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作 者:刘玉彻[1] 杨洪斌[1] 汪宏宇[1] 邹旭东[1]
机构地区:[1]中国气象局沈阳大气环境研究所,辽宁沈阳110016
出 处:《气象与环境学报》2010年第1期40-44,共5页Journal of Meteorology and Environment
基 金:中国气象局沈阳大气环境研究所公益项目"气候变化背景下大气边界层探测及大气环境数值模拟研究"资助
摘 要:介绍了冷却塔烟气排放原理及德国VDI 3784的S/P模式,结合实例研究了冷却塔烟气排放不同参数、不同大气条件下烟气抬升高度变化特征,并使用德国VDI 3945的Austal 2000模式分析了冷却塔与烟囱的排放浓度对比。结果表明:烟气抬升高度主要取决于出口温度气环境温度之差;随着风速的增大,抬升高度明显变小;随着直径的增加,烟气抬升高度也增加;随着出口速度的增加,抬升高度增加的相对较多;随着出口温度的增加,烟气抬升高度在逐渐增加,稳定度决定增加的倍数。VDI 3945模拟结果表明:小时浓度值差别相对较小,而年平均浓度值差别较大,日平均值的差别介于小时与年平均值之间。The theory of flue gas emission and S/P model in Germany VDI3784 ( the environmental meteorology dispersion modeling for flue gas discharge through cooling tower)were introduced. The characteristics of the parameters and uplifted height of flue gas under different atmospheric conditions were analyzed by the example. Flue gas concentrations from cooling tower and chimney were compared by Austal 2000 model in Germany VDI 3784. The results indicate that uplifted height of flue gas could be determined by the difference between export temperature of cooling tower and environmental temperature. Uplifted height decreases with the increase of wind speed and increases with the increase of diameter of cooling tower. Uplifted height increases obviously with the increase of flue gas speed in cooling tower export, so is with the increase of export temperature of cooling tower. Stability degree can be decided by the times of the increase. According to the simulation results of Germany VDI 3784, the difference of hourly concentration is smaller, followed by the difference of daily average concentration, while the difference of mean annual concentration is larger.
关 键 词:冷却塔 烟气抬升高度 S/P模式 污染物浓度变化
分 类 号:X513[环境科学与工程—环境工程]
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