11–13 October 2022

Early detection of digester process disruptions using AI based on process expertise of the digester biology
She is data scientist with four years of professional experience working on the development of digital products for biogas and waste-to-energy plants. Her work experience started in the field of control systems through an internship where she developed applications for HVAC (Heating, Ventilation and Air Conditioning) controllers. She discovered her passion for data science during her Master’s studies, when she had the opportunity to work on several projects involving data processing and analysis. She joined Kanadevia Inova in 2021 as a data scientist after completing her MSc in Mechanical Engineering at ETH Zurich. After two years at Kanadevia Inova, she took on an increased role in project management and technical leadership as Project Manager Advanced Digitalisation.

Towards fully automated, demand-oriented biogas plant operation: aspects of a model-based monitoring and control architecture                                                                                                                                             2013-2018: Bachelor of Science in mechanical engineering at TU Berlin.
2018-2021: Master of Science in mechanical engineering at TU Munich. Focus on process technology and control systems (including student tutoring).
Since August 2021: PhD candidate at DBFZ (Deutsches Biomasseforschungszentrum) in Leipzig, and TU Chemnitz (Prof. Stefan Streif). Research on monitoring and flexible operation of agricultural biogas plants based on mechanistic models.

BiToP – Process optimisation of a biorefining process for digestate treatment with the aim of obtaining peat substitutes under practical conditions at biogas plants
Bachelor of Science in Horticultural Sciences at the University of Hanover, Master of Science at HU Berlin, project coordinator for renewable energies and since 2012 project employee at 3N, tasks there: Coordination and management of various national and international (sub)projects in the field of bioeconomy and agricultural process chains
Current fields of work: Algae production on agricultural residue streams, substrate diversification and process optimisation of biogas plants, utilisation and processing of farm manure (fermentation residues and slurry) as fertiliser and peat substitute

Deep learning for profitable biogas production                                                                                                    She studied Mathematics and Economics at the Friedrich-Alexander-Universität Erlangen-Nürnberg with a specialization on Optimization and Process Management. Since 2020, she has been working as a research associate and data scientist at the German Biomass Research Centre (DBFZ), o.a. investigating the German power market and revenue opportunities for bioenergy.  

Biogas and Artificial Intelligence: Enhancing Data Integrity and Regulatory Compliance
He is an expert in sustainable energy carriers and works at agriportance GmbH. He has extensive knowledge in biomethane, certification systems, and renewable energy. After his studies, he gained experience in the energy sector and specialized in GHG quotas and the sustainable use of biogas. At agriportance, he supports producers and traders in optimizing their biomethane marketing. His focus is on practical solutions that combine sustainability with economic success. Through close collaboration with market players, he contributes to the industry’s development. He is also a frequent speaker at industry events. With his commitment, he drives the energy transition forward and advocates for a climate-friendly future

Addressing medium-term electricity price forecasting challenges with neural networks for flexible biogas plant operation                                                                                                                                                                                        She holds a Bachelor’s degree in Civil Engineering from the Catholic University of Asunción, Paraguay, and a Master’s degree from the Erasmus Mundus Joint Programme in Hydroinformatics and Water Management. This multidisciplinary program was conducted across leading European institutions, including the University of Nice, Brandenburg University of Technology Cottbus-Senftenberg, Technical University of Catalonia, University of Newcastle Upon Tyne, and Warsaw University of Technology. With several years of professional experience in data science within the private sector, Isis has applied advanced analytics and machine and deep learning techniques in the industrial and energy domains. Since 2023, she has been working as Research Associate/Data Scientist at the German Biomass Research Centre (DBFZ), where she leads projects and provides AI consulting for sustainable energy solutions.

Bright Renewables “Ultra-Low-E” membrane-based biomethane upgrading system
Matthias Trüter Cordeiro – Sales lead DACH-region Bright renewables b.v.
Active in the field of biogas since 2008
Sales and design for a renowned German biogas plant manufacturer 2008-2014
Sales in biological plant protection for a world leading company 2015-2018
Structural consulting for biogas and photovoltaic plants 2014-2023

BioCO2 , the by-product from Biogas upgrading and its hidden potential
He worked for over 25 years in the chemical industry, mostly in Marketing, Sales or Business Development. During this time he was located in Europe, South East Asia and South America. In 2015 he took over the global responsibility for the companies Biogas upgrading technology, membrane gas separation. With the help of a selected group of well established system integrators this technology is today the most chosen technology when it comes to Biogas upgrading. In 2024 formed his own consulting company in order to continue promoting the de-fossilisation and the utilization of Biomethane and BioCO2 and still cooperates with technology providers and off-take parties etc.

Hybrid models for the anaerobic digestion process
Currently, he is an PhD student at Osnabrück University in the graduate school Joint Lab AI & Data Science. The Joint Lab is a collaboration between the University and the Leibniz Institute for Agricultural Engineering and Bioeconomy in Potsdam, Germany, with the goal to solve problems in the agricultural field with the help of modern machine learning methods.Before that, he studied mathematics for his master’s degree at Osnabrück University.
For his bachelor’s degree he studied mathematics as well as physics as part of a dual-subject bachelor degree course also at Osnabrück University.