An application of the particle swarm optimization on the gasoline blending process

Abstract

In this paper, an optimization strategy on the basis of the particle swarm optimization (PSO) method is proposed to determine the optimal recipe offline for the gasoline blending process. An octane number model is proposed for optimization. Furthermore, the proposed strategy has been applied onsite at a gasoline production line in Nanjing, China. The results show that the optimized recipes are able to improve the first-time success rate for the blending process and significantly decrease the quality giveaways and blending cost. The stability of the gasoline production has been improved as well. © 2011 Springer-Verlag.