Fluent Ansys- Advanced Combustion Systems 1 Intro

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Fluent User Services Center www.fluentusers.com

Fluent Software Training Combustion Apr 2005

Advanced Combustion Modeling in FLUENT

1 / 26

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Course Agenda 8:00- 8:30 8:30-10:00 10:00-11:00 11:00-12:00 12:00-1:00 1:00-1:45 1:45-2:30

2:30-3:00

3:00-5:00

Introduction to Combustion Modeling Combustion Models I Hands-on Exercise Session I Combustion Models II Lunch Additional Physical Models – Discrete Phase Modeling and Spray Models Additional Physical Models – Radiation Modeling – Pollutant Modeling Combustion Modeling – Case Studies – Strategies Hands-on Exercise Session II 2 / 26

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Introduction to Combustion Modeling ‹

Applications of Combustion Modeling

‹

Overview of Capabilities in FLUENT 6

‹

Meshes for Combustion Simulations

‹

Kinetics and Turbulence-Chemistry Interaction

‹

Scaling Analysis

3 / 26

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Applications of Combustion Modeling ‹

Wide range of homogeneous and heterogeneous reacting flows: z z z z z

‹

Furnaces Boilers Process heaters Gas turbines Rocket engines

Temperature in a Gas Furnace

Predictions of: z

z z z

CO2 Mass Fraction

Flow field and mixing characteristics Temperature field Species concentrations Particulates and pollutants

Stream Function 4 / 26

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Overview of Combustion Modeling ‹

‹

FLUENT 6 provides an extensive array of physical models for combustion simulations. Zone-based definition of volumetric and surface reaction mechanisms z z

Reactions can be turned off/on in different fluid zones Allow different reaction mechanisms in different zones

FLUENT 6 provides maximum mesh flexibility, and GAMBIT 2 makes it easy to generate hybrid meshes. ‹

‹

Additional distinctive capabilities include: z z z z z z

Materials database Robust and accurate solver Solution-adaptive mesh refinement (conformal and hanging-node) Industry-leading parallel performance User-friendly GUI, post-processing and reporting Highly customizable through user defined functions

5 / 26

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Aspects of Reaction Modeling Reaction Models Dispersed Phase Models Droplet/particle dynamics Heterogeneous reaction Devolatilization Evaporation

Infinitely Fast Chemistry Finite Rate Chemistry

Combustion

Governing Transport Equations Mass Momentum (turbulence) Energy Chemical Species

Premixed, Partially premixed and Non-premixed

Surface Reactions

Radiative Heat Transfer Models

Pollutant Models

6 / 26

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Reaction Models in Fluent Flow config.

Premixed Combustion

Non-Premixed Combustion

Partially Premixed Combustion

Premixed Combustion Model (Reaction Progress Variable)*

Non-Premixed Equilibrium Model (Mixture Fraction)

Partially Premixed Model

Chemistry

Infinitely Fast Chemistry

(Reaction Progress Variable + Mixture Fraction)

Eddy Dissipation Model Non-Premixed Laminar Flamelet Model

Finite-Rate Chemistry

Laminar Finite-Rate Model Eddy-Dissipation Concept (EDC) Model Composition PDF transport Model * Rate classification not truly applicable since species mass fraction is not determined. 7 / 26

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Other Models in FLUENT 6 ‹ ‹

Surface Combustion Discrete phase model z

Turbulent particle dispersion „ „

z

‹ ‹

‹

Stochastic tracking Particle cloud model

Pulverized coal and spray models

Radiation models: DTRM, P-1, Rosseland, S2S and Discrete Ordinates Turbulence models: k-ε, RNG k-ε, Realizable k-ε, κ−ω, RSM and LES and DES Pollutant models: NOx with reburn chemistry and soot

8 / 26

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Meshes for Combustion Simulations ‹

For convergence and accuracy, a quality mesh is critical ... z z z z z

‹

Low skew (<0.9 everywhere) Moderate aspect ratios (<10) Sufficient but not excessive resolution Gradual cell volume changes (<30%) Orthogonality at boundaries

In FLUENT 6, unstructured mesh technology allows ... z z z

Complex geometries GAMBIT provides rapid and powerful unstructured mesh generation Local resolution of flow features „ „ „

Hybrid mesh (hexes, tets, prisms, pyramids) Hanging node adaption Non-conformal interfaces

9 / 26

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Complicated Geometry-Tetrahedral Mesh ‹

‹

‹

‹

Burner has several complicated parts Flow is not aligned in any particular direction High gradients at sonic inlets Use a tetrahedral mesh

10 / 26

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Complicated Geometry-Tetrahedral Mesh ‹

Tetrahedral mesh allows for a fine mesh on the small inlet holes with larger cells in the furnace domain.

11 / 26

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Hybrid Mesh - Boiler ‹

‹

‹

Conical section at bottom favors a tetrahedral mesh Heat exchanger plates at top are suited for a hex mesh Prisms can be extruded off the triangular surface at the corner inlet planes to model the windbox - get better jet penetration

hexes pyramids tets

12 / 26

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Semi-Automatic Hex/Hybrid Meshing

Typical Burner

Nuclear Reactor Head 13 / 26

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FLUENT 6: Arbitrary Mesh Interfaces ‹

Mesh flexibility, parts-based meshing and model building

14 / 26

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Mesh Adaption ‹

Dynamic hanging node adaption to resolve temperature gradients more accurately.

300 kW BERL Combustor

15 / 26

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Gas Phase Combustion ‹

‹

Spatio-temporal conservation equations (Navier-Stokes) for z Mass (ρ) z Momentum (ρυ) z Energy (ρh) z Chemical Species (ρYk) The conservation equations have the general form …   ∂ (φ) + ∂ (φ ui ) = ∂  Dφ ∂φ  + Sφ ∂xi ∂xi  ∂xi  ∂t rate of change

‹

convection

diffusion

source

It is useful to quantify energy in terms of enthalpy, defined as ….

h=



species

T

Yk ( h + ∫ cpk dT) o k

chemical 16 / 26

To

thermal © Fluent Inc. 6/23/2005

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Chemical Kinetics ‹

The k th species mass fraction transport equation is: ∂ (ρ Yk ) + ∂t

‹

∂ (ρ u i Yk ) = ∂x i

 ∂ Yk   ρ D k  ∂x i  

∂ ∂x i

+

Rk

Nomenclature: chemical species, denoted Sk , react as: N

∑ ν' k =1

Example:

k

Sk →

N

∑ ν" k =1

k

Sk

CH 4 + 2O 2 → CO 2 + 2H 2 O

S1 = CH 4

S2 = O 2

S3 = CO 2

S4 = H 2 O

ν'1 = 1 ν"1 = 0

ν '2 = 2 ν"2 = 0

ν'3 = 0 ν"3 = 1

ν '4 = 0 ν"4 = 2

17 / 26

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Chemical Kinetics ‹

‹

The calculated reaction rate is proportional to the products of the reactant concentrations raised to the power of their respective stoichiometric coefficients. k th species reaction rate (for a single reaction): E −   N ν '*k β RT  ∏ Cj R k = M k ( ν " k − ν ' k )  AT e    j =1 where

‹

A = pre-exponential factor Cj = molar concentration = ρ Yj / Mj Mk = molecular weight of species k E = activation energy R = universal gas constant = 8313 J / kgmol K β = temperature exponent

Note that for global reactions, ν ' k* ≠ ν ' k , and may be noninteger 18 / 26

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Practical Combustion Processes are Turbulent Flames Gas turbine combustor Fire

‹

‹

Length scale (m) 0.1

Velocity Reynolds scale (m/s) number 50 250,000

5

2

500,000

After-burner

0.5

100

2,500,000

Utility Furnace

10

10

5,000,000

Smallest length scale in turbulent flow (called the Kolmogorov scale) η ∼ L / Re3/4, where L is the combustor characteristic dimension Number of grid points required for Direct Numerical Simulation (DNS) 3 9/4 (resolving all flow scales) ~ (L/ η) = Re

‹

Example: Re ~ 10 4, number of grid points ~ 10 9

‹

DNS is computationally intractable, and will remain so indefinitely 19 / 26

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Necessity for Combustion Modeling ‹

‹

Governing reacting Navier-Stokes equations are accurate, but DNS is prohibitive ... Turbulence z z

Large range of time and length scales Model by time (Reynolds) averaging „

„

‹

Imagine a long exposure photograph of the visualized flow Introduces terms (the Reynolds stresses) which must be modeled

Chemistry z

Realistic chemical mechanisms have tens of species, hundreds of reactions, and stiff kinetics (widely disparate time scales) „

Determined for a limited number of fuels

20 / 26

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Reynolds (Time) Averaged Species Equation

(

 ∂ ∂ (ρ u i Yk ) + ∂ ρ u "i Y "k  (ρ Yk ) +  ∂x i  ∂x i  ∂t {unsteady term} (zero for steady flows) ‹

convection by mean velocity

)

=

convection by turbulent velocity fluctuations

∂ ∂x i

 ∂ Yk   ρ D k  + R k ∂x i  

molecular diffusion

mean chemical source term

Yk , Dk , Rk are the k th species mass fraction, diffusion coefficient and

chemical source term respectively ‹

‹

Turbulent flux term modeled by mean gradient diffusion as, ρ u" i Y" k = µ t /Sc t ⋅ ∂ Yk /∂ xi , which is consistent in the k-ε context Gas phase combustion modeling focuses on Rk z

Arguably more difficult to model than the Reynolds stresses (turbulence) 21 / 26

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Turbulence Chemistry Coupling in Flames ‹

Arrhenius reaction rate terms are highly nonlinear

Rk = AT β ∏ C j j exp (− E RT ) ν

j

‹

Cannot neglect the effects of turbulence fluctuations on chemical production rates

Rk ≠ Rk ( T )

22 / 26

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Turbulence-Chemistry Interaction Demonstration: single step methane reaction (A=2*1011, E=2*108) CH 4 + 2O 2 → CO 2 + 2H 2 O R CH 4 =

1

2

R O 2 = − R CO 2 = − 1 2 R H 2O = − A exp( − E / RT ) [CH 4 ]0.2 [O 2 ]0.3

Assume turbulent fluid at a point has constant species concentration at all times, but spends one third its time at T=300K, T=1000K and T=1700K 1700 1000 300

T P(T)

time trace

PDF

t

T [K] R [kgm-3s-1]

300 10-25

1000 1

300 1000 1700

1700 105

23 / 26

T

R (T ) = 1 kg ⋅ m −3 s −1 R = 3 ⋅10 4 kg ⋅ m −3 s −1

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Modeling Chemical Kinetics in Combustion Practical Approaches: ‹ Reduced chemical mechanisms z

‹

Finite rate/Eddy Dissipation model

Decouple chemistry from turbulent flow and mixing z

z

z

Mixture fraction approaches „ Equilibrium chemistry PDF model „ Laminar flamelet model Progress variable „ Zimont model Mixture fraction and progress variable „ Partially premixed combustion model

24 / 26

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Scaling Analysis ‹

Reynolds number  ρUL  inertial force  ~ Re =   µ  viscous force

ρ, U, L, µ are characteristic (e.g. inlet) density, velocity, length and dynamic viscosity, respectively Turbulence models valid at high Re ‹

Damkohler Number Da =

L/U k/ε mixing time scale ~ ~ ρ ad / R slow ρ ad / R slow chemical time scale

ρ ad adiabatic flame density Rslow slowest reaction rate at Tad and stoichiometric concentrations

Gas phase turbulent combustion models valid at high Da 25 / 26

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Scaling Analysis ‹

Mach number Ma =

U convection speed ~ c acoustic speed

Mixture fraction model valid at Ma < 0.3 (incompressible) ‹

Boltzman number Bo =

(ρUc p T ) inlet σTad4

~

convection heat flux radiation heat flux

σ Stefan-Boltzman constant (5.672 10-8 W/m2K4) (assumes convection overwhelms conduction) Radiation important at Bo < 10 26 / 26

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