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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

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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...

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Published in: Applied Mathematical Modelling
ISSN: 0307-904X
Published: 2016
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URI: https://cronfa.swan.ac.uk/Record/cronfa22343
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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
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score 11.012678

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