Publications (Cited by EI)

EI论文46-50


2011-01-26
50 Accession number 20110213577561


 

Prediction of octane number for clean gasoline obtained from secondary reactions based on back-propagation neural network

Journal of Xi'an Jiaotong University20104412):82-86

 

The octane number of gasoline was considered as a function of paraffin lump, naphthalene lump, aromatics lump and olefins lump based on lumping concept for complex reaction kinetics. Back-propagation (BP) neural network and multiple linear regression were adopted to establish prediction models for the research octane number (RON) of clean gasoline obtained from secondary reactions, respectively. The two models were compared and verified via several cases. The results show that BP neural network model exhibits better performance than multiple linear regression model for the higher prediction accuracy due to strong nonlinear mapping ability to reflex the complex relationship between RON and lump components. The mean absolute relative error between predicted gasoline RON and experimental data gets 0.39%, and 0.92% for the reported results.

 

49, Accession number: 20102112958463

Prediction of octane number for clean gasoline obtained from secondary reaction based on LM/SVM approach


Journal of Chemical Engineering of Chinese Universities201024(2): 258-262

Novel LM/SVM approach coupling support vector machine (SVM) with Levenberg-Marquardt (LM) algorithm was proposed and applied in predicting research octane number (RON) of clean gasoline obtained from secondary reactions. The research octane number was considered as a function of saturation lump, olefins lump, and aromatics lump based on the lumping concept for complex reaction kinetics, and the function was expressed by using support vector machine. LM algorithm was adopted here to search parameters of support vector machine and kernel function so as to overcome the difficulty in parameter selection for support vector machine, and the training data were classified into work data and test data so as to avoid over-fitting. Classical test function was adopted to measure the performance of the proposed method. Testing results indicate that both the prediction precision and computation efficiency of LM/SVM method are higher than those of GA/SVM approach. Mean absolute relative error between predicted gasoline RON and the experimental data is 0.71%.

 

 

48 Accession number: 20091211965891


Multiple steady states analysis of reactive distillation process by excess-entropy production (II) analysis of the stability

Using the synthesis of ethylene glycol (EG) from ethylene oxide and water by reactive distillation process as an example, the multiple steady states solutions of the reactive distillation process under definite conditions was obtained. The stability of these solutions was investigated by using the criterion of excess-entropy production, and the causes for the occurrence of multiple steady states were further discussed. The results show that the multiple steady states can be caused by many causes, such as the fluctuation of concentration and temperature, other operation load changing and the characteristic of kinetics. Since the stability criterion of excess-entropy production was deduced from the basic theory of thermodynamics, it accurately reflects the essence of the nonlinearity and irreversibility of the evolvement of the reactive distillation process. Therefore this criterion is accurate enough to be used for the stability evaluation of the multiple steady states solutions obtained above, and it can also be used to analyze the stability of reactive distillation processes other than the EG synthesis process.

 

47 Accession number: 084111633877

Simulation study of FCC light gasoline etherification using a combined method

Lu, Shiqing (Department of Chemical Engineering, Xi'an Jiaotong University); Yang, BolunSource: Huaxue Fanying Gongcheng Yu Gongyi/Chemical Reaction Engineering and Technology, v 24, n 3, June, 2008, p 246-251+276 Language: Chinese

ISSN: 1001-7631 CODEN: HFGGEU

Publisher: Zhejiang University




Abstract: A combined method of pre-reaction with reactive distillation was proposed to improving alkenes conversion. In this novel routine, the operating conditions in pre-reactor were fitted for C 6 etherification, while the operating conditions in reactive distillation unite were fit for C5 etherification. This process was simulated by Aspen Plus 10.2, in which the RadFrac equilibrium stage model was adopted as the reactive distillation model and a kinetics subroutine interface was powered by Visual Fortran 6.5. The UNIF-DMD activity coefficient model was adopted as phase equilibrium model. The thermodynamic properties of related components that can't be found in the Aspen database and literature were estimated by the group contribution methods, and then Gibbs free energy change and equilibrium constant of etherification reactions of each tertiary olefin were obtained. The results of simulation showed that the final olefins volumne fraction in FCC gasoline dropped from 42.40% to 25.40%, while the octane number increased by 2.74 units under the optimized operating conditions. (9 refs.)
; Lei, Zhen; Wu, Jiang; Liu, Dawei

46.Accession number083811568071

Simulation of distillation based on Aspen plus for products from catalytic amination of ethanolamine

Hao, Miao-Li (School of Energy and Power Engineering, Xi'an Jiaotong University); Liu, GongSource: Xiandai Huagong/Modern Chemical Industry, v 28, n 8, August, 2008, p 79-83 Language: Chinese

ISSN: 0253-4320 CODEN: HTKUDJ

Publisher: China National Chemical Information Center


Abstract: Using the simulation software Aspen plus, the distillation process for the products such as ethylenediamine and piperazine from the catalytic amination of ethanolamine is simulated. Based on the consideration of the product properties, the separation route is designed firstly, then using the modules of Flash and DSTWU, to carry out the calculation, the operation parameters such as the reflux ratio, the number of stage and the temperature is obtained. Using the rigorous module of RadFrac, the validity of this process is validated, and the sensitivity analysis is carried out too. NRTL method is adopted in the simulation; the character of Pyrazine is gained through the module of Properties Estimation. The results show that the process is reasonable and it can meet the requirement of products separation, the operational parameters will provide help for the process design and operation. (7 refs.)
; Yang, Bo-Lun; Yang, Jian-Ming; Zhang, Wei; Lu, Jian