Share

IIR document

Electrical demand side flexibility from refrigeration systems with thermal energy storage based on a model predictive control strategy: Influence of model uncertainties.

Number: pap. n. 728

Author(s) : PFEIFFER D., HAUSSER S., HUDJETZ S., et al.

Summary

Motivated due to boosting shares of renewable energy resources and the associated need for demand side flexibility, electrical driven refrigeration systems can specifically supply capacities through adequate use of cold-water energy storage. Therefore, a model predictive control approach is presented, mainly focusing on a simplified model to estimate the useable amount of the storage capacity. Aim of this investigation is to identify the influence of the uncertainties by this estimation. Using a simulation model of a cold-water refrigeration system a sensitivity analysis is performed. Based on synthetic incentive signals, various load shifting scenarios are represented and the feasibility of the suggested cooling supply schedules is evaluated. The examination of necessary schedule corrections by a basic plant control as well as the utilization of the incentive signals show a distinct dependence on the model accuracy.

Available documents

Format PDF

Pages: 8

Available

  • Public price

    20 €

  • Member price*

    Free

* Best rate depending on membership category (see the detailed benefits of individual and corporate memberships).

Details

  • Original title: Electrical demand side flexibility from refrigeration systems with thermal energy storage based on a model predictive control strategy: Influence of model uncertainties.
  • Record ID : 30026476
  • Languages: English
  • Source: Proceedings of the 25th IIR International Congress of Refrigeration: Montréal , Canada, August 24-30, 2019.
  • Publication date: 2019/08/24
  • DOI: http://dx.doi.org/10.18462/iir.icr.2019.0728

Links


See other articles from the proceedings (632)
See the conference proceedings

Indexing