Application ofh-adaptation for environmental fluid flow and species transport

Pepper, Darrell W.; Carrington, David B.

doi:10.1002/(sici)1097-0363(19990915)31:1<275::aid-fld968>3.0.co;2-a

Cited by 14 publications

(4 citation statements)

References 10 publications

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“…Today, adaptive techniques have been adopted in many commercial CFD codes and used by many researchers over a wide range of applications [5][6][7][8][9]. However, application of such techniques to atmospheric models has been very limited [10,11], even though there has been numerous adaptive models developed over many years [4][5][6][7][8][9][10][11].…”

Section: Adaptive Methodologymentioning

confidence: 99%

Application of an h-adaptive finite element model for wind energy assessment in Nevada

Pepper

Wang

2007

Renewable Energy

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Section: Adaptive Methodologymentioning

confidence: 99%

Application of an h-adaptive finite element model for wind energy assessment in Nevada

Pepper

Wang

2007

Renewable Energy

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“…It has been demonstrated that hp-adaptive FEM is one of the best mesh-based schemes [14]. The application of h-adaptive FEM has seen limited use in literature for solving environmental transport problems [13] [15]. To the best of our knowledge, no one has reported the use of hp-adaptive FEM for solving atmospheric contaminant dispersion in the existing literature.…”

Section: Hp-adaptive Finite Element Methodologymentioning

confidence: 99%

A Hybrid Numerical Model for Simulating Atmospheric Dispersion

Wang

Pepper

2005

Energy Conversion and Resources

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A hybrid numerical model for simulating atmospheric contaminant dispersion is developed. The hybrid numerical scheme employs an hp-adaptive finite element method coupled with a Lagrangian particle transport technique to solve the governing equations for atmospheric flow and species transport. A random walk/stochastic approach is used to generate Lagrangian particles that define the contaminant dispersion traces. A coarse mesh using low order shape functions is initially generated. Both the mesh and shape function order are subsequently refined and enriched in those regions where high computational error exist. Compared with fine mesh and high order numerical solutions, the hybrid scheme produces highly accurate solutions with reduced computational cost. A general probability distribution is used in the particle transport module for the random component of motion due to turbulent diffusion. Results depicting contaminant transport and dispersion in the atmosphere are presented. The computational efficiency of the hybrid numerical model is also discussed.

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“…Many types of spatially adaptive approaches exist: (1) h methods, which refine the mesh while maintaining fixedorder approximations [46,84,74]; (2) p methods, which change the order of the approximation over elements while maintaining the same mesh pattern [92,5,22]; (3) r methods, which relocate a fixed number of grid points over the domain to minimize an error measure [24]; and (4) m methods, which switch spatial approximation methods in different regions to achieve improved performance [41,39]. Combinations of these methods are also common, such as rh methods [66,82], mh methods [39,20], and hp methods [44,80,85,9,53].…”

Section: Spatial Adaptionmentioning

confidence: 99%