Kinetic modeling of methanol synthesis from renewable resources

被引：82

作者：

Seidel, C. ^{[1
]}

Joerke, A. ^{[1
]}

Vollbrecht, B. ^{[3
]}

Seidel-Morgenstern, A. ^{[1
,2
]}

Kienle, A. ^{[1
,2
]}

机构：

[1] Otto von Guericke Univ, Univ Pl 2, D-39106 Magdeburg, Germany

[2] Max Planck Inst Dynam Komplexer Tech Syst, Sandtorstr 1, D-39106 Magdeburg, Germany

[3] Siemens AG Engn & Consulting, Ind Pk Hochst B598, D-65926 Frankfurt, Germany

来源：

CHEMICAL ENGINEERING SCIENCE | 2018年 / 175卷

关键词：

Methanol synthesis; Renewable resources; Reaction kinetics; Parameter identification; OPTIMUM REFERENCE TEMPERATURE; SYNTHESIS CATALYSTS; ARRHENIUS EQUATION; DYNAMICAL CHANGES; ACTIVE-SITE; CO2; ZNO; REPARAMETERIZATION; MORPHOLOGY; GAS;

D O I：

10.1016/j.ces.2017.09.043

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

In the present paper new detailed kinetic model for the methanol synthesis from H-2, CO2 and/or CO using a Cu/ZnO/Al2O3 catalyst is proposed. In contrast to most established models different active surface species for CO and CO2 hydrogenation are taken into account. It is shown that changes in the relative amounts of these different surface species, which are related to changes in catalyst morphology, play an important role for the dynamic transient behavior. The model is therefore suitable for evaluating new applications in chemical energy storage, where strongly varying ratios of CO and CO2 are of relevance. The model parameters were fitted to steady state and dynamic experimental data for varying CO/CO2 feed ratios using global optimization. Identifiability is studied using the Profile-Likelihood method giving rise to a reduced kinetic model. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：130 / 138

页数：9

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