Article
Construction & Building Technology
Jingjing Pan, Nianping Li, Wen Zhang, Yingdong He, Xinhao Hu
Summary: This study investigated the effects of indoor solar radiation on human physiological and psychological responses in the summer, proposed a new calculation method to reduce prediction errors in thermal sensation, and found that humans have enhanced acceptance ability to air temperatures under indoor solar radiation.
BUILDING AND ENVIRONMENT
(2022)
Article
Construction & Building Technology
Xiaomeng Si, Jiuhong Zhang, Mingxiao Ma
Summary: This study explored the response patterns of human physiological parameters to sudden temperature changes in a shopping mall. The results showed that when the indoor temperature did not exceed 24 degrees Celsius and the temperature difference between hot and cold environments was greater than 30 degrees Celsius, it took an average of 12-18 minutes for the body to reach a new physiological equilibrium. Children required less time to return to a steady state compared to other age groups, and middle-aged adults preferred a slightly warmer indoor temperature.
Article
Construction & Building Technology
Yuxin Wu, Zixuan Zhang, Hong Liu, Baizhan Li, Baofan Chen, Risto Kosonen, Juha Jokisalo
Summary: There are differences in thermal perception and physiological responses between the elderly and young people in unstable thermal environments. The elderly have smaller variations and time lag in thermal responses, and reported less discomfort and complaints of sick building syndrome and perceived air quality. The skin temperatures of the arms and head of the elderly were lower in some conditions, indicating the need for more careful consideration of health risks.
BUILDING AND ENVIRONMENT
(2023)
Article
Biology
Yuxin Wu, Sheng Zhang, Hong Liu, Yong Cheng, Chunhui Liao
Summary: The study found that in warm environments, individuals are more sensitive to VTDs at the upper body part, with positive VTDs leading to more discomfort and heat stress. Therefore, the direction of VTDs should be considered when evaluating air distributions.
JOURNAL OF THERMAL BIOLOGY
(2022)
Article
Construction & Building Technology
Xiaoyu Tian, Junyu Yu, Weiwei Liu
Summary: This study investigates the application of facial skin temperature in evaluating thermal sensation. The experimental results show significant differences in skin temperature at different measurement points, with an increased uneven distribution as air temperature decreases. The study finds that nose skin temperature and the average skin temperature of the forehead, nose, and chin are the most suitable indicators of thermal sensation.
Article
Construction & Building Technology
Yiwen Jian, Shuwei Liu, Mengmeng Bian, Zijia Liu, Shengjie Liu
Summary: The study found that skin temperature and thermal sensation decrease over time, leading to participants turning off the air conditioning. Although there was no significant difference in skin temperature of exposed body parts, the probability of turning off air conditioning exponentially increased with the increasing air conditioning duration.
Article
Construction & Building Technology
Yuxin Wu, Zixuan Zhang, Hong Liu, Baizhan Li, Risto Kosonen, Juha Jokisalo, Weining Wang
Summary: Understanding thermal comfort in dynamic environments is crucial for developing air temperature control strategies. This study investigated the effects of air temperature change rates and directions on thermal perceptions and physiological responses. The results showed that temperature change direction had an impact on thermal sensation, with decreasing temperatures leading to lower thermal sensation votes. The study also proposed preliminary thermal comfort models suitable for hot summer climates.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Changyong Yu, Baizhan Li, Yuxin Wu, Baofan Chen, Risto Kosonen, Simo Kilpelainen, Hong Liu
Summary: This study compares the performance of individual thermal comfort prediction models using professional and practical data settings with different machine learning algorithms. Results show higher accuracy with professional data and the Cosine KNN and ensemble of Subspace KNN are identified as the best ML algorithms for professional and practical settings, respectively.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Construction & Building Technology
Xinbo Xu, Shuo Li, Yuxin Yang, Zhiwei Lian
Summary: This study investigated the persistent effects of three stable thermal environments on body temperature rhythm and thermal sensation during sleep process. The results showed that the pre-bed thermal environment influenced body temperature rhythm and sleep onset latency. The bedding system also played a significant role in regulating the impact of thermal environment on body temperature rhythm. Additionally, a novel method for evaluating sleeping thermal sensation was proposed.
ENERGY AND BUILDINGS
(2023)
Article
Construction & Building Technology
Yeyu Wu, Bin Cao
Summary: This study focuses on identifying individual thermal comfort requirements using infrared images and proposes prediction models based on machine learning algorithms. The results show that the machine learning models based on local skin temperature have similar prediction accuracy to traditional models and have significant feasibility for practical application.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Biology
Yuemei Wang, Haoyu Chang, Zhiwei Lian
Summary: This study explores the feasibility of using skin temperature to predict overall thermal sensation in non-uniform environments. The results suggest that the estimated RST methods with the measurement site on the chest and given a high weight can effectively reflect overall thermal sensation in non-uniform environments with local cooling on the chest.
JOURNAL OF THERMAL BIOLOGY
(2022)
Article
Construction & Building Technology
Xinbo Xu, Zhiwei Lian
Summary: The application of skin temperature in assessing thermal sensation has been important but limited. Individual differences in gender, age, and region are not properly represented by a single skin temperature, as core temperature and thermal sensitivity should be considered. In scenarios with dynamic core temperature, a single skin temperature is not suitable for comparing thermal sensation within or between groups. In this paper, a comprehensive thermal sensation evaluation index is proposed based on the latest thermo-physiology perspective.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Yiwen Jian, Yuchen Hou, Weiwei Liu, Xiaoyan Chang
Summary: The study found that the foot had the coldest sensation and the largest skin temperature change, influencing the overall thermal sensation (OTS) significantly. The impact of the foot's LTS on the OTS depended greatly on the air conditioner set point temperature and duration. When the set point temperature was below 26 degrees C, the OTS quickly approached and surpassed the foot's LTS, while above 26 degrees C, the approaching speed reduced significantly. The time-varying and temperature-varying characteristics of the relationship between the OTS and the foot's LTS provided new insights into air conditioner use behavior in split air conditioner buildings.
BUILDING AND ENVIRONMENT
(2021)
Article
Construction & Building Technology
Yuxiang Sun, Haodong Zhang, Yan Yan, Li Lan, Ting Cao, Zhiwei Lian, Xiaojun Fan, Pawel Wargocki, Jingwen Zhu, Xinbo Xu
Summary: This study investigated the correlation between wrist skin temperature (WST) and the thermal state of sleeping individuals. The results showed a moderate and positive correlation between WST and mean skin temperature (MST) calculated using the seven-point method. WST can differentiate different sleeping micro thermal environments and provide information on the thermal state of the human body during sleep.
ENERGY AND BUILDINGS
(2022)
Article
Construction & Building Technology
Shan Zhou, Baizhan Li, Chenqiu Du, Runming Yao, Linyuan Ouyang, Haixia Zhou, Risto Kosonen, Arsen Krikor Melikov, Liangyue Shang, Hong Liu
Summary: This study investigates the impact of daily temperature changes on the thermal responses of the elderly and establishes thermal prediction models specifically for them. The findings suggest that temperature changes and neutral thermal experiences significantly influence the thermal responses of the elderly, and they exhibit different responses compared to young people.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Haiying Wang, Songtao Hu
BUILDING AND ENVIRONMENT
(2016)
Article
Construction & Building Technology
W. Cui, H. Wang, T. Wu, Q. Ouyang, S. Hu, Y. Zhu
Article
Construction & Building Technology
Haiying Wang, Songtao Hu
BUILDING AND ENVIRONMENT
(2018)
Article
Construction & Building Technology
Haiying Wang, Lin Sun, Hongyu Guan, Songtao Hu
ENERGY AND BUILDINGS
(2018)
Article
Construction & Building Technology
Haiying Wang, Guodan Liu, Songtao Hu, Chao Liu
ENERGY AND BUILDINGS
(2018)
Article
Construction & Building Technology
Haiying Wang, Bjarne W. Olesen, Ongun B. Kazanci
ENERGY AND BUILDINGS
(2019)
Article
Construction & Building Technology
Haiying Wang, Lu Liu
ENERGY AND BUILDINGS
(2020)
Article
Construction & Building Technology
Haiying Wang, Manshu Xu, Chunxiao Bian
BUILDING AND ENVIRONMENT
(2020)
Article
Construction & Building Technology
Haiying Wang, Chonggen Shi, Wenyu Li, Lin Wang, Jie Wang, Gang Wang, Songtao Hu
Summary: The study investigated the thermal environment and thermal comfort level of a cold coastal village in winter, revealing that most local residents feel comfortable in low-temperature environments and exhibit adaptive behaviors. The findings can be used to evaluate and enhance the thermal environment of residences in cold coastal rural areas.
BUILDING AND ENVIRONMENT
(2021)
Article
Construction & Building Technology
Haiying Wang, Jie Wang, Wenyu Li, Shuwei Liang
Summary: The study found that the use of radiant leg warmers effectively improved the skin temperature and local skin temperature of office workers, enhancing thermal sensation and thermal comfort. In cognitive ability tests, using the leg warmer did not significantly impact task completion time but did decrease the error rate.
BUILDING AND ENVIRONMENT
(2022)
Article
Construction & Building Technology
Haiying Wang, Wenyu Li, Jie Wang, Manshu Xu, Baowei Ge
Summary: This study found that using larger size and higher power input heating mats can significantly improve subjects' thermal sensation, feet thermal sensation, and thermal comfort. When the air temperature decreases, feet thermal sensation should be higher to keep the total thermal sensation close to neutral. Heating mats also increase subjects' working efficiency, related to thermal sensation and thermal comfort.
BUILDING AND ENVIRONMENT
(2021)
Article
Construction & Building Technology
Samiran Khorat, Debashish Das, Rupali Khatun, Sk Mohammad Aziz, Prashant Anand, Ansar Khan, Mattheos Santamouris, Dev Niyogi
Summary: Cool roofs can effectively mitigate heatwave-induced excess heat and enhance thermal comfort in urban areas. Implementing cool roofs can significantly improve urban meteorology and thermal comfort, reducing energy flux and heat stress.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Qi Li, Jiayu Chen, Xiaowei Luo
Summary: This study focuses on the vertical wind conditions as a main external factor that limits the energy assessment of high-rise buildings in urban areas. Traditional tools for energy assessment of buildings use a universal vertical wind profile estimation, without taking into account the unique wind speed in each direction induced by the various shapes and configurations of buildings in cities. To address this limitation, the study developed an omnidirectional urban vertical wind speed estimation method using direction-dependent building morphologies and machine learning algorithms.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Xiaojun Luo, Lamine Mahdjoubi
Summary: This paper presents an integrated blockchain and machine learning-based energy management framework for multiple forms of energy allocation and transmission among multiple domestic buildings. Machine learning is used to predict energy generation and consumption patterns, and the proposed framework establishes optimal and automated energy allocation through peer-to-peer energy transactions. The approach contributes to the reduction of greenhouse gas emissions and enhances environmental sustainability.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Ying Yu, Yuanwei Xiao, Jinshuai Chou, Xingyu Wang, Liu Yang
Summary: This study proposes a dual-layer optimization design method to maximize the energy sharing potential, enhance collaborative benefits, and reduce the storage capacity of building clusters. Case studies show that the proposed design significantly improves the performance of building clusters, reduces energy storage capacity, and shortens the payback period.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Felix Langner, Weimin Wang, Moritz Frahm, Veit Hagenmeyer
Summary: This paper compares two main approaches to consider uncertainties in model predictive control (MPC) for buildings: robust and stochastic MPC. The results show that compared to a deterministic MPC, the robust MPC increases the electricity cost while providing complete temperature constraint satisfaction, while the stochastic MPC slightly increases the electricity cost but fulfills the thermal comfort requirements.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Somil Yadav, Caroline Hachem-Vermette
Summary: This study proposes a mathematical model to evaluate the performance of a Double Skin Facade (DSF) system and its impact on indoor conditions. The model considers various design parameters and analyzes their effects on the system's electrical output and room temperature.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Ruijun Chen, Holly Samuelson, Yukai Zou, Xianghan Zheng, Yifan Cao
Summary: This research introduces an innovative resilient design framework that optimizes building performance by considering a holistic life cycle perspective and accounting for climate projection uncertainties. The study finds that future climate scenarios significantly impact building life cycle performance, with wall U-value, windows U-value, and wall density being major factors. By using ensemble learning and optimization algorithms, predictions for carbon emissions, cost, and indoor discomfort hours can be made, and the best resilient design scheme can be selected. Applying this framework leads to significant improvements in building life cycle performance.
ENERGY AND BUILDINGS
(2024)