高级检索

    深度调峰下NaHCO3干法喷射颗粒分布特性及参数影响

    Particle Distribution Characteristics and Parametric Effects of NaHCO3 Dry Injection under Deep Peak-Regulation Conditions

    • 摘要: 针对660 MW燃煤机组深度调峰工况下NaHCO3干法喷射系统颗粒分布不均问题,建立省煤器出口至SCR首层催化剂入口前烟道的三维气固两相模型,采用Realizable k-ε湍流模型和离散相模型研究喷射速度、颗粒中位粒径及喷枪排布对颗粒输运的影响,并以出口特征截面的颗粒覆盖率和无量纲分布标准差进行评价。结果表明,35%和100%负荷下模拟压降与现场数据的相对误差分别为4.11%和7.95%。喷射速度由5 m·s-1增至40 m·s-1时,颗粒覆盖率仅在24.74%~25.69%范围内变化;当颗粒中位粒径为1~10 μm时,覆盖率超过37%,而100 μm颗粒的覆盖率降至21.47%;中心加密排布可将覆盖率由25.54%提高至33.04%,同时将无量纲分布标准差由2.803降至1.999。研究表明,深度调峰工况下,颗粒粒径控制和喷枪排布优化对改善颗粒分布较为重要,单纯提高喷射速度的作用有限。

       

      Abstract: A three-dimensional gas–solid two-phase model was developed for a 660MW coal-fired unit equipped with a NaHCO3 dry injection system under deep peak-regulation conditions. The Realizable k-ε turbulence model and discrete phase model were employed to investigate the effects of injection velocity, median particle size, and lance arrangement on particle transport. Particle coverage ratio and dimensionless distribution standard deviation at the outlet characteristic section were used as evaluation indices. The relative errors between the simulated and measured pressure drops were 4.11% and 7.95% at 35% and 100% loads, respectively. Increasing the injection velocity from 5 to 40 m·s-1 produced only minor changes in particle coverage. Particle sizes of 1–10 μm resulted in coverage ratios above 37%, whereas the coverage ratio decreased to 21.47% at 100 μm. The center-dense lance arrangement increased the coverage ratio from 25.54% to 33.04% and reduced the dimensionless distribution standard deviation from 2.803 to 1.999. Therefore, particle-size control and lance-arrangement optimization are more effective than simply increasing the injection velocity.

       

    /

    返回文章
    返回