Journal
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
Volume 48, Issue 2, Pages 553-565Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijhydene.2022.09.237
Keywords
Ethanol steam reforming; Green hydrogen; Dielectric barrier discharge; Response surface methodology; Process optimization
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This study investigates the production of hydrogen (H2) through ethanol steam reforming (ESR) in a dielectric barrier discharge (DBD) plasma reactor. A response surface methodology (RSM) was used to evaluate the effects of discharge power, total flow rate, and ethanol-to-water (EtOH/H2O) molar ratio on the plasma-assisted ESR reaction. The results showed that the EtOH/H2O molar ratio had the most significant effect on EtOH conversion and H2 selectivity, while the total flow rate determined the specific energy requirement (SER) for H2 production. Process optimization resulted in the identification of the optimal conditions for the ESR reaction.
This work investigates ethanol steam reforming (ESR) to produce hydrogen (H2) in a dielectric barrier discharge (DBD) plasma reactor. A five-level, three-factor experiment design was performed using a response surface methodology (RSM) to evaluate the combined effects of the three process parameters, including discharge power, total flow rate, and ethanol-to-water (EtOH/H2O) molar ratio on the plasma-assisted ESR reaction. Quadratic regression models were employed in RSM to fit the experimental results and present the correlation between process parameters and targeted responses (EtOH conversion, H2 yield, H2 selectivity, and specific energy requirement (SER) for H2 production). The results suggested that the EtOH/H2O molar ratio is considered to have the most significant effect on the EtOH conversion and H2, H2 selectivity, while the total flow rate is the most significant parameter determining SER for H2 production. Process optimization demonstrated the optimal process conditions, including a discharge power of 55.9 W, a total flow rate of 26.7 ml/min, and an EtOH/H2O molar ratio equal to 0.34. A validation test was performed and confirmed the feasibility of the optimization process.(c) 2022 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
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