Abstract

Natural gas reburning is a NO x to N 2 conversion technology in which turbulent jets are used to mix reburning fuel into furnace gases. Modeling of the reburning process requires a description of the detailed chemical kinetics and the turbulent mixing between the reburn fuel (natural gas) and oxidizer (the furnace gases). The simple mixing models developed for the reburning application by Alzueta et al. [1], Cha et al. [2], and Han et al. [3] are able to incorporate the necessarily large chemistry sets with little computational overhead. These simple mixing approaches, e.g., the One-Reactor Model (1RM), yield good predictive capabilities over the parametric range in reburn zone stoichiometries [2]. This study investigates the role of finite-rate mixing on reburn performance over the parametric range in temperature. This is done through the application of the 1RM to the reburn pilot-scale data sets of Mereb and Wendt [4, 5]. Results show weaknesses in the simple mixing model at relatively low temperatures. Possible causes for this breakdown of the 1RM and similar simple mixing model approaches at low temperatures include uncertainties in the chemistry and/or the influence of the “homogeneity assumption” in the mixing model.

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