Table 2.
Summary of latest studies on biogas production from anaerobic digestion
| Research focus | Process | Generated product | Study scale/type | Advantages | Limitations | Source |
|---|---|---|---|---|---|---|
| Production of hydrogen assists with biochar and activated char | Catalytic methane decomposition | Hydrogen | Lab/experimental scale | Increase methane conversion rate | Rapid blockages of active sites and surfaces of biochar and activated char can cause a rapid decline in methane conversion | (Patel et al. 2020) |
| Increasing anaerobic digestion efficiency using biochar | Anaerobic digestion | Methane | Experimental | Increase the production of digestion gas | Controlled conditions | (Shin et al. 2022) |
| Optimal technology selection for the biogas upgrading to biomethane | Biogas upgrading to biomethane | Methane | Desk-top modelling | The developed model can determine the optimal technology and operational conditions | Conceptual optimal design | (Martín-Hernández et al. 2020) |
| Thermal hydrolysis process as pre-treatment for electricity generation | Pre-treatment using thermal hydrolysis process for anaerobic digestion | Biogas | Pilot and demonstration scale | Increase the biogas conversion rate | Anaerobic digestion requires pre-defined feeding schedules | (Lafratta et al. 2020) |
| Predict anaerobic digestion performance using machine learning algorithms | Model development | Methane | Desk-top modelling | Accurate prediction of digester performance using machine learning algorithms | Small dataset of this study | (Freund et al. 2020) |
| Improve plant performance and biogas production | Optimisation of nitrogen removal | Biogas | Desk-top modelling/concept study | A range of scenarios are considered with potential | The concept of shifting aerobic to anaerobic sludge stabilisation needs to be tested for the specific case | (Vergara-Araya et al. 2022) |
| Estimation of biogas production | using data-driven approaches to optimise energy generation | Biogas | Desk-top modelling | The most accurate model was established | Models need to be developed using the specific conditions | (Asadi et al. 2020) |
| System optimisation for effective hydrogen production | Anaerobic digestion and biogas steam reforming | Hydrogen | Experimental | Increased biogas production | The reforming catalyst with resistance to sintering | (Park et al. 2020) |
| Energy recovery | Anaerobic digestion of algal biomass from integrated with microalgae/constructed wetland wastewater treatment | Methane | Pilot study | Promising electric energy generation potential | Need to test the proposed technology with different native species from diverse regions | (Silveira et al. 2023) |
| Estimation of the electrical energy produced by energy recovery | Model development | Biogas | Desk-top modelling | Electrical energy is predicted using only 3 parameters (gas flow, conductivity, and TSS) | Errors in the prediction need to be reduced | (Kerem and Yuce 2023) |