氧煤燃烧过程中外灰沉积速率的气动影响

Gautham Krishnamoorthy
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引用次数: 4

摘要

与基本负荷运行相比,第二代全氧燃烧和负荷后运行伴随着燃烧器烟气流量的显著减少(60-70%)。了解这些新型操作场景中空气动力学对粉煤灰颗粒沉积特性的影响对于预测操作挑战至关重要。为了填补这一空白,一种新的计算流体动力学(CFD)方法与灰沉积模块相结合,用于模拟煤在AIR和O2/CO2 (70/30 vol%, OXY70)氧化剂成分中燃烧时的外灰沉积过程,并将预测结果与测量结果进行了比较。采用测量的粉煤灰粒径分布(PSD)作为输入,准确地表示沉积表面附近的颗粒斯托克斯数,捕获准则基于最近提出的基于颗粒粘度和动能(PKE)的公式。同时对颗粒粘度模型和粉煤灰PSD的预测敏感性进行了评价。空气中沉积速率的预测与测量结果非常吻合。各情景下沉积速率增强(OXY70/AIR)值在2.8 ~ 3.3之间,与实测值2.1 ~ 2.4基本一致。预测的捕获效率在所有情况下都接近100%。通过使用相应的粉煤灰成分信息而不是散装灰成分信息来重复计算,并且没有显着改变预测。因此,该研究支持了这样的假设,即在这些新的操作场景中,灰沉积速率可能由PKE主导。
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Aerodynamic influences on the outer ash deposition rates during oxy-coal combustion

Second generation oxy-combustion and load following operations are accompanied by a significant (60–70%) reduction in combustor flue gas flow rates when compared to baseload operation. Understanding the aerodynamic influences on the fly-ash particle deposition characteristics during these novel operational scenarios are critical towards anticipating operational challenges. To fill this void, a novel Computational Fluid Dynamic (CFD) methodology in conjunction with an ash deposition module was used to model the outer ash deposition process coal during combustion of coal in AIR and O2/CO2 (70/30 vol%, OXY70) oxidizer compositions and the predictions were compared with measurements. The measured fly-ash particle size distributions (PSD) were employed as inputs to represent the particle Stokes numbers near the deposition surface accurately and the capture criterion was based on a recently proposed particle viscosity and kinetic energy (PKE) based formulation. Prediction sensitivities to the particle viscosity model and fly-ash PSD were also assessed. Deposition rate predictions in AIR were in excellent agreement with the measurements. The deposition rate enhancement (OXY70/AIR) across all scenarios were in the range 2.8–3.3 which was in reasonable agreement with the measured values of 2.1–2.4. Predicted capture efficiencies were nearly 100% across all scenarios. The calculations were repeated by employing the corresponding fly-ash composition information rather than the bulk-ash compositions and did not alter the predictions significantly. The study therefore supports the hypothesis that ash deposition rates in these novel operational scenarios are likely to be dominated by PKE.

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