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Research Papers: Combustion and Reactive Flows

Computational Fluid Dynamics Modeling of a Self-Recuperative Burner and Development of a Simplified Equivalent Radiative Model

[+] Author and Article Information
Haytham Sayah

e-mail: haytham.sayah@mines-paristech.fr

Maroun Nemer

Mines ParisTech, CEP,
CNRS FRE 2861,
60 Boulevard Saint-Michel,
F-75272 Paris, CEDEX 06, France

Wassim Nehmé

EDF R&D, EPI- Eco-Efficacité et
Procédés Industriels,
Avenue des Renardières-Ecuelles,
77818 Moret sur Loing, France

Denis Clodic

Mines ParisTech, CEP,
CNRS FRE 2861,
60 Boulevard Saint-Michel,
F-75272 Paris, CEDEX 06, France

1Corresponding author.

Contributed by the Heat Transfer Division of ASME for publication in the JOURNAL OF HEAT TRANSFER. Manuscript received January 13, 2010; final manuscript received January 18, 2011; published online October 5, 2012. Assoc. Editor: He-Ping Tan.

J. Heat Transfer 134(12), 121201 (Oct 05, 2012) (15 pages) doi:10.1115/1.4003756 History: Received January 13, 2010; Revised January 18, 2011

The solution for dynamic modeling of reheating furnaces requires a burner model, which is simultaneously accurate and fast. Based on the fact that radiative heat transfer is the most dominant heat transfer mode in high-temperature processes, the present study develops a simplified flame representation model that can be used for dynamic simulation of heat transfer in reheating furnaces. The first part of the paper investigates, experimentally and computationally, gas combustion in an industrial burner. Experiments aim at establishing an experimental database of the burner characteristics. This database is compared with numerical simulations in order to establish a numerical model for the burner. The numerical burner model was solved using a commercial computational fluid dynamics (CFD) software (FLUENT 6.3.26). A selection of results is presented, highlighting the usefulness of CFD as a modeling tool for industrial scale burners. In the second part of the paper, a new approach called the “emissive volume approach” is established. This approach consists of replacing the burner flame by a number of emissive volumes that replicates the radiative effect of the flame. Comparisons with CFD results show a difference smaller than 1% is achieved with the emissive volume approach, while computational time is divided by 40.

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Figures

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Fig. 1

Configurations of the furnace. Showing the cooling pipes and the burner positions.

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Fig. 3

The furnace measurement holes used to measure temperature and species concentrations

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Fig. 4

(a) Temperature comparison, (b) CO2 comparison, (c) O2 comparison, and (d) CO comparison

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Fig. 5

(a) CO2 comparison, (b) temperature comparison, (c) CO comparison, and (d) O2 comparison

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Fig. 6

(a) Temperature comparison, (b) O2 comparison, (c) CO2 comparison, and (d) CO comparison

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Fig. 7

(a) Temperature comparison, (b) O2 comparison, (c) CO2 comparison, and (d) CO comparison

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Fig. 8

System representation in the finite volume method

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Fig. 9

(a) Total heat flux distribution (kW/m²) y = 0 at the burners level, case 1 and (b) convection flux distribution (kW/m²) y = 0 at the burner s’ level, case 1

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Fig. 10

Emissive volumes in MODRAY interface

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Fig. 11

(a) Absorbed radiation flux using the emissive volume approach (W/m²), (b) absorbed radiation flux using the CFD code (W/m²), and (c) absorbed radiation flux comparison (W/m²)

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