应用电声换能超声波雾化方法提高超细颗粒捕集效率

针对大气环境污染控制中超细颗粒难以捕集的问题,提出了一种高效、经济的新方法.其核心思想是将经电声换能超声波雾化得到的相对湿度过饱和雾气喷入含尘气体中,在“云”物理学、碰撞团聚等原理共同作用下,饱和水蒸汽在颗粒表面凝结,使超细颗粒的粒径增大,增加其捕集效率.为了证明这种方法的有效性,建立了小型电声换能超声波雾化捕尘实验台并在旋风除尘器中进行实验研究.实验结果表明,随着雾气浓度的增加,总除尘效率与超细颗粒的分级效率均有明显提高,并且旋风除尘器的压降(能耗)明显降低.     

雾化电晕净化烹调油烟技术

对雾化电晕放电极雾化过程、荷电液滴的捕集原理、自清洗作用进行探讨,在相同电压下雾化负电晕放电电流高于干式负电晕放电电流,极间大量荷电液滴具有很高的荷质比,并高速向极板驱进,对烟尘具有静电凝并和动力凝并除尘作用,具有高效净化油烟、自清洗极板的功能,此项净化烹调油烟的新技术,优于传统油烟净化技术,具有很好的应用价值和前景。     

雾化电晕净化烹调油烟技术

对雾化电晕放电极雾化过程、荷电液滴的捕集原理、自清洗作用进行探讨,在相同电压下雾化负电晕放电电流高于干式负电晕放电电流,极间大量荷电液滴具有很高的荷质比,并高速向极板驱进,对烟尘具有静电凝并和动力凝并除尘作用,具有高效净化油烟、自清洗极板的功能,此项净化烹调油烟的新技术,优于传统油烟净化技术,具有很好的应用价值和前景.     

声凝并联合雾化预处理及其在过滤除尘中的应用

根据声凝并理论和雾化湿式除尘理论,建立了燃煤飞灰在声场联合雾化加湿作为预处理的过滤式除尘实验装置。分别在声场、雾化加湿、声场与雾化加湿相结合3种预处理条件下进行实验,确定合适的加湿量范围,得出不同条件下燃煤飞灰的去除效果。在声场联合雾化加湿条件下,分别研究了声压级和雾化加湿量对飞灰的去除率的影响。结果表明,声场和雾化加湿联合作用能有效提高燃煤PM2.5去除率。以声场联合雾化加湿作为预处理进行过滤除尘实验,结果表明,虽然对高效滤料的除尘效率提高作用有限,但是该预处理可减轻滤袋负荷,有效延缓压差增长,降低清灰频率。由于采用表面覆膜滤材,加湿量控制得当可避免产生"糊袋"现象。     

选煤厂碎选机和破碎机除尘技术

对选煤厂碎机和破碎机的粉尘控制技术进行研究，即在碎选机采用以除尘器为主的抽吸附尘系统和破碎机采用气声雾化降尘技术，通过应用取得了好的除尘效果。     

基于表面活性剂的施工扬尘抑尘剂及其性能

针对建筑施工扬尘控制的需求,研究了适用于建筑施工扬尘的抑尘剂配方。该抑尘剂是由吸湿剂、凝并剂和表面活性剂组成的。采用含湿量、筛上和筛下土壤尘质量之比、渗透性作为指标,确定了组分及其浓度范围,通过正交实验筛选出最优抑尘剂配方,并对其抑尘性能进行了研究。结果表明,抑尘剂的最优组成为25%的氯化钙、0.25%的聚丙烯酰胺和0.05%的椰油酰胺丙基甜菜碱。在吸湿放湿性实验中,喷洒过该抑尘剂溶液的土壤尘样品的10 d后含湿量大于9%;在抗风蚀性实验中,喷洒过抑尘剂溶液的土壤尘样品的损失率为0。     

湿雾抑尘内混式空气雾化喷嘴的选型

针对工业粉尘控制问题,在稳态喷雾实验台上对多孔空气雾化喷嘴和扇形空气雾化喷嘴的雾化性能进行实验研究。结果发现,在喷嘴入口水压和空气压力一定的实验条件下,扇形喷嘴具有更大的喷雾锥角,但多孔喷嘴的液滴索特平均直径SMD明显低于扇形喷嘴;多孔喷嘴的雾化锥角和SMD随水流量变化基本保持稳定,液体质量在抑尘平面位置分布均匀,而扇形喷嘴的雾化锥角和SMD随水流量增加而明显增大,在抑尘位置液滴质量分布差异显著。综合来看,多孔空气雾化喷嘴的雾化效果优于扇形空气雾化喷嘴。     

一种检测水体总氮的多技术协同氧化消解装置

在分析比较前人方法的基础上,研究开发了一套集臭氧、紫外、超声雾化、高压静放电等多技术协同的氧化消解装置,对含氮水样进行连续消解,将水中含氮物质中的N氧化为NO3-,从而测定水中的总氮。通过实验可以确定最佳消解条件,计算出总氮氧化的转化率,并进行精密度、准确度检验。本法具有无需添加化学氧化剂,总氮氧化率高和消解速度快,精密度、准确度高等特点。     

高炉除尘灰细微颗粒物单/双预荷电强化滤袋过滤特性

传统袋式除尘器对于细微颗粒物的捕集效率不甚理想,在袋式除尘器入口前增加预荷电装置是一种切实可行的强化其过滤特性的技术手段。设计搭建线板式直流高压预荷电器,研究了不同正/负匹配电压及风速对于双极预荷电高炉除尘灰电凝并行为的影响规律,对比分析了滤袋对未荷电、单极负荷电以及双极荷电高炉除尘灰细微颗粒物(PM_2.5)的捕集效率与压差特性,得到了不同预荷电方式高炉除尘灰细微颗粒物在滤袋表面沉积的微观形貌结构。结果表明：随着过滤风速(1.5～0.5 m·s^-1及匹配负电压(-16～-12 kV)的降低,双极荷电颗粒物凝并效率提高;高炉除尘灰细微颗粒物单/双预荷电均能提高滤袋的过滤效率;对于粒径<0.5μm颗粒,双极预荷电技术对滤袋捕集效率的强化效果好于单极预荷电技术;对粒径为0.5～2.5μm颗粒,单极预荷电技术的强化效果超过了双极预荷电技术;颗粒物单/双预荷电技术还使得滤袋阻力增量值及其增长速率值降低,且单极预荷电技术对于阻力降低效果更为明显。本研究可为利用单/双预荷电技术提升传统袋式除尘器对高炉除尘灰中细微颗粒物的捕集脱除特性提供参考。     

旋风除尘器流场及浓度场实验与模拟

在研究旋风除尘器内气固两相的运动状况及分离机理方面,计算机模拟替代部分实验的方法能够优化设计旋风除尘器结构参数,提高其对微细颗粒的捕集效率,减少运行压力损失。本研究采用RSM模型和随机轨道模型对旋风除尘器内流场及浓度场进行模拟及实验。研究表明,旋风除尘器压力损失模拟结果与实验结果吻合较好,对于大于5μm的颗粒其捕集效率模拟结果与实验结果基本吻合;旋风除尘器外壁的颗粒浓度呈螺旋带状分布;如将排气管管径减少至原直径0.8倍,可使其对2μm颗粒捕集效率提高6.6%,但压力损失提高36.5%;颗粒的凝并作用有利于提高旋风除尘器微细颗粒的捕集效率。     

固定床中粒状脱硫剂除尘效率的研究

建立了非稳态过滤下的固定床颗粒层除尘效率模型.该模型尽可能地包含了影响固定床颗粒层除尘的参数,反映了沉积粉尘对除尘效率的影响;研究了以粒状脱硫剂为滤料的固定床在不同颗粒层厚度、空床气速、粒径下的除尘效率.结果表明,在颗粒层厚度为400～800 cm、空床气速≤0.4 m/s的条件下,颗粒层的除尘效率可达90％以上.     

电除尘器比电阻软件测算研究与应用

为了进一步提高静电除尘器的收尘效率、降低能耗,对粉尘比电阻这一重要影响因素进行了研究。依据粉尘比电阻值定义,建立了收尘极板上粉尘层压降模型,提出了利用压降模型和伏安拟合特性曲线数学表征式来在线测算真实工况下粉尘层比电阻的实现方法。以480C型阳极板、RS芒刺阴极线极配形式进行了模拟验证实验,结果表明测算所得的比电阻数值与实际值相符。最后对现有电除尘控制系统中基于比电阻值的反馈控制方法做了简要介绍。     

破碎站粉尘逸散规律及降尘技术的数值模拟及其应用

针对露天矿破碎站粉尘污染严重、治理技术中存在的缺陷,提出了超声波雾化喷雾降尘技术。以平朔安家岭煤矿为例,根据破碎站区域粉尘污染情况,应用数学模型对破碎站粉尘逸散规律进行解算,将模拟结果与现场实测数据对比,确定对卸载坑采用150~300μm雾滴粒径和对破碎机各产尘点采用1~10μm雾滴粒径的机体梁上外喷雾方式,通过对采取治理方案后破碎站粉尘浓度逸散的数值模拟和现场实际应用后的测试数据,显示全尘和呼吸性粉尘降尘效率分别达到94%和82%。结果表明,超声波喷雾降尘技术能有效降低破碎站粉尘浓度,保障了作业人员工作环境和安全。     

Mesoscale behavior study of collector aggregations in a wet dust scrubber

In order to address the bottleneck problem of low fine-particle removal efficiency of self-excited dust scrubbers, this paper is focused on the influence of the intermittent gas-liquid two-phase flow on the mesoscale behavior of collector aggregations. The latter is investigated by the application of high-speed dynamic image technology to the self-excited dust scrubber experimental setup. The real-time-scale monitoring of the dust removal process is provided to clarify its operating mechanism at the mesoscale level. The results obtained show that particulate capturing in self-excited dust scrubber is provided by liquid droplets, liquid films/curtains, bubbles, and their aggregations. Complex spatial and temporal structures are intrinsic to each kind of collector morphology, and these are considered as the major factors controlling the dust removal mechanism of self-excited dust scrubbers. For the specific parameters of gas-liquid two-phase flow under study, the evolution patterns of particular collectors reflect the intrinsic, intermittent, and complex characteristics of the temporal structure. The intermittent initiation of the collector and the air hole formation-collapse cyclic processes provide time and space for the fine dust to escape from being trapped by the collectors. The above mesoscale experimental data provide more insight into the factors reducing the dust removal efficiency of self-excited dust scrubbers.

Implications: This paper focuses on the reconsideration of the capturer aggregations of self-excited dust scrubbers from the mesoscale. Complex structures in time and space scales exist in each kind of capturer morphology. With changes of operating parameters, the morphology and spatial distributions of capturers diversely change. The change of the capturer over time presents remarkable, intermittent, and complex characteristics of the temporal structure.     

Chemical characterization and source identification/apportionment of fine and coarse air particles in Thessaloniki,Greece

The distribution of air particulate mass and selected particle components (trace elements and polycyclic aromatic hydrocarbons (PAHs)) in the fine and the coarse size fractions was investigated at a traffic-impacted urban site in Thessaloniki, Greece. 76±6% on average of the total ambient aerosol mass was distributed in the fine size fraction. Fine-sized trace elemental fractions ranged between 51% for Fe and 95% for Zn, while those of PAHs were between 95% and 99%. A significant seasonal effect was observed for the size distribution of aerosol mass, with a shift to larger fine fractions in winter. Similar seasonal trend was exhibited by PAHs, whereas larger fine fractions in summer were shown by trace elements. The compositional signatures of fine and coarse particle fractions were compared to that of local paved-road dust. A strong correlation was found between coarse particles and road dust suggesting strong contribution of resuspended road dust to the coarse particles. A multivariate receptor model (multiple regression on absolute principal component scores) was applied on separate fine and coarse aerosol data for source identification and apportionment. Results demonstrated that the largest contribution to fine-sized aerosol is traffic (38%) followed by road dust (28%), while road dust clearly dominated the coarse size fraction (57%).     

Fine dust filtration using a metal fiber bed

A bed-type filter composed of thin metal alloy fiber was closely examined with dust capturing in cold and hot runs. The investigation of an individual mechanism across the filter bed indicated that the aerated dust could be initially collected by depth filtration, and after a while, surface filtration dominated the overall dust collection. The present metal fiber bed was comparable to the conventional ceramic filters because of its good collection efficiency with low pressure drop. It also showed potential to be used as a prefilter in a diesel exhaust trapping system.     

Fine Dust Filtration Using a Metal Fiber Bed

Abstract

A bed-type filter composed of thin metal alloy fiber was closely examined with dust capturing in cold and hot runs. The investigation of an individual mechanism across the filter bed indicated that the aerated dust could be initially collected by depth filtration, and after a while, surface filtration dominated the overall dust collection. The present metal fiber bed was comparable to the conventional ceramic filters because of its good collection efficiency with low pressure drop. It also showed potential to be used as a prefilter in a diesel exhaust trapping system.     

Implementation of a windblown dust parameterization into MODELS-3/CMAQ: Application to episodic PM events in the US/Mexico border

Windblown dust is known to impede visibility, deteriorate air quality and modify the radiation budget. Arid and semiarid areas with unpaved and unvegetated land cover are particularly prone to windblown dust, which is often attributed to high particulate matter (PM) pollution in such areas. Yet, windblown dust is poorly represented in existing regulatory air quality models. In a study by the authors on modeling episodic high PM events along the US/Mexico border using the state-of-the-art CMAQ/MM5/SMOKE air quality modeling system [Choi, Y.-J., Hyde, P., Fernando, H.J.S., 2006. Modeling of episodic particulate matter events using a 3D air quality model with fine grid: applications to a pair of cities in the US/Mexico border. Atmospheric Environment 40, 5181–5201], some of the observed PM₁₀ NAAQS exceedances were inferred as due to windblown dust, but the modeling system was incapable of dealing with time-dependent episodic dust entrainment during high wind periods. In this paper, a time-dependent entrainment parameterization for windblown dust is implemented in the CMAQ/MM5/SMOKE modeling system with the hope of improving PM predictions. An approach for realizing windblown dust emission flux for each grid cell over the study domain on an hourly basis, which accounts for the influence of factors such as soil moisture content, atmospheric stability and wind speed, is presented in detail. Comparison of model predictions with observational data taken at a pair of US/Mexico border towns shows a clear improvement of model performance upon implementation of the dust emission flux parameterization.     

Source apportionment of particulate matter at urban mixed site in Indonesia using PMF

A receptor model of positive matrix factorization (PMF) was used to identify the emission sources of fine and coarse particulates in Bandung, a city located at about 150 km south-east of Jakarta. Total of 367 samples were collected at urban mixed site, Tegalega area, in Bandung City during wet and dry season in the period of 2001–2007. The samples of fine and coarse particulate matter were collected simultaneously using dichotomous samplers and mini-volume samplers. The Samples from dichotomous Samplers were analyzed for black carbon and elements while samples from mini-volume samplers were analyzed for ions. The species analyzed in this study were Na, Mg, Al, Si, K, Ca, Ti, Cr, Mn, Fe, Ni, Cu, Pb, Cl^?, NO₃^?, SO₄^2?, and NH₄⁺. The data were then analyzed using PMF to determine the source factors. Different numbers of source factors were found during dry and wet season. During dry season, the main source factors for fine particles were secondary aerosol (NH₄)₂SO₄, electroplating industry, vehicle emission, and biomass burning, while for coarse particles, the dominant source factors were electroplating industry, followed by aged sea salt, volcanic dust, soil dust, and lime dust. During the wet season, the main source factors for fine particulate matter were vehicle emission and secondary aerosol. Other sources detected were biomass burning, lime dust, soil and volcanic dust. While for coarse particulate matter, the main source factors were sulphate-rich industry, followed by lime dust, soil dust, industrial emission and construction dust.