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Multi-objective nonlinear model predictive substrate feed control of a biogas plant

  • In this paper a closed-loop substrate feed control for agricultural biogas plants is proposed. In this case, multi-objective nonlinear model predictive control is used to control composition and amount of substrate feed to optimise the economic feasibility of a biogas plant whilst assuring process stability. The control algorithm relies on a detailed biogas plant simulation model using the Anaerobic Digestion Model No. 1. The optimal control problem is solved using the state-of-the-art multi-objective optimization method SMS-EGO. Control performance is evaluated by means of a set point tracking problem in a noisy environment. Results show, that the proposed control scheme is able to keep the produced electrical energy close to a set point with an RMSE of 0.9 %, thus maintaining optimal biogas plant operation.

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Metadaten
Author:Daniel Gaida, Christian Wolf, Thomas Bäck, Michael Bongards
URN:urn:nbn:de:hbz:832-epub4-6622
Parent Title (German):Kompendium der Forschungsgemeinschaft :metabolon 2012-2014
Descirption of the primary publication:Kompendium der Forschungsgemeinschaft :metabolon 2012-2014, 2014, S. 47-51
Place of publication:Gummersbach
Document Type:Part of a Book
Language:English
Date of Publication (online):2015/05/06
GND-Keyword:Biogas
Tag:Algorithm; Biogas; Control; Multi-objective optimization; Optimization; Plant Simulation
Institutes:Informatik und Ingenieurwissenschaften (F10) / Fakultät 10 / :metabolon Institut
Dewey Decimal Classification:600 Technik, Medizin, angewandte Wissenschaften
JEL-Classification:Q Agricultural and Natural Resource Economics; Environmental and Ecological Economics
Open Access:Open Access
Licence (German):License LogoCreative Commons - Namensnennung-Nicht kommerziell