From meso-scale to micro scale LES modelling: Application by a wake effect study for an offshore wind farm

Mache, Melissa A.; Mouslim, Hakim; Mervoyer, L.

doi:10.1051/itmconf/20140201004

Cited by 6 publications

(4 citation statements)

References 7 publications

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“…However, in practice SOWFA is often used with a coarser near-wake grid ( 2.5-5 m). 5,[30][31][32] To examine the effect of near-wake grid resolution, SOWFA simulations of the U ∞ =8, 11, and 15 m/s cases are run with a coarse near-wake grid and the results of those simulations are compared to the SOWFA simulation results in section IV-A. The coarse near-wake grid is generated by omitting two of the grid refinement steps described in section II-D. By not refining the grid in Refinement Regions #4 and #5, we get a near-wake grid that has the dimensions of Refinement Region #3 (2.5R upstream, 24.0R downstream, 2.9R radial) and is filled with 4 m × 4 m × 4 m cells.…”

Section: Effects Of Near-wake Grid Resolutionmentioning

confidence: 99%

A Comparison of the NREL 5-MW Wake Characteristics Using Both SOWFA and OVERFLOW2

Anderson

Chow

Dam

2015

33rd Wind Energy Symposium

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The aerodynamic characteristics of the NREL 5-MW rotor were examined using two numerical simulation tools, an unsteady Reynolds-averaged Navier-Stokes method and a large eddy simulation method. OVERFLOW2 is a fully viscous, 3-D, Reynolds-averaged Navier-Stokes method. SOWFA (Simulator for Offshore Wind Farm Applications) is a wind farm simulation tool based on a large eddy simulation (LES) methodology with a line actuator method to represent rotor forces. Three laminar, steady, and uniform wind speed cases spread over the operating range of the NREL 5-MW turbine were simulated with OVERFLOW2 and SOWFA. The aerodynamic behavior predicted by each of the simulation tools was then analyzed and compared. The primary focus of the study was to compare the rotor wake behavior predicted by each simulation tool. The OVERFLOW2 and SOWFA results were found to have fairly good agreement, though there were some discrepancies. Additional SOWFA simulations were carried out to examine the effect of the size and resolution of the near-wake grid. The downstream length of the near-wake grid had only a small effect over the range examined. The grid resolution had a larger effect on turbine and wake behavior.

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Section: Effects Of Near-wake Grid Resolutionmentioning

confidence: 99%

A Comparison of the NREL 5-MW Wake Characteristics Using Both SOWFA and OVERFLOW2

Anderson

Chow

Dam

2015

33rd Wind Energy Symposium

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“…-Coupling to microscale models: this review focused solely on mesoscale model parametrizations. However, some subgrid-scale effects could be captured by coupling mesoscale to microscale models, which has been attempted (e.g., Maché et al 2014;Rasheed et al 2017;Santoni et al 2018;Durán et al 2019;Arthur et al 2020;Santoni et al 2020). However, those studies focused mostly on improving the wind modelling for a particular farm and not on farm-to-farm interactions for which much higher computational resources would be necessary.…”

Section: Wind-farm Parametrizations: Challenges and Opportunitiesmentioning

confidence: 99%

Review of Mesoscale Wind-Farm Parametrizations and Their Applications

Fischereit

Brown

Larsén

et al. 2021

Boundary-Layer Meteorol

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With the ongoing expansion of wind energy onshore and offshore, large-scale wind-farm-flow effects in a temporally- and spatially-heterogeneous atmosphere become increasingly relevant. Mesoscale models equipped with a wind-farm parametrization (WFP) can be used to study these effects. Here, we conduct a systematic literature review on the existing WFPs for mesoscale models, their applications and findings. In total, 10 different explicit WFPs have been identified. They differ in their description of the turbine-induced forces, and turbulence-kinetic-energy production. The WFPs have been validated for different target parameters through measurements and large-eddy simulations. The performance of the WFP depends considerably on the ability of the mesoscale model to simulate the background meteorological conditions correctly as well as on the model set-up. The different WFPs have been applied to both onshore and offshore environments around the world. Here, we summarize their findings regarding (1) the characterizations of wind-farm-flow effects, (2) the environmental impact of wind farms, and (3) the implication for wind-energy planning. Since wind-farm wakes can last for several tens of kilometres downstream depending on stability, surface roughness and terrain, neighbouring wind farms need to be taken into account for regional planning of wind energy. Their environmental impact is mostly confined to areas close to the farm. The review suggests future work should include benchmark-type validation studies with long-term measurements, further developments of mesoscale model physics and WFPs, and more interactions between the mesoscale and microscale community.

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“…The solver of WRF has the ability to resolve the flow around the wind turbine in a realistic, time-varying atmospheric environment. For this reason the wind field solution produced by WRF is widely used in SOWFA as an initial condition (Churchfield et al 2013, Maché, M. et al 2014. A WRF based large eddy simulation (LES) model with control strategies was developed to consider the local atmospheric condition above complex terrains in (Wang et al 2020).…”

Section: Introductionmentioning

confidence: 99%

A control-oriented wind turbine dynamic simulation framework which resolves local atmospheric conditions

Feng¹,

Wingerden²,

Y.³

2022

Trends in Renewable Energies Offshore

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Wind turbines may experience local weather perturbation, which is not taken into account by the commonly-used wind turbine simulation packages. Without this information, it is extremely challenging to evaluate the controller performance with regard to the effect of the variation of local atmospheric conditions. On the other side, it is too late and costly to wait until field test time. To fill this gap, in this paper, we develop a control-oriented turbine dynamic simulation framework to evaluate the controller performance considering the perturbation of local atmospheric conditions. This goal is achieved by integrating an internal wind turbine (IWT) model in the Weather Research and Forecasting (WRF) simulation tool. The proposed framework is implemented on a 5MW reference wind turbine, where the effects of the local atmospheric conditions are illustrated. The controller performance results are compared with those derived from the Fatigue, Aerodynamics, Structures,and Turbulence (FAST) simulator as a validation. Simulation results show that the proposed WRF-IWT model is able to capture the turbine dynamics and controller performance regarding the perturbation of the complex local atmospheric conditions. The proposed framework can be leveraged to assist in designing controllers, which is more applicable to real-world wind conditions.

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From meso-scale to micro scale LES modelling: Application by a wake effect study for an offshore wind farm

Cited by 6 publications

References 7 publications

A Comparison of the NREL 5-MW Wake Characteristics Using Both SOWFA and OVERFLOW2

A Comparison of the NREL 5-MW Wake Characteristics Using Both SOWFA and OVERFLOW2

Review of Mesoscale Wind-Farm Parametrizations and Their Applications

A control-oriented wind turbine dynamic simulation framework which resolves local atmospheric conditions

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