Integrated Optimization Of Refinery Oil Blending And Catalytic Cracking

With the progress of social technology,environmental issues become increasingly prominent,especially in recent years,the haze problem becomes more and more serious.Therefore,as a vehicle to become the most important means of transport,exhaust emission targets more stringent.In 2017,China’s automotive gasoline and diesel implement the national V emission standards,the indicators such as sulfur content are more stringent.Gasoline and diesel acquire from the refinery oil blend,and as the refinery’s most important technical and economic sources,upgrading the quality of gasoline and diesel products would make the blending face more severe challenges.Since twenty-first Century,the oil refining gets into the era of meager profit,blending as the last step of refined products,aims at meeting the requirements of the products.At the same time,its purpose is acquiring the best technical economy.As the most important product of refinery,the research of gasoline blending is more and more concerned.Catalytic cracking unit is the main source of component,the status is self-evident in the refinery.The catalytic cracking unit is divided into three parts: reaction and regeneration system,fractionation system and absorption stabilization system.Among them,the reaction and regeneration system directly determines the distribution and quality of products.The fractionation system and absorption stabilization system are the separation of products.It mainly influences the energy using of the whole process.This paper bases on the Aspen HYSYS 21 lumped kinetic model and strict rectification model,simulating the whole process of 650 thousand tons / year catalytic cracking,and optimizing the reaction and regeneration system.This paper finds out the optimum reaction temperature,feedstock preheating temperature,reaction pressure,recycle ratio,in order to create suitable gasoline resources scene for gasoline blending section.The yield of light oil increases from 83.47% to 85.65%.This paper sets up a gasoline blending NLP model,which optimizing the refinery gasoline blending and scheduling on the basis of the operating scenario,based on Aspen MBO.First of all,we do not consider the blending scheduling,and optimize the recipe of multi gasoline blending,this is a planning blending problem.The optimization results can be applied to the scene of the rich component resources and the refinery production planning model.Second,consider the blending scheduling,optimizing the recipe of multi gasoline blending,compared to the scene of operating conditions,the blending economy increases by 1.26%,this is a operational blending problem.Finally,combined with component resources which come from the optimization of catalytic cracking,we use blending model to optimize the recipe of the multi gasoline blending,bringing out the optimization of blending and catalytic cracking simultaneously.Compared with the operating conditions,the blending economy increases by 1.79%.