杭州市大气颗粒物浓度及组分的粒径分布

分别于2008年11月及2009年4~5月及10月采集了杭州大气颗粒物样本,测定了杭州市大气颗粒物及其化学组分[元素碳(EC)/有机碳(OC)、11种水溶性离子、20种元素]的浓度,并研究了其粒径分布特征.结果表明,杭州市大气颗粒物质量浓度、EC和OC的质量浓度、9种离子(SO42-、NO3-、K+、Na+、Cl-、Ca2+、Mg2+、NO2-、F-)浓度的粒径分布均显双峰结构,峰值分别出现在<0.49μm的细粒径段与3.00~7.20 μm的粗粒径段; OC、EC、SO42-、NO3-、NH4+以及主要来自人为源的元素(Cu、Zn、As、Se、Sb、Cd)主要集中在<3.0μm的细颗粒物中;杭州市大气细颗粒物中二次污染严重,细颗粒物主要受工业、交通等人为源影响.     

滤膜在颗粒物无机元素监测中的适用性研究

筛选国内外12个制造商的玻璃纤维、石英、特氟龙、聚丙烯、乙酸纤维、硝酸纤维和混合纤维等7类材质34种滤膜,测定滤膜中的铍、铬、锰、钴、镍、铜、锌、砷、钼、镉、锡、锑、铊和铅等14种元素含量,探讨不同材质滤膜中各元素的质量分数分布,采用大气固定源污染物排放标准中项目限值和分析方法标准中质量控制要求,对铜、锌之外的12种元素进行适用性评价。结果表明:玻璃纤维滤膜比其他材质滤膜中无机元素的质量分数高1～5个数量级,进口玻璃纤维滤膜中铬、镍、砷、镉等4种元素质量分数高于多数国产玻璃纤维滤膜,国产A、H玻璃纤维滤膜中14种元素质量分数相对较低;仅混合纤维滤膜中镉、铅的测定值浓度低于最严标准限值的10%,玻璃纤维滤膜之外的其他材质滤膜均能满足监测其余10种元素的本底需求。     

固定污染源排放可凝结颗粒物采样方法综述

综述了国内外固定污染源可凝结颗粒物(CPM)冲击冷凝法和稀释冷凝法2种采样方法,指出CPM是固定污染源排放颗粒物的重要组成部分,国内对于固定污染源CPM排放的监测和研究尚处于起步阶段,缺乏必要的CPM采样标准方法。通过分析2种采样方法的优缺点,提出冲击冷凝采样法需进一步降低SO_2等水溶性气体的影响,提高气相CPM冷凝效果及超细颗粒态CPM的捕集效率;稀释冷凝法需提高采样装置的便携性实现可过滤颗粒物(FPM)和CPM的分离采样,提高采样管路壁面颗粒物回收率。同时,针对我国固定污染源如燃煤电厂大量使用湿法脱硫设备的情况,CPM采样方法需提高对低温高湿且夹带液滴烟气采样的适用性。     

物化性质对细颗粒长大过程影响的研究现状

燃煤产生的飞灰颗粒是除尘器去除的主体,研究颗粒的物化性质对提高除尘效率有重要的意义。燃煤产生的细颗粒不能被传统除尘器有效的脱除,颗粒长大技术是有效脱除燃煤细颗粒的一种除尘技术。针对颗粒长大技术,综述了细颗粒的物化性质对脱除效果的影响。     

Impacts of Meteorological Factors on PM10: Artificial Neural Networks (ANN) and Multiple Linear Regression (MLR) Approaches

In this study, prediction capacities of multi-linear regression (MLR) and artificial neural networks (ANN) onto coarse particulate matter (PM₁₀) concentrations were investigated. Different meteorological factors on particulate pollution were chosen for operating variables in the model analyses. Two different regions (urban and industrial) were identified in the region of Kocaeli, Turkey. All data sets were obtained from air quality monitoring network of the Ministry of Environment and Urban Planning, and 120 data sets were used in the MLR and ANN models. Regression equations explained the effects of the meteorological factors in MLR analyses. In the ANN model, backpropagation network with two hidden layers has achieved the best prediction efficiency. Determination coefficients and error values were examined for each model. ANN models displayed more accurate results compared to MLR.     

工艺条件对鸟粪石晶体的粒径和沉降速度的影响简

采用激光粒度仪实验测定了小型套管式空气曝气填料层磷回收装置中不同条件下生成的鸟粪石晶体的体积平均粒径,考察了其变化规律,并结合Stokes公式计算了晶体的沉降速率,同时考虑鸟粪石晶体形状的影响,进行了相应的修正。实验结果表明,鸟粪石的粒径在10~200 μm之间,主要集中于20~100 μm;在磷回收装置中添加填料并通入空气有利于增大鸟粪石晶体的粒径和沉降速度,无填料无空气时和有填料有空气时的平均粒径分别在30~55 μm和40~65 μm之间。随着pH值的增大,鸟粪石晶体的粒径和沉降速度逐渐增大,但当pH大于9.0后,鸟粪石晶体的粒径和沉降速度又逐渐减小;氮磷比值从1：1增大到2：1,鸟粪石晶体的粒径和沉降速度小幅度增加,氮磷比进一步增大,鸟粪石晶体的粒径和沉降速度基本不变;镁磷摩尔比在1：1~1.2：1的范围内时,鸟粪石晶体的平均粒径和沉降速度随镁磷比的增大而增大;镁磷摩尔比大于1.2：1后,鸟粪石晶体的平均粒径和沉降速度随镁磷比的增大逐渐减小;初始磷浓度越高,鸟粪石晶体的平均粒径和沉降速度越大。     

燃煤工业锅炉PM2.5排放规律

当前我国工业锅炉中最主要应用炉型为链条炉,是大气污染物排放的重要污染源之一。本研究利用基于荷电低压捕集器(ELPI)的颗粒物排放稀释系统,选取5台典型链条燃煤工业锅炉,对其除尘器的进口、出口和脱硫后3处进行细微颗粒物(PM2.5)的现场测试。粒径分布结果表明,粒数浓度较多在0.04~0.3μm范围内,质量浓度分布在0.08~0.25μm范围内呈单峰上升形态。除尘装置对PM2.5的捕集效率在50%左右,除尘效果较差;脱硫后有些级的颗粒物浓度不降反升。目前环境日趋恶劣,燃煤工业锅炉作为PM2.5的重要排放源,将是今后重点控制对象。     

The effect of cerium oxide additive on the performance and emission characteristics of a CI engine operated with rice bran biodiesel and its blends

In this study, the rice bran oil (RBO) has been converted into methyl ester with an aid of transesterification reaction. Chemically, transesterification means conversion of triglyceride molecule or a complex fatty acid into alcohol and ester by removing the glycerin and neutralizing the free fatty acids. The B20 blend samples [80% diesel + 20% biodiesel] were prepared for each methyl ester obtained from RBO and then the cerium oxide (CeO₂) nanoparticles were added to the each B20 blend samples at a dosage of 50 ppm and 100 ppm with an aid of ultrasonicator. Moreover, in the absence of any engine modifications, the performance and emission characteristics of those blend samples have been investigated from the experimentally measured values such as density, viscosity, cloud point, pour point, and calorific value while the engine performance was also analyzed through the parameters like exhaust gas temperature (EGT), brake specific fuel consumption (BSFC), brake thermal efficiency (BTE), exhaust emission of carbon monoxide (CO), hydrocarbon (HC), and nitrogen oxide (NOx). The experimental results reveal that the use of CeO₂ blended biodiesel in diesel engine has exhibited good improvement in performance characteristic and reduction in exhaust emissions.     

烧结机细颗粒物PM_(2.5)排放特性

利用基于荷电低压颗粒物撞击器(ELPI)的颗粒物排放稀释采样系统,对不同烧结机组的机头、机尾、配料和整粒后的烟粉尘进行了PM2.5的现场测试。结果表明了各测试点位排放的PM2.5粒径分布和质量浓度分布特点。烧结机机头脱硫后虽然降低PM2.5的质量浓度,却增大了其粒数浓度,因此应对脱硫工艺进行优化。PM2.5单体颗粒形态有:球形颗粒、超细颗粒、不规则颗粒和烟尘集合体。PM2.5中SO2-4、有机碳(OC)、无机碳(EC)和铁(Fe)的含量较高,分别为2.65%~10.76%,6.15%~12.6%,3.05%~10.05%和4.14%~26.78%。     

Design and analysis of artificial bee-colony-based MPPT algorithm for DFIG-based wind energy conversion systems

In this article, the proposed maximum power point tracking (MPPT) method is designed by taking rotor speed as an optimization problem, which is solved by artificial bee colony (ABC) algorithm to generate the maximum power output. The main advantage of this algorithm is that its optimal solution is independent of the initial positions and requirement of lesser number of control parameters, which leads to simple and robust MPPT algorithm than other algorithm. Furthermore, the hill climb search and particle swarm optimization-based MPPT algorithm are also discussed and the results obtained by these are compared to verify the effectiveness of proposed algorithm. Simulations for MPPT control along with doubly fed induction-generator-based wind energy conversion system is carried out in MATLAB/Simulink environment. Three statistical methods are used to evaluate the accuracy of each MPPT algorithm. All results are analyzed and compared under randomly selected wind as well as real wind speed configuration. Comparison of both numerical and simulation results under two different varying wind speed conditions strongly suggest that the proposed ABC-based MPPT algorithm is superior than other two MPPT algorithms.