No Cover Image

Journal article 2701 views 604 downloads

Computational aerodynamic optimisation of vertical axis wind turbine blades

Matt Kear, Ben Evans Orcid Logo, Rob Ellis, Sam Rolland Orcid Logo

Applied Mathematical Modelling, Volume: 40, Issue: 2, Pages: 1038 - 1051

Swansea University Authors: Ben Evans Orcid Logo, Sam Rolland Orcid Logo

Check full text

DOI (Published version): 10.1016/j.apm.2015.07.001

Abstract

The approach and results of a parametric aerodynamic optimisation study is presented to develop the blade design for a novel implementation of a vertical axis wind turbine. It was applied to optimise the two-dimensional cross-sectional geometry of the blades comprising the turbine. Unsteady viscous...

Full description

Published in: Applied Mathematical Modelling
ISSN: 0307-904X
Published: 2016
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa22343
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2015-07-14T02:04:09Z
last_indexed 2020-07-01T18:33:34Z
id cronfa22343
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2020-07-01T16:17:01.0128995</datestamp><bib-version>v2</bib-version><id>22343</id><entry>2015-07-13</entry><title>Computational aerodynamic optimisation of vertical axis wind turbine blades</title><swanseaauthors><author><sid>3d273fecc8121fe6b53b8fe5281b9c97</sid><ORCID>0000-0003-3662-9583</ORCID><firstname>Ben</firstname><surname>Evans</surname><name>Ben Evans</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>c14ac34a71e9c058d1d2a353b44a24cd</sid><ORCID>0000-0003-0455-5620</ORCID><firstname>Sam</firstname><surname>Rolland</surname><name>Sam Rolland</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2015-07-13</date><deptcode>AERO</deptcode><abstract>The approach and results of a parametric aerodynamic optimisation study is presented to develop the blade design for a novel implementation of a vertical axis wind turbine. It was applied to optimise the two-dimensional cross-sectional geometry of the blades comprising the turbine. Unsteady viscous computational fluid dynamic simulations were used to evaluate blade performance. To compare geometries, the non-dimensional Coefficient of Power was used as a fitness function. Moving meshes were used to study the transient nature of the physical process. A new parameterisation approach using circular arcs has been developed for the blade cross sections. The optimisation process was conducted in two stages: firstly a Design of Experiments based response surface fitting was used to explore the parametric design space followed by the use of a Nelder-Mead simplex gradient-based optimisation procedure. The outcome of the optimisation study is a new blade design that is currently being tested in full-scale concept trials by a partnering wind energy company.</abstract><type>Journal Article</type><journal>Applied Mathematical Modelling</journal><volume>40</volume><journalNumber>2</journalNumber><paginationStart>1038</paginationStart><paginationEnd>1051</paginationEnd><publisher/><issnPrint>0307-904X</issnPrint><keywords/><publishedDay>15</publishedDay><publishedMonth>1</publishedMonth><publishedYear>2016</publishedYear><publishedDate>2016-01-15</publishedDate><doi>10.1016/j.apm.2015.07.001</doi><url/><notes>Available online 21 July 2015</notes><college>COLLEGE NANME</college><department>Aerospace Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>AERO</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2020-07-01T16:17:01.0128995</lastEdited><Created>2015-07-13T10:03:25.6160071</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>Matt</firstname><surname>Kear</surname><order>1</order></author><author><firstname>Ben</firstname><surname>Evans</surname><orcid>0000-0003-3662-9583</orcid><order>2</order></author><author><firstname>Rob</firstname><surname>Ellis</surname><order>3</order></author><author><firstname>Sam</firstname><surname>Rolland</surname><orcid>0000-0003-0455-5620</orcid><order>4</order></author></authors><documents><document><filename>0022343-225201662353PM.pdf</filename><originalFilename>JonesComputationalaerodynamicoptimisation2015AM.pdf</originalFilename><uploaded>2016-02-25T18:23:53.3900000</uploaded><type>Output</type><contentLength>1802363</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2016-07-21T00:00:00.0000000</embargoDate><copyrightCorrect>true</copyrightCorrect></document></documents><OutputDurs/></rfc1807>
spelling 2020-07-01T16:17:01.0128995 v2 22343 2015-07-13 Computational aerodynamic optimisation of vertical axis wind turbine blades 3d273fecc8121fe6b53b8fe5281b9c97 0000-0003-3662-9583 Ben Evans Ben Evans true false c14ac34a71e9c058d1d2a353b44a24cd 0000-0003-0455-5620 Sam Rolland Sam Rolland true false 2015-07-13 AERO The approach and results of a parametric aerodynamic optimisation study is presented to develop the blade design for a novel implementation of a vertical axis wind turbine. It was applied to optimise the two-dimensional cross-sectional geometry of the blades comprising the turbine. Unsteady viscous computational fluid dynamic simulations were used to evaluate blade performance. To compare geometries, the non-dimensional Coefficient of Power was used as a fitness function. Moving meshes were used to study the transient nature of the physical process. A new parameterisation approach using circular arcs has been developed for the blade cross sections. The optimisation process was conducted in two stages: firstly a Design of Experiments based response surface fitting was used to explore the parametric design space followed by the use of a Nelder-Mead simplex gradient-based optimisation procedure. The outcome of the optimisation study is a new blade design that is currently being tested in full-scale concept trials by a partnering wind energy company. Journal Article Applied Mathematical Modelling 40 2 1038 1051 0307-904X 15 1 2016 2016-01-15 10.1016/j.apm.2015.07.001 Available online 21 July 2015 COLLEGE NANME Aerospace Engineering COLLEGE CODE AERO Swansea University 2020-07-01T16:17:01.0128995 2015-07-13T10:03:25.6160071 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering Matt Kear 1 Ben Evans 0000-0003-3662-9583 2 Rob Ellis 3 Sam Rolland 0000-0003-0455-5620 4 0022343-225201662353PM.pdf JonesComputationalaerodynamicoptimisation2015AM.pdf 2016-02-25T18:23:53.3900000 Output 1802363 application/pdf Accepted Manuscript true 2016-07-21T00:00:00.0000000 true
title Computational aerodynamic optimisation of vertical axis wind turbine blades
spellingShingle Computational aerodynamic optimisation of vertical axis wind turbine blades
Ben Evans
Sam Rolland
title_short Computational aerodynamic optimisation of vertical axis wind turbine blades
title_full Computational aerodynamic optimisation of vertical axis wind turbine blades
title_fullStr Computational aerodynamic optimisation of vertical axis wind turbine blades
title_full_unstemmed Computational aerodynamic optimisation of vertical axis wind turbine blades
title_sort Computational aerodynamic optimisation of vertical axis wind turbine blades
author_id_str_mv 3d273fecc8121fe6b53b8fe5281b9c97
c14ac34a71e9c058d1d2a353b44a24cd
author_id_fullname_str_mv 3d273fecc8121fe6b53b8fe5281b9c97_***_Ben Evans
c14ac34a71e9c058d1d2a353b44a24cd_***_Sam Rolland
author Ben Evans
Sam Rolland
author2 Matt Kear
Ben Evans
Rob Ellis
Sam Rolland
format Journal article
container_title Applied Mathematical Modelling
container_volume 40
container_issue 2
container_start_page 1038
publishDate 2016
institution Swansea University
issn 0307-904X
doi_str_mv 10.1016/j.apm.2015.07.001
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id 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
document_store_str 1
active_str 0
description The approach and results of a parametric aerodynamic optimisation study is presented to develop the blade design for a novel implementation of a vertical axis wind turbine. It was applied to optimise the two-dimensional cross-sectional geometry of the blades comprising the turbine. Unsteady viscous computational fluid dynamic simulations were used to evaluate blade performance. To compare geometries, the non-dimensional Coefficient of Power was used as a fitness function. Moving meshes were used to study the transient nature of the physical process. A new parameterisation approach using circular arcs has been developed for the blade cross sections. The optimisation process was conducted in two stages: firstly a Design of Experiments based response surface fitting was used to explore the parametric design space followed by the use of a Nelder-Mead simplex gradient-based optimisation procedure. The outcome of the optimisation study is a new blade design that is currently being tested in full-scale concept trials by a partnering wind energy company.
published_date 2016-01-15T03:26:36Z
_version_ 1763750965426520064
score 11.037166

Similar Items