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Flexibilité de la demande d’électricité de systèmes frigorifiques à stockage d’énergie thermique basée sur une stratégie de commande prédictive : influence des incertitudes du modèle.

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

Numéro : pap. n. 728

Auteurs : PFEIFFER D., HAUSSER S., HUDJETZ S., et al.

Résumé

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.

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Pages : 8

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Détails

  • Titre original : Electrical demand side flexibility from refrigeration systems with thermal energy storage based on a model predictive control strategy: Influence of model uncertainties.
  • Identifiant de la fiche : 30026476
  • Langues : Anglais
  • Source : Proceedings of the 25th IIR International Congress of Refrigeration: Montréal , Canada, August 24-30, 2019.
  • Date d'édition : 24/08/2019
  • DOI : http://dx.doi.org/10.18462/iir.icr.2019.0728

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