4.7 Article

Application of evaporation cooling in a microstructured packed bed reactor for decentralized CO2 methanation

Journal

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
Volume 46, Issue 38, Pages 19971-19987

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijhydene.2021.03.050

Keywords

Power-to-Gas; Decentralization; Evaporation-cooling; Carbon dioxide methanation; Transient operation; Temperature control

Funding

  1. German Ministry for Education and Research (BMBF) within the KOPERNIKUS Project Power2X (P2X) [03SFK2K0]
  2. INERATEC GmbH

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This work aims to analyze the performance of an advanced packed-bed reactor with evaporation cooling structure and high reactant throughput, utilizing pressurized water as the cooling medium. The study evaluates the reactor performance under various process conditions and investigates the influence of feed throughput and composition on reactor operation. The modelling results successfully predict experimental data regarding temperature profiles and product compositions.
The objective of this work is the detailed analysis of the performance of an advanced packed-bed reactor with evaporation cooling structure and 1.5 (STP) m(3) h(-1) reactant throughput. Application of pressurized water as the cooling medium enables stable reactor operation within a safe temperature window at extremely high space-time yield (similar to 1000 m(CH4)(3)/m(reactor)(3)h, similar to 18,000 m(CH4)(3)/m(reaction-volume)(3)h). The performance of the reactor regarding its axial temperature profile and product quality under different process conditions such as water coolant flow rate distribution and pressure in cooling passages is evaluated in detail. The feed throughput and composition influence on reactor performance during start-up, steady-state and transient operational conditions for a technical methanation plant are investigated. For reactor description purposes and computing the heat transfer coefficient, a cascade model of perfectly mixed CSTRs is implemented. The modelling results predict the experimental data very well regarding the temperature profile and product composition. (C) 2021 Published by Elsevier Ltd on behalf of Hydrogen Energy Publications LLC.

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