A fuzzy logic approach to control anaerobic digestion
| Autor: | Domnanovich, A. M., David Strik, Zani, L., Pfeiffer, B., Karlovits, M., Braun, R., Holubar, P. |
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| Zdroj: | Scopus-Elsevier Communications in agricultural and applied biological sciences, 68(2a), 215-218 Communications in agricultural and applied biological sciences 68 (2003) 2a |
| ISSN: | 1379-1176 |
| Popis: | 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 |
| Databáze: | OpenAIRE |
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