Comparing WAsP and Fluent for Highly Complex Terrain Wind Prediction

Cabezón, D.; Iniesta, A.; Ferrer, Esteban; Martí, Ignacio

doi:10.1007/978-3-540-33866-6_51

Cited by 3 publications

(3 citation statements)

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“…[39]) were also conducted using WAsP for a complex orography similar to that in the study area at hand. In addition, WAsP showed the relatively low average error of 5.4% in a direct comparison of different numeric models on the extrapolation of the wind speed in complex terrain [40]. This verifies the applicability of WAsP for the issue investigated in this study.…”

Section: Discussionsupporting

confidence: 76%

The climatic wind energy potential — present and future: GIS-analysis in the region of Freiburg im Breisgau based on observed data and Regional Climate Models

Richert¹,

Matzarakis

2014

Open Geosciences

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Abstract:The current and future wind energy potentials for two square areas (SA) in the region of Freiburg were assessed and analyzed , with the aim of mitigating climate change by increasing the use of wind energy. For future conditions the regional climate models REMO and CLM were taken into account for the IPCC Emission Scenarios (SRES) A1B and B1. One aim was to provide information of the applicability of data from regional climate models in terms of wind energy. As a reference dataset, the wind energy potentials of the two measurement stations of the German Weather Service (DWD) in Freiburg (SA I) and on the Feldberg (SA II) were assessed. Calculations were carried out by the Wind Analysis and Application Program (WAsP). Results were in terms of visual analysis displayed with maps. While the annual electricity performances of the reference data in SA I and SA II reach up to 7.2 GWh and 10.1 GWh respectively, the calculations for REMO and CLM show an underestimation of the real conditions for every period and Emission Scenario. Hence the applicability of the models in consideration seems to be limited. Nevertheless, with regard to different socio-economic developments (SRES A1B and B1), the results provide an overview of the wind energy potentials' development in the different periods.

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Section: Discussionsupporting

confidence: 76%

The climatic wind energy potential — present and future: GIS-analysis in the region of Freiburg im Breisgau based on observed data and Regional Climate Models

Richert¹,

Matzarakis

2014

Open Geosciences

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“…In recent years, FLUENT has been widely used in the meteorological field. Li [22,[39][40][41], Cabezón [42], Wei [43], et al studied the wind field simulation over complex terrain using FLUENT.…”

Section: Cfd Model Setupmentioning

confidence: 99%

A Study on Microscale Wind Simulations with a Coupled WRF–CFD Model in the Chongli Mountain Region of Hebei Province, China

Sun

Zhang

et al. 2019

Atmosphere

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To ensure successful hosting of the 2022 Olympic Winter Games, a comprehensive understanding of the wind field characteristics in the Chongli Mountain region is essential. The purpose of this research was to accurately simulate the microscale wind in the Chongli Mountain region. Coupling the Weather Research and Forecasting (WRF) model with a computational fluid dynamics (CFD) model is a method for simulating the microscale wind field over complex terrain. The performance of the WRF-CFD model in the Chongli Mountain region was enhanced from two aspects. First, as WRF offers multiple physical schemes, a sensitivity analysis was performed to evaluate which scheme provided the best boundary condition for CFD. Second, to solve the problem of terrain differences between the WRF and CFD models, an improved method capable of coupling these two models is proposed. The results show that these improvements can enhance the performance of the WRF-CFD model and produce a more accurate microscale simulation of the wind field in the Chongli Mountain region.Atmosphere 2019, 10, 731 2 of 21 models [9][10][11]. Therefore, great terrain differences exist between reality and the mesoscale models, and nearly no mesoscale model can work over extremely steep terrain. Some scholars applied WRF in the large eddy simulation (LES) mode to increase model resolution [12][13][14], but the low vertical resolution and the need for a smoothing process for terrain data still exist. Moreover, the computational cost of a WRF-LES simulation is relative high. Fortunately, the computational fluid dynamics (CFD) model can partially compensate for the shortcomings of the mesoscale model. First, CFD can simulate the wind field with higher spatial resolutions (a few meters to tens of meters) than those of the mesoscale models [15][16][17][18]. Moreover, most CFD models are based on the finite volume method, which can improve their ability to depict realistic terrain [19]. However, CFD has its shortcoming in coping with the boundary conditions, and usually uses a simple wind profile as the boundary condition in some research. The mesoscale model can be initialized using global-scale data, such as the National Centers for Environmental Prediction (NCEP) reanalysis data. Therefore, coupling the mesoscale models with the CFD models is one way of simulating the microscale wind field over complex terrain. In this coupled system, the mesoscale and CFD models are combined in an off-line way, and the boundary condition that drives the CFD simulation is taken from the outputs of the mesoscale model [20]. First, the wind field with low spatial resolution is simulated by the WRF model. Second, the WRF wind data are imposed on the boundary of the CFD model. Finally, a wind field with higher spatial resolution is simulated by the CFD model. The advantages of this system is that the mesoscale model can provide more realistic boundary conditions and CFD can provide a wind field simulation with much higher spatial resolution.In recent years, a large amount of research on ...

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“…For this reason, the CFD calculations were performed using Fluent 12.1, a broadly used, general purpose CFD package. Fluent has been used for wind simulations by other authors, and produced results comparable to dedicated wind modelling software [19,20].…”

Section: B Flow Solvermentioning

confidence: 99%

Applying Wind Simulations for Planning and Operation of Real-Time Thermal Ratings

Greenwood

Ingram

Taylor

2015

IEEE Trans. Smart Grid

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Real-Time Thermal Ratings (RTTR) is an emerging technology that allows the rating of electrical conductors to be estimated using real-time, local weather observations. In many cases this leads to a very significant (typically 50-100%) increase in rating with respect to conventional approaches. Conductor rating is heavily influenced by wind speed and direction. Consequently in this paper computational wind simulations, commonly employed by the wind energy industry, have been applied to inform rating estimation during network planning and operation. This provides an exciting opportunity to allow the identification of determining conductor spans, to inform network designers of the rating potential of different conductor routes, to estimate the additional wind energy that could be accommodated through the enhanced line rating and to allow intelligent placement of the monitoring equipment required to implement RTTR. The wind simulation data were also used to allow more accurate estimation of conductor ratings during operation. Two case studies taken from actual trial sites in the United Kingdom are presented to demonstrate that these techniques can provide a real world benefit.

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Comparing WAsP and Fluent for Highly Complex Terrain Wind Prediction

Cited by 3 publications

References 1 publication

The climatic wind energy potential — present and future: GIS-analysis in the region of Freiburg im Breisgau based on observed data and Regional Climate Models

The climatic wind energy potential — present and future: GIS-analysis in the region of Freiburg im Breisgau based on observed data and Regional Climate Models

A Study on Microscale Wind Simulations with a Coupled WRF–CFD Model in the Chongli Mountain Region of Hebei Province, China

Applying Wind Simulations for Planning and Operation of Real-Time Thermal Ratings

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