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Model-based control for a demand-driven biogas production to cover residual load rises
Lena Peters1, Piotr Biernacki2, Ward Quaghebeur3
1Department of Technology, University of Applied Sciences Emden/Leer, Constantiaplatz 4, 26723, Emden, Germany. lena.peters@hs-emden-leer.de.
Bioprocess and Biosystems Engineering
|August 4, 2019
Summary
Flexible biogas plant operation is achievable through optimized dynamic modeling and a PI-controlled feeding strategy. This approach ensures reliable energy production from various substrates to meet demand.
Area of Science:
- Biotechnology and Bioengineering
- Renewable Energy Systems
- Process Engineering
Background:
- Transitioning to renewable energy necessitates advanced energy storage and demand-driven production systems.
- Biogas plants play a crucial role in managing residual load and integrating renewable energy sources.
Purpose of the Study:
- To analyze the flexible operation of biogas plants for demand-driven energy production.
- To optimize the Anaerobic Digestion Model No. 1 (ADM1) for accurate process simulation.
- To develop a feeding strategy for biogas plants to meet specific energy demands.
Main Methods:
- Application of a dynamic process model based on the Anaerobic Digestion Model No. 1 (ADM1).
- Analysis of various substrates using batch fermentation and Weende/van Soest methods.
- Optimization of the ADM1 model and development of a PI-controller-based feeding algorithm.
Main Results:
- Substrates exhibit distinct degradation kinetics and biogas potentials.
- The optimized ADM1 model accurately simulates biogas plant processes.
- Calculated feeding strategies enable biogas plants to meet defined energy demands.
Conclusions:
- Flexible operation of biogas plants is feasible with a tailored feeding strategy.
- Dynamic process modeling and control are key to optimizing biogas production for energy demands.
- This approach supports the integration of biogas into the broader renewable energy landscape.
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