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Model order reduction using Dynamic Mode Decomposition: Application to the Anaerobic Digestion Model N.1 (ADM1)

Abstract : The Anaerobic Digestion Model No.1 (ADM1) is by far the most detailed model for the simulation and monitoring of Anaerobic Digestion (AD) processes. However, the ADM1 model is not dedicated for control purposes, due to its high dimension with 35 state variables. Dynamic Mode Decomposition (DMD) technique was applied to reduce the ADM1 order, using data generated from the Benchmark Simulation Model No. 2 (BSM2). The method allows to obtain a global linear model with only 7 state variables, which are coherent with dominant dynamics of the ADM1. We show in simulation that we can reconstruct original state variables of ADM1 model.
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Submitted on : Wednesday, September 2, 2020 - 11:34:35 PM
Last modification on : Tuesday, September 8, 2020 - 2:55:38 PM
Long-term archiving on: : Friday, December 4, 2020 - 5:23:35 PM

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Benaissa Dekhici, Boumediene Benyahia, Cherki Brahim. Model order reduction using Dynamic Mode Decomposition: Application to the Anaerobic Digestion Model N.1 (ADM1). CARI 2020 - 15th African Conference on Research in Computer Science and Applied Mathematics, Oct 2020, Thiès, Senegal. ⟨hal-02928872⟩

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