质子交换膜燃料电池电站多米诺事故概率和风险研究

为探究氢能电站火灾爆炸事故发展规律,采用多米诺效应对电站进行事故概率和风险研究,建立氢能电站多米诺效应定量风险分析模型。基于设备受损概率模型与多米诺理论基础,提出氢能电站多米诺效应概率计算方法,并将方法运用到实际案例,结合SAFETI软件对具体多米诺事故场景进行定量计算。研究结果表明：氢能电站易发生多米诺事故,考虑一级多米诺效应后人员潜在死亡概率增加56%。研究结果可为制定氢能电站安全防控措施以及降低火灾爆炸事故对人员和设备的危害提供依据。     

基于3个维度的火电厂安全评价新方法

为了改善火电厂安全评价中存在的主观性和单一性,首次提出基于3个维度的火电厂安全评价方法.利用DEA(Data Envelopment Analysis,数据包络分析)模型得到相对安全度;把影响安全因素的重要参数分为3类,通过无量纲处理得到参数安全度;借助专家打分处理得到潜在安全度.3个维度的原始数据经处理被统一到[0,1]区间,进而通过岭形模糊隶属函数模糊化把最后的安全评价结果映射到危险、较危险、较安全、安全4个评语等级.最后通过某自备电厂不同月份的安全评价算例证明了该方法的可行性.     

分析钛管冷凝除湿技术在燃煤电厂烟羽治理中的应用实例

目前消除"有色烟羽"主要采用MGGH、GGH等烟气再热技术,这些技术只是通过提高烟气扩散消除"有色烟羽"的视觉感受,但不能减少污染物和水汽的排放。本文介绍了一种钛管冷凝除湿技术在某300MW循环流化床机组"烟羽治理"中的实际应用,并对冷凝除湿过程中烟气水回收、污染物协同治理等效果进行分析,最终实现节水及污染物协同减排的目的。     

Safety assessment for accident of cooling loop failure (ACLF) in lunar nuclear power reactor (LNPR)

The safety assessment of an accident in the lunar base power plant is investigated for the stability of the operation. The lunar surface reactor is modeled for this study. The accident of cooling loop failure (ACLF) is one of the important scenarios for the virtual case in the moon nuclear power plant (NPP). The newly designed lunar nuclear power reactor (LNPR) is suggested for the commercial purpose. The system dynamics (SD) is used for the simulation of the safety assessment. The cyclic variation of the lunar surface temperature can affect to the physical situation of the coolant, which is expressed by the time step. The result shows the performance possibility of the long term cooling increases slightly in the short period of the time step. The dynamical simulation of the lunar environment is performed for the conceptual design of the NPP.     

Performance assessment and optimization of HSE management systems with human error and ambiguity by an integrated fuzzy multivariate approach in a large conventional power plant manufacturer

This study presents an integrated approach performance assessment and optimization of integrated health safety environment (HSE) management system-based on fuzzy data envelopment analysis (FDEA) considering the possible human error and data vagueness in a conventional power plant manufacturer. In doing so, it corresponds and integrates its registered HSE-MS with OHSAS 18001:2007 and ISO 14001:2004 to evaluate multiple inputs and outputs of over 35 subsidiary HSE divisions with parallel mission and objectives simultaneously. The HSE divisions of each subsidiary are considered as decision making units (DMUs). Not only doing this refutable method rank their relevant performance efficiencies in certain and uncertain conditions, but also it determines efficient target indices for each DMU, and could assure continuous improvement in the organization. This would help managers to identify the areas of strengths and weaknesses in their HSE management system and set improvement target plan for the related HSE management system. In this model based on Deming’s continuous improvement cycle, managers are also able to evaluate the prevailing strengths and weaknesses and target their improvement strategies at the relevant stages of the cycle.