摘要
汽油吸附脱硫(S-Zorb)装置是我国催化裂化汽油的主要脱硫装置之一。针对S-Zorb工业模型缺乏,实验室模型无法预测产品油辛烷值等问题,作者提出了一种基于过程机理的反应器建模方法。该方法将催化裂化汽油划分为5个集总,在集总基础上构建了反应动力学模型、辛烷值关联模型等。另外,针对传统群优化算法参数估计耗时长的缺点,提出了一种改进的鲸群算法,并成功应用于S-Zorb模型。通过与工业数据对比验证结果表明,所提模型能够有效地预测脱硫率、辛烷值等关键指标,从而为后续的优化生产提供基础。
Gasoline adsorption desulfurization units(S-Zorb)are one of the main devices for FCC(fluid catalytic cracking)gasoline desulfurization in China.However,S-Zorb lacks industrial prediction models and laboratory models cannot predict product octane number.A reactor model based on process and mechanism was developed by dividing the catalytic cracking gasoline into five lumps.The reaction kinetics model and octane correlation model were constructed based on these lumps.In addition,an improved whale algorithm was proposed to overcome the disadvantages of traditional group optimization algorithm,and was successfully applied for the S-Zorb model.The proposed model was compared with industrial data and the results show that it can effectively predict key indexes such as desulfurization rate and octane number.Therefore,the model provides a new method for the optimization of S-Zorb production.
作者
贾华宇
杜文莉
范琛
杨明磊
JIA Hua-yu;DU Wen-li;FAN Chen;YANG Ming-lei(Key Laboratory of Advanced Control and Optimization for Chemical Process, Ministry of Education,East China University of Science and Technology, Shanghai 200237, China)
出处
《高校化学工程学报》
EI
CAS
CSCD
北大核心
2018年第6期1395-1402,共8页
Journal of Chemical Engineering of Chinese Universities
基金
国家自然科学基金重大项目(61590923)
国家自然科学基金(61422303
61590922)
中央高校基本科研业务费专项基金(222201717006)
关键词
S-Zorb
脱硫率
辛烷值
参数估计
鲸群算法
S-Zorb
desulfurization rate
octane number
parameter estimation
whale optimization algorithm
