| Method of Selecting Active Parameters Using Sensitivity Analysis and Linear Programming | |
Li YJ(李昱君); Zhang TC(张泰昌) ; Fang, Yunming; Fan XJ(范学军)
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| Corresponding Author | Zhang, Taichang([email protected]) |
| Source Publication | COMBUSTION SCIENCE AND TECHNOLOGY
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| 2023-10-20 | |
| Pages | 17 |
| ISSN | 0010-2202 |
| Abstract | 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. |
| Keyword | Active parameter sensitivity analysis linear programming selection method chemical kinetic model |
| DOI | 10.1080/00102202.2023.2270146 |
| Indexed By | SCI ; EI |
| Language | 英语 |
| WOS ID | WOS:001085798900001 |
| WOS Keyword | UNCERTAINTY QUANTIFICATION ; MODEL ANALYSIS ; AUTO-IGNITION ; HIGH-PRESSURE ; COMBUSTION ; OPTIMIZATION ; MINIMIZATION |
| WOS Research Area | Thermodynamics ; Energy & Fuels ; Engineering |
| WOS Subject | Thermodynamics ; Energy & Fuels ; Engineering, Multidisciplinary ; Engineering, Chemical |
| Funding Project | 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 |
| Funding Organization | 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 |
| Classification | Q3 |
| Ranking | 1 |
| Contributor | Zhang, Taichang |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://dspace.imech.ac.cn/handle/311007/93235 |
| Collection | 高温气体动力学国家重点实验室 |
| Recommended Citation GB/T 7714 | Li YJ,Zhang TC,Fang, Yunming,et al. Method of Selecting Active Parameters Using Sensitivity Analysis and Linear Programming[J]. COMBUSTION SCIENCE AND TECHNOLOGY,2023:17.Rp_Au:Zhang, Taichang |
| APA | 李昱君,张泰昌,Fang, Yunming,&范学军.(2023).Method of Selecting Active Parameters Using Sensitivity Analysis and Linear Programming.COMBUSTION SCIENCE AND TECHNOLOGY,17. |
| MLA | 李昱君,et al."Method of Selecting Active Parameters Using Sensitivity Analysis and Linear Programming".COMBUSTION SCIENCE AND TECHNOLOGY (2023):17. |
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| Jp2023Fa311.pdf（3807KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Download | |
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