Evolutionary process scheduling approach for energy cost minimization in a yeast production factory: design, simulation, and factory implementation

Evolutionary process scheduling approach for energy cost minimization in a yeast production... 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 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Energy Systems Springer Journals

Evolutionary process scheduling approach for energy cost minimization in a yeast production factory: design, simulation, and factory implementation

Loading next page...
 
/lp/springer_journal/evolutionary-process-scheduling-approach-for-energy-cost-minimization-yAD0qx0OyF
Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2018 by Springer-Verlag GmbH Germany, part of Springer Nature
Subject
Engineering; Energy Economics; Operations Research/Decision Theory; Optimization; Energy Systems
ISSN
1868-3967
eISSN
1868-3975
D.O.I.
10.1007/s12667-018-0275-y
Publisher site
See Article on Publisher Site

Abstract

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

Journal

Energy SystemsSpringer Journals

Published: Jun 4, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off