| 학회 | 한국화학공학회 |
| 학술대회 | 2017년 봄 (04/26 ~ 04/28, ICC 제주) |
| 권호 | 23권 1호, p.183 |
| 발표분야 | 공정시스템 |
| 제목 | 자동차배출 PAH의 동적다매체모델기반 다변량 변수해석 및 인체 위해성 연구 |
| 초록 | EQC-Level III model is an over-parameterized system, which is difficult to estimate the accurate of the large-scale complex model. The aim of this study is to calibrate the EQC-Level III model and grouped the model parameters. Firstly, the Monte-Carlo simulation are used to generate random samples with random combination of model parameters. Then, the parameter subset selection based on statistical methodology was carried out. The principle component analysis (PCA), factor analysis (FA) and partial least square (PLS) methods are used to find the correlation between the model parameters in the multidimensional aspect. The results show that both three statistical methods can group the model parameters and the most effective kinetic parameters are found against the chemical concentration in each compartment. This work was supported by a grant from the National Research Foundation of Korea (NRF) funded by the Korean government (MSIP) (No. 2015R1A2A2A11001120). |
| 저자 | Li Qian, 이승철, 이가희, 유창규 |
| 소속 | 경희대 |
| 키워드 | 공정모델링 |
| 원문파일 | 초록 보기 |
