A fuzzy logic approach to control anaerobic digestion.
One of the goals of the EU-Project AMONCO (Advanced Prediction, Monitoring and Controlling of Anaerobic Digestion Process Behaviour towards Biogas Usage in Fuel Cells) is to create a control tool for the anaerobic digestion process, which predicts the volumetric organic loading rate (Bv) for the next day, to obtain a high biogas quality and production. The biogas should contain a high methane concentration (over 50%) and a low concentration of components toxic for fuel cells, e.g. hydrogen sulphide, siloxanes, ammonia and mercaptanes. For producing data to test the control tool, four 20 l anaerobic Continuously Stirred Tank Reactors (CSTR) are operated. For controlling two systems were investigated: a pure fuzzy logic system and a hybrid-system which contains a fuzzy based reactor condition calculation and a hierachial neural net in a cascade of optimisation algorithms.
Domnanovich
A M
AM
Institute of Applied Microbiology, BOKU-University of Natural Resources and Applied Life Sciences, Muthgasse 18, A-1 190 Vienna, Austria.
Strik
D P
DP
Zani
L
L
Pfeiffer
B
B
Karlovits
M
M
Braun
R
R
Holubar
P
P
D000693:Anaerobiosis; D018533:Biomass; D019149:Bioreactors; D005648:Fuel Oils; D017143:Fuzzy Logic; D016571:Neural Networks, Computer; D018505:Waste Management / Q000379:methods
D005648:Fuel Oils