An Experimental Study of Thermal Comfort in the Offices of an Educational Building DOI

Masoumeh Mazandarani,

David S.‐K. Ting,

Jacqueline Stagner

et al.

Published: Jan. 1, 2025

Language: Английский

A comprehensive review of research on indoor cognitive performance using electroencephalogram technology DOI
Nan Zhang, Chao Liu, Jiaxin Li

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 257, P. 111555 - 111555

Published: April 24, 2024

Language: Английский

Citations

22

Exploring the role of skin temperature in thermal sensation and thermal comfort: A comprehensive review DOI Creative Commons
Wenjie Song, Fangliang Zhong, John Kaiser Calautit

et al.

Energy 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

20

A comprehensive review of impact assessment of indoor thermal environment on work and cognitive performance - Combined physiological measurements and machine learning DOI
Shanshan Li, Xiaoyi Zhang, Yanxue Li

et al.

Journal of Building Engineering, Journal Year: 2023, Volume and Issue: 71, P. 106417 - 106417

Published: March 31, 2023

Language: Английский

Citations

32

Human physiology for personal thermal comfort-based HVAC control – A review DOI Creative Commons
Dragos‐Ioan Bogatu, Jun Shinoda,

José Joaquín Aguilera

et al.

Building 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

29

A review of applications of electroencephalogram in thermal environment: Comfort, performance, and sleep quality DOI
Jing Shi, Nan Zhang, Chao Liu

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 84, P. 108646 - 108646

Published: Jan. 25, 2024

Language: Английский

Citations

13

From characteristics to practical applications of skin temperature in thermal comfort research – A comprehensive review DOI
Jiaqi Zhao, Rui Wang,

Yeyu Wu

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 262, P. 111820 - 111820

Published: July 6, 2024

Language: Английский

Citations

11

Determination of core and mean skin temperatures for the evaluation of thermal comfort: A comparative study DOI

S.S. Hou,

Shan Gao, Yi Jin

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112605 - 112605

Published: Jan. 1, 2025

Language: Английский

Citations

1

Prediction model for personalized thermal comfort of indoor office workers based on non-skin contact wearable device DOI
Guangyu Liu, Xi Luo, Junqi Yu

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112686 - 112686

Published: Feb. 1, 2025

Language: Английский

Citations

1

A systematic review of research on personal thermal comfort using infrared technology DOI

Yeyu Wu,

Jiaqi Zhao, Bin Cao

et al.

Energy and Buildings, Journal Year: 2023, Volume and Issue: 301, P. 113666 - 113666

Published: Oct. 21, 2023

Language: Английский

Citations

20

Development of an automatic personal comfort system (APCS) based on real-time thermal sensation prediction DOI

Yeyu Wu,

Bin Cao, Yingxin Zhu

et al.

Building and Environment, Journal Year: 2023, Volume and Issue: 246, P. 110958 - 110958

Published: Oct. 20, 2023

Language: Английский

Citations

19