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Shape optimisation of the sharp-heeled Kaplan draft tube: Performance evaluation using Computational Fluid Dynamics

S.J. Daniels, Alma Rahat Orcid Logo, G.R. Tabor, J.E. Fieldsend, R.M. Everson

Renewable Energy, Volume: 160, Pages: 112 - 126

Swansea University Author: Alma Rahat Orcid Logo

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Abstract

A methodology to assess the performance of an elbow-type draft tube is outlined. This was achieved using Computational Fluid Dynamics (CFD) to evaluate the pressure recovery and mechanical energylosses along a draft tube design, while using open-source and commercial software to parameterise and reg...

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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/cronfa54659
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spelling 2022-11-01T15:26:42.4470986 v2 54659 2020-07-07 Shape optimisation of the sharp-heeled Kaplan draft tube: Performance evaluation using Computational Fluid Dynamics 6206f027aca1e3a5ff6b8cd224248bc2 0000-0002-5023-1371 Alma Rahat Alma Rahat true false 2020-07-07 SCS A methodology to assess the performance of an elbow-type draft tube is outlined. This was achieved using Computational Fluid Dynamics (CFD) to evaluate the pressure recovery and mechanical energylosses along a draft tube design, while using open-source and commercial software to parameterise and regenerate the geometry and CFD grid. An initial validation study of the elbow-type draft tube is carriedout, focusing on the grid-regeneration methodology, steady-state assumption, and turbulence modelling approach for evaluating the design’s efficiency. The Grid Convergence Index (GCI) technique was used to assess the uncertainty of the pressure recovery to the grid resolution. It was found that estimating the pressure recovery through area-weighted averaging significantly reduced the uncertainty due to the grid. Simultaneously, it was found that this uncertainty fluctuated with the local cross-sectional area along the geometry. Subsequently, a study of the inflow cone and outer-heel designs on the flowfield and pressure recovery was carried out. Catmull-Rom splines were used to parameterise these components, so as torecreate a number of proposed designs from the literature. GCI analysis is also applied to these designs,demonstrating the robustness of the grid-regeneration methodology. Journal Article Renewable Energy 160 112 126 Elsevier BV 0960-1481 Hölleforsen-Kaplan draft tube; Pressure recovery; Grid convergence index; cfMesh; Catmull-rom splines 1 11 2020 2020-11-01 10.1016/j.renene.2020.05.164 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2022-11-01T15:26:42.4470986 2020-07-07T07:42:25.9382407 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science S.J. Daniels 1 Alma Rahat 0000-0002-5023-1371 2 G.R. Tabor 3 J.E. Fieldsend 4 R.M. Everson 5 54659__17656__d4aa62c983604798899d7b7242a62840.pdf main.pdf 2020-07-07T08:05:25.5783541 Output 14491035 application/pdf Accepted Manuscript true 2021-06-29T00:00:00.0000000 Released under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND). true English
title Shape optimisation of the sharp-heeled Kaplan draft tube: Performance evaluation using Computational Fluid Dynamics
spellingShingle Shape optimisation of the sharp-heeled Kaplan draft tube: Performance evaluation using Computational Fluid Dynamics
Alma Rahat
title_short Shape optimisation of the sharp-heeled Kaplan draft tube: Performance evaluation using Computational Fluid Dynamics
title_full Shape optimisation of the sharp-heeled Kaplan draft tube: Performance evaluation using Computational Fluid Dynamics
title_fullStr Shape optimisation of the sharp-heeled Kaplan draft tube: Performance evaluation using Computational Fluid Dynamics
title_full_unstemmed Shape optimisation of the sharp-heeled Kaplan draft tube: Performance evaluation using Computational Fluid Dynamics
title_sort Shape optimisation of the sharp-heeled Kaplan draft tube: Performance evaluation using Computational Fluid Dynamics
author_id_str_mv 6206f027aca1e3a5ff6b8cd224248bc2
author_id_fullname_str_mv 6206f027aca1e3a5ff6b8cd224248bc2_***_Alma Rahat
author Alma Rahat
author2 S.J. Daniels
Alma Rahat
G.R. Tabor
J.E. Fieldsend
R.M. Everson
format Journal article
container_title Renewable Energy
container_volume 160
container_start_page 112
publishDate 2020
institution Swansea University
issn 0960-1481
doi_str_mv 10.1016/j.renene.2020.05.164
publisher Elsevier BV
college_str Faculty of Science and Engineering
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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 Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
description A methodology to assess the performance of an elbow-type draft tube is outlined. This was achieved using Computational Fluid Dynamics (CFD) to evaluate the pressure recovery and mechanical energylosses along a draft tube design, while using open-source and commercial software to parameterise and regenerate the geometry and CFD grid. An initial validation study of the elbow-type draft tube is carriedout, focusing on the grid-regeneration methodology, steady-state assumption, and turbulence modelling approach for evaluating the design’s efficiency. The Grid Convergence Index (GCI) technique was used to assess the uncertainty of the pressure recovery to the grid resolution. It was found that estimating the pressure recovery through area-weighted averaging significantly reduced the uncertainty due to the grid. Simultaneously, it was found that this uncertainty fluctuated with the local cross-sectional area along the geometry. Subsequently, a study of the inflow cone and outer-heel designs on the flowfield and pressure recovery was carried out. Catmull-Rom splines were used to parameterise these components, so as torecreate a number of proposed designs from the literature. GCI analysis is also applied to these designs,demonstrating the robustness of the grid-regeneration methodology.
published_date 2020-11-01T04:08:19Z
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score 11.012678