A Generalized Thermal Comfort Model using Thermographic Images and Compact Convolutional Transformers: Towards Scalable and Adaptive Occupant Comfort Optimization DOI
Vincent Gbouna Zakka, Minhyun Lee

Building and Environment, Год журнала: 2024, Номер 266, С. 112118 - 112118

Опубликована: Сен. 24, 2024

Язык: Английский

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

Yeyu Wu

и другие.

Building and Environment, Год журнала: 2024, Номер 262, С. 111820 - 111820

Опубликована: Июль 6, 2024

Язык: Английский

Процитировано

11

Integrating immersive virtual reality (VR) technologies and multimodal IoT-enabled wireless sensor networks for real-time smart human-centered HVAC building system interaction and thermal comfort assessment and visualization DOI
Mohsen Mohammadi, Ghiwa Assaf, Rayan H. Assaad

и другие.

Smart and Sustainable Built Environment, Год журнала: 2025, Номер unknown

Опубликована: Фев. 8, 2025

Purpose By harnessing technology developments such as Internet-of-Things (IoT)-enabled intelligent sensors and immersive virtual reality (VR) experiences, facility managers can access real-time, precise information on thermal comfort-related indicators through models. While prior research studies have developed key technologies for improving the understanding of comfort its impact occupants’ well-being productivity, there remain areas yet to be explored, especially in relation integrating both real-time data from multimodal IoT-enabled smart VR technologies. Hence, this study demonstrates potential IoT assessment visualization well user interaction with HVAC systems enhance comfort. Design/methodology/approach To develop proposed integrated analytical framework paper, various steps were implemented. First, four sensing stations created installed collect (i.e. temperature relative humidity). Second, a environment was using Unity engine offer an experience. Third, into by transmitting it cloud via MQTT protocol server, programming scripts provide multiple functionalities users, including visualizing along entire indoor space interacting controlling cooling heating systems. Fourth, applicability effectiveness validated evaluated 92 participants survey questionnaire. Findings The obtained results importance aspects graphical satisfaction, spatial presence, involvement, experienced realism, low-to-no cybersickness overall application among others. More specifically, findings reflected that participants’ average scores sense involvement realism 4.69, 4.61, 4.71 4.53 out 5, respectively. showed capabilities serve powerful feature enables comprehensive variations across room/office space. Also, no statistically significant differences between responses experience those limited-to-no experience, thus further highlighting usefulness not only users but also different skills background. Originality/value This has revolutionize way built environments are managed interacted with, where monitor, assess visualize interact control devices real-world distance framework’s ability dynamic continuously updated assessments conditions positions valuable tool prompt adjustments optimize levels. Ultimately, provides intuitive platform manage comfort, promoting healthier, more productive eco-friendly environments.

Язык: Английский

Процитировано

1

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

Yeyu Wu,

Jiaqi Zhao, Bin Cao

и другие.

Energy and Buildings, Год журнала: 2023, Номер 301, С. 113666 - 113666

Опубликована: Окт. 21, 2023

Язык: Английский

Процитировано

20

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

Yeyu Wu,

Bin Cao, Yingxin Zhu

и другие.

Building and Environment, Год журнала: 2023, Номер 246, С. 110958 - 110958

Опубликована: Окт. 20, 2023

Язык: Английский

Процитировано

19

Local thermal environment and thermal comfort of a novel low-temperature radiant structure using CFD simulation DOI
Yuying Liang, Huijun Wu, Jianming Yang

и другие.

Energy and Buildings, Год журнала: 2024, Номер 308, С. 114007 - 114007

Опубликована: Фев. 18, 2024

Язык: Английский

Процитировано

8

Comparative feasibility study of physiological signals from wristband-type wearable sensors to assess occupants' thermal comfort DOI
Sung-Woo Moon,

Sun Sook Kim,

Byungjoo Choi

и другие.

Energy and Buildings, Год журнала: 2024, Номер 308, С. 114032 - 114032

Опубликована: Фев. 27, 2024

Язык: Английский

Процитировано

7

Temporal and spatial heterogeneity of indoor and outdoor temperatures and their relationship with thermal sensation from a global perspective DOI Creative Commons

Yu‐Chen Hou,

Bin Cao, Yingxin Zhu

и другие.

Environment International, Год журнала: 2023, Номер 179, С. 108174 - 108174

Опубликована: Авг. 26, 2023

People spend most of their time indoors. However, indoor temperature and individual thermal exposure are generally not considered in epidemiological studies health. Based on the American Society Heating, Refrigerating, Air-Conditioning Engineers (ASHRAE) RP-884 Database, ASHRAE Global Thermal Comfort Database II Chinese this study first explored relationship between outdoor temperature, sensation from a global perspective. Moreover, potential influence spatiotemporal heterogeneity health was explored. A breakpoint found at approximately 11.5 °C segmented regression slope curve greater when above (n = 67,896). multi-group propensity score matching (PSM) generalizedadditivemodels (GAM), temperatures after adjusting for building type year. Furthermore, influenced by temperature. This highlights importance considering or temperature-related studies.

Язык: Английский

Процитировано

15

Enhancing thermal comfort through leading-edge design, monitoring, and optimization technologies: A review DOI

Nitin Rane,

Saurabh Choudhary, Jayesh Rane

и другие.

SSRN Electronic Journal, Год журнала: 2023, Номер unknown

Опубликована: Янв. 1, 2023

This research paper offers a thorough examination of strategies geared towards enhancing thermal comfort within constructed spaces through the incorporation state-of-the-art design, monitoring, and optimization technologies. In light escalating challenges brought about by climate change increasing demand for sustainable energy-efficient building solutions, quest improved has emerged as central focus in architectural engineering research. The initiates its exploration delving into contemporary design principles that underscore significance passive strategies, such optimal orientation, shading devices, natural ventilation. It elucidates synergies between elements comfort, emphasizing how innovative designs can foster ideal indoor conditions while reducing reliance on energy-intensive heating, ventilation, air conditioning (HVAC) systems. A substantial segment review is dedicated to monitoring technologies enabling real-time assessment environmental parameters. integration sensors, data analytics, Building Information Modelling (BIM) facilitates nuanced comprehension dynamics, allowing adaptive responses evolving conditions. discusses role wearable devices occupant feedback systems capturing subjective perceptions, thereby enriching pool more comprehensive analysis. Moreover, delves burgeoning field technologies, encompassing utilization machine learning algorithms artificial intelligence management These empower predictive modeling optimizing HVAC operations, minimizing energy consumption. synthesis these not only enhances well-being but also aligns with global endeavours forge resilient built environments amid challenges.

Язык: Английский

Процитировано

12

Enhancing energy efficiency and comfort with a multi-domain approach: Development of a novel human thermoregulatory model for occupant-centric control DOI Creative Commons
Annamaria Buonomano, Cesare Forzano, Verônica Martins Gnecco

и другие.

Energy and Buildings, Год журнала: 2023, Номер 303, С. 113771 - 113771

Опубликована: Ноя. 19, 2023

Occupant Centric Control (OCC) strategies aims to achieve a more personalized and comfortable indoor environment, translating occupants' comfort requirements into real environmental conditions. This strategy relies on multilevel non-linear programming optimization procedure determine optimal thermo-hygrometric setpoints. The objective is minimize space heating cooling while addressing multi-domain concerns related individual thermal sensations perceived air quality. To facilitate this process, study adopts novel Personal Comfort Model (PCM), incorporating physiological factors predict CO2 intakes. PCM's reliable predictive capabilities are confirmed through validation with experimental data from test room at the University of Perugia. For detailed energy analyses, considering subjective preferences, PCM seamlessly integrated DETECt, an in-house building performance simulation tool developed by Naples Federico II, for design advanced control algorithms efficiency strategies. effectively manage HVAC system, model implemented, using determined setpoints ensure mechanical ventilation maximize cost savings. proof concept methodology involves simulating tests human body new facility management be simulated optimized means enhanced tool, exploited operation occupant-centric sustainable buildings. proposed demonstrates that OCC enables significant reduction in discomfort (40% 60% less than occupation time 1 2, respectively) compared reference scenarios. Additionally, analysis reveals high efficiency, achieving savings 12.8% 7.8% electricity consumed system operation.

Язык: Английский

Процитировано

11

Data-efficient Comfort Modeling: Active Transfer Learning for Predicting Personal Thermal Comfort using Limited Data DOI
Zeynep Duygu Tekler, Yue Lei, Adrian Chong

и другие.

Energy and Buildings, Год журнала: 2024, Номер 319, С. 114507 - 114507

Опубликована: Июль 3, 2024

Язык: Английский

Процитировано

4