CH4/CO2混合组分在13X分子筛上的吸附平衡及分离性能

采用高精度智能重量分析仪IGA-100对13X分子筛进行CH4、CO2的吸附分离实验。于298、310、326 K温度下,分别测定了CH4、CO2纯组分及混合组分的吸附等温线。纯组分吸附等温线用DL(Double-Langmuir)模型拟合,并通过DL-IAST(Ideal Adsorbed Solution Theory,IAST)模型与实验测定值进行比较。利用该模型计算出不同温度下混合气中各组分的吸附量,得到了CO2的吸附选择性。结果表明,DL-IAST模型可以准确地描述CH4、CO2在13X分子筛上的吸附行为。在298 K时,随着压力的增加,CO2的吸附选择性增加,最后稳定在80左右;当温度一定时,CO2吸附选择性随着混合物中CO2浓度增加而减小。     

多孔蜂窝活性炭材料对CO2吸附热力学研究

以4种不同品牌多孔蜂窝活性炭为研究对象,采用N₂物理吸附、扫描电镜SEM、透射电镜TEM和XRF等方法对活性炭物化结构进行了表征,探讨了不同品牌蜂窝活性炭材料的成分和孔隙结构对CO₂吸附的影响。并通过对比0,20,40℃下CO₂的吸附等温线,分析CO₂在不同蜂窝活性炭材料表面的吸附热力学特性,拟合出CO₂气体吸附量与等量吸附热之间的关系。结果表明：N₂和CO₂吸附等温线属于Ⅰ型吸附等温线,样品主要以微孔结构为主,存在少量介孔结构;不同温度下活性炭吸附CO₂曲线均符合Langmuir吸附模型;温度升高,CO₂在活性炭材料上的吸附量均减小,说明升温不利于CO₂在活性炭上的吸附;相同条件下,泰州800活性炭(TZ800)的吸附量高于淄博800活性炭(ZB800)的吸附量,表明CO₂更易吸附于TZ800活性炭上,这可能得益于其丰富和发达的微孔结构。同时TZ...     

不同结构活性炭对CO_2、CH_4、N_2及O_2的吸附分离性能

制备了比表面积为1943 m2/g的纯微孔活性炭AC-1和比表面积为1567 m2/g,中孔比例为47.18%的活性炭AC-2.分别以AC-1及AC-2为吸附剂测定CO2、CH4、N2和O2的298 K吸附等温线,考察了两种活性炭对CO2/N2、CO2/CH4及CH4/N2气体混合物的吸附分离性能.实验结果表明,孔结构是影响吸附剂吸附分离性能的主要因素.富中孔活性炭AC-2较AC-1更适用于CO2/N2、CO2/CH4气体混和物的吸附分离,而微孔活性炭AC-1对CH4/N2混合体系的吸附分离性能优于AC-2.     

新型真空变压吸附法模拟分离N_2/CH_4/CO_2

依据活性炭对各组分吸附选择性差异,提出一种新型真空变压吸附(VPSA)工艺,可以在N2/CH4/CO2的三组分体系中富集CH4,该方法在传统的重组分提浓工序中加入了CH4和CO2产品气置换步骤,适用于对含低浓度CO2的煤层气甲烷富集。利用Aspen Adsorption软件对该过程进行模拟。原料气假设为体积分数9%CH4/6%CO2/85%N2,活性炭吸附剂对N2/CH4/CO2分离因子为1/4.15/10.62。在进料温度为298 K,吸附压力为0.6 MPa,解吸压力为-0.08 MPa条件下,运行稳态后能够将甲烷浓缩到体积分数77.172%,回收率高达97.923%。同时,CH4在轻重尾气中的体积分数分别仅为0.224%和0.673%。     

CO_2,CH_4在全硅MFI型沸石中吸附的分子模拟

采用巨正则蒙特卡洛(GCMC)分子模拟方法研究了CO2,CH4分子在全硅MFI型沸石中的吸附行为,计算得到了纯组分和两组分的混合物在不同温度时的吸附等温线;分析了全硅MFI型沸石对混合组分的选择性吸附;模拟还得到了CO2,CH4分子在全硅MFI型沸石中的吸附位。     

基于沸石ZSM-5的CH_4/N_2/CO_2二元体系吸附平衡

采用Rubotherm磁悬浮天平测量CH4、N2和CO2在沸石ZSM-5上的单组分吸附平衡等温线,温度273~353K,压力0~500 kPa。采用Sips模型、Toth模型和MSL模型对单组分吸附平衡实验数据进行拟合,拟合结果良好,非线性回归得到相应的模型参数。测量双组分CO2/N2、CO2/CH4和CH4/N2在沸石ZSM-5上的竞争吸附平衡等温线,实验温度为293 K,实验压力为0~500 kPa。采用基于Sips模型的理想吸附溶液理论和双组分MSL模型预测双组分气体在沸石ZSM-5上的竞争吸附平衡等温线,并与实验结果进行比较,预测结果良好。比较CO2/N2、CO2/CH4以及CH4/N2体系在沸石ZSM-5上的竞争吸附选择性系数,探究沸石ZSM-5吸附分离烟道气(CO2/N2体系)、垃圾填埋气(CO2/CH4体系)或煤层气(CH4/N2体系)的可行性,为将来进行工艺设计提供基础数据。     

真实吸附溶液理论预测CH4-C2H6在活性炭上的吸附平衡

采用容积法测试了纯CH₄和C₂H₆在204-Ⅱ活性炭上的吸附等温线,温度为293 K,压力范围为0～4 MPa。采用捕集法测试了CH₄-C₂H₆混合体系293 K、0～1.1 MPa条件下在204-Ⅱ活性炭上的吸附平衡数据,其中CH₄浓度范围34.0%～95.2%。引入描述吸附相自身非理想性的真实吸附溶液模型(RAST),结合描述吸附剂表面势场不均一的孔径分布模型(MPSD),建立了MPSD-RAST模型,其中RAST模型中的活度因子使用Wilson方程和NTRL方程计算。采用MPSD-RAST模型对CH₄-C₂H₆吸附平衡数据进行了预测,并与理想吸附溶液模型(IAST)和MPSD-IAST模型进行了对比分析。结果表明,对于轻组分CH₄,MPSD-RAST模型预测平衡吸附量和摩尔分数的精度明显优于IAST和MPSD-IAST模型;对于重组分C₂H₆,IAST、MPSD-IAST和MPSD-RAST 3种模型的预测偏差均低于5%。研究结果表明,预测混合气体的吸附平衡,吸附相自身非理想性是必须考虑的重要因素。     

CO/N2/CO2在MOF-74(Ni)上吸附相平衡和选择性

主要研究了MOF-74(Ni)材料对CO/N₂/CO₂的吸附分离性能。应用水热法合成制备MOF-74(Ni),分别采用全自动表面积吸附仪、P-XRD、扫描电子显微镜对材料的孔隙结构和晶体形貌进行了表征,应用静态吸附法测定了CO、N₂和CO₂在MOF-74(Ni)上的吸附等温线,应用DSLF方程模拟了3种气体MOF-74(Ni)上的吸附等温线,依据IAST理论模型计算了MOF-74(Ni)对CO/N₂二元混合物和CO/CO₂二元混合物的吸附选择性。研究结果表明:在0.1 MPa和常温条件下,MOF-74(Ni)材料对CO吸附容量高达6.15 mmol·g^-1,而相同条件下N₂的吸附量只有0.86 mmol·g^-1。MOF-74(Ni)在低压下(0～40 kPa)对CO的吸附量明显高于其对CO₂的吸附量。应用IAST模型估算MOF-74(Ni)对二元混合物吸附选择性的结果表明:MOF-74(Ni)对CO/N₂混合物的吸附选择性在1000以上;MOF-74(Ni)对CO/CO₂的吸附选择性在4～9范围,在所研究的二元气体混合物吸附体系中,MOF-74(Ni)都能优先吸附CO。     

高压下煤对CH4/CO2二元气体吸附等温线的研究

研究了晋城和潞安煤在高压下对纯 CH4,CO2 及其二元混合气体的吸附特性 ,在对混合气体绝对吸附量计算公式推导的基础上 ,对绝对吸附等温线进行了研究 .结果表明 :高压下煤对混合气体的吸附介于纯 CH4和 CO2 之间 ,Gibbs吸附等温线和绝对吸附等温线表现出较大的差异 ;煤对混合气体中 CH4和 CO2 的吸附呈现出不同的吸附特点 ;煤对 CO2 优先吸附 ,并且随着压力的升高 ,煤对 CO2 选择性吸附能力增加 .本研究结果对开展注烟道气提高煤层采收率和煤层埋藏CO2 具有一定的指导作用 .     

机器学习高效筛选用于CO2/N2选择性吸附分离的沸石材料

目前，针对气体吸附性能的测定及材料设计筛选，传统的实验法耗时耗力，因此分子力学方法中的巨正则蒙特卡洛(GCMC)方法已被广泛应用于该领域中，但日益增长的材料数目使得GCMC方法的计算量越来越高。为解决这一问题，本文提出了一种基于机器学习(ML)方法的吸附材料的筛选框架，包含ML模型的建立、理想化PSA工艺模型筛选材料及GCMC方法的验证三个阶段。首先，建立人工神经网络模型，提出了沸石材料的结构描述符“天然构造单元(NBU)”对特定条件下的气体吸附量进行预测。对于CO₂和N₂气体，分别构建了两个拓扑结构不同的多层前馈神经网络。其次，通过理想吸附溶液理论(IAST)将纯组分的吸附等温线转化为摩尔分数为0.14/0.86的CO₂/N₂二元混合物吸附等温线，并根据一系列吸附材料评估指标筛选出11种最佳沸石材料，并从中选出4种沸石(MON、ABW、NAB和VSV)计算其GCMC的吸附数据。结果表明，它们对N₂的吸附能力远低于CO₂，因此对两种气体的吸附选择性较高，能...     

正丁烷及丁烯-1在不同硅铝比ZSM-5分子筛上吸附的实验与模型

Four ZSM-5 zeolite catalysts with different Si/Al ratios for the catalytic cracking of C4 fractions to produce ethylene and propylene were prepared in this study.First,the adsorption isotherms of pure n-butane and butene-1 and their mixtures on these catalysts at 300K and p=0—100kPa were measured using the intelligent gravimetric analyzer.The experimental results indicate that the presence of Al can significantly affect the adsorption of butene-1 than that of n-butane on ZSM-5 zeolites.Then,the double Langmuir（DL）model was applied to study the pure gas adsorption on ZSM-5 zeolites for pure n-butane and butene-1.By combining the DL model with the ideal adsorbed solution theory（IAST）,the IAST-DL model was applied to model the butene-1（1）/n-butane（2）binary mixture adsorption on ZSM-5 zeolites with different Si/Al ratios.The calculated results are in good agreement with the experimental data,indicating that the IAST-DL model is effective for the present systems.Finally,the adsorption over a wide range of variables was predicted at low pressure and 300K by the model proposed.It is found that the selectivity of butene-1 over n-butane increases linearly with the decrease of Si/Al ratio.A correlation between the selectivity and Si/Al ratio of the sample was proposed at 300K and p=0.08MPa.     

Adsorption Equilibria for Ethane and Propane Gas Mixtures on Activated Carbon

Abstract

We measured the transmission curves of binary gas mixtures of esthane and propane (and also of each gas alone) flowing through an adsorber bed at 25°C packed with (Columbia 4LXC 12/28) activated carbon. The adsorption isotherms for pure ethane and propane are described well by a modified Langmuir isotherm known as the Chakravarti-Dhar isotherm. Ethane in the binary mixtures exhibits smaller adsorption capacities than that of pure ethane; however, the presence of ethane does not significantly reduce the adsorption capacity of propane in the mixtures. The ideal adsorbed solution theory (IAST) of Myers and Prausnitz and the semiempirical method of Cook and Basmadjian (C-B) are applied to predict adsorption equilibrium properties of the binary mixtures from the known pure gas isotherms. The pure ethane isotherm data at pressures higher than 10 mmHg are obtained from a correlation formula. Good agreement between the predicted results from the IAST and C-B methods and the experimental results indicates (1) that the correlation formula can be used for estimating isotherms of related hydrocarbons with reliance and (2) that the two methods are useful in predicting the adsorption equilibrium properties for the ethane-propane mixtures on carbon.     

Simulation of CO2/CH4 high pressure separation on microporous activated carbon

Abstract

Pure component adsorption equilibrium of CH₄ and CO₂ on activated carbon have been studied at three different temperatures, 298, 323, and 348?K within a pressure range of 10–2000?kPa. Binary adsorption equilibrium isotherm was described using extended Sips equation and ideal adsorbed solution theory (IAST) model. Experimental breakthrough curves of CO₂/CH₄ (40:60 in a molar basis) were performed at four different pressures (300, 600, 1200, and 1800?kPa). The experimental results of binary isotherms and breakthrough curves have been compared to the predicted simulation data in order to evaluate the best isotherm model for this scenario. The IAST and Sips models described significantly different results for each adsorbed component when higher pressures are set. These different results cause a significant discrepancy in the estimation of the equilibrium selectivity. Simulated and experimental equilibrium selectivity data provided by IAST presented values of around 4, for CO₂/CH₄, and extended Sips presented values of around 2. Also, simulated breakthrough curves showed that IAST fits better to the experimental data at higher pressures. According to the simulations, in a binary mixture at total pressure over 800?kPa, extended Sips model underestimated significantly the CO₂ adsorbed amount and overestimated the CH₄ adsorbed amount.     

CO_2和CO在分子筛与活性炭上的吸附平衡

本文分别用静态称重法测定了CO_2和CO在5A,13X,NaY分子筛与活性炭上的吸附等温线,用流动法测定了CO_2-N_2体系中CO_2在13X分子筛与活性炭上25℃时的吸附等温线以及透过曲线（break-through curve）。吸附等温线分别用Langmuir方程和Freundlich方程回归。     

丙烯腈和丙烯酸甲酯在活性炭上的吸附平衡

研究了丙烯腈和丙烯酸甲酯在活性炭上的单组分和双组分吸附平衡。实验结果表明,丙烯腈和丙烯酸甲酯的纯组分吸附等温线为典型的Langmuir型。对双组分吸附平衡,用扩展的Langmuir(E-L)方程和理想吸附溶液理论(IAST)进行预测,并与实验结果进行比较。结果表明两种模型对总吸附量的预测都相当准确,但对丙烯腈吸附量的预测,E-L方程计算的平均相对误差达55．9％,而IAST只有9．4％;对丙烯酸甲酯吸附量的预测,E-L方程计算的平均误差为7．7％,IAST只有1．6％。IAST大大提高了预测精度。     

多孔氢键金属-有机框架材料对乙炔和二氧化碳的吸附分离

以腺嘌呤和溴化铜（氯化铜）为原料,采用慢扩散合成法,合成多孔氢键金属-有机框架材料MPM-1-Br和MPM-1-Cl。采用SEM、PXRD、TGA及比表面积分析等技术对材料进行综合表征,并测定了此二种同构多孔氢键金属-有机框架材料对乙炔和二氧化碳单组分气体的吸附等温线。实验结果表明,MPM-1-Br和MPM-1-Cl的比表面积分别为373 m²·g^-1和417 m²·g^-1,且在<240℃的温度范围内有良好的稳定性;在298 K和总压100 kPa下,通过IAST理论计算得到其对C₂H₂/CO₂混合气体（体积比50：50）的吸附选择性分别达到了3.8和3.0,与HKUST-1（4.7）和UTSA-30（3.3）等金属-有机框架材料有相当的分离性能。     

Pure and Binary Adsorption Equilibria of Methane and Carbon Dioxide on Silicalite

Abstract

For the separation of CH₄ and CO₂ from landfill gas, pure and binary adsorption behavior of these gases were studied up to 5 atmosphere pressure at 40, 70, and 100°C for silicalite as the adsorbent. Pure and binary adsorption isotherms were determined experimentally and compared to predicted isotherms by several equilibrium models, as well as the other available data in the literature. Experimental binary isotherms at different concentrations were determined by using three concentration pulse methods (CPM). HT–CPM (Harlick‐Tezel CPM) was observed to be the best one to describe the behavior of this binary system. Equilibrium phase diagrams and separation factors were obtained from the experimental binary isotherms. For this system, the integral thermodynamic consistency tests were also shown and discussed.     

Adsorption and separation of CO2/N2 and CO2/CH4 by 13X zeolite

Accumulation of greenhouse gases in the atmosphere is responsible for increased global warming of our planet. The increasing concentration of carbon dioxide mainly from flue gas, automobile and landfill gas (LFG) emissions are major contributors to this problem. In this work, CO₂, CH₄ and N₂ adsorption was studied on Ceca 13X zeolite by determining pure and binary mixture isotherms using a constant volume method and a concentration pulse chromatographic technique at 40 and 100°C. The experimental data were then compared to the predicted binary behaviour by extended Langmuir model. Results showed that the extended Langmuir theoretical adsorption model can only be applied as an approximation to predict the experimental binary behaviour for the systems studied. Equilibrium phase diagrams were obtained from the experimental binary isotherms. For these systems, the integral thermodynamic consistency tests were also conducted. It was found that Ceca 13X exhibits large CO₂/CH₄ and CO₂/N₂ selectivity and could find application in landfill gas purification, CO₂ removal from natural gas and CO₂ removal from ambient air or flue gas streams. © 2011 Canadian Society for Chemical Engineering     

The role of adsorbent pore size distribution in multicomponent adsorption on activated carbon

The impact of adsorbent pore size distribution (PSD) on adsorption mechanism for the multi solute system was evaluated in this study. Anoxic and oxic adsorption equilibrium for the single solute (phenol), binary solute (phenol/2-methylphenol) and ternary solute (phenol/2-methylphenol/2-ethylphenol) systems on one granular activated carbon (GAC) F400 and two types of activated carbon fibers (ACFs), namely, ACC-10 and ACC-15, were determined. F400 has a wide PSD, while ACC-10 and ACC-15 have narrow PSD and their critical pore diameters are 8.0 Å and 12.8 Å, respectively. In single solute adsorption, the increase of adsorptive capacity under oxic conditions as compared to anoxic ones was related to the PSD of the adsorbent. Binary solute adsorption on ACC-10 and ternary solute adsorption on ACC-15 indicated no impact of the presence of molecular oxygen on the adsorptive capacity and the adsorption isotherms were well predicted by the ideal adsorbed solution theory (IAST). Significant differences between oxic and anoxic isotherms were noticed for other multicomponent adsorption systems. The narrow PSD of ACFs was effective in hampering the oligomerization of phenolic compounds under oxic conditions. Such a phenomenon will provide accurate predictions of fixed bed adsorbers in water treatment systems.