| 초록 |
A linear regression model was suggested to estimate and predict the CO2 reforming of CH4 in a coaxial dielectric barrier discharge reactor immersed in an oil bath. The model had input parameters as predictor variables (applied voltage, ratio of CH4/CO2, and total flow rate in the feed), output parameters as observed variables, the molar flow rates of reactants (CH4, CO2, CO, H2, and by-products), and energy efficiencies. More than 70% of the output parameter variance could be explained by the input parameter. Therefore, the model would be useful to optimize the experiments in the reaction between of CO2 and CH4 by a dielectric barrier discharge reactor. |
