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Revisiting the assumptions and implementation details of the BAY model for vortex generator flows

Marinos Manolesos, G. Papadakis, S.G. Voutsinas

Renewable Energy, Volume: 146, Pages: 1249 - 1261

Swansea University Author: Marinos Manolesos

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DOI (Published version): 10.1016/j.renene.2019.07.063

Abstract

Today, Vortex Generators (VGs) are becoming an integral part of a Wind Turbine blade design. However, the challenges involved in the computation of the flow around VGs are yet to be dealt with in a satisfactory manner. A large number of VG models for Reynolds Averaged Navier Stokes (RANS) solvers ha...

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Published in: Renewable Energy
ISSN: 0960-1481
Published: Elsevier BV 2020
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URI: https://cronfa.swan.ac.uk/Record/cronfa51068
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spelling 2023-02-21T16:27:01.1162185 v2 51068 2019-07-11 Revisiting the assumptions and implementation details of the BAY model for vortex generator flows 44a3e0d351ccd7a8365d5fc7c50c8778 Marinos Manolesos Marinos Manolesos true false 2019-07-11 FGSEN Today, Vortex Generators (VGs) are becoming an integral part of a Wind Turbine blade design. However, the challenges involved in the computation of the flow around VGs are yet to be dealt with in a satisfactory manner. A large number of VG models for Reynolds Averaged Navier Stokes (RANS) solvers has been proposed and, among them, the Bender–Anderson–Yagle (BAY) model (ASME Pap. FEDSM99-6919) is one of the most popular, due to its ease of use and relatively low requirements for user input. In the present paper a thorough investigation on the performance and application of the BAY model for aerodynamic VG flows is presented. A fully resolved RANS simulation is validated against experiments and then used as a benchmark for the BAY model simulations. A case relevant to wind turbines is examined, which deals with the flow past a wind turbine airfoil at Reynolds number 0.87e6. When the grid related errors are excluded, it is found that the generated vortices are weaker in the BAY model simulations than in the fully resolved computation. The latter finding is linked to an inherent deficiency of the model, which is first found in this study and which is explained in detail. Journal Article Renewable Energy 146 1249 1261 Elsevier BV 0960-1481 BAY model, RANS simulations, Vortex generator 1 2 2020 2020-02-01 10.1016/j.renene.2019.07.063 This study was performed within the AVATAR project (FP7 program of the European Union). The numerical results presented here constitute the most detailed analysis of the most commonly used Vortex Generator model, revealing inherent deficiencies and suggesting ways to overcome them. COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2023-02-21T16:27:01.1162185 2019-07-11T11:36:05.6230232 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering Marinos Manolesos 1 G. Papadakis 2 S.G. Voutsinas 3 0051068-25072019092919.pdf manolesos2019(2).pdf 2019-07-25T09:29:19.3100000 Output 5411597 application/pdf Version of Record true 2019-07-25T00:00:00.0000000 false eng
title Revisiting the assumptions and implementation details of the BAY model for vortex generator flows
spellingShingle Revisiting the assumptions and implementation details of the BAY model for vortex generator flows
Marinos Manolesos
title_short Revisiting the assumptions and implementation details of the BAY model for vortex generator flows
title_full Revisiting the assumptions and implementation details of the BAY model for vortex generator flows
title_fullStr Revisiting the assumptions and implementation details of the BAY model for vortex generator flows
title_full_unstemmed Revisiting the assumptions and implementation details of the BAY model for vortex generator flows
title_sort Revisiting the assumptions and implementation details of the BAY model for vortex generator flows
author_id_str_mv 44a3e0d351ccd7a8365d5fc7c50c8778
author_id_fullname_str_mv 44a3e0d351ccd7a8365d5fc7c50c8778_***_Marinos Manolesos
author Marinos Manolesos
author2 Marinos Manolesos
G. Papadakis
S.G. Voutsinas
format Journal article
container_title Renewable Energy
container_volume 146
container_start_page 1249
publishDate 2020
institution Swansea University
issn 0960-1481
doi_str_mv 10.1016/j.renene.2019.07.063
publisher Elsevier BV
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 Today, Vortex Generators (VGs) are becoming an integral part of a Wind Turbine blade design. However, the challenges involved in the computation of the flow around VGs are yet to be dealt with in a satisfactory manner. A large number of VG models for Reynolds Averaged Navier Stokes (RANS) solvers has been proposed and, among them, the Bender–Anderson–Yagle (BAY) model (ASME Pap. FEDSM99-6919) is one of the most popular, due to its ease of use and relatively low requirements for user input. In the present paper a thorough investigation on the performance and application of the BAY model for aerodynamic VG flows is presented. A fully resolved RANS simulation is validated against experiments and then used as a benchmark for the BAY model simulations. A case relevant to wind turbines is examined, which deals with the flow past a wind turbine airfoil at Reynolds number 0.87e6. When the grid related errors are excluded, it is found that the generated vortices are weaker in the BAY model simulations than in the fully resolved computation. The latter finding is linked to an inherent deficiency of the model, which is first found in this study and which is explained in detail.
published_date 2020-02-01T04:02:49Z
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score 11.013619

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