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Experimental and numerical study of biomass fast pyrolysis oil spray combustion: Advanced laser diagnostics and emission spectrometry

机译:生物质快速热解油喷雾燃烧的实验和数值研究:先进的激光诊断和发射光谱

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The objective of this work was to move towards developing a comprehensible Computational Fluid Dynamics (CFD) model to facilitate the predictive modeling of Fast Pyrolysis Oil (FPO) spray combustion. A CFD model was implemented from the literature and results were compared to 2D data from non-intrusive optical diagnostics involving Planar Laser Induced Fluorescence of the OH radical, Mie scattering imaging and two-color pyrometry using a laboratory-scale, CH4/air flat-flame with an air-assist atomizer. Furthermore, flame radiation and contributions from graybody sources, chemiluminescence and soot were studied experimentally using emission spectroscopy and Laser Induced Incandescence (LII). Reasonable qualitative agreement was found between experimental and model results in terms of flame structure and temperature. Emission spectroscopy and LII results revealed and confirmed earlier observations regarding the low soot concentration of FPO spray flames; furthermore, it was shown that a significant portion of flame radiation originated from graybody char radiation and chemiluminescence from the Na-content of the FPO. These suggest that the treatment of soot formation might not be important in future computational models; however, the description of char formation and Na chemiluminescence will be important for accurately predicting temperature and radiation profiles, important from the point of e.g., large-scale power applications. Confirmed low soot concentrations are promising from an environmental point of view.
机译:这项工作的目的是朝着发展一种可理解的计算流体动力学(CFD)模型,以促进快速热解油(FPO)喷雾燃烧的预测模型。从文献中实施了CFD模型,并将结果与​​非侵入式光学诊断的2D数据进行了比较,这些诊断涉及平面激光诱导的OH自由基荧光,Mie散射成像和使用实验室规模的CH4 /空气平整仪的双色高温计用空气辅助雾化器喷射火焰。此外,使用发射光谱和激光诱导白炽灯(LII),通过实验研究了火焰辐射以及灰体来源,化学发光和烟灰的贡献。实验结果和模型结果之间在火焰结构和温度方面存在合理的定性一致性。发射光谱和LII结果揭示并证实了有关FPO喷雾火焰中烟so浓度低的早期观察结果;此外,已经表明,火焰辐射的很大一部分来自灰体炭辐射,而化学发光来自FPO的Na含量。这些表明烟尘形成的处理在未来的计算模型中可能并不重要。然而,从例如大规模电力应用的观点来看,炭的形成和Na化学发光的描述对于准确地预测温度和辐射曲线将是重要的。从环境的角度来看,确定的低烟尘浓度是有希望的。

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