Analyse de sensibilité de l’indice PMV (vote moyen prévisible) pour la modélisation du confort thermique et utilisation de dispositifs portables pour améliorer sa précision.

Sensitivity analysis for the PMV thermal comfort model and the use of wearable devices to enhance its accuracy.

Numéro : pap. 3466

Auteurs : HASAN M. H., ALSALEEM F., RAFAIE M.

Résumé

This paper studies the sensitivity of the Predicted Mean Vote (PMV) thermal comfort model relative to its environmental and personal parameters. PMV model equations, adapted in the American Society of Heating, Refrigerating, and Air-Conditioning Engineers (ASHRAE) Standard 55–Thermal Environmental Conditions for Human Occupancy, are used in this investigation to generate two-dimensional (2D) and three-dimensional (3D) comfort zone plots for different combinations of parameters. It is found that personal parameters such as clothing and metabolic rate, which are usually ignored or simply assumed to be constant values, have the highest impact. In this work, we demonstrate the use of smart wearable devices to estimate metabolic rate. The metabolic rate for an occupant during normal life activities is recorded using a Fitbit® wearable device. This example is used to do the following: (1) demonstrate the PMV expected error range when personal parameters are ignored, and (2) determine the potential of using a wearable device to enhance PMV comfort model accuracy.

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 : Sensitivity analysis for the PMV thermal comfort model and the use of wearable devices to enhance its accuracy.
  • Identifiant de la fiche : 30019285
  • Langues : Anglais
  • Source : 2016 Purdue Conferences. 4th International High Performance Buildings Conference at Purdue.
  • Date d'édition : 11/07/2016

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