机动车燃料清洁化趋势

阐述了机动车燃料清洁化的主要方法和趋势。分析了几种汽油添加剂和替代品的使用对发动机，机动车排放及人体和环境的影响，以及我国燃料油质量标准和清净剂，燃油添加剂，清洁燃料替代品等技术。     

唐山市柴油货车活动水平研究

利用2043台柴油货车的车载诊断系统监测数据和3套道路遥感监测数据分析唐山市柴油货车活动水平特征,并评估春节和不同管控措施对市内柴油货车活动水平的影响.结果表明：唐山市轻、中和重型柴油货车日均启动4.7、4.3和10.8次·d^-1,年均行驶里程分别为（5.2±3.6）×10⁴、（6.3±4.2）×10⁴和（8.9±4.5）×10⁴ km·a^-1,百公里油耗分别为（14.9±2.7）、（16.5±1.8）和（57.3±24.2）L·100 km^-1.柴油货车主要在唐山市内的非中心区域行驶.春节期间监测车辆在唐山市的行驶里程明显下降,遥感监测本地柴油货车流量下降82.0%.重污染预警期间,非中心区域重型柴油货车的管控措施效果较好,中心城区柴油货车日均行驶里程和行驶车辆数,以及港区柴油货车流量均出现不降反升,建议完善重污染期间中心城区的柴油货车管控措施,以及适度加强港区柴油货车管控.     

4种重要因素对柴油机颗粒物排放因子的量化影响研究

在发动机台架测试基础上,按照发动机排放阶段、油品种类、后处理装置和运行工况4种因素的不同,进行了24组测试,研究了颗粒物排放因子.同时,应用单因素敏感性分析,探究了发动机排放阶段和油品种类对颗粒物排放因子的影响;并运用多元线性回归分析,探讨了4种因素对颗粒物排放因子的影响力大小排序.结果显示:24组柴油机测试的颗粒物排放因子均值为(21.9±24.5) mg·kWh~(-1);使用国Ⅴ排放标准柴油机的颗粒物排放因子((14.7±5.6) mg·kWh~(-1))比国Ⅳ排放标准柴油机((19.4±16.4) mg·kWh~(-1))有所下降;国Ⅳ柴油、国Ⅴ柴油和混合柴油的颗粒物排放因子平均值分别为120.0、(11.8±1.0)和(11.5±1.3) mg·kWh~(-1),混合柴油颗粒物排放因子与国Ⅴ柴油相近,两者相比国Ⅳ柴油有明显下降;油品种类是影响颗粒物排放因子的第一大因素,后处理是影响颗粒物排放因子的第二大因素.     

DOC对柴油机燃用生物柴油颗粒物微观形貌及SOF组分的影响

为研究氧化催化转化器（DOC）对柴油机燃用调合生物柴油（B0,B20）后排放颗粒物微观形貌及可溶性有机组分（SOF）的影响规律,对DOC作用前后的排气颗粒物进行采样,利用透射电镜（TEM）和气相色谱-质谱仪（GC-MS）开展颗粒物理化特性研究.结果表明：未加装DOC时,与B0相比,B20排放颗粒物基本碳粒子粒径减小,分形维数增加,团聚堆积现象加剧;SOF组分中的脂类和酸类物质质量分数增加,烷烃类、芳香烃和酚类物质质量分数减少,C26~C35的质量分数降低.加装DOC后,B0和B20排气颗粒物团簇程度降低,分形维数降幅分别为10.1%和15.5%;SOF组分中芳香烃类和酚类物质质量分数增加,烷烃类、脂类、酸类质量分数减小,C15~C25质量分数下降;B0排放颗粒物SOF中C26~C35质量分数降低41.4%,而B20增加865.8%.     

漂浮型B、N共掺杂TiO_2光催化剂的制备及柴油降解性能

以膨胀珍珠岩为载体,采用溶胶-凝胶法制备硼、氮共掺杂漂浮型Ti O_2,采用XRD、BET、SEM、UV-vis DRS、XPS等分析手段进行材料表征并考察其对柴油的光降解性能.结果表明,B-N-Ti O_2/EP复合光催化剂表面有明显的Ti O_2覆层,晶型为锐钛矿型Ti O_2,Ti O_2负载有利于比表面积的提升.制得的B-N-Ti O_2/EP的可见光区响应高于N-Ti O_2/EP和Ti O_2/EP,该结果与3种材料的柴油光降解效果相一致.B-N-Ti O_2/EP对柴油的9h降解率将近50%,GC-MS分析表明,光降解过程中柴油各特征组分(C_9~C_(23))均得到不同程度降解,其中C_(11)以下的短链有机分子降解效果明显.     

超声波-表面活性剂修复柴油污染土壤实验研究

采用超声波联合十二烷基苯磺酸钠(LAS)和烷基聚葡糖苷(APG1214)修复柴油污染土壤。考察了表面活性剂浓度、液固比、超声时间、超声波功率、超声温度等对柴油去除效果的影响。当表面活性剂浓度为4g/L,液固比为20∶1,超声波功率为500 W,在25℃下超声15 min,使用APG1214去除柴油效果优于LAS,对不同污染程度土壤柴油的去除率分别达到78.8%、88.1%及90.5%。     

尾气余热制氢柴油机的燃烧特性分析

设计了一种利用发动机尾气余热制取氢气的装置,该装置可以利用发动机余热,将乙醇水溶液催化反应为富含氢气的重整气。该重整气通入发动机供其燃烧使用,可以有效的提高发动机的燃烧效率。主要考虑该重整气对柴油燃烧的影响,依据美国加州劳伦斯利弗莫尔国家实验室反应机理,通过Chemkin软件计算该装置生成的重整气加入发动机以后对发动机燃烧特性的影响,分析了不同重整气掺混比例下的火焰传播速度,研究了柴油燃烧和柴油混合重整气燃烧的区别,总结了重整气在改善发动机燃烧方面所发挥的作用。     

不同制备方法对Cu-SSZ-13催化性能的影响

为了考察制备方法对Cu-SSZ-13催化剂在氨选择性催化还原NO_x(NH_3-SCR)中催化性能的影响,使用不同的方法和载体,制备出理化性质有明显差异的3种催化剂(Cu_(3.9)-Na_(0.8)-SSZ-13、Cu_(5.1)-H-SSZ-13和Cu_(4.0)-Na_(4.0)-SSZ-13),并考察3种催化剂的水热稳定性和抗硫中毒性能.结果表明,由于具有适宜的Cu负载量,并且Cu物种的稳定性极高,一步合成法制备的Cu_(3.9)-Na_(0.8)-SSZ-13催化剂的水热稳定性优于液相离子交换法制备的两种催化剂.而以H-SSZ-13为载体,液相离子交换法负载Cu物种制备的Cu_(5.1)-H-SSZ-13催化剂具有最优的抗硫中毒能力,这与其较多的酸性位有关.因此,含有较多酸性位并且活性物种稳定性高是制备水热稳定性和抗硫中毒能力较优的Cu-SSZ-13催化剂的关键.     

Effects of thermal barrier coating on the performance and combustion characteristics of a diesel engine fueled with biodiesel produced from waste frying cottonseed oil and ultra-low sulfur diesel

In this study, the top surfaces of piston and valves of a four-strokes and direct-injection diesel engine have been coated—with no change in the compression ratio—with a 100 μm of NiCrAl lining layer via plasma spray method and this layer has later been coated with main coating material with a mixture of 88% of ZrO₂, 4% of MgO and 8% of Al₂O₃ (400 μm). Then, after the engine-coating process, ultra-low sulfur diesel (ULSD) as base fuels and its blend with used frying cottonseed oil derived biodiesel in proportion of 20%, volumetrically, have been tested in the coated engine and data of combustion and performance characteristics on full load and at different speeds have been noted. The results, which were compared with those obtained by uncoated-engine operation, showed that thermal efficiency increased, and engine noise reduced. Cylinder gas pressure values obtained from the diesel engine which has been coated with thermal barriers have been found to be somewhat higher than those of the uncoated-engine. Also, maximum pressure values measured in both engines and under the same experimental conditions through the use of test fuel have been obtained after TDC. Moreover, heat release rate and heat release have occurred earlier in the coated-engine. NOx emissions were increased while CO and HC emissions were remained almost the same with a little bit decrease.     

Selection of optimum fish oil fuel blend to reduce the greenhouse gas emissions in an IC engine—A hybrid multiple criteria decision aid approach

The increasing demand on energy due to population growth and rising of living standards has led to considerable use of fossil fuels which has in turn, had an adverse impact on environmental pollution and depletion of fossil fuels in Internal Combustion (IC) engine sector. Alternative fuel blend evaluation in IC engine fuel technologies is a very important strategic decision involving decisions balancing within a number of criteria and opinions from different decision maker of IC engine experts. The selection of appropriate source of biodiesel and proper blending of biodiesel plays a major role in alternate energy production. This paper describes an application of hybrid Multi Criteria Decision Making (MCDM) technique for the selection of optimum biodiesel blend in the IC engine. The proposed model, Analytical Network Process (ANP) is integrated with Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) to evaluate the optimum blend. Here the ANP is used to determine the relative weights of the criteria, whereas TOPSIS is used for obtaining the final ranking of alternative blends. An efficient pair-wise comparison process and ranking of alternatives can be achieved for optimum blend selection through the integration of ANP and TOPSIS. The obtained preference order for the blends are as B20 > B40 > Diesel > B60 > B80 > B100. This paper highlights a new insight into MCDM techniques to evaluate the best fuel blend for the decision makers such as engine manufactures and R&D engineers to meet the fuel economy and emission norms to empower the green revolution.