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.

Metadaten
Verfasserangaben:	Daniel Gaida, Christian Wolf, Thomas Bäck, Michael Bongards
URN:	urn:nbn:de:hbz:832-epub4-6622
Titel des übergeordneten Werkes (Deutsch):	Kompendium der Forschungsgemeinschaft :metabolon 2012-2014
Angaben zur Erstveröffentlichung:	Kompendium der Forschungsgemeinschaft :metabolon 2012-2014, 2014, S. 47-51
Verlagsort:	Gummersbach
Dokumentart:	Teil eines Buches (Kapitel)
Sprache:	Englisch
Datum des Hochladens:	06.05.2015
GND-Schlagwort:	Biogas
Freies Schlagwort / Tag:	Algorithm; Biogas; Control; Multi-objective optimization; Optimization; Plant Simulation
Fakultäten und Zentrale Einrichtungen:	Informatik und Ingenieurwissenschaften (F10)
DDC-Sachgruppen:	600 Technik, Medizin, angewandte Wissenschaften
JEL-Klassifikation:	Q Agricultural and Natural Resource Economics; Environmental and Ecological Economics
Open Access:	Open Access
Lizenz (Deutsch):	Creative Commons - Namensnennung-Nicht kommerziell

Open Access