TY - GEN
T1 - Artificial neural network model for water gas shift reaction in a dense Pd-Ag membrane reactor
AU - Bagnato, G.
AU - Liguori, S.
AU - Iulianelli, A.
AU - Curcio, S.
AU - Basile, A.
PY - 2015
Y1 - 2015
N2 - The water gas shift reaction was studied in membrane reactors for training an artificial neural network model. In particular, we have lead experiment varying many parameters as the reaction pressure, reaction temperature, gas hourly space velocity, sweep gas flow rate, H2O/CO feed molar ratio and feed configuration have been considered from both a modelling and an experimental point of view in order to analyze their influence on the water gas shift performance in two membrane reactors. Meanwhile, the artificial neural network model has been validated by using experimental tests as training results and it was validated whit a new data set, obtained optimizing the system to achieve as much as possible high hydrogen recovery. The model predicted the experimental performance of the water gas shift membrane reactors with an error on CO conversion lower than 0.5% and around 10% for the H2 recovery.
AB - The water gas shift reaction was studied in membrane reactors for training an artificial neural network model. In particular, we have lead experiment varying many parameters as the reaction pressure, reaction temperature, gas hourly space velocity, sweep gas flow rate, H2O/CO feed molar ratio and feed configuration have been considered from both a modelling and an experimental point of view in order to analyze their influence on the water gas shift performance in two membrane reactors. Meanwhile, the artificial neural network model has been validated by using experimental tests as training results and it was validated whit a new data set, obtained optimizing the system to achieve as much as possible high hydrogen recovery. The model predicted the experimental performance of the water gas shift membrane reactors with an error on CO conversion lower than 0.5% and around 10% for the H2 recovery.
UR - http://www.scopus.com/inward/record.url?scp=84994579936&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84994579936
T3 - Proceedings of the 6th European Fuel Cell - Piero Lunghi Conference, EFC 2015
SP - 363
EP - 364
BT - Proceedings of the 6th European Fuel Cell - Piero Lunghi Conference, EFC 2015
A2 - Barchiesi, Chiara
A2 - Chianella, Michela
A2 - Cigolotti, Viviana
PB - ENEA
T2 - 6th European Fuel Cell Technology and Applications Conference - Piero Lunghi Conference
Y2 - 16 December 2015 through 18 December 2015
ER -