An Investigation of Indoor Environment Quality on Occupants’ Thermal Responses, Health, and Productivity: A Study Based on Physiological Data in Occupied Office Space DOI Creative Commons

Mahatma Sindu Suryo,

Masayuki Ichinose, Yoshihiro Kuroda

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(11), P. 3562 - 3562

Published: Nov. 8, 2024

This study explores the impact of Indoor Environment Quality (IEQ) on health and productivity office workers in an building Fujisawa, Kanagawa, Japan. Previous studies have shown that IEQ can affect physiological responses occupants, such as skin temperature, heart rate, metabolic which are indicators productivity. However, most took place controlled laboratory environments, may not accurately represent real-life experiences. The collected subjective objective data from actual occupied space, including perceptions IEQ, health, productivity, measurements parameters thermal environment, light indoor air quality, acoustics. used correlation linear regression methods to examine relationship between data, stable environment low physical intensity work contribute weak responses, health–productivity variables. results this provide insights into how affects psychological well-being, performance real-world settings.

Language: Английский

Subzone division optimization with probability analysis-based K-means clustering for coupled control of non-uniform thermal environments and individual thermal preferences DOI
Sheng Zhang, Ruifeng Wang, Zhang Lin

et al.

Building and Environment, Journal Year: 2023, Volume and Issue: 249, P. 111155 - 111155

Published: Dec. 28, 2023

Language: Английский

Citations

9

Overall and local environmental collaborative control based on personal comfort model and personal comfort system DOI

Yeyu Wu,

Haihua Jiang,

Weiming Chen

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 371, P. 123707 - 123707

Published: June 21, 2024

Language: Английский

Citations

3

Thermal comfort prediction in multi-occupant spaces based on facial temperature and human attributes identification DOI
Mianyang Yu,

Ziyue Tang,

Yanling Tao

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 262, P. 111772 - 111772

Published: July 3, 2024

Language: Английский

Citations

2

A convolutional neural network to control sound level for air conditioning units in four different classroom conditions DOI Creative Commons

Kiranraj Muthuraj,

Cherif Othmani,

Ralph Krause

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: unknown, P. 114913 - 114913

Published: Oct. 1, 2024

Language: Английский

Citations

2

A simplified machine learning model to forecast individual thermal comfort in older adults’ residential spaces without relying on wearable devices DOI
Junsoo Lee,

Seungwon Seo,

Soeun Han

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106085 - 106085

Published: Dec. 1, 2024

Language: Английский

Citations

2

Predicting Indoor Personalized Heat Stress Using Wearable Sensors and Data-Driven Models DOI
Kopal Nihar, Rishee K. Jain, So‐Min Cheong

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 97, P. 110761 - 110761

Published: Sept. 20, 2024

Language: Английский

Citations

1

Effects of Musical Tempo on Human Thermal Comfort During Interval Exercise DOI

Meng Zhen,

Wei Xia, Dahu Lin

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 112359 - 112359

Published: Nov. 1, 2024

Language: Английский

Citations

1

Thermal sensitivity and adaptive comfort in mixed-mode office buildings in humid subtropical climate DOI Creative Commons
Maryam Khoshbakht, Fan Zhang, Zahra Sadat Zomorodian

et al.

Building Research & Information, Journal Year: 2023, Volume and Issue: 52(6), P. 693 - 707

Published: Sept. 25, 2023

This study evaluates thermal sensitivity, expectations, and adaptability in mixed-mode ventilated buildings by subjective objective assessments. A field of simultaneous measurements physical environmental parameters right-here-right-now surveys was conducted three office from summer to winter humid subtropical climates. The confirmed previous findings that preferences changes as the ventilation system switches between natural (NV) air-conditioning (AC). Occupants this showed more sensitivity temperature than previously reported ASHRAE Standards, yet same under different modes operation. neutral 0.5 oC higher predicted 55 both Thermal expectations were 1.5 warmer estimated when building operated AC, while almost NV mode. comfort range 0.75 wider those operation, AC research provide a better understanding operations perspectives occupants, important for designers operation managers.

Language: Английский

Citations

3

Thermal sensation prediction model for high-speed train occupants based on skin temperatures and skin wettedness DOI

Wen‐Jun Zhou,

Mingzhi Yang, Yong Peng

et al.

International Journal of Biometeorology, Journal Year: 2023, Volume and Issue: 68(2), P. 289 - 304

Published: Dec. 4, 2023

Language: Английский

Citations

3

Electrodermal activity and heart rate variability–driven personal thermal comfort prediction and explanation DOI
Mallika Kliangkhlao, Kanjana Haruehansapong, Kirttayoth Yeranee

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 265, P. 111921 - 111921

Published: Aug. 5, 2024

Language: Английский

Citations

0