EconPapers    
Economics at your fingertips  
 

An Integer Linear Programming Model for an Ecovat Buffer

Gijs J. H. De Goeijen, Gerard J. M. Smit and Johann L. Hurink
Additional contact information
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

Energies, 2016, vol. 9, issue 8, 1-21

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.

Keywords: smart grids; seasonal thermal storage; modelling; integer linear programming (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/1996-1073/9/8/592/pdf (application/pdf)
https://www.mdpi.com/1996-1073/9/8/592/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:9:y:2016:i:8:p:592-:d:74874

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-24
Handle: RePEc:gam:jeners:v:9:y:2016:i:8:p:592-:d:74874