title: Model-based predictions of anaerobic digestion of agricultural substrates for biogas production.
abstract: A modified Anaerobic Digestion Model No. 1 (ADM1), calibrated on a laboratory digester with a feeding mix of 30% weight of cow manure and 70% weight of corn silage, was implemented, showing its performances of simulation as a decision-making and planning-supporting tool for the anaerobic digestion of agricultural substrates. The virtual fermenter obtained was used to conduct simulations with different feeding compositions and loading rates of cow manure, corn silage, grass silage and rape oil. All simulations were started at the same initial state which was represented by a steady state with an organic loading rate of 2.5 kg ODM/(mdigester3∗d). The effects of the different feeding combinations on biogas composition and biogas yield were predicted reasonably, and partly verified with the available literature data. Results demonstrated that the simulations could be helpful for taking decisions on agricultural biogas plant operation or experimental set-ups, if used advisedly.
authors.affiliation: School of Environment and Architecture, University of Shanghai for Science and Technology, Shanghai 200093, China.
authors.forename: Haidong
authors.initials: H
authors.lastname: Zhou
authors.forename: Daniel
authors.initials: D
authors.lastname: Löffler
authors.forename: Martin
authors.initials: M
authors.lastname: Kranert
mesh_terms: D000383:Agriculture / Q000379:methods*; D000693:Anaerobiosis; D000818:Animals; D056804:Biofuels; D019149:Bioreactors; D001709:Biotechnology / Q000379:methods; D002138:Calibration; D002417:Cattle; D003198:Computer Simulation; D003657:Decision Making; D004867:Equipment Design; D005285:Fermentation; D008372:Manure; D008956:Models, Chemical; D008962:Models, Theoretical; D003313:Zea mays / Q000378:metabolism
chemical_list: D056804:Biofuels; D008372:Manure