[Madiha]

Adding more to the above conversation (to keep track of it here):

Anessa’s AI-powered biological and digestate modelling offers a comprehensive, data-driven approach to understanding the core biological processes within biogas production. By simulating the conditions inside the digester, this functionality allows operators to model microbial activity, nutrient flows, and the composition of digestate under various scenarios.

The platform helps predict how factors like feedstock type, temperature, and pH can affect the microbial community and overall biogas yield. By accurately forecasting how changes in feedstock or digester conditions might impact both gas production and digestate quality, Anessa ensures plant operations are continuously optimized for maximum efficiency and sustainability.

Additionally, the digestate modeling component aids in maintaining the nutrient balance by simulating the nutrient content of digestate, helping operators avoid common issues like nutrient imbalances that could affect plant performance or the potential reuse of digestate in agriculture. This AI-driven functionality empowers operators to anticipate potential disruptions, adjust processes proactively, and ensure long-term operational stability in biogas production.