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An Integer Linear Programming Model for an Ecovat Buffer

Author

Listed:
  • Gijs J. H. De Goeijen

    (Department of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede 7522 NB, The Netherlands)

  • Gerard J. M. Smit

    (Department of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede 7522 NB, The Netherlands)

  • Johann L. Hurink

    (Department of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede 7522 NB, The Netherlands)

Abstract

An increase in the number of volatile renewables in the electricity grid enhances the imbalance of supply and demand. One promising candidate to solve this problem is to improve the energy storage. The Ecovat system is a new seasonal thermal energy storage system currently under development. In this paper, an integer linear programming model is developed to describe the behaviour and potential of this system. Furthermore, it is compared with a previously developed model, which is simplifying the behaviour of the Ecovat system much more, but is much less computationally expensive. It is shown that the new approach performs significantly better for several cases. For controlling a real Ecovat system in the future we may incorporate a number of improvements identified by our comparison analysis into the previously developed approach, which may help increase the quality of the obtained results without increasing the computational effort too much.

Suggested Citation

  • Gijs J. H. De Goeijen & Gerard J. M. Smit & Johann L. Hurink, 2016. "An Integer Linear Programming Model for an Ecovat Buffer," Energies, MDPI, vol. 9(8), pages 1-21, July.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:8:p:592-:d:74874
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    References listed on IDEAS

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    Cited by:

    1. Gijs J. H. de Goeijen & Gerard J. M. Smit & Johann L. Hurink, 2017. "Improving an Integer Linear Programming Model of an Ecovat Buffer by Adding Long-Term Planning," Energies, MDPI, vol. 10(12), pages 1-18, December.
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    3. Binod Prasad Koirala & Ellen van Oost & Henny van der Windt, 2020. "Innovation Dynamics of Socio-Technical Alignment in Community Energy Storage: The Cases of DrTen and Ecovat," Energies, MDPI, vol. 13(11), pages 1-22, June.

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