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Optimisation de la régulation du conditionnement d’air à l’aide de la modélisation pour une réponse à la demande proactive des bâtiments.

Model-based control optimization of air-conditioning for proactive building demand response.

Numéro : 3180

Auteurs : DAI M., LI H., WANG S.

Résumé

Proactive building demand response has been proved to be a cost-effective approach for power system ancillary services. Air-conditioning systems are one of the significant and preferable demand response resources in large commercial buildings. Demand limiting control by shutting down part of operating chillers is fast enough to achieve load curtailment for providing valuable spinning reserve. However, it runs with the sacrifices of indoor thermal comfort due to the insufficient cooling supply during the demand limiting period. In this situation, the proper management of the limited cooling supply remains to be a challenge considering the trade-off between indoor air temperature and relative humidity affecting the indoor thermal comfort. Conventional building automation system fails to achieve rational use of determined power supply considering this trade-off when performing fast demand response after shutting down operating chillers. This paper therefore develops a model-based control optimization of supply air flow rates in the air-conditioning system to address this problem. A multi-objective problem is formulated to quantify this problem. Incremental building thermal balance models are employed to predict the indoor environment responses for optimization. Test results reveal that the proposed control strategy can determine the rational delivery of the cooling supply to the zones considering appropriate importance of objective for indoor air temperature and relative humidity.

Documents disponibles

Format PDF

Pages : 6 p.

Disponible

  • Prix public

    20 €

  • Prix membre*

    Gratuit

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

Détails

  • Titre original : Model-based control optimization of air-conditioning for proactive building demand response.
  • Identifiant de la fiche : 30032962
  • Langues : Anglais
  • Source : 2024 Purdue Conferences. 8th International High Performance Buildings Conference at Purdue.
  • Date d'édition : 15/07/2024

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