Gaida, Daniel and Luis, Sousa Brito Andre and Wolf, Christian and Back, Thomas and Bongards, Michael and McLoone, Sean
Optimal Control of Biogas Plants using Nonlinear
Model Predictive Control.
In: ISSC 2011, June 23-24 2011, Trinity College Dublin.
Optimal control of biogas plants is a complex and challenging task due to the
nonlinearity of the anaerobic digestion process involved in the conversion of biodegradable
input material to biogas (a mixture of the energy carrier methane and carbon dioxide). In
this paper a nonlinear model predictive control (NMPC) algorithm is developed to optimally
control the substrate feed of the anaerobic digestion process on biogas plants. The
implemented algorithm is investigated in a simulation study using a validated simulation
model of a full-scale biogas plant with an electrical power of 750 kW, where the control
objective is to achieve high biogas production and quality while maintaining stable plant
operation. Results are presented demonstrating the feasibility of the proposed approach. The
optimal operating state identified by the controller provides an additional return of
investment of 650 €/day compared to a nominal operating state. Using the proposed
algorithm it will be possible in the near future to optimize full-scale biogas plants using
nonlinear model predictive control and therefore to advance the use of anaerobic digestion
for eco-friendly energy production.
Conference or Workshop Item
||anaerobic digestion; control; Nonlinear Model Predictive Control; optimization;
||Faculty of Science and Engineering > Electronic Engineering
||08 May 2012 14:51
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