Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/19487

Title: Dynamical modeling of biogas production supported by an experimental anaerobic digestion process
Authors: Cavaleiro Costa, Sérgio
Malico, Isabel
Janeiro, Fernando M.
Batista, Ana Paula
Coelho, Aldo
Lopes da Silva, Teresa
Marques, Isabel Paula
Keywords: Biorefinery
anaerobic digestion
biogas
dynamic model
dynamic model
parameter estimation
genetic algorithms
Issue Date: Sep-2016
Citation: Cavaleiro Costa, S., Malico, I., Janeiro, F. M., Batista, A. P., Coelho, A., Lopes da Silva, T., Marques, I. P. (2016). Dynamical modelling of biogas production supported by an experimental anaerobic digestion process. 11th Conference on Sustainable Development of Energy, Water and Environmental Systems – SDEWES2016, Lisbon, Portugal, 4-9 de Setembro, SDEWES2016-0594, pp. 1-12.
Abstract: This paper presents the development of a combined experimental and numerical approach to study the anaerobic digestion of both the wastes produced in a biorefinery using yeast for biodiesel production and the wastes generated in the preceding microbial biomass production. The experimental results show that it is possible to valorise through anaerobic digestion all the tested residues. In the implementation of the numerical model for anaerobic digestion, a procedure for the identification of its parameters needs to be developed. A hybrid search Genetic Algorithm was used, followed by a direct search method. In order to test the procedure for estimation of parameters, first noise-free data was considered and a critical analysis of the results obtain so far was undertaken. As a demonstration of its application, the procedure was applied to experimental data.
URI: http://hdl.handle.net/10174/19487
Type: article
Appears in Collections:FIS - Artigos em Livros de Actas/Proceedings
CEM - Artigos em Livros de Actas/Proceedings

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