Medium ‐ pressure ‐ liquid ‐ extraction (MPLE) of selected polychlorinated biphenyls from soil (MPLE II) 1

The extraction of PCBs from spiked soils using the Medium‐Pressure Liquid‐Extraction method showed good recovery rates. Comparison of MPLE and Soxhlet extraction of naturally contaminated soil showed similar results. However, too large quantities of solvents have to be used in MPLE procedure and the elution profile makes it unlikely, that the aspired separation from PAHs would be sufficient.     

添加剂对柴油机燃用乙醇柴油时排放颗粒特性的影响

为研究十六烷值改进剂和消烟剂对柴油机燃用乙醇柴油时颗粒排放特性的影响,在乙醇柴油中加入0.1%(以w计)、0.3%和0.5%的十六烷值改进剂或消烟剂,并在YZ4DB3柴油机上分别对这些燃料的排气烟度、颗粒比排放和粒径分布等进行研究. 结果表明:含添加剂的乙醇柴油颗粒物排放远低于0#柴油,降幅在50%以上;与0#柴油相比,添加0.3%十六烷值改进剂的乙醇柴油降低颗粒排放效果较显著,降幅高达64.2%,而添加0.1%消烟剂的乙醇柴油颗粒物排放降幅更高达84.0%,表明消烟剂的降颗粒效果更加显著. 柴油机燃用柴油时,排放颗粒的粒径呈双峰分布,峰值分别在0.56和0.18μm左右;但燃用含添加剂的乙醇柴油时,排放颗粒的粒径则呈单峰分布,其峰值均在>0.56~1.00μm粒径范围内. 柴油机燃用含添加剂的乙醇柴油后,0.18~0.32μm粒径范围内的排放颗粒显著减少,但在>0.32~1.00μm粒径范围内增加;同时,排放颗粒物中的积聚模态颗粒占排放颗粒总质量的比例降低,而粗粒子模态颗粒的所占比例相应增加. 排气烟度与积聚模态颗粒质量分布密切相关. 研究结果表明,柴油添加剂能够显著改善柴油机颗粒物排放特性,有利于改善大气质量.      

鲜甘薯发酵生产燃料乙醇中的降粘工艺

鲜甘薯高浓度发酵生产燃料乙醇的瓶颈之一是醪液粘度高,容易堵塞管路,严重影响工业化生产和增加能源消耗,同时也会降低乙醇发酵效率.为解决此问题,进行了添加降粘酶系及其作用条件优化研究,结果如下:1)确定最适降粘酶系为四川禾本生物工程有限公司的纤维素酶,粘度由1.7×104mPa.s降到8.8×102mPa.s,并且降低了生产成本;2)确定降粘酶作用前高温处理条件:110℃,20 min;3)最适降粘酶对不同品种鲜甘薯高浓度发酵的降粘效果表明降粘酶对大部分品种鲜甘薯降粘效果较好,粘度均约为1.0×103mPa.s以下,最低粘度只有2.7×102mPa.s,粘度下降率均在95%以上;4)在确定最适降粘酶系和其作用前高温条件后,将其应用于工业化生产,加入降粘酶2 h后发酵醪液的粘度由1.8×105mPa.s下降到2.7×103mPa.s,发酵后终粘度仅为7.9×102mPa.s,发酵时间仅为23 h,乙醇浓度达到10.56%(V/V),进一步验证了该降粘酶系应用于工业化鲜甘薯燃料乙醇生产的实际意义.表8参19     

Green thermal analysis for predicting thermal hazard of storage and transportation safety for tert-butyl peroxybenzoate

Liquid organic peroxides, such as tert-butyl peroxybenzoate (TBPB), have been widely employed in the petrifaction industry as a polymerization formation agent. This study investigated the thermokinetic parameters of TBPB by isothermal kinetic algorithms and non-isothermal kinetic equations, using thermal activity monitor III (TAM III) and differential scanning calorimetry (DSC), respectively. Simulations of 0.5 L, 25 kg, 55 gallon, and 400 kg reactors in liquid thermal explosion models were performed and compared to the results in the literature. A green thermal analysis was developed for a reactor containing TBPB to prevent pollution and reduce the energy consumption by thermal decomposition. It is based on the thermal hazard properties, such as the heat of decomposition (ΔH_d), activation energy (E_a), self-accelerating decomposition temperature (SADT), control temperature (CT), emergency temperature (ET), and critical temperature (TCR). From the experimental results, the optimal conditions to avoid violent runaway reactions during the storage and transportation of TBPB were determined.     

MFC 利用植物秸秆产电特性研究

探讨了不同浓度葡萄糖和秸秆水解产物共基质溶液对电能的输出影响,并检测了产电微生物的种类。随着阳极底物质量浓度（50,500,1000,1500,2000,2500 mg／L ）的升高,电池的最大开路电压依次为725,1286,1273,1318,1165,1280 mV。当质量浓度为1500 mg／L时,电池产电性能最高,其最大输出功率密度为363．38 mW／m2,内阻为191．68Ω,COD去除效率为82．8％,库伦效率为18．83％。利用16SrDNA技术分析了微生物燃料电池的菌群结构,结果显示,阳极主要产电微生物为铜绿假单胞菌和枯草芽孢杆菌。     

兴安落叶松林地表可燃物含水率预测模型的研建

对大兴安岭落叶松林地表可燃物含水率影响因子进行分析,选取主要的环境因子,为该区域内林火管理工作提供重要的理论依据。利用软件SPSS Clementine12.0,将相对湿度、地表温度、空气温度作为输入神经元,将兴安落叶松林地表可燃物含水率作为神经网络输出神经元,建立基于BP神经网络的含水率模型。应用BP神经网络模型敏感度分析结果来评定环境因子对兴安落叶松林地表可燃物含水率影响的大小,分析表明,影响兴安落叶松林地表可燃物含水率的主要环境因子由小到大排序为:相对湿度、地表温度、空气温度。构建的兴安落叶松林地表可燃物含水率BP神经网络模型对该区域内的林火管理工作具有一定的借鉴意义。     

A comparative study of particle size distribution from two oxygenated fuels and diesel fuel

Oxygenated fuels are known to reduce particulate matter (PM) emissions from diesel engines. In this study, 100% soy methyl ester (SME) biodiesel fuel (B100) and a blend of 10% acetal denoted by A-diesel with diesel fuel were tested as oxygenated fuels. Particle size and number distributions from a diesel engine fueled with oxygenated fuels and base diesel fuel were measured using an Electrical Low Pressure Impactor (ELPI). Measurements were made at ten steady-state operational modes of various loads at two engine speeds. It was found that the geometric mean diameters of particles from SME and Adiesel were lower than that from base diesel fuel. Compared to diesel fuel, SME emitted more ultra-fine particles at rated speed while emitting less ultra-fine particles at maximum speed. Ultra-fine particle number concentrations of A-diesel were much higher than those of base diesel fuel at most test modes.     

Microbial electrolysis cells with biocathodes and driven by microbial fuel cells for simultaneous enhanced Co(II) and Cu(II) removal

Cobalt and copper recovery from aqueous Co(II) and Cu(II) is one critical step for cobalt and copper wastewaters treatment. Previous tests have primarily examined Cu(II) and Co(II) removal in microbial electrolysis cells (MECs) with abiotic cathodes and driven by microbial fuel cell (MFCs). However, Cu(II) and Co(II) removal rates were still slow. Here we report MECs with biocathodes and driven by MFCs where enhanced removal rates of 6.0±0.2 mg?L⁻¹?h⁻¹ for Cu(II) at an initial concentration of 50 mg?L⁻¹ and 5.3±0.4 mg?L⁻¹ h⁻¹ for Co(II) at an initial 40 mg?L⁻¹ were achieved, 1.7 times and 3.3 times as high as those in MECs with abiotic cathodes and driven by MFCs. Species of Cu(II) was reduced to pure copper on the cathodes of MFCs whereas Co(II) was removed associated with microorganisms on the cathodes of the connected MECs. Higher Cu(II) concentrations and smaller working volumes in the cathode chambers of MFCs further improved removal rates of Cu(II) (115.7 mg?L⁻¹?h⁻¹) and Co(II) (6.4 mg?L⁻¹?h⁻¹) with concomitantly achieving hydrogen generation (0.05±0.00 mol?mol⁻¹ COD). Phylogenetic analysis on the biocathodes indicates Proteobacteria dominantly accounted for 67.9% of the total reads, followed by Firmicutes (14.0%), Bacteroidetes (6.1%), Tenericutes (2.5%), Lentisphaerae (1.4%), and Synergistetes (1.0%). This study provides a beneficial attempt to achieve simultaneous enhanced Cu(II) and Co(II) removal, and efficient Cu(II) and Co(II) wastewaters treatment without any external energy consumption.     

Characterisation of major component leaching and buffering capacity of RDF incineration and gasification bottom ash in relation to reuse or disposal scenarios

Thermal treatment of refuse derived fuel (RDF) in waste-to-energy (WtE) plants is considered a promising solution to reduce waste volumes for disposal, while improving material and energy recovery from waste. Incineration is commonly applied for the energetic valorisation of RDF, although RDF gasification has also gained acceptance in recent years. In this study we focused on the environmental properties of bottom ash (BA) from an RDF incineration (RDF-I, operating temperature 850-1000 °C) and a RDF gasification plant (RDF-G, operating temperature 1200-1400 °C), by evaluating the total composition, mineralogy, buffering capacity, leaching behaviour (both at the material’s own pH and as a function of pH) of both types of slag. In addition, buffering capacity results and pH-dependence leaching concentrations of major components obtained for both types of BA were analysed by geochemical modelling. Experimental results showed that the total content of major components for the two types of BA was fairly similar and possibly related to the characteristics of the RDF feedstock. However, significant differences in the contents of trace metals and salts were observed for the two BA samples as a result of the different operating conditions (i.e. temperature) adopted by the two RDF thermal treatment plants. Mineralogy analysis showed in fact that the RDF-I slag consisted of an assemblage of several crystalline phases while the RDF-G slag was mainly made up by amorphous glassy phases. The leached concentrations of major components (e.g. Ca, Si) at the natural pH of each type of slag did not reflect their total contents as a result of the partial solubility of the minerals in which these components were chemically bound. In addition, comparison of total contents with leached concentrations of minor elements (e.g. Pb, Cu) showed no obvious relationship for the two types of BA. According to the compliance leaching test results, the RDF-G BA would meet the limits of the Italian legislation for reuse and the European acceptance criteria for inert waste landfilling. RDF-I BA instead would meet the European acceptance criteria for non hazardous waste landfilling. A new geochemical modelling approach was followed in order to predict the leaching behaviour of major components and the pH buffering capacity of the two types of slags on the basis of independent mineralogical information obtained by XRD analysis and the bulk composition of the slag. It was found that the combined use of data regarding the mineralogical characterization and the buffering capacity of the slag material can provide an independent estimate of both the identity and the amount of minerals that contribute to the leaching process. This new modelling approach suggests that only a limited amount of the mineral phases that control the pH, buffering capacity and major component leaching from the solid samples is available for leaching, at least on the time scale of the applied standard leaching tests. As such, the presented approach can contribute to gain insights for the identification of the types and amounts of minerals that control the leaching properties and pH buffering capacity of solid residues such as RDF incineration and gasification bottom ash.     

废旧轮胎热解过程的温度效应

通过废旧轮胎热解产物的分布研究该过程的温度效应,发现温度升高、燃料油产率增加,炭黑产率减少,即热解温度从４５０℃～５５０℃上升到６５０℃～７５０℃,燃料油产率从３３．１％～３５．４％增加到４３．２％～４５．１％,炭黑产率从４６．２％～４５．１％,炭黑产率从４６．２％～４９．２％下降为３５．１％～３７．１％,采用ＧＣ／ＭＳ分析燃料油,确定出其中仍１４０多个组分,整个油品中芳香烃化作物占了７５％以上,