Adaptive finite element simulation of stack pollutant emissions over complex terrains

Oliver, Albert; Montero, G.; Montenegro, R.; Rodríguez, Eduardo; Escobar, J. M.; Foguet, Agustí Pérez

doi:10.1016/j.energy.2012.10.051

Cited by 18 publications

(19 citation statements)

References 54 publications

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“…The generated tetrahedral mesh is appropriated for finite element simulations of environmental processes, such as weather forecasting, wind field (see Chapter ?? ), fire propagation or atmospheric pollution [20,21].…”

Section: Meccano Methods For the Construction Of 3d Meshes Over Complementioning

confidence: 99%

Discretization of the Region of Interest

Cascón

Escobar

Montenegro

2018

Wind Field and Solar Radiation Characterization and Forecasting

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The meccano method was recently introduced to construct simultaneously tetrahedral meshes and volumetric parameterizations of solids. The method requires the information of the solid geometry that is defined by its surface, a meccano, i.e. an outline of the solid defined by connected polyhedral pieces, and a tolerance that fixes the desired approximation of the solid surface. The method builds an adaptive tetrahedral mesh of the solid (physical domain) as a deformation of an appropriate tetrahedral mesh of the meccano (parametric domain). The main stages of the procedure involve an admissible mapping between the meccano and the solid boundaries, the nested Kossaczký's refinement and our simultaneous untangling and smoothing algorithm. In this chapter, we focus the application of the method to build tetrahedral meshes over complex terrain, that are interesting for simulation of environmental processes. A digital elevation map of the terrain, the height of the domain, and the required orography approximation are given as input data. In addition, the geometry of buildings or stacks can be considered. In these applications we have considered a simple cuboid as meccano.

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Section: Meccano Methods For the Construction Of 3d Meshes Over Complementioning

confidence: 99%

Discretization of the Region of Interest

Cascón

Escobar

Montenegro

2018

Wind Field and Solar Radiation Characterization and Forecasting

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“…The RIVAD/ARM3 scheme is a simplified model that predicts the sulfate and nitrate production rates assuming a steady state concentration of the hydroxil radical. This model considers four species and production rates, which are defined as :

r_{{SO}_{2}} = - r_{{SO}_{4}^{2 -}} = α_{1} (u) u_{{SO}_{2}} = \frac{- γ_{1}}{u_{{SO}_{2}} + δ_{1} u_{{NO}_{x}}} u_{{SO}_{2}}

r_{{NO}_{x}} = - r_{{NO}_{3}} = α_{2} (u) u_{{NO}_{x}} = \frac{- γ_{2}}{δ_{2} u_{{SO}_{2}} + u_{{NO}_{x}}} u_{{NO}_{x}}

where δ 1 , δ 2 , γ 1 , and γ 2 are the four constants. The initial and the inflow boundary conditions are zero for all species, and the emission rate of the first primary pollutant is bigger than the second.…”

Section: Test Examplesmentioning

confidence: 99%

“…The RIVAD/ARM3 scheme [34] is a simplified model that predicts the sulfate and nitrate production rates assuming a steady state concentration of the hydroxil radical. This model considers four species and production rates, which are defined as [16,35]:…”

Section: Rivad/arm3 Testsmentioning

confidence: 99%

A multimesh adaptive scheme for air quality modeling with the finite element method

Monforte

Foguet

2013

Numerical Methods in Fluids

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Abstract. A multi-mesh adaptive scheme for convection-diffusion-reaction problems is presented. The proposal is applied to air quality modeling, especifically to the simulation of a pollutant punctual emissions. The performance of the proposal is analyzed with different nonlinear reaction models, including the photochemical model CB05 implmented within the Comunity Multiscale Air Quality model, which involves sixty-two species and very different characteristic reaction times. The problem is solved with splitting of transport and reaction processes. This allows to discretize the species in distinct computational meshes, adapted to the distribution of the error indicator of each case. A common reference mesh is used for all species and during all problem evolution. A remeshing technique based on imposing the volume of new elements is used to define and update the computational meshes. An error indicator well suited for problems involving large variation of the unknowns is used. A single-mesh strategy, with remeshing adapted to the most demanding specie in each part of the domain, is used for comparison. The results of the examples presented show that the accuracy of single and multi-mesh strategies are similar. Instead, computational cost of multi-mesh is lower than single-mesh in most cases. Reduction increases with the number of species and the number of plumes. An example of a punctual emissor in a three-dimensional domain, with realistic values of CB05 components, is presented.

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“…The first strategy is an Eulerian coupled modelling system using the meteorological model WRF-ARW (Skamarock 2008), an emission model developed by Meteosim AEMM (Arasa 2013(Arasa , 2014(Arasa , 2016 and CMAQ. The other strategy is an adaptive, Eulerian, non-steady finite element model that uses the photochemical model of CMAQ (Oliver 2013).…”

Section: Introductionmentioning

confidence: 99%

Simulating large emitters using CMAQ and a local scale finite element model. Analysis of the surroundings of Barcelona

Oliver

Arasa²,

Foguet

et al. 2017

IJEP

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In this work, we compare two state of the art models to simulate large emitters in the local scale. The area of study is in the surroundings of Barcelona, where an important contributor to the SO2 levels is considered. The first modelling system uses the mesoscale meteorological model WRF-ARW, the Air Emission Model of Meteosim, AEMM, and the air quality model CMAQ. The second model is a one way nesting of the results from the first system in a subgrid Finite Element model; the results from the CMAQ simulation are used as initial and boundary conditions. The simulations have been carried out for one episode with high levels of SO2. The time period of the simulations is of 48h with a 24h spin-up.

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Adaptive finite element simulation of stack pollutant emissions over complex terrains

Cited by 18 publications

References 54 publications

Discretization of the Region of Interest

Discretization of the Region of Interest

A multimesh adaptive scheme for air quality modeling with the finite element method

Simulating large emitters using CMAQ and a local scale finite element model. Analysis of the surroundings of Barcelona

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