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Statistical Evaluation and Development of General Thermal Comfort Equations for Naturally Ventilated Buildings in Humid and Dry Hot Climates

Author(s): ORCID
ORCID
ORCID
ORCID
Medium: journal article
Language(s): English
Published in: Buildings, , n. 11, v. 12
Page(s): 1803
DOI: 10.3390/buildings12111803
Abstract:

Thermal comfort has become an important element in the design, construction, and remodeling of buildings, as well as in the understanding of human behavior that considers inhabitants’ mental conditions. The objective of this study is to propose general thermal comfort equations via a rigorous statistical evaluation for regions with hot-humid (HH) and hot-dry (HD) climates. From the information on thermal comfort provided in the specialized literature, 17 equations were gathered for hot-humid climates and nine equations for hot-dry climates. These equations were developed for hot climate conditions in zones where buildings operate with natural ventilation (NV). The statistical analysis includes the normality test of the data distribution, the recognition of outliers, and the applications of significance tests for the comparison of the equation parameters. The equations proposed in this paper can be used to initially evaluate the thermal comfort of buildings in locations where no equations have been developed locally, as well as in the energy evaluations of buildings. The equation proposed in this paper for the hot-humid climate is the following: Tc = 16.9 (±2.19) + 0.37 (±0.08) Tout; that for the hot-dry climate is: Tc = 12.9 (±5.36) + 0.56 (±0.20) Tout. These equations can be used to initially assess the thermal comfort of buildings in locations without locally developed equations, as well as in building energy assessments.

Copyright: © 2022 by the authors; licensee MDPI, Basel, Switzerland.
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10700220
  • Published on:
    10/12/2022
  • Last updated on:
    15/02/2023
 
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