TY - JOUR A1 - Gaida, Daniel A1 - Wolf, Christian A1 - Meyer, C. A1 - Stuhlsatz, André A1 - Lippel, Jens A1 - Bäck, T. A1 - Bongards, Michael A1 - McLoone, S. T1 - State estimation for anaerobic digesters using the ADM1 JF - Water science and technology N2 - The optimization of full-scale biogas plant operation is of great importance to make biomass a competitive source of renewable energy. The implementation of innovative control and optimization algorithms, such as Nonlinear Model Predictive Control, requires an online estimation of operating states of biogas plants. This state estimation allows for optimal control and operating decisions according to the actual state of a plant. In this paper such a state estimator is developed using a calibrated simulation model of a full-scale biogas plant, which is based on the Anaerobic Digestion Model No.1. The use of advanced pattern recognition methods shows that model states can be predicted from basic online measurements such as biogas production, CH4 and CO2 content in the biogas, pH value and substrate feed volume of known substrates. The machine learning methods used are trained and evaluated using synthetic data created with the biogas plant model simulating over a wide range of possible plant operating regions. Results show that the operating state vector of the modelled anaerobic digestion process can be predicted with an overall accuracy of about 90%. This facilitates the application of state-based optimization and control algorithms on full-scale biogas plants and therefore fosters the production of eco-friendly energy from biomass. Y1 - 2012 U6 - https://doi.org/10.2166/wst.2012.286 VL - 66 IS - 5 SP - 1088 EP - 1095 PB - IWA Publishing ER - TY - JOUR A1 - Wolf, Christian A1 - Gaida, Daniel A1 - Stuhlsatz, André A1 - Ludwig, Thomas A1 - McLoone, Seán A1 - Bongards, Michael T1 - Predicting organic acid concentration from UV/vis spectrometry measurements – a comparison of machine learning techniques JF - Transactions of the Institute of Measurement and Control Y1 - 2013 U6 - https://doi.org/10.1177/0142331211403797 VL - 35 IS - 1 SP - 5 EP - 15 PB - sage journals ER - TY - CHAP A1 - Wolf, Christian A1 - Gaida, Daniel A1 - Stuhlsatz, André A1 - McLoone, S. A1 - Bongards, Michael T1 - A Comparison of Performance of Advanced Pattern Recognition Methods for Organic Acid Prediction in Biogas Plants Using UV/vis Spectroscopic Online-Measurements T2 - Proceedings of the 2010 International Conference on Life System Modeling and Simulation (LSMS), Wuxi, China, 2010 Y1 - 2010 ER - TY - CHAP A1 - Gaida, Daniel A1 - Wolf, Christian A1 - Stuhlsatz, André A1 - Lippel, Jens A1 - Bäck, T. A1 - Bongards, Michael A1 - McLoone, S. T1 - State Estimation for Anaerobic Digesters using the ADM1 T2 - Proceedings of International IWA-Symposium on Anaerobic Digestion of Solid Waste and Energy Crops, Vienna, Austria, 2011 Y1 - 2011 ER -