Energy Syst https://doi.org/10.1007/s12667-018-0275-y ORIGINAL PAPER Evolutionary process scheduling approach for energy cost minimization in a yeast production factory: design, simulation, and factory implementation 2 1 1 G. Faria · Susana Vieira · P. J. Costa Branco Received: 4 April 2017 / Accepted: 6 October 2017 © Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract Energy efﬁciency is today the main issue for any yeast production company. Portuguese yeast companies are not an exception. Purely replacing some equipment with more energy efﬁcient ones surely contributes to decrease the overall energy consumption, but it is not enough. A yeast production process needs to be characterized and analyzed as a distributed and resource-constrained system. To achieve that in a Portuguese yeast factory, a suitable solution to obtain a dynamic resource-constrained process scheduling was pursued. A genetic algorithm (GA) based scheduling system was used to scheduling optimization of factory’s fermentation units to minimize their speciﬁc cost at yeast production. Numerical simulations were ﬁrst effectuated for calibration and validation of the yeast production model developed. A 2.29% reduction in the electricity cost per ton and per week of yeast production was achieved, which means about 7500 euros/year if the level of optimization is
Energy Systems – Springer Journals
Published: Jun 4, 2018
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