(188u) Comparative Genomic Analysis for Two Methanothermobacter Species Isolated from the Reactor for Thermophilic and Hydrogenotrophic Bio-Methanation of CO2 | AIChE

(188u) Comparative Genomic Analysis for Two Methanothermobacter Species Isolated from the Reactor for Thermophilic and Hydrogenotrophic Bio-Methanation of CO2

Authors 

Jeon, B. S. - Presenter, Hanyang University
Sang, B. I. - Presenter, Hanyang University
Hong, M., Hanyang University
Ju, K., Hanyang University
Han, S. M., Hanyang University
Kim, H., Hanyang University
Choi, O., Hanyang University
Hydrogenotrophic methanogenesis (HM) has recently gained significant attention due to its potential as a CO2 utilization process. The low temperature and pressure operating conditions required as well as the inexpensiveness of the microbial catalyst make the biological synthesis of CH4 from CO2 an attractive alternative to conventional biogas upgrading methods. Furthermore, the conversion of excess renewable electricity to methane (Power to Gas) has the potential to resolve many of the current inadequacies of existing power back up technologies, such as storage capacity, cost and geographical limitations and support renewable energy developments in terms of minimizing power curtailment and facilitating wider deployment of renewable energy generation in regions with limited electricity grid availability. To investigate the biomethanation of CO2 sludge from wastewater treatment plant in Seoul, Korea was inoculated into the HM bioreactor and the reactor was operated at 60 ℃ with supply of CO2 and H2 (1:4) for 7 months. Conversion efficiency for CO2 into CH4 has increased to 60% and CH4 production rate increased to 2.5 VVD. From the reactor, two Methanothermobater species were isolated and evaluated for methane production performance. Both strains were cultivated well into basic anaerobic medium containing CO2/H2 and produced methane gas using CO2 as a sole carbon. Whole genomes of two strains analyzed by pyrosequencing method showed the obvious difference on genetic levels.