In this paper, a model of ex-situ biological biogas upgrading process is first developed. Then, parameter sensitivity analysis is performed, in order to determine the most relevant parameters for subsequent parameter identification, based on a linear fractional transformation (LFT) reformulation of the model. Biogas composition and volumetric production have been well predicted by the calibrated model, allowing its adoption as a designing tool for start-up operation of experimental pilot-scale activity.

Modelling and Parameter Identification of Ex-Situ Biological Biogas Upgrading

A. Santus;V. Corbellini;M. Trionfini;F. Malpei;G. Ferretti
2022-01-01

Abstract

In this paper, a model of ex-situ biological biogas upgrading process is first developed. Then, parameter sensitivity analysis is performed, in order to determine the most relevant parameters for subsequent parameter identification, based on a linear fractional transformation (LFT) reformulation of the model. Biogas composition and volumetric production have been well predicted by the calibrated model, allowing its adoption as a designing tool for start-up operation of experimental pilot-scale activity.
2022
10th Vienna International Conference on Mathematical Modelling MATHMOD 2022
Bioenergy production, wastewater treatment processes, modeling and identification, parameter and state estimation, microbial technology
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1224845
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