2020
DOI: 10.1016/j.jobe.2019.101117
|View full text |Cite
|
Sign up to set email alerts
|

Bayesian updates for indoor thermal comfort models

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
8
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 22 publications
(12 citation statements)
references
References 97 publications
0
8
0
Order By: Relevance
“…The sequential steps regarding duration, metabolic rate, clothing, air temperature, radiant temperature, air speed, indoor humidity, and thermal properties of the contact surface, are simulated for 16 body segments, and the corresponding Equivalent Homogeneous Temperatures (EHT) are used for comfort predictions. The CBE model can identify local thermal disturbances, and is applicable to transient non-uniform thermal environments [47].…”
Section: Ppd Pmv Rangementioning
confidence: 99%
“…The sequential steps regarding duration, metabolic rate, clothing, air temperature, radiant temperature, air speed, indoor humidity, and thermal properties of the contact surface, are simulated for 16 body segments, and the corresponding Equivalent Homogeneous Temperatures (EHT) are used for comfort predictions. The CBE model can identify local thermal disturbances, and is applicable to transient non-uniform thermal environments [47].…”
Section: Ppd Pmv Rangementioning
confidence: 99%
“…When high IEQ conditions are achieved, occupants would have a high level of comfort. 7 Relevant literature has shown that the indoor environment has a direct impact on the health of residents. For example, a bad indoor environment would lead to long-term health problems and reduce the happiness index.…”
Section: Introductionmentioning
confidence: 99%
“…They tried to produce novel composite materials, which provide thermal insulation using waste and natural materials in construction applications. Mui et al [54] reviewed and categorized the significant developments and trends in thermal comfort research in recent years. Based on the research gaps identified, a practical solution was proposed to improve the reliability of thermal comfort predictions.…”
Section: Introductionmentioning
confidence: 99%