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Hungarian Journal of Industry and Chemistry

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Online
ISSN
2450-5102
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Refrigerator Optimal Scheduling to Minimise the Cost of Operation

Roland Bálint
  • Corresponding author
  • Faculty of Information Technology, University of Pannonia, Egyetem u. 10, Veszprém, 8200, Hungary
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  • Other articles by this author:
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/ Attila Magyar
  • Faculty of Information Technology, University of Pannonia, Egyetem u. 10, Veszprém, 8200, Hungary
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2017-05-23 | DOI: https://doi.org/10.1515/hjic-2016-0012

Abstract

The cost optimal scheduling of a household refrigerator is presented in this work. The fundamental approach is the model predictive control methodology applied to the piecewise affine model of the refrigerator.

The optimisation could not be solved using off-the-shelf tools, e.g. Multi-Parametric Toolbox, so a binary treebased optimal scheduling algorithm has been developed for this problem.

Keywords : optimal scheduling; model predictive control; operating cost minimization; modelling; day-ahead market

References

  • [1] Huisman, R.; Huurman, C.; Mahieu, R.: Hourly electricity prices in day-ahead markets, Energy Econ. 2007 29(2), 240-248" DOI 10.1016/j.eneco.2006.08.005CrossrefGoogle Scholar

  • [2] Nord Pool: Elspot prices, www.nordpoolspot.com/Market-data1/Elspot/Area-Prices/ALL1/Hourly, 2016Google Scholar

  • [3] Herceg, M.; Kvasnica, M.; Jones, C.; Morari, M.: Multi-parametric toolbox 3.0, Proc. Eur. Control Conf., EPFL-CONF-186265 (Zurich, Switzerland) 2013Google Scholar

About the article

Published Online: 2017-05-23

Published in Print: 2016-12-01


Citation Information: Hungarian Journal of Industry and Chemistry, Volume 44, Issue 2, Pages 99–104, ISSN (Online) 2450-5102, DOI: https://doi.org/10.1515/hjic-2016-0012.

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© 2017. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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