文献类型：会议论文

英文题名：An Application of the Particle Swarm Optimization on the Gasoline Blending Process

作者：Cheng, Hui[1];Zhong, Weimin[1];Qian, Feng[1]

机构：[1]E China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China

会议论文集：International Conference on Applied Informatics and Communication (ICAIC 2011)

会议日期：AUG 20-21, 2011

会议地点：Xian, PEOPLES R CHINA

语种：英文

外文关键词：Particle Swarm Optimization; Octane Number; Ethyl Model; Gasoline Blending

摘要：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.