15 research outputs found
Darstellung strukturell modifizierter Biline als Chromophore des pflanzlichen Photorezeptors Phytochrom
COD and NH4-N Estimation in the Inflow of Wastewater Treatment Plants using Machine Learning Techniques
Gal11p Dosage-compensates Transcriptional Activator Deletions via Taf14p
Journal of Molecular Biology37419-23JMOB
State Estimation for Anaerobic Digesters using the ADM1
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 controi 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 N0.1. 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 biomas
Gal11p Dosage-compensates Transcriptional Activator Deletions via Taf14p
10.1016/j.jmb.2007.09.013Journal of Molecular Biology37419-2