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Lookup NU author(s): Amin Ganjian, Dr Jie ZhangORCiD
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This paper presents neural network based modelling and optimisation of a sequencing batch reactor (SBR) for the production of polygydroxybutyrate (PHB), a bio-graded plastic with similar physical properties to polyethylene. A process characterisation method is developed for PHB production under mixed microbial culture. Based on the results obtained from the method, two major biological phases are identified and characterised. SBR recipes are designed to impose occurrence of both phases within each cycle of the SBR for sustainable productions. In order to overcome the difficulties of developing complicated mechanistic models and using such models in optimisation, bootstrap aggregated neural network models are developed and used to maximise PHB production. Simulation results show that the proposed method can improve PHB production.
Author(s): Ganjian A, Zhang J, Oliveira R
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 24th European Symposium on Computer Aided Process Engineering
Year of Conference: 2014
Pages: 733-738
Publisher: Elsevier
URL: http://dx.doi.org/10.1016/B978-0-444-63456-6.50123-X
DOI: 10.1016/B978-0-444-63456-6.50123-X
Library holdings: Search Newcastle University Library for this item
Series Title: Computer Aided Chemical Engineering
ISBN: 9780444634566
