大气硝基苯标准曲线绘制方法的改进

标准曲线绘制时,各浓度点都要取过滤液2.0ml,此操作繁琐、费时。现改成取过滤液5.0ml,用10ml比色管进行分析,得到操作简便和省时的效果。另外,对调pH值方法、显色反应水温的操作也作了改进。     

企业系统化安全管理的主要问题及成因分析

针对系统化安全管理实践中存在着安全管理体系建立的模板化、安全管理体系运行的形式化、安全管理体系持续改进的无效化等问题,提出要提高安全管理绩效,首先纠正企业对系统化安全管理的认知偏差,统一企业不同管理层次的认识;其次是用正确的安全管理方法论作指导,开展系统化安全管理实践;三是匹配企业安全管理实践与系统化要求,发挥和协调不同管理主体的参与,对危险源进行动态化管理,有效实施绩效监测与改进。总之,企业系统化安全管理不能作为单纯的一项工作或任务来完成,必须以解决企业的具体安全生产问题为目标;系统化安全管理是一个持续优化的动态过程,既要把握安全管理系统化的要求,也要有效开展安全管理系统化实践。     

流化床垃圾焚烧炉工艺改进的探讨

对流化床垃圾焚烧炉的工艺改进进行了分析 ,在焚烧炉内更有利于脱除酸性气体 ,当垃圾热值达 4 5 0 0kJ/kg时 ,部分吹入氧气可使燃烧温度达 1 30 0℃以上。用空心球代替流动砂可以取消流动砂的循环环节     

改善深圳河水质的补水方案及生态影响初步分析

深圳河旱季天然径流量小而污染负荷高,为了改善河流水质,在削减入河污染物的同时有必要采取补水措施。利用水质模型,计算了不同污水处理率下,分别以污水资源化再生水、珠江口海水和大鹏湾海水为补水水源时,深圳河达到基本不黑臭所需的补水量。讨论了补水方案对河流水质、盐度、水动力条件的改变及其对生态系统的影响。研究表明,引海水对河流生态系统的冲击不容忽视。而污水资源化是较优的补水方案。     

COD测定方法的发展与研究动态

本文较为全面地论述了COD测定方法的发展与研究现状。在论述了国标中COD标准方法不足之处的基础上,本文就标准方法的众多改进措施分类进行了比较与探讨,包括消解方法的改进、替代催化剂的研究以及氯离子干扰的消除,然后介绍了相关系数法、电化学法、分光光度法和流动注射法等COD测定替代技术。本文认为,研究试剂用量少、无污染的绿色COD测定方法具有重要而积极的意义,而研究适应性强、运行可靠、性价比高的COD在线监测仪则是COD监测的发展趋势。     

某铁矿安全避险六大系统建设实例研究与分析

对所负责参与的某铁矿安全避险六大系统建设的实例进行研究与分析。针对系统运行期间发现的问题和不足,提出相关的应对改进措施。     

Villains,victims, and heroes: Accounting for the roles human activity plays in LOPA scenarios

When a team is analyzing a LOPA scenario, the team needs to consider all three roles played by human interaction in the scenario: that of cause, as a result of human error; that of receptor, both in terms of safety impacts (inside the fence line) and community impacts (outside the fence line); and that of independent layer of protection (IPL), considering both administrative controls and human responses. Frequently, the nature of these three roles are inter-related, and setting guidance that is internally consistent is important to using LOPA to assess risk rather than as a means to game the analyses to simply achieve a wished-for result.A number of criteria have been proposed to quantify human involvement, typically as cause, as receptor, or as IPL. Establishing a framework to look at all three in a unified way is more likely to result in analyses that are consistent from scenario to scenario.This paper describes such a framework and presents it in a way that allows organizations to review their own criteria for quantifying human involvement in LOPA. It also examines some of the published LOPA criteria for human involvement and looks at them in terms of consistency of approach between evaluation of cause, receptor, and IPL. Finally the paper makes suggestions to use in calibrating LOPA methodologies to achieve consistent and believable results in terms of human interaction within and between scenarios that have worked for other organizations.     

Requirements for improved process hazard analysis (PHA) methods

In order to develop better process hazard analysis (PHA) approaches, weaknesses in current approaches first must be identified and understood. Criteria can then be developed that new and improved approaches must meet. Current PHA methods share common weaknesses such as their inability specifically to address multiple failures, their identification of worst-consequence rather than worst-risk scenarios, and their focus on individual parts of a process. There has been no comprehensive analysis of these systemic weaknesses in the literature. Weaknesses are identified and described in this paper to assist in the development of improved approaches. Knowledge of the weaknesses also allows PHA teams to compensate for them to the extent possible when performing studies.Key criteria to guide the development of improved methods are proposed and discussed. These criteria include a structure that facilitates meaningful brainstorming of scenarios, ease of understanding and application of the method by participants, ability to identify scenarios efficiently, completeness of scenario identification, exclusion of extraneous scenarios, ease of updating and revalidating studies, and ease of meeting regulatory requirements. Some proposals are made for moving forward with the development of improved methods including the semi-automation of studies and improvements in the training of team members.     

Optimization of HSE in maintenance activities by integration of continuous improvement cycle and fuzzy multivariate approach: A gas refinery

Gas refineries have been continuously focusing on Health, Safety and Environment programs to improve maintenance activities. Several researches have studied on this area with different analysis methods. This study presents an integrated approach for optimization of factors contributing to the implementation of Health, Safety and Environment (HSE) in maintenance activities. HSE managers in each sector answered standard questionnaire whit respect to HES. The methodology is based on fuzzy data envelopment analysis (FDEA) and Deming's continuous improvement cycle. Also, this method is used to rank the relevant performance efficiencies in certain and uncertain conditions of each HSE sectors whit considering HSE in maintenance activities. It corresponds and integrates its registered HSE-MS with OHSAS 18001:2007 and ISO 14001:2004 to evaluate multiple inputs and outputs of over 36 subsidiary HSE divisions with parallel mission and objectives simultaneously. Also, it determines efficient target indices and could assure continuous improvement in the organization. This is the first study that introduces an integrated approach to improve HSE management programs in a gas refinery by a robust and continuous improvement approach.     

Targeting for optimal grid-wide deployment of carbon capture and storage (CCS) technology

Carbon capture and storage (CCS) techniques are considered as one of the promising approaches to reduce carbon dioxide (CO₂) emissions from fossil fuel based power generation, which still accounts for a significant portion of greenhouse gas emissions in the world. CCS technology can be used to mitigate greenhouse gas emissions, with the additional advantage that it allows continuing use reliable and inexpensive fossil fuels. However, CCS retrofit entails major capital costs as well as a reduction of overall thermal efficiency and power output. Thus, it is essential for planning purposes to implement the minimal extent of CCS retrofit while meeting the specified carbon emission limits for the power sector. At the same time, it is necessary to plan for compensatory power generation capacity to offset energy losses resulting from CCS retrofit. In this paper, an algebraic targeting technique is presented for planning of grid-wide CCS retrofits in the power generation sector with compensatory power. The targeting technique is developed based on pinch analysis. In addition, the proposed methodologies are illustrated through case studies based on grid data in India and the Philippines. Sensitivity analysis is carried out to determine the suitable CCS technology and compensatory power source which satisfy emission limits.