TY - JOUR
T1 - In-situ biogas upgrading process: modeling and simulations aspects
AU - Lovato, Giovanna
AU - Alvarado-Morales, Merlin
AU - Kovalovszki, Adam
AU - Peprah, Maria
AU - Kougias, Panagiotis
AU - Rodrigues, José Alberto Domingues
AU - Angelidaki, Irini
PY - 2017
Y1 - 2017
N2 - Biogas upgrading processes by in-situ hydrogen (H2) injection are still challenging and could benefit from a mathematical model to predict system performance. Therefore, a previous model on anaerobic digestion was updated and expanded to include the effect of H2 injection into the liquid phase of a fermenter with the aim of modeling and simulating these processes. This was done by including hydrogenotrophic methanogen kinetics for H2 consumption and inhibition effect on the acetogenic steps. Special attention was paid to gas to liquid transfer of H2. The final model was successfully validated considering a set of Case Studies. Biogas composition and H2 utilization were correctly predicted, with overall deviation below 10% compared to experimental measurements. Parameter sensitivity analysis revealed that the model is highly sensitive to the H2 injection rate and mass transfer coefficient. The model developed is an effective tool for predicting process performance in scenarios with biogas upgrading.
AB - Biogas upgrading processes by in-situ hydrogen (H2) injection are still challenging and could benefit from a mathematical model to predict system performance. Therefore, a previous model on anaerobic digestion was updated and expanded to include the effect of H2 injection into the liquid phase of a fermenter with the aim of modeling and simulating these processes. This was done by including hydrogenotrophic methanogen kinetics for H2 consumption and inhibition effect on the acetogenic steps. Special attention was paid to gas to liquid transfer of H2. The final model was successfully validated considering a set of Case Studies. Biogas composition and H2 utilization were correctly predicted, with overall deviation below 10% compared to experimental measurements. Parameter sensitivity analysis revealed that the model is highly sensitive to the H2 injection rate and mass transfer coefficient. The model developed is an effective tool for predicting process performance in scenarios with biogas upgrading.
KW - Biogas upgrading
KW - Hydrogenotrophic methanogens
KW - Mathematical modeling
KW - Sensitivity analysis
U2 - 10.1016/j.biortech.2017.08.181
DO - 10.1016/j.biortech.2017.08.181
M3 - Journal article
C2 - 28898828
SN - 0960-8524
VL - 245
SP - 332
EP - 341
JO - Bioresource Technology
JF - Bioresource Technology
IS - Part A
ER -