Prediction of CO2 capture capability of 0.5 MW MEA demo plant using three different deep learning pipelines

•Machine learning was formulated using plant data obtained from a 1,000-hour operation.•Three DNN pipelines were developed to predict performances of the CO2 capture.•L-DLP showed the optimal performance in terms of accuracy and computational cost.•Result is useful for predicting the CO2 capability...

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Veröffentlicht in:Fuel (Guildford) 2022-05, Vol.315, p.123229, Article 123229
Hauptverfasser: Oh, Dong-Hoon, Dat Vo, Nguyen, Lee, Jae-Cheol, You, Jong Kyun, Lee, Doyeon, Lee, Chang-Ha
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Sprache:eng
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