API Standard 521 new alternative method to evaluate fire relief for pressure relief device sizing and depressuring system design

Since the 1950's, API Standards have provided guidance on determining relief loads for equipment exposed to pool fires. The API method is empirical based on tests performed in the 1940's. There is increasingly widespread interest in analytical methods based on heat transfer principles to model fire heat input. The API committee agreed to include an analytical method in the 6th edition of API Standard 521 to establish relief loads for pressure relief devices and to design depressuring systems for the fire scenario. The analytical method provides more flexibility than the empirical method but has limitations (e.g., too many permutations are possible leading to potential under-sizing of the pressure relief device).This paper discusses the basis for the empirical method in API Standard 521 and provides comparisons of the empirical and analytical method with two more recent large-scale pool fire tests. This pool fire test data indicates that the empirical method will provide a conservative estimate of pool fire heat input for most applications and is still the method of choice when designing pressure relief systems. However, these recent tests indicate the empirical method needs to be modified when a vessel or equipment is partially confined by adjacent embankments or walls equal or greater than the vessel height. In such cases, the wetted area exponent should be 1.0 instead of 0.82.The analytical method is useful in determining time-versus-temperature profiles for heating unwetted vessels of varying wall thicknesses and materials of construction. These profiles, which depend upon the type of fire (e.g., unconfined pool fire, jet fire, etc.), can be combined with tensile strength and stress-rupture data to specify a depressuring system's pressure-versus-time profile. This will minimize failure and/or mitigate the effects of failure due to overheating from fire exposure.     

Thermodynamic method for the prediction of solid CO2 formation from multicomponent mixtures

The increase in GHG concentration has a direct effect on global climate conditions. Among the possible technologies to mitigate GHG emissions, CCS is being accepted to gain emission reduction. Such technology also involves cryogenic CO₂ capture processes based on CO₂ freeze-out or where the formation of solid CO₂ must be avoided. Captured CO₂ is usually transported in pipelines for the reinjection.The risk associated to the release of CO₂ is due to the changing temperatures and pressures the system may experience, which can lead to the deposition of solid CO₂ where it must be avoided. Prolonged exposure to dry ice can cause severe skin damage and its resublimation could pose a danger of hypercapnia. It is, thus, necessary to build up a tool able to predict the conditions in which CO₂ can freeze-out.A thermodynamic methodology based on cubic EoSs has been developed which is able to predict solid–liquid–vapor equilibrium of CO₂ mixtures with n-alkanes or H₂S which are usually found in equipment for acidic gas, mainly natural gas, treatment.The focus is a detailed analysis of the method performances when more than two components are present since, for such a case, literature does not provide significant modeling results.     

A new fault detection method for non-Gaussian process based on robust independent component analysis

Conventional fault detection method based on fast independent component analysis (FastICA) is sensitive to outliers in the modeling data and thus may perform poorly under the adverse effects of outliers. To solve such problem, a new fault detection method for non-Gaussian process based on robust independent component analysis (RobustICA) is proposed in this paper. A RobustICA algorithm which can effectively reduce the effects of outliers is firstly developed to estimate the mixing matrix and extract non-Gaussian feature called independent components (ICs) by robust whitening and robust determination of the maximum non-Gaussian directions. Furthermore, a monitoring statistic for each extracted IC is constructed to detect process faults. Simulations on a simple example of the mixing matrix estimation and a fault detection example in the continuous stirred tank reactor system demonstrate that the RobustICA achieves much higher estimation accuracy for the mixing matrix and the ICs than the commonly used FastICA algorithm, and the RobustICA-based fault detection method outperforms the conventional FastICA-based fault detection method in terms of the fault detection time and fault detection rate.     

A/O脱氮工艺实时控制对策的试验研究

以人工合成废水为研究对象,系统研究了提高A/O(anoxic/oxic)工艺氨氮和硝酸氮去除效率的实时控制对策.氨氮控制的本质是通过控制DO设定值和好氧区体积大小使出水氨氮浓度达标排放.硝酸氮控制的本质在于高效利用缺氧区反硝化潜力,为此建立了以调节内循环回流量或(和)外碳源投加量维持缺氧区末端硝酸氮浓度处于设定值的实时控制对策.系统控制采用两级结构,高水平监控层用来选择低水平执行层的设定值,而低水平执行层对DO值、好氧区体积、内循环回流量和外碳源投加量进行直接控制,试验表明上述控制对策可以显著提高系统脱氮效率,降低出水氨氮和硝酸氮浓度,并最大程度节约运行费用.     

湿润剂溶液在硫化矿矿尘中的反向湿润行为研究

采用毛细管反向渗透湿润实验方法,研究了两种阴离子型湿润剂对两种硫化矿矿尘的反渗长度与反渗时间的关系.在实验中,环境和溶液的温度不高(20℃左右),所选的两种湿润剂对硫化矿矿尘都具有一定的改善湿润效果作用,试剂A比试剂B稍好.在反渗长度1 cm内,其反渗长度与反渗时间接近线性关系;反渗长度增大,其反渗长度与反渗时间近乎成抛物线的关系.研究结果显示,用毛细管反渗湿润法研究湿润剂对硫化矿矿尘的湿润行为时,反渗时间与反渗长度的关系基本可用Washburn方程描述;但除了方程中所含的参数外,还存在着诸多的影响因素,如几何条件、矿尘的物理化学性质、湿润剂的种类和浓度梯度等.     

轧钢污泥综合利用的技术研究

阐述了一种轧钢污泥的回收处理技术,该技术可把轧钢污泥有效地分离成氧化铁粉和混合油,实现综合利用,减少铁素资源浪费,有良好的经济效益和环境效益.     

高效填料塔生物反应器处理制药废水处理厂含硫臭气

采用装有特制ZX01型填料的生物反应器,对某药厂废水处理厂产生的含硫臭气进行了近4个月的连续脱臭试验.结果表明:该填料塔生物反应器的最大容积负荷N_v≤204g/(m³·h)时,H₂S去除率接近100%,H₂S代谢产物主要以SO₄^2-为主.采用少量含N、P等营养物的二次沉淀池出水为喷淋水,其最适喷淋率为3.56L/(L·d).该填料塔有较强的抗负荷冲击能力,塔内阻抗低,无堵塞现象,无需经常进行反冲洗,可长期稳定运行.     

西太湖秋季蓝藻水华过后细胞裂解对溶解性有机碳影响

从2009年7月~2010年3月每月采集西太湖表层水样,分析叶绿素含量﹑蓝藻细胞裂解速率﹑磷酸盐浓度的变化,并通过切向流超滤系统分离得到的高分子量(1kDa~0.5μm)溶解性有机物的碳氮比值和高分子量溶解性有机碳浓度的变化.结果表明,西太湖蓝藻细胞裂解速率在11月达到最大值(0.43d-1),而磷酸盐和高分子量溶解性有机碳浓度分别在12月与9月达到最大值.细胞裂解速率与磷酸盐﹑高分子量溶解性有机碳浓度之间没有相关性,说明水华过后影响磷酸盐浓度﹑高分子量溶解性有机碳的因素很多,蓝藻细胞裂解只是其中重要因素之一.藻类水华的出现可能导致水体中其它磷形态(如有机磷)与磷酸盐之间的迁移转化,而大型浅水湖泊扰动导致的沉积物再悬浮和水华过后频繁的细菌活动都可能是影响高分子量溶解性有机碳的因素.秋季水华过后蓝藻细胞裂解释放的有机碳进入微食物网循环,引起细菌活动频繁,而溶解性有机物中含碳化合物比含氮化合物容易降解,所以碳氮比值逐渐减少.此外细菌通过硝酸盐合成溶解性有机氮也可能是碳氮比值减少的一个重要原因.     

三维电极电催化氧化法处理废水的研究进展

综述了近几年国内外在三维电极电化学反应器方面的最新研究进展,分析了电源的输出形式、阴阳极板的布置方式、粒子电极的填充方式等因素对废水处理效果的影响,探讨了碳纳米材料等新材料在粒子电极载体上的应用,最后介绍了三维电极法与其他技术联用的最新研究,并指出了三维电极法存在的问题及今后的研究方向。     

全球沙尘气溶胶源汇分布及其变化特征的模拟分析

根据全球沙尘气溶胶气候模式GEM-AQ/EC模拟的1995~2004年的沙尘起沙量和干湿沉降量,分析了沙尘气溶胶源汇的全球时空变化特征.全球沙尘起沙量集中在各个主要沙漠地区,北非对全球沙尘气溶胶贡献最大为66.6%.沙尘气溶胶沉降的高值区分布在沙漠源区及其紧临的下风地区.最大净沙尘气溶胶接收主要分布在沙漠周围地区并形成净接收量大于10t/(km2×a)的位于0°N~60°N之间的北非、欧亚大陆、西太平洋、北印度洋、北美和大西洋的带状分布.在北非、阿拉伯半岛、中亚、东亚和澳大利亚5个主要沙漠地区中,起沙量和沉降量都存在明显的季节变化,除中亚其他4个区域干湿沉降量和起沙的季节变化基本一致;东亚地区沙尘气溶胶起沙量和总沉降量的季节变化最为明显,而北非沙漠起沙量和总沉降量的季节变化最小,其他3个区域的季节变化幅度基本相同.中亚起沙峰值和阿拉伯半岛起沙次峰值出现在夏季,其他区域的峰值均出现在春季.10年间全球陆地年平均起沙量为(1500±94)Mt,保持略微上升趋势.以北非沙漠起沙量年际变化率最低(6.3%), 而以东亚(28.3%)和澳大利亚(45.0%)起沙量年际变化最为明显;全球陆地的沙尘气溶胶沉降量以约9.9Mt/a的速率递减,全球海洋的沙尘气溶胶沉降递增.