Increased economic efficiency of dual fluidized bed plants via model-based control

Thomas Nigitz, Markus Gölles, Christian Aichernig, Steffen Schneider, Hermann Hofbauer, Martin Horn

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband


Sustainable technologies can hardly compete with fossil-based technologies in terms of economic efficiency. One sustainable technology with special relevance due to its wide range of application and industrial readiness is biomass gasification using a dual fluidized bed (DFB). The economic challenges of a DFB gasification plant are addressed without constructional measures by adapting a current control strategy. This paper proposes a model-based control strategy aiming for increased economic efficiency of a DFB gasification plant considering exemplarily the “HGA Senden” in Ulm, Germany. A process analysis reveals high potential for improvement at the current control strategy for the synchronization of product gas production and utilization. A significant surplus of product gas is burned in an auxiliary boiler just for synchronization, and regular manual adjustments by the plant operators at the fuel feed are necessary. The model-based control strategy synchronizes by actuating the auxiliary boiler and the fuel feed simultaneously. The model-based control strategy is experimentally validated for over one month at the “HGA Senden” proofing a significant increase in economic efficiency. So, the economic efficiency of this technology for the sustainable production of energy and products is increased by model-based control.
Titel27th European Biomass Conference and Exhibition
Seiten533 - 538
ISBN (elektronisch)978-88-89407-19-6
PublikationsstatusVeröffentlicht - 2019
Veranstaltung27th European Biomass Conference & Exhibition: EUBCE 2019 - Lisbon, Portugal
Dauer: 27 Mai 201930 Mai 2019
Konferenznummer: ISSN 2282-5819


Konferenz27th European Biomass Conference & Exhibition
KurztitelEUBCE 2019


  • competitiveness
  • control
  • systems
  • dual fluidized bed
  • industrial scale application
  • software


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