【摘要】 为获得高原电站锅炉真实的炉内燃烧状况以实现对燃烧的优化控制，针对尾部烟道CO网格化精确测量问题，提出了烟道内自吸式CO网格取样测量系统的优化设计方法。利用现有脱硝系统的进出口烟道测点，获得烟道截面内的CO浓度分布，并通过计算流体力学软件进行数值模拟，反向迭代获得计算域入口的CO浓度分布边界条件。根据该边界条件，对网格化取样点数量、取样口尺寸以及CO测量仪器连接位置进行了优化设计。结果表明，当截面上平均分布的取样点数量大于等于12时，CO取样平均值与理论计算平均值误差可控制在5%以内；同时，通过调整个别取样口的直径大小，可实现网格取样系统整体流量的均匀性；通过本设计方法可以得到较为合理的CO测量仪器的连接布置方案。更多还原

【Abstract】 This paper proposes an optimized design method for the self-priming CO multi-grid sampling device which can reflect the CO concentration fluctuations due to the changes of combustion conditions,then realize the intelligent combustion control. The CO concentration distribution of simulation boundary conditions are calculated through computational fluid dynamics software and verified by field measurement data on inlet and outlet of the denitrification reactor. Then, key parameters such as the numbers and diameters of the grid-sampling ports, and the connected position of the analytical instrument are optimal designed using numerical simulation methods. The results show that when the number of sampling ports evenly distributed at the sampling section is greater than twelve, the error between the average sampling CO concentration and the average calculation value is within 5%. At the same time, the method can realize the overall flow uniformity of grid sampling system, by adjusting the diameter of individual sampling ports. In addition, the connection position of CO measuring instrument can also be given reasonable suggestions through this design method.更多还原