Overview of Factors Affecting Dust Deposition on Photovoltaic Cells and Cleaning Methods

Dust deposition on the surface of photovoltaic (PV) cells poses a significant challenge to their efficiency, especially in arid regions characterized by desert and semi-desert conditions. Despite the pronounced impact of dust accumulation, these regions offer optimal solar radiation and minimal cloud cover, making them ideal candidates for widespread PV cell deployment. Various surface cleaning methods exist, each employing distinct approaches. Choosing an appropriate cleaning method requires a comprehensive understanding of the mechanisms involved in both dust deposition on module surfaces and dust adhesion to PV cell surfaces. The mechanisms governing dust deposition and adhesion are complex and multifaceted, influenced by factors such as the nature and properties of the dust particles, environmental climatic conditions, characteristics of protective coatings, and the specific location of the PV installation. These factors exhibit regional variations, necessitating the implementation of diverse cleaning approaches tailored to the unique conditions of each location. The first part of this article explores the factors influencing dust deposition on PV cell surfaces, delving into the intricate interplay of environmental variables and particle characteristics. Subsequently, the second part addresses various cleaning methods, offering an analysis of their respective advantages and disadvantages. By comprehensively examining the factors influencing dust accumulation and evaluating the effectiveness of different cleaning strategies, this article aims to contribute valuable insights to the ongoing efforts to optimize the performance and longevity of photovoltaic systems in diverse geographical contexts.

Numerical simulation of the direct reduction of pellets in a rotary hearth furnace for zinc-containing metallurgical dust treatment

A mathematical model was established to describe the direct reduction of pellets in a rotary hearth furnace （RHF）. In the model, heat transfer, mass transfer, and gas-solid chemical reactions were taken into account. The behaviors of iron metallization and dezincification were analyzed by the numerical method, which was validated by experimental data of the direct reduction of pellets in a Si-Mo furnace. The simulation results show that if the production targets of iron metallization and dezincification are up to 80% and 90%, respectively, the furnace temperature for high-temperature sections must be set higher than 1300~ C. Moreover, an undersupply of secondary air by 20% will lead to a decline in iron metallization rate of discharged pellets by 10% and a decrease in dezincing rate by 13%. In addition, if the residence time of pellets in the furnace is over 20 min, its further extension will hardly lead to an obvious increase in production indexes under the same furnace temperature curve.

Methods of evaluating cleanliness of ventilation ducts

A testing system for evaluating cleanliness of ventilation ducts was constructed. Comparisons of four evaluation methods for quantifying the amount of dust on the inner surface of ventilation ducts are presented. The experimental results show that the wiping by solvent method is more efficient than that by the wiping method,especially used on low cleanliness duct surface. The gravimetric tape method is an efficient method of collecting dust samples on the duct surface with low amounts of dust,particularly used to check the cleanliness level after the cleaning work. The optical method can be set up rapidly and is useful for fieldwork measurements.

Detecting sand-dust storms using a wind-profiling radar

Sand-dust storm is a type of disastrous weather, typically occurring in arid and semi-arid climates. This study selected a region in the hinterlands of the Taklimakan Desert, called the Tazhong region, as the experimental area to quantitatively estimate the particle concentrations of sand-dust storms using the boundary layer wind-profiling radar. We thoroughly studied the radar echo signals and reflectivity factor features during the sand-dust storms. The results indicate that（1） under sand-dust storm conditions, boundary layer wind-profiling radar cannot capture the complete information regarding horizontal wind velocity and direction, but it can obtain the backscattering intensity of sand-dust storms; and（2） during sand-dust storms particle size distributions in the surface layer closely resemble log-normal distributions, with sand-dust particles sizes of 90–100 μm accounting for the maximum particle probability. Retrieved particle size distributions at heights of 600, 800, and 1000 m follow log-normal distributions, and the expected value of particle diameter decreases gradually with increasing height. From the perspective of orders of magnitude, the retrieved results for particle number concentrations and mass concentrations are consistent with previous aircraft-detected results, indicating that it is basically feasible to use boundary layer wind-profiling radar to quantitatively detect the particle concentrations of dust storms.

Lower order three-dimensional Burgers equation having non-Maxwellian ions in dusty plasmas

The dust acoustic（DA） shock wave with dust charge fluctuations, non-Maxwellian ions, and non-isothermal electrons is studied theoretically. The perturbation technique is employed to derive the lower order three-dimensional（3D） Burgers equation, and shock wave solution is explored by the tan-hyperbolic method. The effects of flat trapped and trapped electron distributions in the presence of Maxwellian and non-Maxwellian ions on characteristics shock waves are observed. The temperature ratio of non-Maxwellian ion temperature and non-isothermal electron temperature is found to play an important role in forming the shock-like structure.

Space time fractional KdV Burgers equation for dust acoustic shock waves in dusty plasma with non-thermal ions

The KdV-Burgers equation for dust acoustic waves in unmagnetized plasma having electrons, singly charged non- thermal ions, and hot and cold dust species is derived using the reductive perturbation method. The Boltzmann distribution is used for electrons in the presence of the cold （hot） dust viscosity coefficients. The semi-inverse method and Agrawal variational technique are applied to formulate the space-time fractional KdV-Burgers equation which is solved using the fractional sub-equation method. The effect of the fractional parameter on the behavior of the dust acoustic shock waves in the dusty plasma is investigated.

A Comparison Analysis of Chemical Composition of Aerosols in the Dust and Non-Dust Periods in Beijing

Dust events occurred frequently in Beijing in recent years. In this work, 120 aerosol samples were collected in two typical dust events (21-22 March and 15 May) and a non-dust period in Beijing from March to May 2001. Samples were analyzed for major elemental components by the Proton Induced X-ray Emission (PIXE) method. Results show that the enrichment factors of crustal elements such as Mg, Al, and Ti had little differences between the dust period and the non-dust period in Beijing, while the enrichment factors of other elements that have a relation to anthropogenic emissions were very low during the dust period. The results derived by using multivariate factor analysis from the observation data show that the sources such as soil dust, industry, and fuel combustion were among the major contributors to the particles in Beijing.

Research on Distribution Regularities of Dust Concentration and Granularity in Large Mining Height Working Face

The key for dust control of coal mine is to clarify the dust concentration distribution and sedimentation in different areas. Both similarity experiment and numerical simulation method have certain restrictions and are quite different from the actual situation on site. In order to study the dust sedimentation regularity of coal mine in large mining height, “filter membrane method” is adopted in this paper, i.e., to dry and weigh the filter membrane before and after sampling, collect the dust of respirable zone on mining face and calculate the dust concentration based on a main airway of 100 m. The result shows that: A large amount of dust will be produced during coal mining, wherein the maximum dust concentration from 6 m upstream to 100 m downstream of coal cutter is 121 mg/m3, while the minimum dust concentration is 61 mg/m3;The dust concentration in return airway is reduced with the distance increases, while the dust concentration at the entrance is 91 mg/m3;A large amount of dust may fall from roof during section advancing and improves the dust concentration of hydraulic support in walking area obviously;The dust granularity of mining face and return airway is 0 - 100 μm, but the amount of respirable dust is higher than 80%, the larger the dust particle size, the higher the dust concentration. Besides, dust in small particle size can be suspended in air flow for longer, but that in large particle size may subside under the action of gravity;To reduce dust exposure, the mining position shall be located in the windward direction of advancing or coal cutter. This research can provide guidance for taking dust prevention measures of working face in large mining height.

Scattering properties of polluted dust in 1.6-μm wavelength

Three typical polluted dust particles （i.e., single coated dust, two-sphere/spheroid system, and coated dust with ag- gregate） including internal and semi-external mixtures are modeled, and their scattering properties at 1.6-μm wavelength are calculated by using the generalized multi-sphere Mie-solution （GMM） method. We investigate the influences of par- ticle size, morphology, and chemical composition on the scattering parameters of polluted dust particles. The analysis results demonstrate that the single scattering albedo of coated dust is much smaller than that of pure dust, especially for the spheroidal black carbon （BC） coated dust. When a dust particle semi-mixes with another aerosol particle to form a two-sphere/spheroid system, its scattering properties are much more sensitive to the size and species of monomers than the monomer shape. If an aggregated BC attaches to the coated dust, the scattering properties of whole particle mainly depend on the host particle （coated dust）.

基于滤膜称重法的自动化粉尘质量浓度检测装置的研究

传统滤膜称重法操作过程繁琐、检测周期长,且自动化程度低,虽精度高但无法满足粉尘质量浓度实时检测需求。设计了粉尘质量浓度自动检测装置,通过建立温湿度补偿模型,替代手工称重法中采样后滤膜烘干的步骤,进一步缩减粉尘质量浓度检测时间以及粉尘质量浓度检测装置体积。搭建试验样机并调试实验,结果表明,煤矿井下常用的CCZ-20A型粉尘采样器与本装置检测得到的粉尘质量折算浓度经过计算其标准偏差在5%以内,一元线性回归拟合分析下的实验数据拟合相关性较好。为进一步提升装置的检测精度,研究基于傅里叶级数、线性拟合以及周期拟合相结合的误差补偿方法,设计出装置浓度计算流程并代入原始数据中,将该装置检测浓度误差由原始的(-7.20%,-1.26%)集中至(-3.64%,3.65%)。引入装置浓度计算流程后进行多次对比实验,实验结果显示装置浓度检测误差均在此区间内,验证了装置浓度计算流程的可靠性。该装置缩短了粉尘质量浓度检测所需时间,同时检测误差控制在合理的范围内,进而为滤膜称重法在粉尘质量浓度在线监测方面的研究提供一定的参考。

DIA Solitary and Shock Waves in Dusty Multi-Ion Dense Plasma with Arbitrary Charged Dust

The nonlinear propagation of the DIA (dust ion-acoustic) waves in multi-ion dense plasma system containing degener- ate electrons, both positive and negative ions, arbitrary charged dust grains has been investigated by employing the reductive perturbation method. The nonlinear waves (solitary and shock waves) have been observed to be formed in case of both positive and negative charged dust grains from the stationary solution of the Korteweg de-Vries (K-dV) equation and Burger’s equation. The fundamental properties of such nonlinear waves have been theoretically analyzed by comparing system potential for both positive and negative dust grains. It has been shown that the basic features of these waves are significantly modified by the positive and negative ions drift speed and polarities of dust grains. The implications of our results in space and laboratory plasmas are briefly discussed.

基于数值模拟的压入式通风隧道粉尘运移规律研究

为解决隧道钻爆作业施工期产生大量粉尘污染的问题,以四川卡拉水电站左岸交通隧道为研究对象,依据气固两相流理论,运用FLUENT软件构建了隧道粉尘扩散分布模型,对风流场分布特征和粉尘颗粒的运移规律进行模拟计算。结果表明:隧道风流场被划分为3个区域:涡流区、过渡区和稳定区,不同区域风流场特性有很大差异;风筒出口发射的高速气流运动过程中会逐渐扩大接触断面,并形成风幕;气流运动会导致隧道横截面方向粉尘质量浓度左低右高,但最后浓度分布将趋于平均;随着风速的增加,降尘速率增大,但有可能导致二次扬尘。最后,综合实际工程条件和施工要求,选择风速为24 m/s为最优排尘风速。研究成果可为隧道等地下工程通风系统改进和抑尘效果优化提供参考。

基于统计学模型的矿区粉尘污染特征及影响因素的定量分析

针对露天矿粉尘无秩序排放引发的生态环境退化问题,选取河曲露天煤矿粉尘产生区域为研究靶区,利用粉尘监测体系获取靶区TSP、PM10、PM2.5及环境指标数据,结合粉尘浓度对不同粒径粉尘分布差异性进行对比分析,引入空气质量浓度分指数法、Pearson关联矩阵分析法和灰色关联法对靶区内核心污染物、不同粒径粉尘内在关联性及环境指标与粉尘浓度的关联度进行深入探讨,基于单变量、多元线性和主成分得分-多元线性回归分析法对粒子变迁演化规律及环境指标对微粉尘权重的影响规律进行定量解析,同时运用均值误差法对MLR和PCA-MLR模型预测的精确度进行验证。结果表明:(1)区域1(采掘场)和3(煤场)不同粒径粉尘浓度均存在超过现行标准二级限值的情况,区域2(交通干道)仅存在超过一级限值的情况。(2)不同区域粉尘污染能力的强弱与IAQI评估结果一致,均为区域1>3>2;当不同区域TSP浓度一致时,域内粉尘污染能力的强弱顺序转变为区域2>3>1,且各区域核心污染物均为PM2.5。(3)不同区域粉尘浓度线性关系较为显著。(4)不同区域MLR模型演算出的多元线性方程的拟合度排序规律与粉尘浓度Pearson关联度趋于一致,且多变量拟合度优于单变量拟合度,结合MRE法检验出不同区域MLR模型预测精度区域3(3.02%)>2(9.46%)>1(10.75%)。(5)区域1中TSP和PM10与气压呈强正相关,PM2.5与相对湿度呈强负相关;区域2中各粒径粉尘均与温度和风速呈强负相关;区域3中仅与温度呈强负相关。(6)微粉尘权重与环境指标的PCA-MLR模型相对于直接MLR模型,预测精确度提高了56.63%和13.41%。

基于CFD-DEM耦合的梯级溜槽的设计与分析

针对传统物料转运过程中溜槽和输送带磨损严重、出口处粉尘浓度过高的问题,建立含臂架的梯级溜槽几何模型,采用基于计算流体力学与离散单元法(CFD-DEM)耦合的数值模拟方法,分析了臂架对转运溜槽的磨损以及对其出口处粉尘排放浓度的影响。仿真结果表明:含臂架的梯级溜槽可以有效控制物料流的速度和方向,降低对溜槽内表面的冲击磨损,降低出口处的粉尘量。

含有非热电子和陷俘离子的复杂等离子体中非线性尘埃声波的传播特征

本文研究了同时含有非热(nonthermal)电子和陷俘(trapped)离子分布的复杂等离子体系统中非线性尘埃声波的传播特征.首先,利用线性化方法推导得到非线性尘埃声波的色散关系.接着,借助Sagdeev势方法推导得到表征非线性尘埃声波运动的二维自治系统、Sagdeev势方程和Sagdeev势函数的具体表达式.然后,依据数值模拟的方法分析了多种系统因素对二维自治系统相图的重要影响.结果表明:含有nonthermal电子和trapped离子的复杂等离子体系统中同时存在线性周期波、非线性周期波和孤立波.接下来,通过讨论Sagdeev势函数随系统参数的变化规律发现:该复杂等离子体系统中仅存在振幅大于零的压缩型孤立波.最后,探讨多种系统因素对非线性尘埃声孤波的振幅、宽度和波形等传播特征的重要影响.结果显示:马赫数、nonthermal电子和trapped离子以及尘埃颗粒未扰动的数密度、温度及荷电量等参数对该复杂等离子体系统中非线性尘埃声孤波的振幅、宽度和波形等传播特性均具有显著影响,且该结果与Sagdeev势函数的分析结果保持一致.

铜冶炼烟尘金属分离及资源回收研究进展

以铜冶炼烟尘为研究对象,分析其理化及矿物学性质,对比铜冶炼烟尘金属分离与回收方法,包括碳热还原法、硫酸浸出法、碱性浸出法和湿法-火法联合工艺,总结各方法的原理、典型工艺、现状和存在问题,阐述非常规冶金方法在铜冶炼烟尘金属分离中的应用,展望铜冶炼烟尘资源回收的发展方向。研究结果表明:铜冶炼烟尘中砷、铜、锌含量受冶炼工艺、原矿品质的影响,不同元素赋存形态存在差异。碳热还原法可以通过金属砷酸盐和氧化物分解的方式释放砷,从而实现砷与其他有价金属的分离;硫酸浸出法可以高效浸提铜冶炼烟尘中的金属,实现多元素的回收;碱性浸出法可选择性浸提砷;湿法-火法联合工艺结合了火法工艺选择性分离砷和湿法工艺高效提取金属的优点,对于复杂高砷铜冶炼烟尘处理具有优势。铜冶炼烟尘兼具资源属性和环境风险,实现清洁生产及多金属资源化利用仍是关键,砷的无害化处置与锌、铜、铅等有价金属的高效协同回收工艺及分离机制、全过程物质流与环境效应是铜冶炼烟尘资源回收的发展方向。

秸秆基新型道路抑尘剂的制备与应用

以玉米秸秆为主要原料,以复合酶(木聚糖酶、β-葡聚糖酶、纤维素酶与羧甲基纤维素钠(CMC))、淀粉、Na_(2)CO_(3)为辅料,制备了一种道路抑尘剂,采用响应面分析法优化了制备工艺,并考察了该抑尘剂对大气中PM_(2.5)和PM_(10)的去除效果。实验结果表明:4种酶对抑尘剂失水率的影响顺序为β-葡聚糖酶>木聚糖酶>CMC>纤维素酶;在木聚糖酶、β-葡聚糖酶、纤维素酶与CMC质量比2.5∶1∶15∶23.5、反应温度45℃、反应pH 4.75、淀粉与复合酶质量比1.8∶1的最佳条件下,所制得抑尘剂的黏度为48 mPa·s、表面张力为0.02 N/m、密度为1028 kg/m^(3)、失水率为2.17%;喷洒该抑尘剂后,大气中PM_(2.5)的质量浓度从75.74~114.83 mg/m^(3)降低至0.34~0.91 mg/m^(3),PM_(10)的质量浓度从49.94~74.57 mg/m^(3)降低至0.12~0.34 mg/m^(3),去除率均大于99%。

覆膜方法对纳米纤维膜除尘滤料动态过滤性能的影响

为解决聚四氟乙烯(PTFE)覆膜滤料使用中阻力增长快且膜易破损问题,基于静电纺丝技术制备了涤纶(PET)纳米纤维膜,通过直接覆膜法、热处理覆膜法及一步共纺覆膜法将PET纳米纤维膜作为表面膜与聚苯硫醚(PPS)针刺毡滤料进行复合,并对比研究3种覆膜方法制备的PET纳米纤维膜滤料、PPS滤料以及PTFE覆膜滤料的动态过滤性能,结果表明,与PTFE覆膜滤料相比,3种覆膜方法制备的PET纳米纤维膜滤料均表现出优异的过滤性能.稳定过滤阶段,一步共纺覆膜法制备的PET/TPU纳米纤维膜滤料完成单个周期所需时间是PTFE覆膜滤料的2倍,粉尘剥离率为99.79%,其阻力增长速率低、完成单个周期所需时间平稳,降低能耗并减少了气流对膜造成的磨损,在工业除尘领域具有较大应用潜力.

湿法冶金工艺处理含铁含锌除尘灰的技术发展现状

随着工业化进程的不断推进,含铁含锌除尘灰对环境造成的影响越来越大。湿法冶金工艺作为一种环保、高效的处理方法,在处理含铁含锌除尘灰方面具有显著的优势。综述了含铁含锌除尘灰的来源、特性以及湿法冶金工艺在处理含铁含锌除尘灰方面的技术发展现状。分析了各种浸出方法的原理、特点及优缺点。剖析了湿法冶金工艺在处理含铁含锌除尘灰的挑战与对策,最后,探讨了湿法冶金工艺在处理含铁含锌除尘灰方面的未来发展趋势,指出了绿色环保技术、高效资源利用技术、跨学科综合研究及工业化应用与示范等方面的发展方向。以了解当前技术水平,为相关领域的技术进步和产业发展提供参考。

平板电极下微米级粉尘弥散浓度探测方法与时空演化特性分析

气体绝缘全封闭组合电器/气体绝缘金属封闭输电线路(GIS/GIL)在生产、运行和维护过程中会不可避免地产生微米级粉尘,可能是诱发工程现场不明放电的根本原因。为检测微米级粉尘弥散浓度并研究浓度的时空演化特性,该文分析了10000目、2000目和1000目粉尘的光散射特性,在此基础上设计并搭建了基于平板电极的粉尘浓度探测平台,实现了粉尘弥散浓度的定量探测。通过实验研究,获得了在升压过程和持续加压下,不同粒径、不同初始质量微米级粉尘的弥散浓度演化规律。研究表明,随着电压作用时间的增加,粉尘浓度快速出现最大值,然后逐渐下降。微米级粉尘弥散浓度在升压过程中会出现峰值现象,当粉尘粒径减小或初始质量增大时,均出现更大的浓度峰值。在粉尘运动过程中,存在团聚启举的特殊现象,造成严重的电场畸变,威胁气隙绝缘安全。该文结果阐释了微米级金属粉尘弥散浓度的时空演化规律,可为GIS/GIL等电气设备中微米级金属污染物的监测和危险程度评估提供支撑。