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A comparative study of models for molten carbonate fuel cell (MCFC) processes

Title
A comparative study of models for molten carbonate fuel cell (MCFC) processes
Author
여영구
Keywords
Molten Carbonate Fuel Cell; ARMA Modeling; Partial Least Squares; Artificial Neural Network; Least-squares Support Vector Machine
Issue Date
2017-07
Publisher
KOREAN INSTITUTE CHEMICAL ENGINEERS
Citation
KOREAN JOURNAL OF CHEMICAL ENGINEERING, v. 34, no. 7, page. 1952-1960
Abstract
The necessity of this work arose from the need for identification of a comprehensive plant model that can be used in the model-based control of the MCFC plant. Various models for molten carbonate fuel cell (MCFC) processes are presented and evaluated in this paper. Both a rigorous model based on mass and energy balances and implicit models based on operation data were investigated and analyzed. In particular, auto-regressive moving average (ARMA) model, least-squares support vector machine (LSSVM) model, artificial neural network (ANN) model and partial least squares (PLS) model for a MCFC system were developed based on input-output operating data. Among these models, the ARMA model showed the best agreement with plant operation data.
URI
https://link.springer.com/article/10.1007%2Fs11814-017-0117-yhttps://repository.hanyang.ac.kr/handle/20.500.11754/114898
ISSN
0256-1115; 1975-7220
DOI
10.1007/s11814-017-0117-y
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > CHEMICAL ENGINEERING(화학공학과) > Articles
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