Method of Selecting Active Parameters Using Sensitivity Analysis and Linear Programming
Li, Yujun2,3; Zhang, Taichang2,3; Fang, Yunming1; Fan, Xuejun2,3
刊名COMBUSTION SCIENCE AND TECHNOLOGY
2023-10-20
页码17
关键词Active parameter sensitivity analysis linear programming selection method chemical kinetic model
ISSN号0010-2202
DOI10.1080/00102202.2023.2270146
通讯作者Zhang, Taichang(taichang@imech.ac.cn)
英文摘要It is necessary to select appropriate active parameters to ensure both the accuracy and computation efficiency before the global analysis of chemical kinetic model. This paper proposes a new method for selecting the active parameters on the base of the combination of sensitivity analysis and linear programming. Compared with the usual methods for selecting active parameters, such as the local sensitive analysis, the characteristics of the proposed method is preliminary visualization of the possible influence of the selected active parameters on the model outputs in the process of parameter selection, ensuring the reliability of the selected active parameters. Considering the computation efficiency, the number of selected active parameters can be controlled in a suitable size through combining with dichotomy or other screening techniques. In the study, the pre-exponential factors of the Arrhenius equations in the USC-Mech II model were considered as the candidate parameters and the uncertainties of the pre-exponential factors were set. Taking the ignition of ethylene for example, the 10 reactions that can increase the ignition time of ethylene under a wide range of conditions with equivalence ratio of 1, 0.1 similar to 1 MPa and 1000 K similar to 1500 K were successfully selected using the proposed method. Then, the 10 active parameters were tested in each condition. The results showed that the selected active parameters can make the ignition delay time close to the target for each condition, which reflects the reliability of active parameter selection.
资助项目This work was sponsored by the Science and Technology Innovation Special Zone Project and the Strategic Priority Research Program of Chinese Academy of Sciences (Grant No. XDA17030100), and National Key Project (Grant No. GJXM92579). ; Science and Technology Innovation Special Zone Project[XDA17030100] ; Strategic Priority Research Program of Chinese Academy of Sciences[GJXM92579] ; National Key Project
WOS关键词UNCERTAINTY QUANTIFICATION ; MODEL ANALYSIS ; AUTO-IGNITION ; HIGH-PRESSURE ; COMBUSTION ; OPTIMIZATION ; MINIMIZATION
WOS研究方向Thermodynamics ; Energy & Fuels ; Engineering
语种英语
WOS记录号WOS:001085798900001
资助机构This work was sponsored by the Science and Technology Innovation Special Zone Project and the Strategic Priority Research Program of Chinese Academy of Sciences (Grant No. XDA17030100), and National Key Project (Grant No. GJXM92579). ; Science and Technology Innovation Special Zone Project ; Strategic Priority Research Program of Chinese Academy of Sciences ; National Key Project
内容类型期刊论文
源URL[http://dspace.imech.ac.cn/handle/311007/93234]  
专题力学研究所_高温气体动力学国家重点实验室
通讯作者Zhang, Taichang
作者单位1.Beijing Univ Chem Technol, Natl Energy R&D Res Ctr Biorefinery, Dept Chem Engn, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Sch Engn Sci, Beijing, Peoples R China
3.Chinese Acad Sci, State Key Lab High Temp Gas Dynam, Inst Mech, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Li, Yujun,Zhang, Taichang,Fang, Yunming,et al. Method of Selecting Active Parameters Using Sensitivity Analysis and Linear Programming[J]. COMBUSTION SCIENCE AND TECHNOLOGY,2023:17.
APA Li, Yujun,Zhang, Taichang,Fang, Yunming,&Fan, Xuejun.(2023).Method of Selecting Active Parameters Using Sensitivity Analysis and Linear Programming.COMBUSTION SCIENCE AND TECHNOLOGY,17.
MLA Li, Yujun,et al."Method of Selecting Active Parameters Using Sensitivity Analysis and Linear Programming".COMBUSTION SCIENCE AND TECHNOLOGY (2023):17.
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