TY - JOUR
T1 - Meta-analysis of biogas upgrading to renewable natural gas through biological CO2 conversion
AU - Rao, Yue
AU - Chibwe, Kaseba
AU - Mantilla-Calderon, David
AU - Ling, Fangqiong
AU - He, Zhen
N1 - Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/11/10
Y1 - 2023/11/10
N2 - Biogas upgrading through CO2 conversion by hydrogenotrophic methanogenesis is receiving an increasing attention worldwide because of the demand for renewable natural gas. Herein, a holistic and statistical study of the operation conditions, driving forces, performances, and potential implementation of biogas upgrading via biological CO2 conversion was conducted. Based on a systematic review and meta-analysis of 46 existing publications that were selected from 1475 papers, we have compiled a global dataset of CO2 bioconversion biogas upgrading, encompassing 308 study cases. Subsequently, we employed a rigorous analytical framework incorporating data processing and mixed effects linear regression analysis to examine the dataset. This analysis revealed a significant positive relationship between the H2:CO2 ratio and the methane percentage in the upgraded biogas when using the study as a random effect. Furthermore, we performed meta-analysis on observations taken when the ratio was close to 4:1 and found that ex situ reactors (91.93% [88.11%, 95.75%]) can perform better than in situ reactors (84.74% [80.69%, 88.80%]). No evidence of differential performance was found based on the present dataset between different temperature regimes or operation modes. Those findings establish a database that will contribute to a deeper understanding of the biogas upgrading via biological CO2 conversion.
AB - Biogas upgrading through CO2 conversion by hydrogenotrophic methanogenesis is receiving an increasing attention worldwide because of the demand for renewable natural gas. Herein, a holistic and statistical study of the operation conditions, driving forces, performances, and potential implementation of biogas upgrading via biological CO2 conversion was conducted. Based on a systematic review and meta-analysis of 46 existing publications that were selected from 1475 papers, we have compiled a global dataset of CO2 bioconversion biogas upgrading, encompassing 308 study cases. Subsequently, we employed a rigorous analytical framework incorporating data processing and mixed effects linear regression analysis to examine the dataset. This analysis revealed a significant positive relationship between the H2:CO2 ratio and the methane percentage in the upgraded biogas when using the study as a random effect. Furthermore, we performed meta-analysis on observations taken when the ratio was close to 4:1 and found that ex situ reactors (91.93% [88.11%, 95.75%]) can perform better than in situ reactors (84.74% [80.69%, 88.80%]). No evidence of differential performance was found based on the present dataset between different temperature regimes or operation modes. Those findings establish a database that will contribute to a deeper understanding of the biogas upgrading via biological CO2 conversion.
KW - Biogas upgrading
KW - Biomethane
KW - CO bioconversion
KW - Hydrogenotrophic methanogenesis
KW - Meta-analysis
KW - Renewable natural gas
UR - http://www.scopus.com/inward/record.url?scp=85173220887&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2023.139128
DO - 10.1016/j.jclepro.2023.139128
M3 - Review article
AN - SCOPUS:85173220887
SN - 0959-6526
VL - 426
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 139128
ER -