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A dynamic model has been adapted to a pilot anaerobic reactor fed diary manure.Both steady-state data from online sensors and laboratory analysis and dynamic operational data from online sensors are used in the model adaptation.The model is based on material balances, and comprises four state variables, namely biodegradable volatile solids, volatile fatty acids, acid generating microbes (acidogens), and methane generating microbes (methanogens).The model can predict the methane gas flow produced in the reactor.The model may be used for optimal reactor design and operation, state-estimation and control.Also, a dynamic model for the reactor temperature based on energy balance of the liquid in the reactor is adapted.This model may be used for optimization and control when energy and economy are taken into account.
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