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

Autor(en)

Simon Karl-Maria Rasso Rittmann, Arne Seifert, Sebastian Bernacchi

Abstrakt

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.

Organisation(en)

Externe Organisation(en)

Krajete GmbH, Austria

Journal

Applied Energy

Band

216

Seiten

751-760

Anzahl der Seiten

10

ISSN

0306-2619

DOI

https://doi.org/10.1016/j.apenergy.2018.01.075

Publikationsdatum

04-2018

Peer-reviewed

Ja

ÖFOS 2012

209002 Bioprozesstechnik

Schlagwörter

ASJC Scopus Sachgebiete

Mechanical Engineering, Energy(all), Management, Monitoring, Policy and Law, Building and Construction

Link zum Portal

https://ucris.univie.ac.at/portal/de/publications/kinetics-multivariate-statistical-modelling-and-physiology-of-co2based-biological-methane-production(060e500f-6b3a-4c13-b077-ffbf1bdbecab).html