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Commande prédictive d’une unité de toiture hybride comprenant des matériaux à changement de phase pour le transfert de charge.

Model predictive control of a hybrid rooftop unit system integrated with phase change material for load shifting.

Numéro : 3532

Auteurs : CHINTALA R., RANSISI H., JIN X.

Résumé

Thermal energy storage (TES) offers a promising solution for load shifting and reducing peak demand in buildings. The TES system under consideration in this paper is a hybrid rooftop unit (RTU) from Emerson with 5-ton cooling capacity, integrated with a patented phase change material (PCM) from NETEnergy that functions as TES. The hybrid
RTU system with PCM is currently in pre-commercialization stage, and offers important advantages over equivalent ice storage systems, namely significant reduction in added weight and cost, and a lot fewer moving parts and machinery. The hybrid RTU system with PCM has the potential to reduce peak demand by up to 40% and leverage time-of-use
(TOU) utility rates to reduce operational costs for the customer. The default controller used to regulate the operation of TES is rule-based control (RBC). A set of rules govern the
charging and dishcarging of the PCM. The utility of the hybrid RTU + PCM can be further improved by replacing rulebased approach of RBC with an optimization-based approach of model predictive control (MPC). This paper provides the algorithm development, analysis, and results of implementing model predictive control (MPC) on the hybrid RTU with PCM using high-fidelity physics-based models as the simulation test-bed. The goal of the paper is to show how replacing RBC with MPC can provide greater benefits with regards to load shifting and peak-demand reduction. Reduced order models (ROMs) are developed for each component of the hybrid RTU and PCM, and mathematical optimization is performed to find the optimal charging/discharging trajectory of the PCM. MPC is then tested on highfidelity physics-based models of the RTU and PCM components, and compared with an RBC strategy in a co-simulation environment. A high demand and low demand use case are tested under a TOU rate structure, and MPC performs better than RBC when the demand is low, yielding 4.5% savings.

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Pages : 10 p.

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Détails

  • Titre original : Model predictive control of a hybrid rooftop unit system integrated with phase change material for load shifting.
  • Identifiant de la fiche : 30032917
  • Langues : Anglais
  • Sujet : Technologie
  • Source : 2024 Purdue Conferences. 8th International High Performance Buildings Conference at Purdue.
  • Date d'édition : 15/07/2024

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