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Optimization of hydrogen production in anaerobic digesters with input and state estimation and model predictive control

Abstract : This paper addresses the problem of optimization of hydrogen production in continuous anaerobic digesters utilizing an model predictive control (MPC) strategy. The process is described by a dynamic nonlinear model. The influent COD concentration together with the effluent substrate and product concentrations are considered as state variables and estimated by an asymptotic online observer from measurements of gas composition and gas flow rate. It is experimentally demonstrated that a 75% increase of the hydrogen production can be obtained using the influent flow rate as the main control variable while keeping the conversion of the influent COD concentration higher than 95 %.
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https://hal.inrae.fr/hal-02815280
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Submitted on : Saturday, June 6, 2020 - 12:52:51 PM
Last modification on : Wednesday, March 23, 2022 - 12:08:21 PM

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  • HAL Id : hal-02815280, version 1
  • PRODINRA : 157832

Citation

Cesar Arturo Aceves-Lara, Eric E. Latrille, Nicolas Bernet, Pierre Buffière, Jean-Philippe Steyer. Optimization of hydrogen production in anaerobic digesters with input and state estimation and model predictive control. 5. Colloque STIC & Environnement, Nov 2007, Lyon, France. ⟨hal-02815280⟩

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