汽油在线调合配方优化技术研究进展  

Research progress on optimization technology of gasoline on-line blending formula

作　　者：张立博 张蕾[1] 王雁君[1] 邱建章[1] 房韡[1] Zhang Libo;Zhang Lei;Wang Yanjun;Qiu Jianzhang;Fang Wei(Sinopec Research Institute of Petroleum Processing,Beijing 100083,China)

机构地区：[1]中国石化石油化工科学研究院,北京100083

出　　处：《石油化工》2021年第8期855-861,共7页Petrochemical Technology

摘　　要：从调合规则和调合模型求解两方面阐述了汽油在线调合配方优化技术的研究进展。辛烷值非线性调合作为调合规则的核心,从半经验半机理模型向机器学习模型和分子水平模型拓展。汽油在线调合配方优化实质上为复杂约束非线性规划问题求解全局最优解的过程,从传统求解方法发展到群体智能等多种算法求解。精准调合规则和模型优化求解仍是在线调合技术的核心竞争力和发展方向。The development of optimization technology for gasoline on-line blending formula was described from the two aspects of blending rules and blending model solution.The non-linear octane model,which is the core of blending rules,has developed from a semi-empirical and semimechanical model to the machine learning model and the molecular level model.The gasoline on-line blending formula optimization is essentially a process of solving the global optimal solution of complex constrained nonlinear programming problems,which has evolved from traditional solution methods to swarm intelligence and other algorithms.Accurate models and model optimization solutions are still the core competitiveness and development direction of on-line blending technology.

关 键 词：汽油 在线调合 辛烷值 配方优化 求解方法 

分 类 号：TE626.21[石油与天然气工程—油气加工工程]