Machine learning-based prediction and transformation of thermal sensation votes (TSV) under different scales for elderly people in summer DOI
Guozhong Zheng,

Wenwen Yi,

Xinyu Li

и другие.

Journal of Building Engineering, Год журнала: 2024, Номер 99, С. 111519 - 111519

Опубликована: Дек. 9, 2024

Язык: Английский

Efficient Cooling Capability in Microchannel Heat Sink Reinforced with Y-shaped Fins: Based on Artificial Neural Network, Genetic Algorithm, Pareto front, and Numerical Simulation DOI Creative Commons
Xiang Ma,

Ali Basem,

Pradeep Kumar Singh

и другие.

Case Studies in Thermal Engineering, Год журнала: 2025, Номер unknown, С. 105936 - 105936

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

3
Enhancing the performance of a heating, ventilation, and air conditioning system using ice slurry DOI Creative Commons

Emil Iakaboș,

Paul Dancă,

Florea Chiriac

и другие.

E3S Web of Conferences, Год журнала: 2025, Номер 608, С. 01006 - 01006

Опубликована: Янв. 1, 2025

This article examines the impact of different ice-slurry fractions on cooling performance an HVAC system. The findings reveal that increasing ice percentage in solution leads to a proportional enhancement system’s capacity. demonstrates effectiveness higher concentrations improving performance. phenomenon could be particularly advantageous designing systems, enabling adjustments concentration optimize thermal efficiency based specific requirements.

Язык: Английский

Процитировано

0
Thermal Comfort of Older People: Validation of the MPMV Model DOI Creative Commons
Abdelaziz Laouadi, Melina Sirati, Zahra Jandaghian

и другие.

Energies, Год журнала: 2025, Номер 18(6), С. 1484 - 1484

Опубликована: Март 17, 2025

Older people are the most vulnerable to extreme heat and cold events, understanding their thermal comfort requirements is an important component for design of healthy buildings. There are, however, very few predictive models older populations. The aim this paper was validate newly developed MPMV model using sensation data collected in climatic chambers field studies urban rural buildings under various climate zones. Besides six customary physical parameters governing perception, accounts additional factors covering retrieval from or addition body core adjustment constants regulatory sweating rate non-shivering thermogenesis, which adaptation real settings. predictions show good agreement with measurement chambers, overall RMSE = 0.44. Similarly, reproduces a high degree accuracy 71% studies, 0.52. major differences were observed residences during winter climates summer hot climates. These discrepancies could be attributed unreported factors, such as transient effects, misestimation personal input data, seasonal residents.

Язык: Английский

Процитировано

0
Exploring Intervention Strategies to Prevent Occupational Heat Stress. A Scoping Review DOI Creative Commons

Sepehr Khorshid,

Siyuan Song

Safety and Health at Work, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Optimization of indoor environment design based on intelligent algorithms DOI
Ying Liu

Опубликована: Апрель 12, 2024

Язык: Английский

Процитировано

0
Machine learning-based prediction and transformation of thermal sensation votes (TSV) under different scales for elderly people in summer DOI
Guozhong Zheng,

Wenwen Yi,

Xinyu Li

и другие.

Journal of Building Engineering, Год журнала: 2024, Номер 99, С. 111519 - 111519

Опубликована: Дек. 9, 2024

Язык: Английский

Процитировано

0