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Dynamic simulation of a biomass domestic boiler under thermally thick considerations

机译:热厚考虑下生物质家用锅炉的动态模拟

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A biomass combustion model with a thermally thick approach is presented and applied to the simulation of a commercial biomass domestic boiler. A subgrid scale model is used to divide the particles into several grid points, each representing one of the different combustion stages. These grid points determine the variables of the solid phase located in the packed bed calculated as a porous zone with a volume averaged approach. The combustion model is coupled with a fuel-feeding model based on Lagrangian trajectories of particles. Those are transformed into solid phase variables as soon as they reach the packed bed, allowing the numerical model to simulate the transient behavior of such a system. This methodology is here applied to a 27-kW boiler operating in stable conditions with two feeding systems: one in which the particle feeding rate is kept constant in time and another in which the feeding rate varies randomly through time. The behavior of such a boiler is better understood thanks to the completeness of the model here presented, whose results are also compared to experimental measurements. The CFD model gives reasonably good predictions of the heat transferred, the flue gas temperature, the excess air coefficient and CO2 emissions, as well as the fluctuations of the boiler when the feeding rate is not constant. However, the model underestimates unburnt species like CO, probably due to the oversimplified gas reaction mechanisms employed in the simulation. (C) 2017 Elsevier Ltd. All rights reserved.
机译:提出了一种采用热厚法的生物质燃烧模型,并将其应用于商业化生物质家用锅炉的仿真。使用亚网格比例模型将颗粒划分为几个网格点,每个网格点代表一个不同的燃烧阶段。这些网格点确定使用体积平均法计算为多孔区的填充床中固相的变量。燃烧模型与基于粒子的拉格朗日轨迹的燃料进给模型耦合。它们一到达填充床就被转换成固相变量,从而使数值模型可以模拟这种系统的瞬态行为。此方法在此处适用于在稳定条件下运行的27 kW锅炉,具有两个进料系统:一个系统的颗粒进料速度保持时间恒定,另一种系统的进料速度随时间随机变化。由于这里介绍的模型的完整性,可以更好地理解这种锅炉的行为,该模型的结果也与实验测量值进行了比较。 CFD模型可以很好地预测传热,烟气温度,过量空气系数和CO2排放,以及当进料速度不恒定时锅炉的波动。但是,该模型低估了CO等未燃烧物质,这可能是由于模拟中采用的气体反应机理过于简单。 (C)2017 Elsevier Ltd.保留所有权利。

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