Connect plant data
Combine substrate, gas, pressure, storage, temperature and energy data consistently over time.
Backes combines biological process dynamics, gas storage, pressure control, heat input and energy generation in a continuously reconciled plant model. This turns reactive operation into predictive process control.
Patent application filed
Between substrate input and usable gas formation lie reactions distributed over time. Their duration and intensity change with composition, temperature, biological activity and the current operating state.
Classical operating strategies often react only after pressure, storage level or measured gas flow have already changed. As a result, gas production, storage, heat demand and energy use are often coordinated only after the fact.
The method links biological gas formation, gas network, storage, CHP and heat management. Decisions are therefore not only based on the current measured value, but also on the expected development of the overall system.
The digital process model represents the time-dependent gas-formation dynamics and is continuously reconciled with real measurements. Forecast and plant state therefore remain consistently linked.
Combine substrate, gas, pressure, storage, temperature and energy data consistently over time.
Account for delays and time-distributed reactions of the biological process in the model.
Predict expected gas availability as well as possible storage and operating states.
Derive coordinated setpoints for CHP, pressure control, heat and feed.
The analysis connects biological, hydraulic and energy-related variables. This makes relationships, forecast deviations and trade-offs between gas utilization, heat demand and operational safety more transparent.
The specific value depends on plant configuration, data quality, storage size and operating strategy and is evaluated on a project-specific basis.
Expected gas formation becomes visible before pressure or storage level have already started to rise.
Power scheduling can be aligned more closely with expected gas supply and heat demand.
Predictive measures can help avoid critical storage and pressure situations.
Comparing model and measurements makes changing process conditions more traceable.
A patent application has been filed with the German Patent and Trade Mark Office for the method for controlling and actuating a digestion plant with gas storage and energy utilization. The approach combines gas-formation forecasting, storage and pressure development, and energy use in a coordinated process control concept.
We review existing data, time dynamics and the coupling between digestion, gas storage, heat demand and energy utilization.