Published January 24, 2018 | Version publisher
Journal article Open

Kinetics, multivariate statistical modelling, and physiology of CO2-based biological methane production

  • 1. Archaea Physiology & Biotechnology Group, Archaea Biology and Ecogenomics Division, Department of Ecogenomics and Systems Biology, Universität Wien, Wien, Austria
  • 2. Krajete GmbH, Linz, Austria

Description

Conversion of surplus electricity to chemical energy is increasingly attracting attention. Thereof, biological
energy conversion and storage technologies are one of several viable options. In this work, the inherent challenges
faced in analyzing the CO2-based biological methane production (CO2-BMP) process for energy conversion
and storage are discussed. A comprehensive assessment of key process parameters on several CO2-BMP
process variables was conducted. It was found that literature data often misses important information and/or the
required accuracy for resolution of the underlying mechanistic effects, especially when modelling reactor dependent
variables. Multivariate dependencies inherently attributable to gas-to-gas conversion bioprocesses are
particularly illustrated with respect to CO2-BMP. It is concluded that CO2-BMP process modelling requires the
application of process analytical technology. The understanding of the CO2-BMP mechanistic process is discussed
to assist with the analysis and modelling of other gas-to-gas conversion processes. The findings presented in this
work could aid in establishing a biotechnology-based energy to gas conversion and storage landscape.

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Funding

CELBICON – Cost-effective CO2 conversion into chemicals via combination of Capture, ELectrochemical and BI-ochemical CONversion technologies 679050
European Commission