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On the application of a nature-inspired stochastic evolutionary algorithm to constrained multi-objective beer fermentation optimisation

Rodman, AD; Fraga, ES; Gerogiorgis, D; (2017) On the application of a nature-inspired stochastic evolutionary algorithm to constrained multi-objective beer fermentation optimisation. Computers & Chemical Engineering , 108 pp. 448-459. 10.1016/j.compchemeng.2017.10.019. Green open access

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Abstract

Fermentation is an essential step in beer brewing, often acting as the system bottleneck due to the time-consuming nature of the process stage (duration >120 h), where a trade-off exists between attainable ethanol concentration and required batch time. To explore this trade-off we employ a multi-objective plant propagation algorithm (the Strawberry algorithm), for identifying temperature manipulations for improved fermentation performance. The methodology employed successfully produces families of favourable temperature profiles which exist along the Pareto front. A subset of these output profiles can simultaneously reduce batch time and increase product ethanol concentration while satisfying constraints on by-products produced in the fermenters, representing significant improvements in comparison with current industrial practice. A potential batch time reduction of over 12 h has been highlighted, coupled with a moderate improvement in ethanol content.

Type: Article
Title: On the application of a nature-inspired stochastic evolutionary algorithm to constrained multi-objective beer fermentation optimisation
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.compchemeng.2017.10.019
Publisher version: https://doi.org/10.1016/j.compchemeng.2017.10.019
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Dynamic optimisation, Nature-inspired optimisation, Multi-objective optimisation, Stochastic optimisation, Solution representation, Beer fermentation
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10040792
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