Share

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

Number: pap. 3466

Author(s) : HASAN M. H., ALSALEEM F., RAFAIE M.

Summary

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.

Available documents

Format PDF

Pages: 10 p.

Available

  • Public price

    20 €

  • Member price*

    15 €

* Best rate depending on membership category (see the detailed benefits of individual and corporate memberships).

Details

  • Original title: Sensitivity analysis for the PMV thermal comfort model and the use of wearable devices to enhance its accuracy.
  • Record ID : 30019285
  • Languages: English
  • Source: 2016 Purdue Conferences. 4th International High Performance Buildings Conference at Purdue.
  • Publication date: 2016/07/11

Links


See other articles from the proceedings (77)
See the conference proceedings

Indexing