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Development of reduced and optimized reaction mechanism for potassium emissions during pulverized-biomass combustion based on genetic algorithms

Abstract : A reduced mechanism for potassium chemistry under combustion conditions is derived from a detailed chemical mechanism for alkali metal emissions (Glarborg and Marshall, 2005), which could be useful for three-dimensional (3D) numerical simulations of potassium emissions by biomass combustion furnaces. An automated chemistry reduction and optimization approach relying on canonical micro-mixing problem is applied to develop the reduced mechanism, whose performance is then evaluated in two-dimensional (2D) carrier-phase direct numerical simulation (DNS) of pulverized-biomass combustion. Good agreements are achieved between predictions of the reduced and the detailed mechanisms on the four major potassium species, i.e., K, KOH, KCl and K 2 SO 4. The prediction capabilities of the reduced mechanism for various K/Cl/S ratios in the volatiles are further investigated by a parametric study with 14 two-dimensional DNS cases. The potassium chemistry under those various conditions are predicted well by the reduced potassium mechanism with a CPU cost reduction reaching up to 71.3% compared to the detailed reference mechanism.
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https://hal-normandie-univ.archives-ouvertes.fr/hal-03041419
Contributor : Pascale Domingo <>
Submitted on : Friday, December 4, 2020 - 10:00:43 PM
Last modification on : Thursday, December 10, 2020 - 3:26:59 AM

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Kaidi Wan, Luc Vervisch, Chongwen Jiang, Pascale Domingo, Zhenxun Gao, et al.. Development of reduced and optimized reaction mechanism for potassium emissions during pulverized-biomass combustion based on genetic algorithms. Energy, Elsevier, 2020, 211, pp.118565. ⟨10.1016/j.energy.2020.118565⟩. ⟨hal-03041419⟩

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