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NITRIC OXIDE EMISSION MODELING IN A BUBBLING FLUIDIZED BED FURNACE FOR BIOMASS

机译：鼓泡流化床生物质中一氧化氮的排放模型

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A bubbling fluidized bed furnace for the combustion of biomass sludge has been modeled. The nitric oxide (NO) emission of the furnace is controlled by applying the selective noncatalytic reduction technique (SNCR). The aim of the work is to find a model that is able to reasonably predict the fuel-based NO emission trends in the conditions of fluidized bed biomass combustion. Four different simplified chemistry mechanisms for fuel-based NO formation have been briefly reviewed, and their performance has been studied by comparing the predicted emission in two different cases, i.e., with and without the ammonia injections. According to modeling, the NO emission in the flue gas is reduced from 88 ppm_(mass) to 64 ppm_(mass) by SNCR, which is in agreement with the previous experiences of the furnace manufacturer with similar furnaces. However, it is also shown how the modeling results differ remarkably from each other, depending on the nitrogen chemistry mechanism used. Some models even predict a noticeable increase in NO emission when the ammonia injection is applied, thus giving qualitatively wrong information. The combustion model is of importance in obtaining reasonable results, and the performance of the eddy dissipation combustion model has been discussed.
机译：已经对用于生物质污泥燃烧的鼓泡流化床炉进行了建模。通过应用选择性非催化还原技术（SNCR）来控制熔炉的一氧化氮（NO）排放。这项工作的目的是找到一个能够在流化床生物质燃烧条件下合理预测基于燃料的NO排放趋势的模型。简要回顾了四种不同的简化的基于燃料的NO形成的化学机理，并通过比较两种不同情况下（无论是否注入氨）的预测排放量研究了它们的性能。根据模型，通过SNCR，烟道气中的NO排放量从88 ppm_（质量）减少到64 ppm_（质量），这与类似炉子的熔炉制造商的先前经验相一致。但是，还显示了建模结果之间如何显着不同，具体取决于所使用的氮化学机理。某些模型甚至预测使用氨水进样时NO排放量会显着增加，从而给出定性错误的信息。燃烧模型对于获得合理的结果很重要，并且已经讨论了涡流燃烧模型的性能。

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