Optimization Of Catalytic Reforming Process Based On Particle Swarm Optimization And HYSYS

Catalytic reforming is one of the core devices of refining and chemical enterprises.It provides high-octane gasoline support for the upgrade of gasoline standards,provides high-purity hydrogen for various hydrorefining devices,and provides high-purity aromatic hydrocarbon raw materials for various chemical devices.It can be said to be one of the core devices to undertake oil refining and chemical industry.Semi-regenerative and continuous catalytic reforming are two kinds of reforming processes which are the most widely used.These two processes are similar in function but also have their own characteristics.Refineries with two types of devices are common.However,at present,most of the optimization work for raw materials between the two types of reformers is difficult to quantify and the errors are difficult to control.In order to explore the simple,effective,and easy-to-promote raw material distribution optimization method between the two types of reformers,research on the optimization of the two types of reformer materials distribution was carried out from three levels.1.The existing PIMS catalytic reforming Delta-Base model can achieve optimization of feedstock distribution under fixed operating parameters.However,this model only uses single factors such as total aromatic latent content or aromatic index of raw materials are used as the evaluation criteria for catalytic reforming.Using the idea of simulation-based optimization,an optimization strategy is proposed: the opportunity price difference method.Taking the optimization of raw material distribution among semi-regeneration and continuous reformers as an example,a 50-lumped kinetic model of catalytic reforming was built based on the HYSYS.Use this model to calculate the basic data required by the PIMS Delta-Base model and the opportunity price difference method.the technical and economic comparison of the optimization results of the two strategies.After that,the technical and economic analysis of the optimization results of the two strategies is carried out.At the same time,MATLAB was used to call the HYSYS reactor model and particle swarm optimization was used to verify the optimal solution of raw material allocation.The results show that under the conditions of fixed operating parameters,the solution given by the opportunity price difference method is the same as the optimal solution of the particle swarm algorithm.Its optimization benefit is 250% higher than the PIMS method,accounting for the total The profit ratio is 2.3%.Through the analysis of the optimization results,it is found that the opportunity price difference method can simultaneously consider the impact of multiple factors such as the reformed raw material aromatics index and the raw material carbon number distribution on the product distribution,and provide more reasonable optimization results for the two types of reformed raw material optimization.It also provides direction for the improvement of the PIMS Delta-Base model.2.In order to obtain the optimal solution in a wider range,the reactor operating parameters are included in the optimization range.Calling HYSYS semi-regeneration and continuous reforming reactor through MATLAB,taking the amount of catalyst carbon deposit and catalyst circulation rate as the limiting equation,taking the maximum profit as the objective function,using particle swarm optimization to optimize the raw material distribution ratio and reactor operating parameters.The optimization results show that the optimal raw material distribution method under new conditions will change under the influence of operating conditions.The optimization benefits under the new distribution method are more obvious than the basic operating conditions.It proves the effectiveness of this method in the catalytic reforming system.3.In order to explore the effect of the pre-hydrogenated naphtha fractionation tower cut point on the optimization of raw material distribution in the production process,the pre-hydrogenated naphtha fractionation tower cut point was included in the optimization scope.A rectification model is added to the HYSYS reactor model,given the total amount of raw materials,the total cut-off amount of the semi-regenerative-continuous reforming naphtha fractionation tower,and the feed amount of the two types of reformers.Taking the maximum profit as the objective function,the particle swarm optimization algorithm is used to integrate and optimize the reaction and distillation process.The optimization results show that the optimal raw material distribution method will also change under the new conditions.The optimization benefits under the new distribution method are more obvious than the basic operating conditions.It promotes the further application of the optimization method combining HYSYS and particle swarm optimization in the catalytic system.