Analysis of gas dispersion and ventilation within a comprehensive CAD model of an offshore platform via computational fluid dynamics

Maintaining an adequate air flow with a desired air quality that is free from hazardous gases is among the most important actions taken toward the improvement of safety in any process plant. Due to the increased focus on the consequences of existing hazardous material on safety, health, and the environment, air quality and sufficient ventilation within a plant has been increasingly considered in the design stage. This paper investigates and analyzes methane and hydrogen sulfite dispersion and the effect of air ventilation within a CAD model of an offshore platform using computation fluids dynamics (CFD). In addition, this method and its principals could be utilized in any other hazardous environment. Simulations of possible hazardous events along with solutions for preventing or reducing their probability are presented to better assess the data. These investigations are performed by considering hypothetical hazardous scenarios which consist of gas leakages from pipes and process equipment under different conditions. After drafting a precise and highly detailed CAD model of the plant and performing CFD simulations on this model, the results of gas behaviors, dispersion, distribution, accumulation, and its possible hazards are investigated and analyzed. The larger amount of details of the actual plant model in CFD simulation are obtained by using a combination of different methods and software. These include PDMS for 3-D drawing of the plan, Rinoceros for geometrical integration of the process equipment and facilities, and Sharc Harpoon which meshes the model. Moreover, the probability of inducing ignitable or toxic concentration of gases within the atmosphere and air ventilation of the unit is considered by these investigations.     

A new methodology for the synthesis of an optimum flexible water networks

This paper presents a new optimization model for the synthesis of direct reuse/recycle water networks with data uncertainties. In this case, data uncertainties were originated from the varying parameters of the water sources and sinks, which fluctuate within a given range of values. The aim of the method is to design an optimum flexible water network (FWN) that ensures minimum fresh water consumption and yet fulfilling all process constraints and uncertain parameters. The resulting FWN also features the minimum number of pipelines, which will ease process operation and control. Due to the complexity of the problem, multistep solving method based on theorem of corner points has been developed. The FWN obtained using the proposed method also includes information on the maximum flow rate in the pipelines, which is essential for detailed network design stage. The resulting model is a mixed integer linear problem (MILP), which may be solved to obtain global optimum solution. Two case studies were used to elucidate the newly proposed method.     

Methods and models in process safety and risk management: Past,present and future

The paper reviews past progress in the development of methods and models for process safety and risk management and highlights the present research trends; also it outlines the opinions of the authors regarding the future research direction in the field. Based on the open literature published in the leading journals in the field of safety, risk and reliability, the review covers the evolution of the methods and models developed for process safety and risk management. The methods and models are categorized as qualitative, semi-quantitative, quantitative and hybrid. The progress in the last few decades is discussed in the context of the past. Developments in the current decade formulate the basis of the present trends; future directions for research in these fields are also outlined. The aim of the article is to provide a historical development in this field with respect to the driving forces behind the development. It is expected that it will help researchers and industrial practitioners to gain a better understanding of the existing concepts. At the same time the aim is to provide direction to bridge the existing gaps through research and developments.     

Winter survival of microbial contaminants in soil: An in situ verification

The aim of the research was to evaluate, at site scale, the influence of freezing and freeze/ thaw cycles on the survival of faecal coliforms and faecal enterococci in soil, in a climate change perspective. Before the winter period and during grazing, viable cells of faecal coliforms and faecal enterococci were detected only in the first 10 cm below ground, while, after the winter period and before the new seasonal grazing, a lower number of viable cells of both faecal indicators was detected only in some of the investigated soil profiles, and within the first 5 cm. Taking into consideration the results of specific investigations, we hypothesise that the non-uniform spatial distribution of grass roots within the studied soil can play an important role in influencing this phenomenon, while several abiotic factors do not play any significant role. Taking into account the local trend in the increase of air temperature, a different distribution of microbial pollution over time is expected in spring waters, in future climate scenarios. The progressive increase in air temperature will cause a progressive decrease in freeze/thaw cycles at higher altitudes, minimising cold shocks on microbial cells, and causing spring water pollution also during winter.     

大连金州新区并区前后的生态适宜度分析

开发区扩区或与行政区合并是近年来开发区二次创业的发展趋势,有必要对并区前后的土地利用和产业布局合理性进行评估。应用层次分析法和专家打分法分析了大连金州新区并区前后的生态适宜度。结果表明:原金州区的工业区和居住区在合并前后生态适宜度得分从63.75分和60.25分上升到82.75分和85.75分;经济技术开发区工业区和居住区从82.75分和77分上升到82.75分和85.75分。均从不适宜、适宜上升到很适宜。     

生物脱氮组合工艺的研究及应用

为处理高浓度含氮废水,提出生物脱氮组合工艺,首先介绍3种生物脱氮技术原理,同时对其进行比较分析,找出现有技术在实际应用中存在的不足,从而归纳出生物脱氮组合工艺,即"短程硝化+厌氧氨氧化+反硝化"。该组合工艺可去除废水中各种形式的氮,且去除1 mol氨态氮消耗0.75 mol氧气。实际应用中总氮去除率最高可达87.5%,氨氮去除率最高可达91.8%。     

冶炼厂烟化炉煤粉爆炸安全监控研究

在生产过程中，烟化炉常因煤粉量供应过大而在尾气中产生大量ＣＯ，导致爆炸事故的发生。为消除此隐患，在分析事故原因的基础上，设计了烟化炉生产安全监控系统。该系统采用闭环集效控制方式，煤粉的供给量完全由系统自动控制，从而提高了烟化炉生产的安全性。     

A STOCHASTIC DYNAMIC PROGRAMMING MODEL FOR THE OPTIMUM OPERATION OF A MULTI-PURPOSE RESERVOIR1

ABSTRACT: The main objective of this paper is to present a stockastic dynamic programming model useful in determining the optimal operating policy of a single multipurpose surface reservoir. It is the unreliability of forecasting the amount of future streamflow which makes the problem of a reservoir operation a stochastic process. In this paper the stochastic nature of the streamflow is taken into account by considering the correlation between the streamflows of each pair of consecutive time intervals. This interdependence is used to calculate the probability of transition from a given state and stage to its succeeding ones. A dynamic programming model with a physical equation and a stochastic recursive equation is developed to find the optimum operational policy. For illustrative purposes, the model is applied to a real surface water reservoir system.     

垃圾填埋场稳定化研究（Ⅰ）

通过填埋场的实验室规模的模拟实验，研究了负温和低温条件下城市生活垃圾的降解行为。经８个月的阵解，发现含水率、污泥的加入以及高温均有利于位圾降解。菜类垃圾的降解率为５０％以上：而含水率为６０％的混合垃圾，降解率为２０％以下。测定了单位垃圾产生的气体和浸取液量以及浸取液的化学耗氧量、含水率和无机残渣。讨论了本工作在寒区填埋场工艺设计的实践意义。     

危险评价中的数据环境

本文通过分析危险评价的数据来源、数据的准确程度和危险评价模型，论述了数据环境与危险评价的关系，指出了数据的不确切必然会影响到危险评价质量，但应用数据进行危险评价是完全必要的。关键是如何提高数据的精确程度和模型的真实程度，使评价结果更趋准确、可靠。