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Atmospheric boundary layer stability and its application to computational fluid dynamics
Dissertation (MEng)--University of Pretoria, 2018.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2018
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| _version_ | 1867613589855010816 |
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| access_status_str | Open Access |
| author2 | Craig, K.J. (Kenneth) |
| author_browse | Craig, K.J. (Kenneth) |
| author_facet | Craig, K.J. (Kenneth) |
| collection | Thesis |
| dc_rights_str_mv | © 2018 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MEng)--University of Pretoria, 2018. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/66234 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:38:33.603Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/66234 Atmospheric boundary layer stability and its application to computational fluid dynamics Craig, K.J. (Kenneth) u10028422@tuks.co.za Breedt, Hendrik Johannes UCTD Atmospheric boundary layer Atmospheric stability Monin Obukhov similarity theory Computational fluid dynamics (CFD) Wind energy Buoyancy Engineering, built environment and information technology theses SDG-13 SDG-13: Climate action Engineering, built environment and information technology theses SDG-07 SDG-07: Affordable and clean energy Engineering, built environment and information technology theses SDG-09 SDG-09: Industry, innovation and infrastructure Dissertation (MEng)--University of Pretoria, 2018. In the wind resource and wind turbine suitability industry Computational Fluid Dynamics has gained widespread use to model the airflow at proposed wind farm locations. These models typically focus on the neutrally stratified surface layer and ignore physical process such as buoyancy and the Coriolis force. These physical processes are integral to the accurate description of the atmospheric boundary layer and reductions in uncertainties of turbine suitability and power production calculations can be achieved if these processes are included. The present work focuses on atmospheric flows in which atmospheric stability and the Coriolis force are included. The study uses Monin-Obukhov Similarity Theory to analyse time series data output from a proposed wind farm location to determine the prevalence and impact of stability at the location. The output provides the necessary site data required for the CFD model as well as stability-dependent wind profiles from measurements. The results show non-neutral stratification to be the dominant condition onsite with impactful windfield changes between stability conditions. The wind flows considered in this work are classified as high Reynolds number flows and are based on numerical solutions of the Reynolds-Averaged Navier-Stokes equations. A two-equation closure method for turbulence based on the k __ turbulence model is utilized. Modifications are introduced to standard CFD model equations to account for the impact of atmospheric stability and ground roughness effects. The modifications are introduced by User Defined Functions that describe the profiles, source terms and wall functions required for the ABL CFD model. Two MOST models and two wall-function methods are investigated. The modifications are successfully validated using the horizontal homogeneity test in which the modifications are proved to be in equilibrium by the model�s ability to maintain inlet profiles of velocity and turbulence in an empty domain. The ABL model is applied to the complex terrain of the proposed wind farm location used in the data analysis study. The inputs required for the stability modifications are generated using the available measured data. Mesoscale data are used to describe the inlet boundary conditions. The model is successfully validated by cross prediction of the stabilitydependent wind velocity profiles between the two onsite masts. The advantage of the developed model is the applicability into standard wind industry loading and power production calculations using outputs from typical onsite measurement campaigns. The model is tuning-free and the site-specific modifications are input directly into the developed User Defined Functions. In summary, the results show that the implemented modifications and developed methods are applicable and reproduce the main wind flow characteristics in neutral and non-neutral flows over complex wind farm terrains. In additions, the developed method reduce modelling uncertainties compared against models and measurements that neglect non-neutral stratification. mi2025 Mechanical and Aeronautical Engineering MEng Unrestricted SDG-13: Climate action SDG-07: Affordable and clean energy SDG-09: Industry, innovation and infrastructure 2018-08-17T09:42:45Z 2018-08-17T09:42:45Z 2005/03/18 2018 Dissertation Breedt, HJ 2018, Atmospheric boundary layer stability and its application to computational fluid dynamics, MEng Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/66234> A2018 http://hdl.handle.net/2263/66234 en © 2018 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD Atmospheric boundary layer Atmospheric stability Monin Obukhov similarity theory Computational fluid dynamics (CFD) Wind energy Buoyancy Engineering, built environment and information technology theses SDG-13 SDG-13: Climate action Engineering, built environment and information technology theses SDG-07 SDG-07: Affordable and clean energy Engineering, built environment and information technology theses SDG-09 SDG-09: Industry, innovation and infrastructure Atmospheric boundary layer stability and its application to computational fluid dynamics |
| title | Atmospheric boundary layer stability and its application to computational fluid dynamics |
| title_full | Atmospheric boundary layer stability and its application to computational fluid dynamics |
| title_fullStr | Atmospheric boundary layer stability and its application to computational fluid dynamics |
| title_full_unstemmed | Atmospheric boundary layer stability and its application to computational fluid dynamics |
| title_short | Atmospheric boundary layer stability and its application to computational fluid dynamics |
| title_sort | atmospheric boundary layer stability and its application to computational fluid dynamics |
| topic | UCTD Atmospheric boundary layer Atmospheric stability Monin Obukhov similarity theory Computational fluid dynamics (CFD) Wind energy Buoyancy Engineering, built environment and information technology theses SDG-13 SDG-13: Climate action Engineering, built environment and information technology theses SDG-07 SDG-07: Affordable and clean energy Engineering, built environment and information technology theses SDG-09 SDG-09: Industry, innovation and infrastructure |
| url | http://hdl.handle.net/2263/66234 |