Wind energy evaluation for a highly complex terrain using Computational Fluid Dynamics (CFD)

Dhunny, A.Z.; Lollchund, Michel Roddy; Rughooputh, S.D.D.V.

doi:10.1016/j.renene.2016.08.032

Cited by 76 publications

(32 citation statements)

References 13 publications

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“…The optimisation process of wind farm layout in flat and non-flat terrains recommended by [97]. The work of Dhunny et al [98] investigated the mean wind power predicted through the WindSim tool with on-site computation from nine meteorological positions all over a very complex topography at various heights. The research focused on in depth examination of different computational parameters such as the turbulence models, grid dependency test, the order of the Standard k-ε, k-ε with Yap corrections, RNG k-ε and Modified k-ε and the iterative convergence standards.…”

Section: Large Scalementioning

confidence: 99%

A Review of Numerical Modelling of Multi-Scale Wind Turbines and Their Environment

et al. 2018

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Abstract:Global demand for energy continues to increase rapidly, due to economic and population growth, especially for increasing market economies. These lead to challenges and worries about energy security that can increase as more users need more energy resources. Also, higher consumption of fossil fuels leads to more greenhouse gas emissions, which contribute to global warming. Moreover, there are still more people without access to electricity. Several studies have reported that one of the rapidly developing source of power is wind energy and with declining costs due to technology and manufacturing advancements and concerns over energy security and environmental issues, the trend is predicted to continue. As a result, tools and methods to simulate and optimize wind energy technologies must also continue to advance. This paper reviews the most recently published works in Computational Fluid Dynamic (CFD) simulations of micro to small wind turbines, building integrated with wind turbines, and wind turbines installed in wind farms. In addition, the existing limitations and complications included with the wind energy system modelling were examined and issues that needs further work are highlighted. This study investigated the current development of CFD modelling of wind energy systems. Studies on aerodynamic interaction among the atmospheric boundary layer or wind farm terrain and the turbine rotor and their wakes were investigated. Furthermore, CFD combined with other tools such as blade element momentum were examined. Keywords:Computational Fluid Dynamic (CFD); micro to small wind turbine; building integrated with wind turbine; wind farm; aerodynamic interaction; wind energy systems; atmospheric boundary layer (ABL); blade element momentum (BEM)

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Section: Large Scalementioning

confidence: 99%

A Review of Numerical Modelling of Multi-Scale Wind Turbines and Their Environment

et al. 2018

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“…As a support for the interpretation of the vibration spectra and their relation with the working parameters of the wind turbine (as for example yaw position), a free flow CFD simulation is performed, using the WindSim numerical tool [28,29] and adopting the Reynolds-Averaged Navier-Stokes (RANS) approach. Despite that in general, the complexity of the terrain and the interplay with wind turbine wakes call for more advanced approaches as for example Large-Eddy Simulations (LES), their use for simulation of full-scale wind turbines in real complex terrain is in the early stages [30].…”

Section: The Cfd Modelmentioning

confidence: 99%

Wind Turbine Loads Induced by Terrain and Wakes: An Experimental Study through Vibration Analysis and Computational Fluid Dynamics

et al. 2017

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Abstract:A wind turbine is a very well-known archetype of energy conversion system working at non-stationary regimes. Despite this, a deep mechanical comprehension of wind turbines operating in complicated conditions is still challenging, especially as regards the analysis of experimental data. In particular, wind turbines in complex terrain represent a very valuable testing ground because of the possible combination of wake effects among nearby turbines and flow accelerations caused by the terrain morphology. For these reasons, in this work, a cluster of four full-scale wind turbines from a very complex site is studied. The object of investigation is vibrations, at the level of the structure (tower) and drive-train. Data collected by the on-board condition monitoring system are analyzed and interpreted in light of the knowledge of wind conditions and operating parameters collected by the Supervisory Control And Data Acquisition (SCADA). A free flow Computational Fluid Dynamics (CFD) simulation is also performed, and it allows one to better interpret the vibration analysis. The main outcome is the interpretation of how wakes and flow turbulences appear in the vibration signals, both at the structural level and at the drive-train level. Therefore, this wind to gear approach builds a connection between flow phenomena and mechanical phenomena in the form of vibrations, representing a precious tool for assessing loads in different working conditions.

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“…However, increased computational capacity combined with a need for more accurate predictions of wind flow over complex terrain have made Computational Fluid Dynamics (CFD) models both practical and necessary. Most simulations solve the steady Reynolds-Averaged Navier-Stokes (RANS) equations, which are time independent and which provide the statistics for wind velocity at each grid point [3]. Other CFD simulation techniques that have higher accuracy, but higher computational cost are also being developed to analyze wind flow patterns and wind farm performance.…”

Section: Introductionmentioning

confidence: 99%

“…Several groups compared the results of WindSim to WAsP over complex terrain and found better performance in the CFD model WindSim [2,5,6]. Other studies validated the WindSim results against measurements without comparing to linear models [3,[7][8][9]. Castellani et al [8,10] evaluated turbine wake modeling in wind farms with complex terrain, compared results with on-site measurements, and studied the wake effects together with the terrain effects on the performance of wind farms.…”

Section: Introductionmentioning

confidence: 99%

“…Cattin et al [7] validated the use of WindSim over areas with heterogeneous land cover, but found that implementing a map of roughness lengths did not fully reproduce the effects of forested areas. Dhunny et al [3] validated the application of WindSim in an island situation using two roughness lengths, one for land and one for sea. Waewsak et al [9] applied WindSim to a wind resource assessment study in Thailand and found good agreement between simulation results and met mast measurements.…”

Section: Introductionmentioning

confidence: 99%

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Wind Energy Prediction in Highly Complex Terrain by Computational Fluid Dynamics

2019

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With rising levels of wind power penetration in global electricity production, the relevance of wind power prediction is growing. More accurate forecasts reduce the required total amount of energy reserve capacity needed to ensure grid reliability and the risk of penalty for wind farm operators. This study analyzes the Computational Fluid Dynamics (CFD) software WindSim regarding its ability to perform accurate wind power predictions in complex terrain. Simulations of the wind field and wind farm power output in the Swiss Jura Mountains at the location of the Juvent Wind Farm during winter were performed. The study site features the combined presence of three complexities: topography, heterogeneous vegetation including forest, and interactions between wind turbine wakes. Hence, it allows a comprehensive evaluation of the software. Various turbulence models, forest models, and wake models, as well as the effects of domain size and grid resolution were evaluated against wind and power observations from nine Vestas V90's 2.0-MW turbines. The results show that, with a proper combination of modeling options, WindSim is able to predict the performance of the wind farm with sufficient accuracy.

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Wind energy evaluation for a highly complex terrain using Computational Fluid Dynamics (CFD)

Cited by 76 publications

References 13 publications

A Review of Numerical Modelling of Multi-Scale Wind Turbines and Their Environment

A Review of Numerical Modelling of Multi-Scale Wind Turbines and Their Environment

Wind Turbine Loads Induced by Terrain and Wakes: An Experimental Study through Vibration Analysis and Computational Fluid Dynamics

Wind Energy Prediction in Highly Complex Terrain by Computational Fluid Dynamics

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