| 학회 |
한국화학공학회 |
| 학술대회 |
2017년 가을 (10/25 ~ 10/27, 대전컨벤션센터) |
| 권호 |
23권 2호, p.1536 |
| 발표분야 |
공정시스템 |
| 제목 |
Modeling and Simulation of Molten Carbonate Fuel Cell processes |
| 초록 |
Various models for molten carbonate fuel cell (MCFC) processes are presented and evaluated in this work. The necessity of this work arose from the need for identification of a comprehensive model that can be used in the model-based control of the MCFC plant. In this work, both a rigorous model based on mass and energy balances and implicit models based on operation data are presented. In particular, auto-regressive moving average (ARMA) and artificial neural network (ANN) model for a MCFC system are developed based on input–output operating data. Among these models, the ARMA model showed the best agreement with plant operation data. |
| 저자 |
김태영1, 김범석2, 진일봉2, 박태창2, 여영구2
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| 소속 |
1포스코에너지 / 한양대, 2한양대 |
| 키워드 |
공정모델링; 공정제어
|
| E-Mail |
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| 원문파일 |
초록 보기 |
