Research Updates

Introduction to Bayesian Statistics

A sophisticated numerical model has been developed to simulate the intricate dynamics of anaerobic digestion processes within a reactor. This model meticulously accounts for the complex interplay of microbial communities and biochemical reactions occurring during anaerobic digestion. By incorporating detailed kinetics of substrate degradation and metabolic pathways, the model accurately predicts the production of methane, carbon dioxide, hydrogen sulfide, and other by-products. Additionally, it considers factors such as temperature, pH, and reactor configuration to capture the nuances of real-world anaerobic digestion systems. Through its comprehensive framework, this numerical model serves as a valuable tool for optimizing reactor performance, guiding process design, and advancing our understanding of anaerobic digestion technology.