PREDICTION OF BIOGAS YIELD FROM ANAEROBIC DIGESTERS USING META-REGRESSION

The production of biogas in wastewater treatment plants (WWTPs), often considered critical facilities, is a significant element of energy and environmental security. Given increasing demands to reduce greenhouse gas emissions and the pursuit of energy self-sufficiency, the role of biogas in the energy sector keeps steadily growing, granting it strategic potential. In Poland and other European Union countries, biogas production is supported by policies promoting renewable energy sources, enhancing its importance in the energy transition process. This study analyses biogas yields and their impact on achieving energy and environmental security goals. Additionally, the use of meta-regression methods and machine learning aims to improve biogas yield prediction based on a range of process parameters.