废轮胎胶粉和废PE复合改性沥青性能研究

采用废轮胎胶粉和废PE材料对石油沥青进行复合改性,考察了不同废轮胎胶粉的颗粒大小和不同废PE材料的用量对所制得的复合改性沥青25℃针入度、软化点、5℃延度和存储稳定性的影响。通过考察发现,随着所用废轮胎胶粉颗粒的减小,样品的5℃延度和离析稳定性略有提高,25℃针入度和软化点没有明显变化。随着废PE材料掺入量增加,复合改性沥青样品软化点升高,25℃针入度和5℃延度降低。所制备的复合改性沥青具有很高的存储稳定性,并且能够达到美国废轮胎胶粉改性沥青标准(FHWA-SA-92-002)和中国改性沥青标准(JTJ 036-1998)和(DB/T 29-161-2006)的指标要求。     

餐厨垃圾中典型组分的裂解液化特征研究

利用实验室规模的实验装置管式加热炉进行餐厨垃圾热解实验,实验分析了反应温度对餐厨垃圾热解产物分布的影响,米饭、白菜、猪肉、塑料和纸5种原料在最佳温度下可实现热解油质量产率的最大化,分别为45.02%、24.55%、61.19%、73.77%和24.86%。其中,米饭和白菜热解油含水率较高,可达到30%~40%,将含水率降到15%后,测定热值分别为25.51 MJ/kg和17.75 MJ/kg。塑料和纸混合热解时,塑料热解过程的放热效应可缩小纸的热解温度区间,增加热解油产量。红外光谱分析厨余热解油包含多种含氧有机物。通过气质联用仪(GC-MS)分析塑料热解油和塑料与纸混合热解油在180℃以下蒸馏出的液相产物,主要组分为烷烃和烯烃,从成分和热值分析,与汽油、柴油相近。     

溶藻放线菌改性制剂对铜绿微囊藻的控藻能力研究

采用喷雾干燥法制备了一种溶藻放线菌粉剂,此粉剂按1∶10 000的质量比投加4 d后对铜绿微囊藻的溶藻效率可达90%,该粉剂经过壳聚糖改性处理后,在1∶20 000的质量投加比下,0.5 h即可絮凝去除90%的藻细胞,4 d后的溶藻效率仍可达80%。由于既能快速絮凝除藻,又能长效溶藻,使得改性溶藻放线菌粉剂具有更为广阔的应用前景。     

烟气急冷塔塔内脱硫脱氯过程的数值模拟

以FLUENT为计算工具,通过数值模拟的方法,研究了烟气急冷塔内的浆滴干燥、脱硫脱氯过程。塔内烟气流场分布的数值模拟以标准k-ε方程为基础,石灰浆滴的运动轨迹跟踪采用拉格朗日离散相模型。建立烟气冷却净化模型研究塔内气液两相之间的相间作用,通过模拟,最终得到急冷塔流场、温度场以及相关组分场的分布情况。模拟结果表明,计算得到的脱酸效率与实际情况吻合。该模型可以为急冷塔的设计和运行提供参考。     

工业废铝渣制备聚合硫酸铝及其絮凝性能研究

以一家金属材料厂生产过程中产生的废铝渣作为研究对象,通过对溶解条件和聚合工艺的优化,制备了聚合硫酸铝。将制备的聚合硫酸铝分别用于模拟浊度水及高色度高浓度有机工业废水的处理,实验结果表明,利用工业废渣所制得的聚合硫酸铝具有较好的除浊、脱色、去除COD效果。此工艺不仅可回收利用废铝渣,又可省去废渣处置费用,为废铝渣的综合利用提供了实用技术。     

废弃植物中药渣的热解特性及动力学研究

采用热重分析法(TGA)对丹参中药渣的热解特性及其动力学规律进行了研究。分析了不同升温速率(10、30和50℃/min)和不同粒径(0.85~0.6、0.3~0.18和0.125~0.1 mm)药渣的热解特性。结果表明,药渣热解可分为3个阶段:预热干燥阶段、主热解阶段和碳化阶段,随升温速率的升高,热重(TG)和微分热重(DTG)曲线向高温侧移动,药渣的最大失重速率也显著增加;与大颗粒相比较小颗粒的挥发分产量较大。采用Coats-Redfern法和Flynn-Wall-Ozawa(FWO)法对药渣热解的动力学进行分析,选出了较为合理的机理函数,并计算得出药渣热解活化能为62~72 kJ/mol。     

餐饮垃圾主要成分的热解动力学研究

将餐饮垃圾的主要成分纤维素、淀粉以及脂肪分别在10 K/min的升温速率下进行TG-DTG分析,结果表明3种物质由于分子结构与物质组成的差别,其热解特性有着明显的不同;同时采用Achar(微分法)和Coats-Refern(积分法)相结合的方法对餐饮垃圾进行热解动力学分析,找出最佳的机理函数并求出每种组分的活化能Ea和指前因子lnA。     

消防头盔对冲击加速度的防护作用

本文通过论述消防头盔对冲击加速度的防护原理、试验方法和试验结果,分析了不同方向冲击时,消防头盔对冲击加速度的防护作用,提出改进消防头盔设计的一些设想。     

鱼粉行业恶臭污染物产生与成分分析探讨

针对目前鱼粉行业废气污染严重、排放量大、成分复杂的特性和测定难度较大、监测准确度较低等实际情况,采用实际监测数据,利用傅立叶红外光谱分析仪,有针对性地对鱼粉生产过程中及采取治理措施后恶臭污染物的排放进行了现场连续监测,得到了全面的监测数据。     

Comparison of adsorption models in reservoir simulation of enhanced coalbed methane recovery and CO2 sequestration in coal

Coalbed methane is an important resource of energy. Meanwhile CO₂ sequestration in coal is a potential management option for greenhouse gas emissions. An attractive aspect to this process is that CO₂ is adsorbed to the coal, reducing the risk of CO₂ migration to the surface. Another aspect to this is that the injected CO₂ could displace adsorbed methane leading to enhanced coalbed methane recovery. Therefore, in order to understand gas migration within the reservoir, mixed-gas adsorption models are required. Moreover, coal reservoir permeability will be significantly affected by adsorption-induced coal swelling during CO₂ injection. Coal swelling is directly related to reservoir pressure and gas content which is calculated by adsorption models in reservoir simulation. Various models have been studied to describe the pure- and mixed-gas adsorption on coal. Nevertheless, only the Langmuir and Extended Langmuir models are usually applied in coal reservoir simulations. This paper presents simulation work using several approaches to representing gas adsorption, implemented into the coal seam gas reservoir simulator SIMED II. The adsorption models are the Extended Langmuir model (ELM), the Ideal Adsorbed Solution (IAS) model and the Two-Dimensional Equation of State (2D EOS). The simulations based on one Australian and one American coal sample demonstrated that (1) the Ideal Adsorbed Solution model, in conjunction with Langmuir model as single-component isotherm, shows similar simulation results as the ELM for both coals, with the IAS model representing the experimental adsorption data more accurately than the ELM for one coal and identically with the ELM for the other coal; (2) simulation results using the 2D EOS, however, are significantly different to the ELM or IAS model for both coal samples. The magnitude of the difference is also dependent on coal swelling and the well operating conditions, such as injection pressure.