TECHNOLOGY
Fraunhofer’s smart tech pushes Europe’s biogas sector toward cleaner and more reliable energy
30 Sep 2025

Europe’s biogas sector is adopting artificial intelligence to improve how organic waste is turned into renewable gas, as research bodies and energy operators seek more stable output and lower operating costs.
Fraunhofer IKTS in Germany has developed an AI-based control system that automates feeding and mixing in biogas reactors. By assessing sensor data in real time, the software forecasts how different inputs, including crop residues and food waste, influence gas production and adjusts operating conditions accordingly. Project results indicate higher efficiency, more consistent biomethane volumes and reduced energy losses.
The initiative comes as Europe increases its renewable-gas capacity, with more than 1,600 biomethane plants reported in operation by mid-2025. Governments are pressing to accelerate domestic production, creating demand for digital tools that support more predictable plant performance. One Fraunhofer project lead described the shift as “a shift from traditional engineering to digital intelligence”.
Developers argue the technology helps plants respond quickly to changes in feedstock quality, anticipate equipment failures and limit unplanned stoppages. AI systems also support variable gas output that can be matched to electricity-grid demand, strengthening biomethane’s role in the region’s broader energy portfolio. Such capabilities may help the fuel compete more directly with natural gas in heating, transport and industrial applications.
Adoption, however, is uneven. Many older facilities require upgraded sensors and modern control units before AI tools can be deployed, and operators face growing cybersecurity risks as their networks become more interconnected. Most projects remain in pilot or demonstration phases, although analysts note that efficiency gains may offset upfront investment over time.
As automation gradually extends across the industry, Europe’s biogas operators are moving from largely manual processes to digitally managed systems. The integration of data science into plant operations is expected to support a more adaptable and resilient supply of renewable gas in the years ahead.
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