Development of Hybrid Models for a Vapor-Phase Fungi Bioreactor

This study is aimed at the development of a model for an experimental vapour-phase fungi bioreactor, which could be derived in a simple way using the available measurements of a pilot-plant reactor, without the development of ad hoc experiments for the evaluation of fungi kinetics and the estimation...

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Bibliographic Details
Published in:Mathematical problems in engineering 2015-01, Vol.2015 (2015), p.1-11
Main Authors: Spigno, Giorgia, Tronci, Stefania
Format: Article
Language:English
Subjects:
Artificial neural networks
Assessments
Balancing
Biofilms
Biofiltration
Biological models (mathematics)
Bioreactors
Critical phenomena
Efficiency
First principles
Fungi
Gas flow
Hybrid systems
Mass balance
Mathematical analysis
Mathematical models
Mathematical problems
Neural networks
Parameter estimation
Performance indices
Pollutants
Process controls
VOCs
Volatile organic compounds
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Summary:This study is aimed at the development of a model for an experimental vapour-phase fungi bioreactor, which could be derived in a simple way using the available measurements of a pilot-plant reactor, without the development of ad hoc experiments for the evaluation of fungi kinetics and the estimation of parameters related to biofilm characteristics. The proposed approach is based on hybrid models, obtained by the connection of the mass balance equation (used in traditional phenomenological models) with a feedforward neural network (used in black-box modelling), and the proper use of statistical tools for the model assessment and system understanding. Two different hybrid models were developed and compared by proper performance indexes, and their capability to predict the biological complex phenomena was demonstrated and compared to that of a first-principle model.
ISSN:1024-123X
1563-5147
DOI:10.1155/2015/801213