A novel MINLP-based representation of the original complex model for predicting gasoline emissions

The Environmental Protection Agency (EPA) introduced Reformulated Gasoline (RFG) requirements as a measure to reduce emissions from gasoline-powered vehicles in certain geographic areas. As part of this effort, the EPA developed empirical models for predicting emissions as a function of gasoline properties and established statutory baseline emissions from a representative set of gasolines. All reformulated gasoline requires certification via this model, known as the Complex Model, and all refiners and importers calculate emissions performance reductions from the statutory baseline gasoline. The current representation of the Complex Model is extremely difficult to implement within refinery operations models or to use in combination with models for designer gasoline. RFG and boutique fuels are key driving forces in the North American refining industry.The RFG models introduce increasingly complex constraints with the major limitation that they are implicitly defined through a series of complicated disjunctions assembled by the EPA in the form of spreadsheets. This implicit and cumbersome representation of the emissions predictive models renders rigorous optimization and sensitivity analysis very difficult to address directly. In this paper, we discuss how the federal government requirements for reformulated gasoline can be restated as a set of mixed-integer nonlinear programming (MINLP) constraints with the aid of disjunctive programming techniques. We illustrate the use of this model with two simple example fuel blending problems.     

我国车用无铅汽油的质量状况及分析

对1998－2001年间生产领域和流通领域的近500批次汽油产品检验数据进行了总结和分析，表明我国汽油的实物质量正在不断提高，但从环保要求出发还需不断向国际水平靠扰，尤其应进一步降低烯烃含量，硫含量。     

Carbonaceous adsorbents from sewage sludge and their application in a combined activated sludge-powdered activated carbon (AS-PAC) treatment

In this study, waste biological sludge is converted to an adsorbent by chemical activation with sulphuric acid. The adsorbent obtained is then applied to the aerated vessel of an activated sludge process treating glucose and phenol to improve the quality of the treated effluent. The sludge-based carbonaceous adsorbent was found to be mesoporous in nature, with a good adsorption capacity for large molecular weight compounds and limited removal efficiency for smaller molecules such as phenol. The addition of carbon, either sludge-based or commercial, enhanced phenol removal from 58% to 98.7% and from 87% to 93% the organic matter removal as measured by the chemical oxygen demand (COD) when operated with feed concentrations of 100 mg phenol/l and 2500 mg COD/l. No differences were found between the activated sludge-activated carbon bench scale continuous reactors operating with either commercial or sludge-based adsorbents in spite of the higher adsorption capacity of the former. It is suggested that powdered adsorbent bioregeneration in the combined AS-PAC system may be impaired by the obstruction of pores due to bacterial growth, the effect being more important for the commercial activated carbon with a narrower pore size distribution.     

A kinetic model for polystyrene (PS) pyrolysis reaction

A mathematical model for the pyrolysis reaction of polystyrene (PS) in a semi-batch reactor has been presented. The thermal degradation of PS was flexibly modeled by a combination of random and specific chain-end scissions. Numerical simulation was used to investigate the effect of operating conditions on the PS products spectrum, the results of which were validated by the experimental data. It was found that as the reaction temperature increased (decreased), the monomer fraction in the products became lower (higher) while the trimer higher (lower). No significant variation in the product composition was, however, observed while constant temperature was maintained. These results indicate the reaction temperature is an effective manipulated variable for the control of products composition of PS pyrolysis. The calculation of the optimum temperature trajectories through the optimization study can thus be of interest for achieving productivity enhancement in plastics pyrolysis processes. This paper is dedicated to Professor Dong Sup Doh on the occasion of his retirement from Korea University.     

THERMAL REGENERATION OF ACTIVATED CARBONS

The thermal regeneration of activated carbons loaded with p-nitrophenol (PNP) and other aromatic compounds was studied using a thermal balance. After pyrolysis of the adsorbates in nitrogen at 700°C, the residues were gasified with oxygen at 415 to 500°C or with steam at 840 to 920°C. Residues from PNP were several times more reactive to oxygen than the base carbons and also showed greater chemisorption of oxygen. For steam gasification, only small differences between spent and fresh carbons were found.     

利用C_5开发叔戊基甲醚

介绍了利用C_5生产汽油抗爆剂叔戊基甲醚的工艺进程。其中KOCH公司开发的催化蒸馏工艺是目前最先进的工艺。我国当前尚未有工业化生产叔戊基甲醚的装置。利用流化催化裂化C_5生产叔戊基甲醚是急待开发的课题。     

乙烯装置裂解气分馏及冷却的模拟计算

对于含有众多复什碳氢化合物的裂解汽油、裂解柴油和裂解燃料油等宽馏分以及氢、轻烃、大量水分的裂解气，采用虚拟组分以减少组分总数、用惰性气体描述水在烃类中的相行为，以物流混合和闪蒸过程组成一个闪蒸平衡级，并以逐级闪蒸计算来描述乙烯装置的裂解气分馏塔。     

燃料乙醇发展现状和前景展望

介绍了国内外燃料乙醇的发展现状以及我国对于发展燃料乙醇的相关政策,从成本、原料、粮食安全、市场及经济性方面进行了分析,建议应借助人大立法,保证燃料乙醇推广的顺利进行;政府应制定补贴、免征税收等政策并及时落实;积极推进燃料乙醇新技术的开发工作;扩大燃料乙醇应用范围,推进燃料乙醇的应用进程;开展乙醇化工的研究。     

电控汽油机怠速模糊RBF神经网络控制

针对电控汽油机怠速控制要求,提出了一种模糊径向基函数(RBF)神经网络控制方案,在MATLAB环境下进行了控制仿真,获得了比PID、模糊、模糊BP神经网络更好的控制性能。     

汽油在线优化调合系统实践

为了保证汽油调合辛烷值的准确性,在减少辛烷值浪费的同时应避免因辛烷值低于标准值而造成质量事故。参考国内外汽油在线优化调合的各种技术方案,设计了一种适合中国国情的汽油在线优化调合控制系统。经中石化天津和洛阳炼油厂应用证明,系统很好地解决了调合过程中的辛烷值控制及优化问题,取得了较好的经济效益。