| 학회 |
한국화학공학회 |
| 학술대회 |
2019년 가을 (10/23 ~ 10/25, 대전컨벤션센터) |
| 권호 |
25권 2호, p.1322 |
| 발표분야 |
공정시스템 (Process Systems Engineering) |
| 제목 |
Modelling of NOx emission of a Circulating Fluidized Bed (CFB) boiler with ANN using real operational data |
| 초록 |
Due to the ever-increasing demand for electricity globally, there is a need for technologies that can match up in supply. CFB boiler is one of the advanced technologies with that capability due to its wide fuel flexibility and environmentally friendliness compared to other technologies. However, it comes with NOx emission which has very complex kinetics to be well modelled by process computational tools. As a result, a data-driven approach based on ANN is employed in this study. The model developed learns the underlying complexities of this emission using the real operational data of a 500 MW plant and thus represent the true behaviour of the CFB boiler. A prediction error of less than 2.5% was obtained which is an acceptable range in operations and hence can be used in controlling the emissions. |
| 저자 |
Adams Derrick1, Kingsley Etornam Anku1, Nguyen2, Gbadago Dela Quarme1, 오 민1
|
| 소속 |
1한밭대, 2연세대 |
| 키워드 |
화학 및 생물공정; 공정모델링; 공정모사; 공정 이론
|
| E-Mail |
|
| VOD |
VOD 보기 |
| 원문파일 |
초록 보기 |
