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Simulation de régulation prédictive basée sur un modèle appliquée à un système de pompe à chaleur fonctionnant en partie à l'énergie solaire sous climat froid.

Simulation of model based predictive control applied to a solar assisted cold climate heat pump system.

Numéro : pap. 3610

Auteurs : CANDANEDO J. A., DEHKORDI V. R.

Résumé

This paper presents a simulation study of model-based predictive control (MPC) applied to a heating system using two air-source cold-climate heat pumps. One of the heat pumps uses air preheated by a BIPV/T roof; the other heat pump uses outdoor air. The BIPV/T roof supplying heat to the heat pump has a peak electric output of about 52 kW (out of 104 kW for the entire roof) and covers an area of 320 m2. A 20-m3 water tank is used for storing thermal energy supplied by both heat pumps. The paper describes the modelling approaches followed for the building, the heat pumps, the BIPV/T roof and the TES tank. The performance of the system was studied in a Simulink environment. The MPC algorithm was developed in order to select the optimal sequence of operation states for both heat pumps under a time-of-use electricity pricing profile. The MPC algorithm calculates the expected heating load and solves the optimization problem with a genetic algorithm at 24 hour intervals. A comparison of the performance of the MPC algorithm with a benchmark, rule-based control strategy, indicates savings of about 8%.

Documents disponibles

Format PDF

Pages : 10 p.

Disponible

  • Prix public

    20 €

  • Prix membre*

    15 €

* meilleur tarif applicable selon le type d'adhésion (voir le détail des avantages des adhésions individuelles et collectives)

Détails

  • Titre original : Simulation of model based predictive control applied to a solar assisted cold climate heat pump system.
  • Identifiant de la fiche : 30013802
  • Langues : Anglais
  • Source : 2014 Purdue Conferences. 3rd International High Performance Buildings Conference at Purdue.
  • Date d'édition : 14/07/2014

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