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OPTIMIZATION OF ADVANCED REBURNING VIA MODELING

机译:通过建模优化高级重新刻录

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The advanced reburning (AR) process is an integration of basic reburning and N-agent injection. The efficiency of AR depends on many factors, including the amount of the reburning fuel, the amount and location of N-agent injection, and spray characteristics. These parameters can be optimized via computer modeling. This paper describes a model that combines a detailed chemical mechanism with a simplified representation of mixing to describe the AR-Iean process, a combination of basic reburning and N-agent coinjection with overfire air (OFA). The model takes into account mixing and thermal characteristics of a 300 kW combustion facility, which was used for experimental studies in support of model development. Modeling suggested that the efficiency of AR-lean strongly depends on amounts of the reburning fuel and N-agent, flue gas temperature at the point of OFA/N-agent injection, and N-agent evaporation time. The model described the most important features of AR-lean. Application of the model for optimization of AR-lean performance in the test facility was demonstrated.
机译:高级重燃(AR)过程是基本重燃和N试剂注入的集成。 AR的效率取决于许多因素,包括再燃燃料的量,N试剂注入的量和位置以及喷雾特性。这些参数可以通过计算机建模进行优化。本文描述了一个模型,该模型将详细的化学机理与简化的混合表示相结合,以描述AR-Iean过程,即基本重燃和N试剂共喷射与过热空气(OFA)的组合。该模型考虑了300 kW燃烧设备的混合特性和热特性,该特性用于实验研究以支持模型开发。建模表明,贫AR的效率在很大程度上取决于再燃燃料和N试剂的量,在OFA / N试剂注入时的烟气温度以及N试剂蒸发时间。该模型描述了AR-lean最重要的功能。演示了该模型在测试设施中优化AR精益性能的应用。

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