石油库储罐区池火灾事故后果模拟探讨

石油库储罐区火灾、爆炸事故危害巨大.通过对某石油库储罐区池火灾事故后果进行预测评价,对石油库储罐区池火灾事故后果模拟方法进行了讨论和对比,为石油库安全管理、安全评价和应急救援预案编制提供有益的探索.     

便携式储油囊中网状聚氨酯泡沫材料阻燃抑爆性机理研究

针对便携式储油囊的储油安全性,提出了在储油囊内填充网状聚氨酯泡沫材料的设想,通过对网状聚氨酯泡沫材料阻燃抑爆性的机理研究,得出网状聚氨酯泡沫材料在储油领域中具有广阔应用前景的结论.     

第三方物流安全的现状分析及展望

选择一个有代表性的第三方物流企业样本并结合相关资料进行安全现状研究;分析第三方物流的安全观念和安全管理人员的配备,运输和仓储两个核心环节的安全现状;采用适宜方法和资料从供应链角度进行安全管理分析。指出我国第三方物流在运输、仓储等环节的安全问题较多;从供应链角度来理解和管理物流安全,物流安全管理是发展方向,应建立健全第三方物流事故分类统计信息系统。     

大型石油储罐消防设计研究

根据我国大型储罐设置的特点,分析了大型石油储罐在储存、转运过程中潜在的火灾危险。通过对千例石油火灾案例统计分析,获得了石油储罐发生火灾的主要原因。在此基础上,从石油储罐工艺设计、布局、防火和灭火等角度出发,分析大型石油储罐常用的类型、材料和防腐处理技术;研究储罐的布置间距;总结大型储罐消防设计中采用的防、灭火技术措施。论文研究的成果,可供实践工程参考。     

Geochemical and solute transport modelling for CO2 storage, what to expect from it?

Geochemistry plays an important role when assessing the impact of CO₂ storage. Due to the potential corrosive character of CO₂, it might affect the chemical and physical properties of the wells, the reservoir and its surroundings and increase the environmental and financial risk of CO₂ storage projects in deep geological structures. An overview of geochemical and solute transport modelling for CO₂ storage purposes is given, its data requirements and gaps are highlighted, and its progress over the last 10 years is discussed. Four different application domains are identified: long-term integrity modelling, injectivity modelling, well integrity modelling and experimental modelling and their current state of the art is discussed. One of the major gaps remaining is the lack of basic thermodynamical and kinetic data at relevant temperature and pressure conditions for each of these four application domains. Real challenges are the coupled solute transport and geomechanical modelling, the modelling of impurities in the CO₂ stream and pore-scale modelling applications.     

The role of optimality in characterizing CO2 seepage from geologic carbon sequestration sites

Storage of large amounts of carbon dioxide (CO₂) in deep geologic formations for greenhouse-gas mitigation is gaining momentum and moving from its conceptual and testing stages towards widespread application. In this work we explore various optimization strategies for characterizing surface leakage (seepage) using near-surface measurement approaches such as accumulation chambers and eddy covariance towers. Seepage characterization objectives and limitations need to be defined carefully from the outset especially in light of large natural background variations that can mask seepage. The cost and sensitivity of seepage detection are related to four critical length scales pertaining to the size of the: (1) region that needs to be monitored; (2) footprint of the measurement approach, and (3) main seepage zone; (4) region in which concentrations or fluxes are influenced by seepage. Seepage characterization objectives may include one or all of the tasks of detecting, locating, and quantifying seepage. Each of these tasks has its own optimal strategy. Detecting and locating seepage in a region in which there is no expected or preferred location for seepage nor existing evidence for seepage requires monitoring on a fixed grid, e.g., using eddy covariance towers. The fixed-grid approaches needed to detect seepage are expected to require large numbers of eddy covariance towers for large-scale geologic CO₂ storage. Once seepage has been detected and roughly located, seepage zones and features can be optimally pinpointed through a dynamic search strategy, e.g., employing accumulation chambers and/or soil-gas monitoring. Quantification of seepage rates can be done through measurements on a localized fixed grid once the seepage is pinpointed. Background measurements are essential for seepage detection in natural ecosystems. Artificial neural networks are considered as regression models useful for distinguishing natural system behavior from anomalous behavior suggestive of CO₂ seepage without need for detailed understanding of natural system processes. Because of the local extrema in CO₂ fluxes and concentrations in natural systems, simple steepest-descent algorithms are not effective and evolutionary computation algorithms are proposed as a paradigm for dynamic monitoring networks to pinpoint CO₂ seepage areas.     

台山电厂5号机组烟气脱硝液氨储存区设计

介绍了广东省台山电厂5号机组烟气脱硝工程选用液氨作为反应剂的工艺设计以及针对危险化学品液氨采取的一些具体措施,并对液氨储存区的设计提出了一些看法.     

Modelling Escherichia coli concentration in a wastewater reservoir using an operational parameter MRT%FE and first order kinetics

The operational parameter MRT%FE, representing the mean residence time of different ages fractions of effluent within a completely mixed reactor, was evaluated and integrated with first order kinetics. The parameter was used to model Escherichia coli concentrations in a municipal wastewater reservoir managed under different operating conditions (continuous and discontinuous). The study was conducted during 2004-2005 in a reservoir receiving effluents from the activated sludge treatment plant of Caltagirone (Eastern Sicily - Italy). The analytical approach is applied to the hydraulic state variables of the system (daily stored volumes, inlet and outlet flows), and the physical-chemical (pH, temperature, EC, TSS, BOD(5), COD) and bacteriological wastewater parameters (E. coli, FC, FS). In order to evaluate the reliability of the proposed approach, predicted E. coli concentrations within the reservoir were compared with measured ones by the correlation coefficient, F-test and Sperman's index. The study included the evaluation of die-off coefficient K(T) (d(-1)), light extinction coefficient K (m(-1)) and their relationships with climatic factors. Results of the study confirm that E. coli removal is related to the fractions of fresh effluent remaining each day within the reservoir with MRT%FE of about 5-8d, significantly lower than the nominal detention time (about 27d). The E. coli die-off coefficient (K(T)) was higher during system discontinuous operations and correlated with incident solar radiation and water temperature.     

Symmetrizing cathode-anode response to speed up charging of nanoporous supercapacitors

Asymmetric behaviors of capacitance and charging dynamics in the cathode and anode are general for nanoporous supercapacitors. Understanding this behavior is essential for the optimal design of supercapacitors. Herein, we perform constant-potential molecular dynamics simulations to reveal asymmetric features of porous supercapacitors and their effects on capacitance and charging dynamics. Our simulations show that, counterintuitively, charging dynamics can be fast in pores providing slow ion dif...     

油气回收技术在储运系统的应用

介绍了储运各个过程中的油气排放情况,及吸收法、吸附法、冷凝法、膜分离法和氧化燃烧法这5种油气回收方法的基本原理。重点介绍了近几年吸收法、吸附法、冷凝法、膜分离法这4种油气回收装置在油库和加油站应用的国内外新成果,以及新兴的车载油气回收系统(ORVR)。