燃煤机组电除尘器入口烟道流场优化数值模拟研究

Numerical simulation study on flow field optimization of electrostatic precipitator inlet flue duct in coal-fired units

  • 摘要: 燃煤机组环保设施连接烟道阻力增加是风机能耗增大的主要因素之一,对烟道进行流场优化,降低烟道阻力和风机能耗是燃煤电厂节能降耗的有效途径之一。采用CFD数值模拟对某电厂660 MW燃煤机组电除尘器入口烟道进行流场优化,重点分析了5种不同优化方案下烟道阻力、风机能耗、灰质量流量分配比例、烟气灰浓度、导流板磨损速率等参数的变化规律。结果表明:通过设置合理结构形式及数量的导流板实现烟道降阻幅度28.7%,单台机组最大可节约风机能耗190 kW·h,节能降耗效果显著。新增导流板对烟气中灰质量流量分配比例具有调节作用,优化后A、B两侧烟道内灰质量流量比例偏差由14.8%降低至6.6%,提高了电除尘器的综合除尘率。烟道流场优化在改善灰浓度场分布的同时降低了导流板的磨损,优化后导流板的平均磨损速率由1.33×10−7 kg/(m2·s)降低至0.56×10−7 kg/(m2·s),降幅高达57.6%,导流板使用寿命是优化前的2.4倍,提高了机组运行的安全性和可靠性。

     

    Abstract: Resistance increase of connecting flue ducts between environmental protection facilities is one of the main factors influencing fan energy consumption increase in coal-fired units. Accordingly, it is an effective method of saving energy and reducing consumption to optimize the flow field of flue ducts and to reduce resistance and fan energy consumption in coal-fired power plants. CFD numerical simulation was applied to optimize the inlet flue duct of the electrostatic precipitator in a 660 MW coal-fired unit. The varying rules of flue duct resistance, fan energy consumption, ash mass flow distribution, ash concentration and guiding plates wearing rate were studied with a comparative analysis of five different schemes. The results showed that the flue duct resistance was reduced by 28.7% through setting reasonable structural form and quantity of guiding plates. A maximum fan energy consumption of 190 kW·h could be saved for a single unit, and the energy saving and consumption reduction were remarkable. The addition of guiding plates could regulate the distribution ratio of ash mass flow in the flue gas. After optimization, the deviation of ash mass flow distribution ratio reduced from 14.8% to 6.6% on sides A and B, which improved the comprehensive removal efficiency of dust particles by electrostatic precipitator. The optimization of the flue flow field not only improved the uniformity of ash concentration field distribution, but also reduced the wearing rate of guiding plates. After optimization, the average wearing rate of guiding plates decreased from 1.33×10−7 to 0.56×10−7 kg/(m2·s), with a decrease of 57.6%. The service life of guiding plates was 2.4 times that before optimization, and the safety and reliability of the unit operation improved.

     

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