Modeling Supermarket Refrigeration Systems for Demand-Side Management

S. Ehsan Shafiei, Henrik Rasmussen and Jakob Stoustrup
Additional contact information
S. Ehsan Shafiei: Department of Electronic Systems, Automation and Control, Aalborg University, Aalborg, Denmark
Henrik Rasmussen: Department of Electronic Systems, Automation and Control, Aalborg University, Aalborg, Denmark
Jakob Stoustrup: Department of Electronic Systems, Automation and Control, Aalborg University, Aalborg, Denmark

Energies, 2013, vol. 6, issue 2, 1-21

Abstract: Modeling of supermarket refrigeration systems for supervisory control in the smart grid is presented in this paper. A modular modeling approach is proposed in which each module is modeled and identified separately. The focus of the work is on estimating the power consumption of the system while estimating the cold reservoir temperatures as well. The models developed for each module as well as for the overall integrated system are validated by real data collected from a supermarket in Denmark. The results show that the model is able to estimate the actual electrical power consumption with a high fidelity. Moreover a simulation benchmark is introduced based on the produced model for demand-side management in smart grid. Finally, a potential application of the proposed benchmark in direct control of the power/energy consumption is presented by a simple simulation example.

Keywords: refrigeration systems; modeling; smart grid; supervisory control (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: 2013
References: View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://www.mdpi.com/1996-1073/6/2/900/pdf (application/pdf)
https://www.mdpi.com/1996-1073/6/2/900/ (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:6:y:2013:i:2:p:900-920:d:23546

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 ().