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Statistical analysis on the near-wake region of RANS turbulence closure models for vertical axis tidal turbine

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cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtualsource.department c6ad2f88-7772-4cd8-8f3c-ac2f6049c403
cris.virtualsource.department bb5cf05d-b377-4338-9f70-de1226b16cc2
cris.virtualsource.department ccf016e1-634e-4f03-a0ac-3992409d0f61
cris.virtualsource.department f58ac619-1d2d-4161-8cff-29ab0cf4e1cc
dc.contributor.author Muhammad Wafiuddin Abd Rahim
dc.contributor.author Anas Abdul Rahman
dc.contributor.author Ayu Abdul-Rahman
dc.contributor.author Muhammad Izham Ismail
dc.contributor.author Mohd Shukry Abdul Majid
dc.contributor.author Nasrul Amri Mohd Amin
dc.date.accessioned 2024-05-07T01:43:53Z
dc.date.available 2024-05-07T01:43:53Z
dc.date.issued 2022
dc.description.abstract The flow field in the near wake region (up to six turbine diameters downstream) of a tidal current turbine is strongly driven by the combined wake of the device support structure and the rotor. Accurate characterisation of the near-wake region is important, but it is dominated by highly turbulent, slow-moving fluid. At present, limited number of research has been undertaken into the characterisation of the near-wake region for a Vertical Axis Tidal Turbine (VATT) device using the Reynolds Averaged Navier Stokes (RANS) model in the shallow water environment of Malaysia. This paper presents a comprehensive statistical analysis using the Mean Absolute Error (MEA), Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) on the near-wake region for shallow water application by comparing numerical solutions (i.e., different types of RANS turbulence models using Ansys Fluent) with published experimental data. Seven RANS turbulence models with a single VATT, represented by using a cylindrical object, were employed in the preliminary study. The statistical analysis performed in this study is essential in exploring and giving a detailed understanding on the most suitable RANS turbulence model to be improved, specifically on its near-wake region. In this study, the near wake region is defined as D ≤ 6, where D is the device diameter. The analysis shows that the RANS numerical solutions are unable to accurately replicate the near-wake region based on large statistical errors computed. The average RMSE of near-wake region at z/D = [2, 3, 4, 6] are 0.5864, 0.4127, 0.4344 and 0.3577 while the average RMSE at far-wake region z/D = [8, 12] are 0.2269 and 0.1590, where z is the distance from the cylindrical object along the length of domain. The statistical error values are found to decrease with increasing downstream distance from a cylindrical object. Notably, the standard k–ε and realizable k–ε models are the two best turbulent models representing the near-wake region in RANS modelling, yielding the lowest statistical errors (RMSE at z/D = [2, 3, 4, 6] are 0.5666, 0.4020, 0.4113 and 0.3455) among the tested parameters
dc.identifier.doi 10.14710/ijred.2023.48380
dc.identifier.uri https://ijred.cbiore.id/index.php/ijred/article/view/48380
dc.identifier.uri https://ijred.cbiore.id/index.php/ijred/index
dc.identifier.uri https://hdl.handle.net/20.500.14170/2389
dc.language.iso en
dc.relation.ispartof International Journal of Renewable Energy Development
dc.relation.issn 2252-4940
dc.title Statistical analysis on the near-wake region of RANS turbulence closure models for vertical axis tidal turbine
dc.type journal-article
dspace.entity.type Publication
oaire.citation.endPage 143
oaire.citation.issue 1
oaire.citation.startPage 129
oaire.citation.volume 12
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Utara Malaysia
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
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