| 학회 | 한국화학공학회 |
| 학술대회 | 2022년 봄 (04/20 ~ 04/23, 제주국제컨벤션센터) |
| 권호 | 28권 1호, p.786 |
| 발표분야 | [주제 4] 탄소중립(CCUS) |
| 제목 | Multi-objective Bayesian optimization of CO2 reduction and economical in the gasoline synthesis process |
| 초록 | As global warming intensifies, many studies have been conducted to reduce greenhouse gases. As part of this, research on CCU (Carbon Capture and Utilization), which uses CO2 to make other materials, is being actively conducted. In this presentation, we designed a process for producing methanol using CO2 and then synthesizing gasoline. The feed composition and operating temperature and pressure of reactors can affect the economic result and CO2 reduction. The case study was conducted with further variables and it was found that there was a trade-off between the economic feasibility of the whole process and CO2 reduction. To examine this relationship, multi-objective optimization was carried out. Non-dominated sorting genetic algorithm (NSGA 2) and Bayesian algorithm were used in this study. In conclusion, the Pareto front was founded it means there was trade-off between the economic feasibility of the process and CO2 reduction. The result was explained almost by feed composition which means the ratio of dry reforming and steam reforming . |
| 저자 | 정재훈1, 박명준2, 이원보1 |
| 소속 | 1서울대, 2아주대 |
| 키워드 | 공정시스템(Process Systems Engineering) |
| 원문파일 | 초록 보기 |
