The aim of the project
To maximise the impact of a biogas plant, designers and operators need access to accurate measurements and predictions of methane yield, as well as cheap tools to monitor the reactor in real-time.
The first open data platform on biogas will contribute directly to improved efficiency and finances for biogas plants. The synergies available through open data, increased data mining and real-time monitoring have great potential to increase the production of renewable energy and the reduction of pollution for the benefit of society as a whole.
The project outcome
- An open database with methane yield and kinetics, which gives access to essential data for research, biogas plant design and operation
- Algorithms for the processing of data and the prediction of biogas production and biogas substrate quality from limited information
- Integration of the above-described tools in an interactive online platform that meets the needs of plant foremen, operators, educators and researchers
- Pioneer and explore the potential for breath analysis technology (MCC-IMS), which is currently used by SDU/OUH for non-invasive disease detection (e.g., lung cancer, COPD) to be used in biogas reactor status prediction
- Develop an open data mining platform to accurately and efficiently process biogas plant volatile organic compound (VOC) profiles to predict stability and performance
- To develop new deep learning tools for ABACUS 2.0 to handle the massive big data challenge that occurs with VOC online screening in connection with plant data
Work package leader: Sasha D. Hafner, Associate Professor, SDU Biotechnology, Dep. of Chemical Eng., Biotechnology and Environmental Tech. Partners
Jan Baumbach, Associate Professor, Department of Mathematics and Computer Science.