11c63 0000-0002-1646-2096 Nurul Azim Bhuiyan Nurul Azim Bhuiyan true false 2018-05-14 AERO The objective of this paper is to optimize direct drive permanent magnet synchronous generators for offshore direct drive wind turbines in order to reduce the cost of energy. A 6 MW wind turbine design is assumed and parametric electromagnetic and structural generator models are introduced for a surface-mounted magnet generator topology (using magnets with high BHmax) and a flux-concentrating variant (using magnets with lower BHmax). These are optimized using a hybrid genetic algorithm and pattern search process and the results show that the surface-mounted permanent magnet generator produces the lower cost of energy. The choice of objective function is addressed and it is found that a simplified metric incorporating generator cost and losses proxy produces similar designs to a full cost of energy calculation. Further steps to improve the quality of the model include the effect of generator mass on the design and cost of the turbine tower and foundation, which can add €0.4 m to the turbine cost. Further optimizations are carried out to show the impacts of magnetic material costs (doubling this leads to a €1.1/MWh increase in cost of energy) and generator diameter limits (increasing the upper limit from 6 to 8 m leads to a 0.9% drop in cost of energy) have on the choice of optimum independent variables. Journal Article IEEE Transactions on Energy Conversion 32 1 348 358 0885-8969 1558-0059 31 12 2016 2016-12-31 10.1109/TEC.2016.2624219 https://pure.strath.ac.uk/portal/en/publications/on-the-optimization-of-generators-for-offshore-direct-drive-wind-turbines(80c21795-8774-4a95-8cd9-c54a4ab829bf).html COLLEGE NANME Aerospace Engineering COLLEGE CODE AERO Swansea University 2018-09-04T15:24:04.6461931 2018-05-14T11:27:01.6425855 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering Alasdair McDonald 1 Nurul Azim Bhuiyan 2 Nurul Azim Bhuiyan 0000-0002-1646-2096 3 0040140-19062018120313.pdf journalfinal.pdf 2018-06-19T12:03:13.6230000 Output 910506 application/pdf Accepted Manuscript true 2018-06-19T00:00:00.0000000 true eng |
title |
On the Optimization of Generators for Offshore Direct Drive Wind Turbines |
spellingShingle |
On the Optimization of Generators for Offshore Direct Drive Wind Turbines Nurul Azim Bhuiyan |
title_short |
On the Optimization of Generators for Offshore Direct Drive Wind Turbines |
title_full |
On the Optimization of Generators for Offshore Direct Drive Wind Turbines |
title_fullStr |
On the Optimization of Generators for Offshore Direct Drive Wind Turbines |
title_full_unstemmed |
On the Optimization of Generators for Offshore Direct Drive Wind Turbines |
title_sort |
On the Optimization of Generators for Offshore Direct Drive Wind Turbines |
author_id_str_mv |
36b3a440ac5e333da9442e2820d11c63 |
author_id_fullname_str_mv |
36b3a440ac5e333da9442e2820d11c63_***_Nurul Azim Bhuiyan |
author |
Nurul Azim Bhuiyan |
author2 |
Alasdair McDonald Nurul Azim Bhuiyan Nurul Azim Bhuiyan |
format |
Journal article |
container_title |
IEEE Transactions on Energy Conversion |
container_volume |
32 |
container_issue |
1 |
container_start_page |
348 |
publishDate |
2016 |
institution |
Swansea University |
issn |
0885-8969 1558-0059 |
doi_str_mv |
10.1109/TEC.2016.2624219 |
college_str |
Faculty of Science and Engineering |
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|
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facultyofscienceandengineering |
hierarchy_top_title |
Faculty of Science and Engineering |
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facultyofscienceandengineering |
hierarchy_parent_title |
Faculty of Science and Engineering |
department_str |
School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering |
url |
https://pure.strath.ac.uk/portal/en/publications/on-the-optimization-of-generators-for-offshore-direct-drive-wind-turbines(80c21795-8774-4a95-8cd9-c54a4ab829bf).html |
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description |
The objective of this paper is to optimize direct drive permanent magnet synchronous generators for offshore direct drive wind turbines in order to reduce the cost of energy. A 6 MW wind turbine design is assumed and parametric electromagnetic and structural generator models are introduced for a surface-mounted magnet generator topology (using magnets with high BHmax) and a flux-concentrating variant (using magnets with lower BHmax). These are optimized using a hybrid genetic algorithm and pattern search process and the results show that the surface-mounted permanent magnet generator produces the lower cost of energy. The choice of objective function is addressed and it is found that a simplified metric incorporating generator cost and losses proxy produces similar designs to a full cost of energy calculation. Further steps to improve the quality of the model include the effect of generator mass on the design and cost of the turbine tower and foundation, which can add €0.4 m to the turbine cost. Further optimizations are carried out to show the impacts of magnetic material costs (doubling this leads to a €1.1/MWh increase in cost of energy) and generator diameter limits (increasing the upper limit from 6 to 8 m leads to a 0.9% drop in cost of energy) have on the choice of optimum independent variables. |
published_date |
2016-12-31T03:51:05Z |
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1763752506518667264 |
score |
11.036006 |