Real-time multi-factor thermal comfort assessment
Authors/Creators
-
1.
Centre for Research and Technology Hellas
- 2. Watt + Volt
-
3.
University of the Aegean
Description
The predicted mean vote (PMV) and predicted percentage of dissatisfied (PPD) are commonly used metrics for thermal comfort estimation, nevertheless estimating clothing insulation and the metabolic rate remains a challenge. The main objective is to mitigate the error in estimating personal factors by taking into account as many factors as possible, such as indoor and outdoor conditions. To address this issue, an algorithm that combines existing approaches to enhance precision is proposed. Experimental results demonstrate that the suggested method is more accurate than other approaches. The proposed approach has significant implications for designing and evaluating heating, ventilation, and air conditioning systems, buildings, and indoor spaces.
Files
3e590c05-c47d-41e0-833d-e2b68f042094.pdf
Files
(8.0 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:aab7d8302a83f9ed298b4b391d0043a4
|
8.0 MB | Preview Download |