Published: Jan. 1, 2025
Language: Английский
Published: Jan. 1, 2025
Language: Английский
Building and Environment, Journal Year: 2024, Volume and Issue: 257, P. 111555 - 111555
Published: April 24, 2024
Language: Английский
Citations
22Energy and Built Environment, Journal Year: 2024, Volume and Issue: unknown
Published: March 1, 2024
The role of skin temperature as a determinant human thermal sensation and comfort has gained increasing recognition, prompting need for systematic review. This review examines the relationship between sensation, synthesizing insights from 172 studies published since 2000. It uniquely focuses on indispensable roles local mean temperatures, perspective not comprehensively explored in previous literature. reveals that most common measurement points are face hands, attributed to their higher sensitivity practical ease measurement. establishes clear linear user though affected by choice locations number points. A notable finding is varying impact overall changing environments, with heating less influential than cooling. also uncovers significant demographic variations strongly influenced differing temperatures across age groups, genders, climatic regions. For example, elderly populations exhibit decreased sensitivity, especially towards warmth. Gender differences significant, females experiencing warmer environments lower colder ones. Machine learning (ML)-based methods, classification tree-based support vector machine (SVM) techniques, dominate predicting comfort, leveraging data. While ML methods prevalent, statistical regression-based approaches offer valuable empirical insights. Thermo-physiological model-based provide reliable results incorporating detailed dynamics. identifies gap understanding how gender, age, regional influence diverse environments. study recommends conducting more nuanced experiments dissect these factors proposes integration individual variables into models personalize predictions.
Language: Английский
Citations
20Journal of Building Engineering, Journal Year: 2023, Volume and Issue: 71, P. 106417 - 106417
Published: March 31, 2023
Language: Английский
Citations
32Building and Environment, Journal Year: 2023, Volume and Issue: 240, P. 110418 - 110418
Published: May 22, 2023
Standardized methods for thermal comfort assessment already exist, namely the predicted mean vote (PMV) and adaptive model, both valid groups of people. To identify whether a specific person is comfortable under different factors such as thermal, air quality, lighting, acoustics, only current reliable method subjective evaluation. reduce need occupant feedback, personal models are currently being developed that aim to predict response based on information from its surroundings. These leverage machine learning tools have been found provide suitable estimations responses. According literature, an average prediction accuracy 70–80% attainable. Therefore, these promoted innovative efficient ways comfort-based HVAC control. The challenge however identifying most relevant indicators acquiring them in simple way. Integrating anthropometric data, e.g., age, sex, body mass index may represent generating model. Including physiological data skin temperature, heart rate, signal transformation could increase performance. Strong relationships were identified between indicators, their variation was not be governed solely by thermoregulation. Few automatic control implementation examples using shows challenges still exist. In order achieve accurate control, certain issues remain regarding acceptable thresholds model performance optimum set combination it.
Language: Английский
Citations
29Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 84, P. 108646 - 108646
Published: Jan. 25, 2024
Language: Английский
Citations
13Building and Environment, Journal Year: 2024, Volume and Issue: 262, P. 111820 - 111820
Published: July 6, 2024
Language: Английский
Citations
11Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112605 - 112605
Published: Jan. 1, 2025
Language: Английский
Citations
1Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112686 - 112686
Published: Feb. 1, 2025
Language: Английский
Citations
1Energy and Buildings, Journal Year: 2023, Volume and Issue: 301, P. 113666 - 113666
Published: Oct. 21, 2023
Language: Английский
Citations
20Building and Environment, Journal Year: 2023, Volume and Issue: 246, P. 110958 - 110958
Published: Oct. 20, 2023
Language: Английский
Citations
19