Utilization of pyrolytic oil and hydrogen enriched syngas from single feedstock (delonix regia) through pyrolysis process and its influence on performance and emission characteristics in CI engine

The main objective of the present investigation is to conduct the performance, combustion and emission analysis of CI engine operated using hydrogen enriched syngas (pyrolytic gas) and biodiesel (pyrolytic oil) as dual fuel mode condition. Both the pyrolytic oil and syngas is obtained from single feedstock delonix regia fruit pod through pyrolysis process and then pyrolytic oil is converted into biodiesel through esterification. Initially biomass is subjected to thermal degradation at various pyrolysis temperature ranges like 350–600 °C. During the pyrolysis process syngas, pyrolytic oil and char are produced. The syngas is directly used in the CI engine and pyrolytic oil is converted into biodiesel and then used in the CI engine. The pyrolytic oil and syngas is subjected to FTIR and GC/TCD analysis respectively. The syngas analysis confirms the presence of various gases like H₂, CH₄, CO₂, CO and C₂H₄ in different proportions. The various proportions of the syngas is mainly depending upon the reactor temperature and moisture content in the biomass. The syngas composition varies with increase in the temperature and at 400 °C, higher amount of hydrogen is present and its composition are H₂ 28.2%, CO is 21.9%, CH₄ is 39.1% and other gases in smaller amounts. The biodiesel of B20 and syngas of 8lpm produced from the same feedstock are considered as test sample fuels in the CI engine under dual fuel mode operation to study the performance and emission characteristics. The study reveals that BTE has slight increase than diesel of 1.5% at maximum load. On the another hand emission like CO, HC and smoke are reduced by 15%,25% and 32% respectively at full load condition, whereas NO_x emission is increased at all loads in the range of 10–15%. Therefore B20+syngas of 8lpm can be used as an alternative fuel in CI engine without any modification and major products from pyrolysis process with waste biomass is fully used as fuel in the CI engine.     

A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price

Creating an intelligent system that can accurately predict stock price in a robust way has always been a subject of great interest for many investors and financial analysts. Predicting future trends of financial markets is more remarkable these days especially after the recent global financial crisis. So traders who access to a powerful engine for extracting helpful information throw raw data can meet the success. In this paper we propose a new intelligent model in a multi-agent framework called bat-neural network multi-agent system (BNNMAS) to predict stock price. The model performs in a four layer multi-agent framework to predict eight years of DAX stock price in quarterly periods. The capability of BNNMAS is evaluated by applying both on fundamental and technical DAX stock price data and comparing the outcomes with the results of other methods such as genetic algorithm neural network (GANN) and some standard models like generalized regression neural network (GRNN), etc. The model tested for predicting DAX stock price a period of time that global financial crisis was faced to economics. The results show that BNNMAS significantly performs accurate and reliable, so it can be considered as a suitable tool for predicting stock price specially in a long term periods.     

我国上市公司股票评级研究——财务结构模型分析法在股票市场中的应用

目前,我国股票市场上的股票评级尚处于探索阶段,评级时多采用专家法或历史法,而对于影响股票评级的各因素的确定以及因素间的相互作用缺乏定量分析。研究将结构模型应用到我国股票市场的股票评级中,建立关于我国股票评级的财务结构模型;分析各个因素对股票评级的影响;建立股票评级经验模式值。     

油气吸收回收系统的研究及工业应用——(Ⅰ)中型试验及结果分析

在蒸发油气吸收回收技术小试研究的基础上，开发出常温常压吸收法油气回收中试装置，并利用已开发的吸收剂AbsFOV-97进行了中试试验。结果表明，当系统进料气、吸收剂AbsFOV-97、汽油的体积流量比为10．0：1．0：0．5、真空泵解吸压力小于13．3kPa时，系统回收率高达97％以上，高于设计指标，且回收汽油的质量满足使用要求。统计数据表明，油气回收系统进料气、尾气中平均油气摩尔质量分别为65．51、48．97g／mol，该值可为油品蒸发损耗及其控制技术的评价提供参考。     

FCC汽油光催化氧化脱硫的实验室研究

采用光催化氧化与液液萃取同时进行的方法，考察了光敏剂十六烷基三甲基溴化铵的用量、pH值、双氧水体积分数和反应时间对脱硫效果的影响。结果表明，在光源为主波长365nm的300W中压汞灯，双氧水体积分数为25％，FCC汽油与双氧水体积比为1：3，总体积为120mL，加入0．20g十六烷基三甲基溴化铵，以7000r／min高速均质5min，pH值为4，光照10h的实验条件下，FCC汽油脱硫率可达91．20％；脱硫后的双氧水及光敏剂可以重复使用，不会造成二次污染。     

FCC汽油叠合生产柴油的研究——(Ⅰ)叠合催化剂的研制

采用中孔γ-Al2O3为载体，以非贵金属Ni为活性金属组分，以金属Sn为助剂组分，制备了FCC汽油叠合生产柴油的催化剂。在实验室小型连续流动式固定床装置上，以FCC汽油为原料，考察了主活性金属负载量、助催化剂、催化剂制备条件对催化剂性能的影响。研究结果表明，在活性金属Ni质量分数为8％，助催化剂Sn质量分数为1％，浸渍时间6h，焙烧温度500℃，焙烧时间4h的条件下，制备的叠合催化剂的催化性能最好。并对催化剂进行了1500h的稳定性试验和再生性能考察，结果表明该叠合催化剂具有良好的稳定性和再生性能。     

新国标烯烃限值的无铅汽油对汽车耐久性能的影响

选用3种轿车,使用烯烃含量接近新国标限值35％的无铅汽油,行驶8×10~4km,进行整车和发动机台架检测,并对进气阀和喷嘴进行评定。试验结果表明,在行驶8×10~4km后,整车的动力性、经济性很稳定,电喷车的排放检测值符合现行国标的限值要求;进气阀较清洁,喷嘴流量损失小;发动机外特性、比油耗、活塞窜气量、汽缸压缩压力等都变化不大。这说明,符合现行国标烯烃限值要求的无铅汽油适合目前我国汽车的使用并能满足现行排放法规的要求。     

催化裂化汽油选择性加氢脱硫催化剂RSDS-1的开发

介绍了用于催化裂化汽油选择性加氢脱硫催化剂RSDS-1的研究开发，考察了载体、活性组元、金属原子比以及助剂对催化剂选择性的影响。研究结果表明，催化裂化汽油中烯烃的加氢饱和受扩散限制；Co—Mo组合对烯烃饱和的能力相对较弱；较高的Co／Mo原子比有利于提高催化剂选择性；助剂的加入对催化剂选择性有明显的影响；RSDS—1催化剂用于催化裂化汽油选择性脱硫，对不同原料油适应性好，脱硫率可达80％，RON损失小于2个单位，且可长周期稳定运转。     

煤巷锚杆支护技术的探讨

从巷道围岩强度,原岩自重应力,地质构适应力,煤柱留设宽度和巷道断面形状等方面对影响煤巷稳定性的因素进行了分析,提出了煤巷锚杆支护注意的6个问题。     

催化裂化汽油脱硫助剂TS-01的工业试验

中国石油化工股份有限公司九江分公司在I套催化裂化装置进行了TS—0l催化裂化汽油脱硫双功能助剂的工业应用。结果表明：TS—0l剂对催化裂化汽油有较好的脱硫效果。当TS—0l剂注入原料中的量为70μg／g时，对催化裂化汽油的硫脱除率约为20％；注入量为120μg／g时，硫脱除率可达到25％-30％。汽油中脱除的硫主要以硫化氢形态转移至于气、液化气中。TS—01剂对产品分布及产品其它质量无明显影响，该剂亦有良好的金属钝化效果。