Response Surface Optimization of Hydrogen‐Rich Syngas Production by Greenhouse Gases Reforming

Abstract

The effect of process interaction and response surface optimization of hydrogen‐rich syngas production by catalytic carbon dioxide (CO2) reforming of methane (CH4) was evaluated. The Box‐Behnken design was applied to investigate the influence of CH4 partial pressure, CO2 partial pressure, and temperature on the hydrogen yield. The analysis of variance indicated that temperature and CH4 partial pressure had the most significant impact on the hydrogen yield. Under optimum conditions a maximum hydrogen yield of 71.38 % was achieved. Model validation with the ideal conditions confirmed close agreement of the predicted hydrogen yields with experimental values.

Optimization of Dry Reforming of Methane over a Ni/MgO Catalyst Using Response Surface Methodology

“…where Y is the response variable, X i and X j are the input coded values of the variables that affect the response variable, and e represents the random error or uncertainties between predicted and measured values, k is the number of variables, and b 0 , b i , b ii , and b ij are the regression constants of intercept, linear, quadratic, and interaction terms, respectively [36]. The robustness of data fitting is examined by analysis of variance (ANOVA) [34]. Tab.…”

“…Regression Thermodynamically, DRM is an endothermic reaction whereby thermal energy is required for the occurrence of the reaction [25,[34][35][36]. Tab.…”

“…5 demonstrates that the input parameters of reaction temperature, feed ratio, and their quadratic terms as well as their interaction in addition to the quadratic terms of GHSV influence the H 2 yield. The increase of reaction temperature and the decrease of CO 2 /CH 4 molar ratio have significant impacts on hydrogen production as evidenced by the p-value and P eff since hydrogen production during DRM mainly takes place from methane cracking as the temperature of the reaction increases [34,36].…”

“…This method is difficult, time-consuming, and may not reflect the actual conditions. The use of statistical methods for optimizing natural gas reforming processes has recently attracted several authors who employed design of experiment (DoE) and response surface methodology (RSM) to investigate the optimum conditions required for obtaining maximum hydrogen and syngas yield from DRM [30][31][32][33][34][35][36][37]. RSM requires fewer experimental runs designed so as to give maximum information about the effect of process parameters on the response variables as well as their interaction.…”

Selection of State Equation and Innovative Process Design for Removing CO2 by Azeotropic Distillation

“…Carbon dioxide (CO 2 ) emission from the burning of fossil fuels is a major contributor to global climate change 1, 2. Carbon capture and storage (CCS) is a key technology to limit the impact of anthropogenic CO 2 emissions in power generation and industry 3, 4.…”