Design of Experiment Techniques for Analyzing the Reaction Conditions of a Methanol Steam Reforming Process

• Main Authors: Syu,Guo-Jhen, 徐國楨
• Other Authors: Chiu,Yu-Jen
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/35078628939969002371

碩士 === 臺北城市科技大學 === 機電整合研究所 === 103 === The effects of various reaction conditions on a methanol steam reforming (MSR) process were analyzed in this thesis by adopting design of experiment (DOE) techniques. The controlling factors considered are the length and the temperature of the catalyst bed, the steam-to-carbon ratio and the space velocity of the feedstock, and the catalyst loading within the MSR reactor. The performance indices to be analyzed are the methanol conversion, the hydrogen production rate, the CO concentration in the produced mixture, and the ratios of the hydrogen production rate to the methanol feed rate and the catalyst loading, respectively. The major objective is to analyze the holistic influences and the individual significance of the aforementioned reaction conditions on the defined MSR performance indices. A portion of this work was fulfilled by introducing Taguchi tecnniques. An L18 orthogonal array was employed accompanying two levels of the length of the catalyst bed and three levels of the other four controlling factors. Based on the experimental results, the optimal combinations of the five controlling factors were verified with respect to each of the MSR performance indices. The analysis of variance (ANOVA) was performed to evaluate the significance of each controlling factor. In addition, the confidence intervals were also predicted to verify the feasibility of the obtained optimal reaction conditions. It suggests that temperature is the most significant factor that positively correlates the defined performance indices. The performance of a MSR reactor can be enhanced by raising the reacting temperature. Nonetheless, the CO concentration in the produced mixture is also increased. According to the present work, the effects of the reaction conditions on a MSR process can be analyzed simultaneously meanwhile the optimal combination of the concerned controlling factors can be obtained.