摘要
为了对汽油调合的配方计算进行优化,本文首先针对汽油的辛烷值属性提出了基于调合效应的模型,并以此为基础提出离线配方优化的策略和现场实施方案。通过对现场数据的建模,以及与乙基模型进行对比,调合效应模型在精度上有约5%的提高。此外,本文还展示了相应的现场实施结果。结果表明优化算法可对每个批次(约5500吨汽油)的汽油调合提供4.25万元的经济效应,为该炼油装置每年提供约1275万元的经济效益。
In order to optimize the recipe calculation in the gasoline blending process,firstly the octane number model based on the blending effects is proposed.Furthermore,the corresponding optimization strategy and the application scheme are proposed to ease the on-site application.By constructing the octane model with the industrial data,the proposed blending effects model is compared with the traditional Ethyl model,while the results show that the proposed model has better accuracy by around 5%.Moreover,this paper presents the results for the on site application of this model and optimization scheme.The results show that the method in this paper is able to decrease the cost of each batch of the gasoline product (around 5500 ton)by 42.5 thousand RMB,and therefore to provide around 12.75 Million RMB benefit for the refinery annually.
出处
《计算机与应用化学》
CAS
CSCD
北大核心
2010年第10期1317-1320,共4页
Computers and Applied Chemistry
基金
国家863课题(2007AA04Z193)
973课题(2009CB320603)
长江学者和创新团队发展计划资助(IRT0721)
上海市国际科技合作基金项目(08160710500)
高等学校学科创新引智计划资助(B08021)
上海市重点学科建设项目(B504)资助