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Stratégie personnalisée de régulation de l’ombrage pour optimiser le bien-être des résidents tout en minimisant la consommation d’énergie liée à l’éclairage par optimisation multi-objectif.

Personalized shading control strategy to maximize occupant satisfaction while minimizing lighting energy use by multi-objective optimization.

Numéro : pap. 3685

Auteurs : XIONG J., LEE S., TZEMPELIKOS A., et al.

Résumé

In this study, a personalized shading control framework is developed to maximize occupant satisfaction while minimizing lighting energy use using a multi-objective optimization scheme. A personalized satisfaction model was developed based on specially-designed experiments in private offices, to quantify the occupant satisfaction level with motorized roller shades by predicting the override probability of occupants considering different variables. Then, a multi-objective optimization algorithm was constructed, considering the shading override probability and predicted lighting energy use as objectives, where the occupants are the decision makers in the final balancing between their personalized comfort limits and energy use considerations. The developed method serves as a prototype study on adaptive shading controls with learned personalized comfort profiles and parallel energy use considerations.

Documents disponibles

Format PDF

Pages : 13

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 : Personalized shading control strategy to maximize occupant satisfaction while minimizing lighting energy use by multi-objective optimization.
  • Identifiant de la fiche : 30019283
  • Langues : Anglais
  • Source : 2016 Purdue Conferences. 4th International High Performance Buildings Conference at Purdue.
  • Date d'édition : 11/07/2016

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