Simulation And Optimization Of Petroleum Distillation Column

Petroleum is the largest share in the energy consumption structure and also a kind of non-renewable energy resource. Since the electrical revolution in the beginning of20century, invention of the internal combustion engine and development of automobile industry make the demand for gasoline, diesel and other fuel oil increase rapidly. As an important chemical raw material and fuel resource, petroleum consumption increases quickly, however the proved oil reserve almost remain the same. Lubricating oil, fuel, rubber, fertilizer, plaster etc. that is the product of petroleum refinery is more and more involving in national economy as the developing of petroleum deep process. Therefore, the design and optimization of crude oil atmospheric and reduced distillation column, which consumes the highest energy and produces the largest product in crude oil refinery, becomes very important. An exact and fast distillation column is the basis of exact petroleum design, model reference control and process simulation.In this paper, based on the Morris-Svrcek non-equilibrium tray model (MS model), a formula of heat transfer that is similar to mass transfer equation in MS model has been inferred, which is transformed from differential equation to algebraic equation, and thus increase the computing speed. Trays with different separation efficiency can be simulated by simply adjusting the mass transfer and heat transfer coefficient. Combined with simplified crude oil narrow cut equations of state, a fast crude oil distillation column simulation can be realized.Using PPSO as optimization algorithm and taking atmospheric distillation column steady state operational optimization as example, the influence of different group schemes in PPSO has been discussed and the comparison among SQP, CPSO and PPSO has been done, the result shows that the PPSO is more excellent. After that, PPSO is applied to adjusting prefractionator dynamic model’s coefficient and the result manifests that precision of prefractionator simulation has been improved after optimization.