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A new predictive thermal sensation index of human response.

Author(s) : HAMDI M., LACHIVER G., et al.

Type of article: Article

Summary

Presents a new approach based on fuzzy logic to estimating the degree of thermal comfort depending on six variables: air temperature; mean radiant temperature; relative humidity; air velocity; activity level of occupants and their clothing insulation. States the new fuzzy thermal sensation index is calculated implicitly as the consequence of linguistic rules describing a person's comfort level as the result of the interaction of environmental variables with the occupant's personal parameters. States that unlike Fanger's Predicted Mean Vote (PMV), the new fuzzy PMV calculation does not require an iterative solution and can be easily adjusted depending on the specific thermal sensation of users.

Details

  • Original title: A new predictive thermal sensation index of human response.
  • Record ID : 2000-2154
  • Languages: English
  • Source: Energy Build. - vol. 29 - n. 2
  • Publication date: 1999

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