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Utilization of a Method to Estimate NO_2 Concentrations from a NO_X simulation for Thermal Power Plants.

机译:利用一种方法来估计NO_2浓度的NO_X仿真,用于热电厂的NO_X模拟。

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In Brazil,atmospheric dispersion studies for natural gas or diesel fired utility plants are based on mathematical modeling recommended by USEPA,such as ISCST3.These small to medium sized plants emit a number of pollutants,including nitrogen oxides,NO_X,a general group of compounds that includes nitrogen moNO_Xide(NO),nitrogen dioxide(NO_2)and small percentages of other nitrogen compounds.Over 95% of the NO_X emitted to the atmosphere is composed of nitrogen moNO_Xide(NO),while less than 5% is composed of nitrogen dioxide(NO_2).When in the air,nitrogen oxide is submitted to photochemical transformations,slowly and partially yielding NO_2,and vice versa.Despite the low concentrations,NO_2 emissions are a major concern in terms of environmental impacts.Calculations on the concentrations of NO_2 are more complex,since the NO_2/NO_X ratio varies with the quantity of NO_X in the air,the time of day,ozone concentrations,climatic seasonality,air temperature and UV radiation.Although chemical conversion rates can be used to estimate NO_2 concentrations,studies generally assume that either all NO_X is found in the atmosphere as NO_2 or some percentage of the NO_X in the air is assumed as NO_2,which imply excessively conservative calculations.Scientific methods can be found in the literature,addressed to estimating concentrations of NO_2 as a function of the total emission of NO_X.The method utilized in this paper allows obtaining concentrations of NO_2 from maximum concentrations of NO_X as calculated by ISCST3 modeling.This method was field tested for a number of emissions from utility plants and considers NO_X to NO_2 correction factors as a function of the distance to the source,according to the diurnal variability of meteorological parameters.The modeling outputs were related to data from the automatic air quality monitoring station in the site where the thermal power plant targeted by this study is located.
机译:在巴西,用于天然气或柴油机的大气分散研究基于USCST3推荐的数学建模,例如ISCST3。这些小于中等大小的植物发出了许多污染物,包括氮氧化物,NO_X,一般的化合物组其中包括氮气(NO),二氧化氮(NO_2)和小百分比的其他氮化合物。从氮气(NO)组成的NO_X的95%的NO_X组成,而小于5%由二氧化氮组成(NO_2)。当空气中时,氮氧化物被提交到光化学转化,缓慢和部分地产生NO_2,反之亦然。分析低浓度,NO_2排放是环境影响方面的主要关注点。对NO_2浓度的浓度是一个主要问题更复杂,因为NO_2 / NO_X比率随空气中NO_X的数量而变化,一天中的时间,臭氧浓度,气候季节性,空气温度和紫外线辐射。虽然化学C onversion率可用于估计NO_2浓度,研究通常假设所有NO_X在大气中发现,因为空气中的NO_2或NO_X的一些百分点被假定为NO_2,这意味着可以发现过度保守的计算。可以在作为NO_x总排放的函数的估算NO_2的文献。本文中使用的方法允许通过ISCST3造型计算的最大浓度从NO_X获得NO_2的浓度。该方法是测试的现场根据气象参数的昼夜变异性,电厂植物的排放并将NO_X校正因子认为NO_2校正因子作为与源的距离的函数。建模输出与热量的现场自动空气质量监测站数据有关。本研究所针对的电厂位于。

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