Effects of Turbulence Modeling on the Simulation of Wind Flow over Typical Complex Terrains

The correct prediction of the wind speed and turbulence levels over complex terrain is essential for accurately assessing wind turbine wake recovery, power production, safety, and wind farm design. In this paper, two modified RANS turbulence models are proposed, which are innovative variants of the...

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Main Authors: Guolin Ma, Linlin Tian, Yilei Song, Ning Zhao
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Applied Sciences
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Online Access:https://www.mdpi.com/2076-3417/14/23/11438
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author Guolin Ma
Linlin Tian
Yilei Song
Ning Zhao
author_facet Guolin Ma
Linlin Tian
Yilei Song
Ning Zhao
author_sort Guolin Ma
collection DOAJ
description The correct prediction of the wind speed and turbulence levels over complex terrain is essential for accurately assessing wind turbine wake recovery, power production, safety, and wind farm design. In this paper, two modified RANS turbulence models are proposed, which are innovative variants of the conventional SST <i>k</i>-<i>ω</i> model and the linear Reynolds stress model (RSM) featuring optimized closure constants. Then, these two modified models and their origin models are applied to compare and analyze wind flows from a 3D hill wind tunnel experiment and two field measurements over typical complex terrain, including Askervein hill and Bolund island, with the aim of analyzing the sensitivity of wind flows to different RANS turbulence models. The study focuses on analyzing the effects of different turbulence models on the self-sustainability of wind speed and turbulent kinetic energy upstream of the computational domain and on the accuracy of wind flow prediction over complex terrain. The results show that our modified RSM model shows better agreement with the available experimental data on the upstream and leeward sides of all simulated hills. The wind speed on the leeward slope is particularly sensitive to the turbulence model, with a maximum difference in the relative root mean square error (RRMSE) that can reach 11% among the four models. The accuracy of the turbulent kinetic energy depends on the self-sustainability of the upstream turbulent kinetic energy and the predictive ability of the turbulence model for separated flows, and the maximum difference in the RRMSE of the four models can reach 47%. In addition, the advantages and disadvantages of the tested models are discussed to provide guidance for model selection during wind flow simulations in complex terrain.
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spelling doaj-art-d70bf16b73624d03a4be9f7b7947962a2024-12-13T16:23:54ZengMDPI AGApplied Sciences2076-34172024-12-0114231143810.3390/app142311438Effects of Turbulence Modeling on the Simulation of Wind Flow over Typical Complex TerrainsGuolin Ma0Linlin Tian1Yilei Song2Ning Zhao3College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaCollege of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaCollege of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaCollege of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaThe correct prediction of the wind speed and turbulence levels over complex terrain is essential for accurately assessing wind turbine wake recovery, power production, safety, and wind farm design. In this paper, two modified RANS turbulence models are proposed, which are innovative variants of the conventional SST <i>k</i>-<i>ω</i> model and the linear Reynolds stress model (RSM) featuring optimized closure constants. Then, these two modified models and their origin models are applied to compare and analyze wind flows from a 3D hill wind tunnel experiment and two field measurements over typical complex terrain, including Askervein hill and Bolund island, with the aim of analyzing the sensitivity of wind flows to different RANS turbulence models. The study focuses on analyzing the effects of different turbulence models on the self-sustainability of wind speed and turbulent kinetic energy upstream of the computational domain and on the accuracy of wind flow prediction over complex terrain. The results show that our modified RSM model shows better agreement with the available experimental data on the upstream and leeward sides of all simulated hills. The wind speed on the leeward slope is particularly sensitive to the turbulence model, with a maximum difference in the relative root mean square error (RRMSE) that can reach 11% among the four models. The accuracy of the turbulent kinetic energy depends on the self-sustainability of the upstream turbulent kinetic energy and the predictive ability of the turbulence model for separated flows, and the maximum difference in the RRMSE of the four models can reach 47%. In addition, the advantages and disadvantages of the tested models are discussed to provide guidance for model selection during wind flow simulations in complex terrain.https://www.mdpi.com/2076-3417/14/23/11438wind flow predictioncomplex terrainflow separationturbulence modelRSM turbulence model
spellingShingle Guolin Ma
Linlin Tian
Yilei Song
Ning Zhao
Effects of Turbulence Modeling on the Simulation of Wind Flow over Typical Complex Terrains
Applied Sciences
wind flow prediction
complex terrain
flow separation
turbulence model
RSM turbulence model
title Effects of Turbulence Modeling on the Simulation of Wind Flow over Typical Complex Terrains
title_full Effects of Turbulence Modeling on the Simulation of Wind Flow over Typical Complex Terrains
title_fullStr Effects of Turbulence Modeling on the Simulation of Wind Flow over Typical Complex Terrains
title_full_unstemmed Effects of Turbulence Modeling on the Simulation of Wind Flow over Typical Complex Terrains
title_short Effects of Turbulence Modeling on the Simulation of Wind Flow over Typical Complex Terrains
title_sort effects of turbulence modeling on the simulation of wind flow over typical complex terrains
topic wind flow prediction
complex terrain
flow separation
turbulence model
RSM turbulence model
url https://www.mdpi.com/2076-3417/14/23/11438
work_keys_str_mv AT guolinma effectsofturbulencemodelingonthesimulationofwindflowovertypicalcomplexterrains
AT linlintian effectsofturbulencemodelingonthesimulationofwindflowovertypicalcomplexterrains
AT yileisong effectsofturbulencemodelingonthesimulationofwindflowovertypicalcomplexterrains
AT ningzhao effectsofturbulencemodelingonthesimulationofwindflowovertypicalcomplexterrains