Design And Application Of Gasoline Blending System

As a final part of gasoline production, gasoline blending process will directly affect the quality of petroleum products and economic benefits.The octane number property of gasoline product has a nonlinear blending effect. After the comprehensive analysis of various existing prediction model, a blending effect model is proposed, which is based on the field blending experience that the octane number of different components often shows additional positive effects or negative effects to the final property in addition to the linear part. Furthermore, the proposed model and the traditional Ethyl model are constructed from the on-site blend data. The results show that the proposed model has a higher accuracy and applicability.The gasoline blending is a complex nonlinear process because of the mentioned nonlinear blending effects of octane number and the use of additives. Traditional planning methods are powerless in solving such problems. Particle swarm optimization(PSO) as a swarm intelligence optimization methods, makes the problem solved, but PSO prone to premature convergence in dealing with complex high dimensional function optimization. A novel hybrid particle swarm optimization algorithm merging crossover mutation and chaos(CMCPSO) is proposed. The main approaches include using chaos strategy to initiate positions and velocities of all particles in the design space, introducing crossover operation in each interation to increase the diversity of particles, breaching the restrictions of local optimization points with a new chaotic disturbance mechanism and mutation operation during the later computation period. The simulation results of four standard test functions show that CMCPSO has a fast convergence rate and effective global optimization ability.Based on the proposed model and CMCPSO, combined with Dynamic real-time optimization technology, proportional control technology, real-time database technology, and data monitoring technology, a user-friendly gasoline blending software for offline tank blending and online pipeline blending is developed on the application development platform of vs2005, win32. The blending data of 93 gasoline is collected in an refinery for vertifying the effectiveness of the developed blending system. The simulation of 10 batches and the field blending application of 11 batches show that the manganese additive amount, the properties excess and the blending cost can be reduced by the offline optimized recipes. Finally, the online pipeline blending process is simulated, the blending product is met national quality standard, and the key indicators octane number and vapor pressure are just sutible.