This article investigates the influence of the property of VGO derived from the Kazakhstan- Russian mixed crude on the hydrocracking catalyst. The influence of reaction temperature, reaction pressure, space velocity a...This article investigates the influence of the property of VGO derived from the Kazakhstan- Russian mixed crude on the hydrocracking catalyst. The influence of reaction temperature, reaction pressure, space velocity and hydrogen/oil ratio on the distribution and quality of products was analyzed with the optimal process regime determined, when the VGO was hydrocracked in the presence of the FC-16 catalyst.展开更多
Research, development and use of biofuels have emerged into focus caused by environmental protection reasons. As biodiesels （fatty acid methyl esters） have many disadvantages, the conversion of vegetable oils to bet...Research, development and use of biofuels have emerged into focus caused by environmental protection reasons. As biodiesels （fatty acid methyl esters） have many disadvantages, the conversion of vegetable oils to better quality fuels is required. One of the possible solutions is the catalytic hydrogenation of vegetable oils mixed with straight run gas oil. During quality improvement of mixtures of rapeseed oil （0, 5, 8, 12, 50 and 100%） and straight run gas oil （sulphur content： 0.95%） on NiMo, P/A12O3 catalyst at different process parameters, it was found that both the deep sulphur and nitrogen removal of gas oil and oxygen removal reactions of triglycerides （hydrogenation, decaboxylation and decarbonylation ways） and in a moderate degree the hydrogenation of aromatics took place. At favourable process parameters （350-360℃; 60 bar; LHSV： 1.5 h^-1; H2/hydrocarbon ratio： 600 Nm^3/m^3） diesel fuel fractions with sulphur and nitrogen content 〈 10 mg/kg and with significantly higher cetane numbers （〉 60-80） than the requirement of the valid standard （minimum 51; EN 590：2009＋A1：2010） were produced. During its application the concentration of sulphur and nitrogen oxides and the particulate matter is clearly lower in the exhaust gas contributing to lower emission and the conversation of the catalytic activity of the after-treatment systems.展开更多
The demand of hydrogen in oil refinery is increasing as market forces and environmental legislation, so hydrogen network management is becoming increasingly important in refineries. Most studies focused on single-obje...The demand of hydrogen in oil refinery is increasing as market forces and environmental legislation, so hydrogen network management is becoming increasingly important in refineries. Most studies focused on single-objective optimization problem for the hydrogen network, but few account for the multi-objective optimization problem. This paper presents a novel approach for modeling and multi-objective optimization for hydrogen network in refineries. An improved multi-objective optimization model is proposed based on the concept of superstructure. The optimization includes minimization of operating cost and minimization of investment cost of equipment. The proposed methodology for the multi-objective optimization of hydrogen network takes into account flow rate constraints, pressure constraints, purity constraints, impurity constraints, payback period, etc. The method considers all the feasible connections and subjects this to mixed-integer nonlinear programming （MINLP）. A deterministic optimization method is applied to solve this multi-objective optimization problem. Finally, a real case study is intro-duced to illustrate the applicability of the approach.展开更多
文摘This article investigates the influence of the property of VGO derived from the Kazakhstan- Russian mixed crude on the hydrocracking catalyst. The influence of reaction temperature, reaction pressure, space velocity and hydrogen/oil ratio on the distribution and quality of products was analyzed with the optimal process regime determined, when the VGO was hydrocracked in the presence of the FC-16 catalyst.
文摘Research, development and use of biofuels have emerged into focus caused by environmental protection reasons. As biodiesels （fatty acid methyl esters） have many disadvantages, the conversion of vegetable oils to better quality fuels is required. One of the possible solutions is the catalytic hydrogenation of vegetable oils mixed with straight run gas oil. During quality improvement of mixtures of rapeseed oil （0, 5, 8, 12, 50 and 100%） and straight run gas oil （sulphur content： 0.95%） on NiMo, P/A12O3 catalyst at different process parameters, it was found that both the deep sulphur and nitrogen removal of gas oil and oxygen removal reactions of triglycerides （hydrogenation, decaboxylation and decarbonylation ways） and in a moderate degree the hydrogenation of aromatics took place. At favourable process parameters （350-360℃; 60 bar; LHSV： 1.5 h^-1; H2/hydrocarbon ratio： 600 Nm^3/m^3） diesel fuel fractions with sulphur and nitrogen content 〈 10 mg/kg and with significantly higher cetane numbers （〉 60-80） than the requirement of the valid standard （minimum 51; EN 590：2009＋A1：2010） were produced. During its application the concentration of sulphur and nitrogen oxides and the particulate matter is clearly lower in the exhaust gas contributing to lower emission and the conversation of the catalytic activity of the after-treatment systems.
基金Supported by the National High Technology Research and Development Program of China （2008AA042902, 2009AA04Z162）, the Program of Introducing Talents of Discipline to University （B07031） and the National Natural Science Foundation of China （21106129）.
文摘The demand of hydrogen in oil refinery is increasing as market forces and environmental legislation, so hydrogen network management is becoming increasingly important in refineries. Most studies focused on single-objective optimization problem for the hydrogen network, but few account for the multi-objective optimization problem. This paper presents a novel approach for modeling and multi-objective optimization for hydrogen network in refineries. An improved multi-objective optimization model is proposed based on the concept of superstructure. The optimization includes minimization of operating cost and minimization of investment cost of equipment. The proposed methodology for the multi-objective optimization of hydrogen network takes into account flow rate constraints, pressure constraints, purity constraints, impurity constraints, payback period, etc. The method considers all the feasible connections and subjects this to mixed-integer nonlinear programming （MINLP）. A deterministic optimization method is applied to solve this multi-objective optimization problem. Finally, a real case study is intro-duced to illustrate the applicability of the approach.
