Simulation of integrated novel PSA/EHP/C process for high-pressure hydrogen recovery from Coke Oven Gas

This paper introduces a novel Coke Oven Gas (COG) hydrogen purification/compression system based on the technologies of Pressure Swing Adsorption (PSA) and Electrochemical Hydrogen Purification and Compression (EHP/C). As the EHP/C tolerates O₂, N₂ and CH₄ impurities, PSA can be utilized solely for CO and CO₂ removal (other COG impurities were not considered in this work). A relaxation of PSA hydrogen purity could significantly enhance its recovery rate. In this study, the suitability of traditional hydrogen PSA as part of the hybrid PSA/EHP/C approach was investigated. Aspen Adsorption and Matlab were used to model the PSA and EHP/C systems, respectively. The effect of adsorption pressure, purge-to-feed-ratio (P/F-ratio) and adsorption time within cycle on PSA performance is reported. This study found that breakthrough of non-detrimental components is typically accompanied with poisonous CO. Hence, the CO removal with traditional H₂-PSA resulted into high purity product. In a two-bed PSA, 36.3% of hydrogen was recovered at 99.9988% purity and 0.18 ppm CO. Subsequently, as a result, the EHP/C purification capability was merely utilized, but polished this hydrogen to >99.999% purity. Simultaneously, hydrogen was isothermally compressed to 20 MPa, consuming a marginal 2.42 kWh/kg. Compared to mechanical compression, this is 31.6% more energy efficient. Recovering hydrogen from by-product COG was found to save 0.5 kg CO₂/kg H₂ compared to hydrogen produced from natural gas. Conventional hydrogen PSA, utilizing 70% Activated Carbon and 30% Molecular Sieve 5A, was found not to be effective to target the removal of CO specifically. To increase synergy between PSA and EHP/C, the PSA requires adequate design and operation using appropriate adsorbents and cycle steps to target elimination of CO. An increased EHP/C catalyst tolerance for CO also contributes to higher flexibility.     

基于Matlab的制芯机器人夹持器稳定性研究与分析

由于铸造厂制芯机器人的工作环境恶劣,机器人抓取砂芯的稳定性较差,时常出现掉砂芯、夹伤砂芯的问题。针对上述问题建立以夹持器、气压、机械振动的系统数学模型,采用高阶系统极点在[s]平面的分布法来判定该系统的稳定性。在确保高阶系统极点值不变的情况下,通过改变系统的零点值来观察零点值对系统稳定性、振荡衰减时间的影响。用Matlab的pzmap和impulse函数分别对系统的零点、极点分布和零点值的不同对系统响应进行仿真,运用仿真结果与现场试验进行优化参数,结果表明采用一种刚度与柔度各为1/2的夹持器对制芯机器人的稳定性具有较好优化效果。     

基于matlab的电磁场仿真与分析

电磁场问题往往较为抽象，并且计算也相对比较复杂。为此，借助计算机软件对复杂问题进行求解的重要性也得到凸显。本文通过两个例子，着重介绍了matlab在电磁场仿真与数值分析中的应用。结果表明这一方法具有计算效率高，能使抽象的场的问题具体化的优点。     

多维度教学策略在信号与系统中探究

在新工科背景下，围绕以学生为中心，本文提出了一种多维度线上线下混合式教学策略在“信号与系统”课程中的探究与实践。整体流程主要包括课前自主学习、课上知识消化及课后教学反馈。该策略通过多个维度的教学方法对“信号与系统”课程中的知识点进行展示，显示了此教学策略能够达到良好的教学效果，且本文提出的教学方法也具有良好的推广作用。     

Matlab图形用户界面辅助《化学信息学》教学

化学信息学是一门利用信息学、计算机科学和技术来解决化学问题的学科。本文利用Matlab科学计算软件的图形用户界面(GUI)功能,通过分子模拟课堂教学的具体实例来展示图形用户界面在化学信息学课程辅助教学中的优点。交互式图形用户界面使得分子模拟过程直观可视化,通过理论与实践教学的结合有助于提高教学质量,激发学习兴趣。     

基于Matlab编程的含缺陷长输管道安全评定

分析各种管道评定标准给出不同裂纹情况相应的评价方法,采用GB/T 19624-2004对壁厚为18mm的X80管段长输管道工程实测裂纹进行简化评定,绘制出失效评定图,得出该管道可以安全运行,并给出了最大容许等效裂纹尺寸。对评定过程中的复杂汁算公式进行Matlab软件编程,使得计算过程程序化,提高计算准确率,降低评定难度。     

装饰混凝土砌块挡土墙的稳定可靠性分析

通过对装饰混凝土砌块挡土墙进行稳定性分析,以土的自重γ、抗剪强度指标C与",以及砌块的容重为基本随机变量,建立其稳定可靠性计算公式,运用Matlab进行编程,结合实例计算其可靠度。结果十分可靠,可为广大工程设计人员提供装饰混凝土砌块挡土墙的稳定可靠性计算方法。     

基于Matlab的高强混凝土配合比的试验研究

通过对利用Matlalo语言的优化工具箱所计算出的高强混凝土的最优用量的试验分析，证明了强度和工作性能均能满足工程的需要，从而验证了该方法求出的高强混凝土最优配合比的可行性。     

Matlab在土工试验数据处理中的应用

介绍了Matlab语言的优点,结合工程实例,阐述了Matlab在土工试验数据处理中的应用,指出应用Matlab编制程序简单快捷,数据处理快捷、合理、准确,人为误差小,以推广Matlab的应用。     

用有限差分法计算Winkle梁的一种方法

介绍了一种用有限差分法计算winkle弹性基础梁的简单实用的方法，此方法中Excel软件、Matlab软件联合使用，优势互补，组成一个开放的、易修改的、具有软件性质的计算模块。