AI Gets Its Hands Dirty in Biogas

Anessa and Ag-Grid are using AI to make U.S. biogas cleaner, smarter, and more efficient

12 Nov 2025

Artificial intelligence is quietly transforming one of renewable energy’s most overlooked corners: biogas. Once driven by manual monitoring and unpredictable waste inputs, the industry is now embracing data-driven precision that could make organic waste a far more reliable energy source.

Anessa, a company supporting biogas projects across North America, has developed software that models feedstock behavior, forecasts methane yield, and helps plant managers adjust operations on the fly. By creating digital twins of digesters, its system can run simulations that flag inefficiencies before they become costly problems.

At the same time, Ag-Grid Energy is testing new approaches across its network of farm-based plants. Its Lent Hill project in New York, launched in late 2023, turns dairy and food waste into renewable gas that feeds the local grid. The facility also supports digital infrastructure designed to handle edge computing and AI workloads, a glimpse of how energy and technology may increasingly intertwine.

The American Biogas Council says digitalization is reshaping how modern facilities operate, from forecasting maintenance to improving uptime and balancing energy output. The trend could accelerate as more operators seek smarter tools to stay competitive in the renewable market.

Smaller players still face barriers, including the expense of data integration and new hardware. Yet the potential rewards are significant. With sharper monitoring and predictive analytics, AI could help biogas plants capture more energy from the same amount of waste.

As early adopters like Anessa and Ag-Grid lead the charge, they may be laying the groundwork for a smarter, cleaner generation of renewable energy, one where machine learning and microbes work side by side.