Process Modeling And Optimization For Industrial-scale Oxygen-production By Pressure Swing Adsorption

Due to the low energy consumption,simple construction and convenient operation,VPSA has been successfully applied to industrial production,and the effectiveness of this process has been universally recognized.On account of the complexity of the principle of pressure swing adsorption and there is a corresponding coupling relationship between the various operating variables of VPSA and the relationship between different variables is synergistic or inhibitory.Most of the research institutions can find out a better and satisfactory process only through a large number of experiments and experiences.With the perfection of adsorption theory,the improvement of computer simulation calculation level,the model of dynamic simulation is established in software?Aspen adsorption?and the effects of structural parameters and operating parameters on product purity,recovery rate and energy consumption can be investigated by simulation calculation.The required design plan can provide guidance for experiment and design,which can greatly shorten the investment.When simulating and analyzing the influence of M parameters,N values are usually selected for each parameter,and M^N combinations will be formed.The number of computation is especially large.The optimization calculation method is adopted to give the variation range of the variable,and the optimum process is found by optimizing the process flow by using the r-SQP optimization algorithm.The energy consumption and the output are optimized to find the most economic value production process,that is,the existing industrial PSA process can be upgraded,and the flow of the new project can also be flow.A guide to the design of the process is made.A two-bed,six-step vacuum pressure swing adsorption?VPSA?process using LiLSX zeolite for industrial-scale 80%oxygen production with rapid cycling and check valves was investigated by dynamic mathematical simulation and optimization.Without changing the structural parameters of the devices and the purity of oxygen limit is not lower than 80%,the operating variables were optimized to achieve the purpose of minimum power consumption and maximum yield,which can maximize the devices'potential performance for various production requirements.After calculation,the minimum power consumption was reduced from 0.313 to 0.289kWh?Nm^-3 O₂,meanwhile,the productivity fell from 106.42 to 93.75 Nm³?h^-1?ton^-1.In the maximum productivity case,a high productivity of O₂ was achieved(117.87Nm³?h^-1?ton^-1),but the power consumption rose to 0.324 kWh?Nm^-3 O₂.A subsequent analysis was carried out to provide insights into these observations and compare the impact of the decision variables on the process.