Adaptive strategies using standard and mixed finite elements for wind field adjustment

Winter, Gabriel; Montero, G.; Ferragut, L.; Montenegro, R.

doi:10.1016/0038-092x(94)00100-r

Cited by 25 publications

(11 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Zhong and Takle [108] investigated sealand breeze effects at complex topography by synoptic scale approaches. Finite element methods are used for description of wind patterns [109].…”

Section: Microareas Of Wind Prediction Can Be Done For 48 Hmentioning

confidence: 99%

Progress and recent trends in wind energy

Sahin

2004

Progress in Energy and Combustion Science

275

100

View full text Add to dashboard Cite

“…Zhong and Takle [108] investigated sealand breeze effects at complex topography by synoptic scale approaches. Finite element methods are used for description of wind patterns [109].…”

Section: Microareas Of Wind Prediction Can Be Done For 48 Hmentioning

confidence: 99%

Progress and recent trends in wind energy

Sahin

2004

Progress in Energy and Combustion Science

275

100

View full text Add to dashboard Cite

“…Pepper and Stephenson (1995) used an h-adaptive FEM for calculating the subsurface transport of contaminant. Winter et al (1995) investigated adaptive strategies for wind field adjustments using standard and mixed FEM. Pepper and Carrington (1999) used h-adaptive FEM to model environmental flows with species transport.…”

Section: Adaptive Methodologymentioning

confidence: 99%

An h-Adaptive Finite-Element Technique for Constructing 3D Wind Fields

Pepper

Wang

2009

Journal of Applied Meteorology and Climatology

View full text Add to dashboard Cite

An h-adaptive, mass-consistent finite-element model (FEM) has been developed for constructing 3D wind fields over irregular terrain utilizing sparse meteorological tower data. The element size in the computational domain is dynamically controlled by an a posteriori error estimator based on the L 2 norm. In the h-adaptive FEM algorithm, large element sizes are typically associated with smooth flow regions and small errors; small element sizes are attributed to fast-changing flow regions and large errors. The adaptive procedure employed in this model uses mesh refinement-unrefinement to satisfy error criteria. Results are presented for wind fields using sparse data obtained from two regions within Nevada: 1) the Nevada Test Site, located approximately 65 mi (1 mi ' 1.6 km) northwest of Las Vegas, and 2) the central region of Nevada, about 100 mi southeast of Reno.

show abstract

“…They built an horizontal interpolated wind field taking into account only the distance from the mesh nodes to the measurement stations and then they solved the two-dimensional elliptic problem arising from the discretization in a plane; see [37] for a 2-D adaptive finite element model with a mixed formulation. Nowadays, in problems defined over complex terrain, it is possible to use high quality adaptive 3-D meshes of the studied domains.…”

Section: Introductionmentioning

confidence: 99%

Comparison between 2.5-D and 3-D realistic models for wind field adjustment

Ferragut

Montenegro

Montero

et al. 2010

Journal of Wind Engineering and Industrial Aerodynamics

Self Cite

View full text Add to dashboard Cite

In previous works, many authors have widely used mass consistent models for wind field simulation by the finite element method. On one hand, we have developed a 3-D mass consistent model by using tetrahedral meshes which are simultaneously adapted to complex orography and to terrain roughness length. In addition, we have included a local refinement strategy around several measurement or control points, significant contours, as for example shorelines, or numerical solution singularities. On the other hand, we have developed a 2.5-D model for simulating the wind velocity in a 3-D domain in terms of the terrain elevation, the surface temperature and the meteorological wind, which is consider as an averaged wind on vertical boundaries. Using the meteorological wind as datum, the 2.5-D model provides a 3-D local wind modified by topography and thermal gradients on the surface by solving only a 2-D optimal control problem where the boundary condition is the control. In this case, the finite element discretization consists on a triangular mesh adapted to the terrain topography and roughness length. In both models, the wind field adjusts to several wind speed measurements at several points in the 3-D domain and eventually to an average wind flux on the boundary.In this paper we introduce several advances in the 2.5-D and 3-D wind models and we compare their results on a region located in the Province of Lugo (Spain) with realistic data that have been provided by the company Desarrollos Eólicos S.A. (DESA). In order to obtain the best adjustment of models results to the measurements, the main parameters governing the models are estimated by using genetic algorithms with a parallel implementation.

show abstract

Adaptive strategies using standard and mixed finite elements for wind field adjustment

Cited by 25 publications

References 7 publications

Progress and recent trends in wind energy

Progress and recent trends in wind energy

An h-Adaptive Finite-Element Technique for Constructing 3D Wind Fields

Comparison between 2.5-D and 3-D realistic models for wind field adjustment

Contact Info

Product

Resources

About