火电厂锅炉炉膛灭火放炮事故树分析

针对火力发电厂锅炉炉膛灭火放炮的典型事故,采用事故树分析法进行定性分析,以便更有效地制定预防措施。     

基于BN的锅炉超压爆炸事故原因推理与故障诊断

分析了锅炉爆炸的原因,讨论了事故树与贝叶斯网络的特点,编制了以"锅炉超压爆炸事故"为顶事件的事故树,将其转化为锅炉超压爆炸事故贝叶斯网络拓扑结构,利用贝叶斯网络的技术优势,针对锅炉超压爆炸事故贝叶斯网络拓扑结构分别进行了原因推理与诊断推理。实例应用表明,在原因推理中,根节点V_1(压力上升)发生时锅炉超压爆炸事故发生的可能性最高;在诊断推理中,当锅炉超压爆炸事故发生时,根节点V_1(压力上升)一定发生,其次为V_4(定压不准),V_(11)(未装疏水管)发生的可能性最小,为企业进行锅炉超压爆炸事故预测与故障诊断提供了理论依据。     

人为热对广州高温天气影响的数值模拟个例分析

基于广州市2009,2000和1990年工业、交通、生活能源统计数据,通过能源清单法估算出广州市对应年份的人为热排放量,再通过在WRF模式中引入2009,2000和1990年的下垫面数据和人为热排放方案,对2005,2012和2017年广州市的3次持续高温过程进行模拟,从而评估不同年代人为热排放水平对广州市极端高温天气的影响.结果表明,模拟的2m气温较为准确,能合理模拟出城市地区的热岛效应,但对极端高温的模拟略有偏低,而引入人为热有助于改善模拟结果.在case2012中,2009,2000和1990年3种人为热排放水平使广州城市下垫面的平均气温分别上升0.53,0.44和0.13℃,热岛强度增强0.43,0.38和0.13℃.3个模拟个例的结果均表明,日间的人为热排放比夜间大,但夜间气温及热岛强度的变化比日间要明显.     

调水调沙对黄河口颗粒态金属分布的影响

于2009年6~7月黄河调水调沙前、中、后期对黄河口水体悬浮颗粒物进行采样调查,采用ICP-AES测定Al、Fe、Mn、Cr、Cu、Ni、V、Zn的含量,探讨调水调沙对颗粒态重金属分布的影响,初步分析了调水调沙前、中、后期黄河口颗粒态重金属的污染状况.结果表明,调水调沙期间颗粒态重金属的浓度升高,河口区颗粒态重金属的浓度随盐度的升高而降低.以Al为校正因子归一化消除颗粒粒径影响后,重金属的分布差异变小,表明粒径是影响重金属浓度变化的重要因素.富集因子计算结果显示,黄河口Cu、Zn相对富集,且调水调沙后其污染程度加重.在影响颗粒态重金属组成的因素中,颗粒物来源占主导地位,同时受人为活动的影响.     

我国环境应急监测车的现状与发展趋势

根据国家对突发环境事件应急处置的要求,结合我国环境应急监测车的发展现状和存在问题,对环境应急监测车在环境事件应急指挥系统、应急监测仪器和设备、污染物扩散模拟系统、危险化学品应急处置专家库、现场视频无线传输和通讯系统、气象系统、监测车辅助系统、个体防护器材等方面的配置和研发提出建议。     

A methodology for enhancing the reliability of expert system applications in probabilistic risk assessment

In highly complex industries, capturing and employing expert systems is significantly important to an organization's success considering the advantages of knowledge-based systems. The two most important issues within the expert system applications in risk and reliability analysis are the acquisition of domain experts' professional knowledge and the reasoning and representation of the knowledge that might be expressed. The first issue can be correctly handled by employing a heterogeneous group of experts during the expert knowledge acquisition processes. The members of an expert panel regularly represent different experiences and knowledge. Subsequently, this diversity produces various sorts of information which may be known or unknown, accurate or inaccurate, and complete or incomplete based on its cross-functional and multidisciplinary nature. The second issue, as a promising tool for knowledge reasoning, still suffers from lack of deficiencies such as weight and certainty factor, and are insufficient to accurately represent complex rule-based expert systems. The outputs in current expert system applications in probabilistic risk assessment could not accurately represent the increasingly complex knowledge-based systems. The reason is the lack of certainty and self-assurance of experts when they are expressing their opinions. In this paper, a novel methodology is presented based on the concept of Z-numbers to overcome this issue. A case study in a high-tech process industry is provided in detail to demonstrate the application and feasibility of the proposed methodology.     

基于FTA-IOT的高校校园安全系统性分析

为了更好的预防校园安全事故的发生,利用事故树方法研究了校园安全中的住宿安全、交通安全和饮食安全问题。论文通过计算事故树的最小径集对三类安全所有基本事件的结构重要性进行了分析,得出了对三类安全影响最大的因素。结果显示,财产丢失、火灾初期的控制是影响住宿安全的主要因素;校园车辆管理和人的行为是影响校园交通安全的主要因素;学生的不良饮水习惯、食堂卫生管理是影响饮食安全的主要因素。基于此,论文提出了基于物联网以RFID技术来提升校园的安全水平的措施。     

热磨试间火灾爆炸风险分析

采用层次分析法对热磨试间火灾爆炸风险进行分析,以某企业热磨试间内热磨合作业过程为例建立了评价模型。为提高层次分析法的准确性和有效性,在层次分析法之前,引入事故树,通过事故树确定各级指标,在层次分析法之后,通过与模糊数学相结合,对模型进行模糊评价,得出模型所处等级D=0.7087,即该企业热磨试间火灾爆炸风险为"危险性较大"等级。研究表明,"事故树-模糊层次分析法"应用于热磨试间火灾爆炸风险分析是可行的,有助于企业有针对性地制定安全措施,预防热磨试间火灾爆炸事故的发生。     

Study on the investment value and investment opportunity of renewable energies under the carbon trading system

China has promised to start the national carbon trading system in 2017. In the carbon trading system, the renewable energy projects may obtain additional benefits through the Certified Carbon Emission Reduction (CCER) trade. As the carbon price fluctuates along with the market conditions, such fluctuation enables the renewable power projects to acquire the rights of an option, i.e. it may contain an even higher value due to the uncertainties in the future. While making an investment decision, the renewable power companies may choose to make the investment immediately, or postpone the investment and accumulate more information to increase the return of investment; and for immediate investments, the return must be sufficient to exceed the potential value of a waiting option. To study the investment in renewable power projects subject to the fluctuation of carbon price, this paper adopts the trinomial tree model of real options to estimate the net present value (NPV) and real option value (ROV) of three types of renewable power projects; according to the decision-making rules of real options to defer, all the three types of projects will exercise the option to postpone the investment decision. This thesis also calculates the benchmark prices of the three types of renewable projects at different times, in the two situations of having no government subsidy and having the government subsidy, so as to determine the investment opportunity of a project. The benchmark price decreases gradually along with the increase of government subsidy, indicating that the government subsidy will stimulate the investment in renewable projects. The benchmark price also increases gradually along with the lapse of time, indicating that the uncertainty will increase together with the time span and thus requires an even higher carbon price to determine the investment opportunity. This thesis also analyzes the sensitivity of factors affecting the investment in renewable projects and draws the conclusion that the fluctuation of carbon price is positively related with the benchmark price of renewable power projects, which indicates that the fluctuation of carbon price increases the option value of an investment but postpones the time of investment. As the China’s carbon trading system improves gradually, the carbon price will reach a stable status, thus stimulate the power companies to invest in the renewable projects.