Article
Construction & Building Technology
Yin Tang, Hang Yu, Hai Ye, Kege Zhang, Faming Wang, Huice Mao, Zi Wang
Summary: Clothing plays a role in the heat exchange between the human body and the environment, with varying thermal resistance across different body parts. Current standards lack the ability to estimate local clothing insulation, making it challenging for field studies and human experiments. This study proposes a method to estimate local insulation values based on overall insulation and presents its application in determining the insulation of ensembles. By developing prediction models based on thermal manikin tests, reference local insulation values can be obtained. This research provides standardized local clothing insulation values that can be used in heat transfer analysis and local thermal comfort research.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Yin Tang, Zixiong Su, Hang Yu, Kege Zhang, Chaoen Li, Hai Ye
Summary: This study measured the local insulation of 57 typical garments and 62 ensembles with different layers, finding significant differences in local insulation values compared to overall insulation values, especially varying greatly between different body parts. A new method for estimating the overall insulation of ensembles was proposed based on prediction equations of local insulation, resulting in a reduction of mean relative error from 12.6% to 3.4% compared to traditional linear regression equations. This study provides basic data and prediction equations for future research on clothing insulation and local thermal comfort.
BUILDING AND ENVIRONMENT
(2022)
Article
Construction & Building Technology
Shan Gao, Ryozo Ooka, Wonseok Oh
Summary: This study investigates the clothing insulation under different airspeeds and wind directions, finding that standing posture has higher insulation than sitting, and insulation decreases with increasing airspeed. Additionally, PMV and SET* values are influenced by wind direction and posture, and reducing clothing insulation due to airspeed results in smaller PMV and SET* values. It is essential to consider wind direction, posture, and reduction of clothing insulation caused by airspeed for reliable prediction of thermal comfort.
BUILDING AND ENVIRONMENT
(2021)
Article
Construction & Building Technology
Shan Gao, Ryozo Ooka, Wonseok Oh
Summary: Development of multi-node thermoregulation models with local clothing insulation as an input parameter enables distinguishing spatial and temporal changes in the thermal environment. However, research on local clothing insulation lags compared with multi-node thermoregulation models, affecting prediction accuracy. This study determined overall and local intrinsic clothing insulation values using different methods and found that methods and posture affect both overall and local intrinsic clothing insulation.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Sirong Qu, Zhiliang Wang, Weiwei Liu
Summary: This study established an outdoor clothing model for Changsha based on climate characteristics through two consecutive years of field experiments, verifying the assumption that clothing adjustment is influenced by temperature.
BUILDING AND ENVIRONMENT
(2021)
Article
Green & Sustainable Science & Technology
Karthik A. Sabapathy, Sateesh Gedupudi
Summary: This study focuses on the heat insulating potential of straw, which is an agricultural residue, used as part of the envelope of unconditioned buildings. Through transient thermal analysis and qualitative discussion, the thermal performances of different building envelope structures with and without straw insulation are compared and evaluated for representative summer and winter conditions in five different climatic zones in India.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Construction & Building Technology
Maria L. de la Hoz-torres, Antonio J. Aguilar, Nelson Costa, Pedro Arezes, Diego P. Ruiz, Ma Dolores Martinez-Aires
Summary: Providing suitable indoor thermal conditions is crucial for students' performance and well-being in educational buildings. A field survey was conducted to analyze and evaluate the clothing insulation of university students. A predictive clothing insulation model was developed using an artificial neural network algorithm, considering various factors such as indoor and outdoor temperatures, radiant temperature, gender, and season. The model showed good performance compared to the ASHRAE-55 Standard.
Article
Thermodynamics
Jose Luis Fernandez-Zayas, Juan Francisco Villa-Medina, Norberto Chargoy-del Valle, Miguel Angel Porta-Gandara
Summary: An experiment was conducted in a ten-story office building in Mexico City to evaluate natural ventilation, aiming to establish basic design considerations for effective ventilation. The results from temperature measurements, based on a simple mathematical model, showed consistent airflow patterns and specific characteristics of the ventilation phenomenon. The study validated the feasibility of using natural ventilation to provide passive thermal comfort throughout the year in Mexico City.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Construction & Building Technology
Bin Zhou, Bin Yang, Mengchun Wu, Yuyao Guo, Faming Wang, Angui Li
Summary: This study aimed to quantify the thermal sensation and air movement acceptability of occupants in an occupied space with stratified convective-heating systems. Results showed that subjects were more sensitive to local air movement at both calves and ankles, and low air temperature and high air speed may cause complaints about unacceptable air movement.
BUILDING AND ENVIRONMENT
(2022)
Article
Construction & Building Technology
Akito Nakagawa, Takashi Nakaya
Summary: Through studying the distribution of clothing insulation between the upper and lower body in a cold environment, it was found that adjusting the insulation of the upper body can affect the overall clothing insulation and adapt to the thermal environment.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Construction & Building Technology
S. Safarova, J. van Hoof, L. Law, K. K. Zander, S. T. Garnett
Summary: By analyzing the energy and thermal comfort performance of houses in Darwin, Australia, it was found that people have different perceptions of thermal comfort in higher temperature and humidity conditions and adapt accordingly.
ENERGY AND BUILDINGS
(2022)
Article
Construction & Building Technology
Samar Thapa, Ramkishore Singh, Mahesh Bundele, Sheetal Thapa, George Thadathil, Yogesh Kr. Jakhar
Summary: This study analyzed the thermal comfort status during the COVID-19 lockdown in India through an online survey. Results showed variations in clothing insulation, thermal sensation, opening of windows, and running of fans across different climatic regions, while an increase in lockdown days affected individuals' productivity, comfort, and desire to go outdoors.
Article
Construction & Building Technology
Victoria Patricia Lopez-Cabeza, Carlos Rivera-Gomez, Jorge Roa-Fernandez, Miguel Hernandez-Valencia, Rafael Herrera-Limones
Summary: Thermal inertia and natural ventilation are commonly used and studied strategies in indoor building performance. However, their effects on the outdoor microclimate have been little analyzed. This study investigates the thermal performance of courtyards by analyzing the effects of thermal inertia and ventilation using a real-scale prototype.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Patrick Nzivugira Duhirwe, Jack Ngarambe, Geun Young Yun
Summary: Occupant basic clothing insulation is crucial for calculating thermal comfort indices and HVAC sizing processes. However, inaccurate estimations of clothing behavior can lead to poorly designed indoor environments and unnecessary energy consumption. This study develops a convolutional neural network based on a large universal dataset, which accurately predicts occupant basic clothing insulation and outperforms conventional deep learning architectures.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Thermodynamics
Bingbing Liu, Haiying Wang, Ke Ji, Baowei Ge, Xiaoxia Zhang
Summary: A field investigation was conducted in a typical office building in Qingdao to study the indoor thermal environment and comfort. The results showed that the indoor air temperature was lower during the heating season and occupants used heating personal comfort systems to maintain comfort. Based on their usage preferences, occupants were divided into three groups, and it was found that those using heating personal comfort systems were more comfortable and had slightly higher working efficiency.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Review
Acoustics
Manuj Yadav, Densil Cabrera, Jungsoo Kim, Janina Fels, Richard de Dear
Summary: Based on measurements and analysis of the sound environment in 43 offices, the study found that the sound level in open-plan offices (OPOs) is related to the number of workstations, with larger offices experiencing less auditory distraction. Over historical trends, OPOs have become quieter.
Article
Construction & Building Technology
Jing Hou, Yuexia Sun, Yangrui Song, Jungsoo Kim, Thomas Parkinson, Richard de Dear
Summary: This study conducted a field research on adaptive comfort behaviors in residential buildings in Tianjin, China. Results showed that adjusting clothing insulation is crucial for achieving thermal comfort, and different thermally adaptive behaviors are adopted by occupants based on outdoor temperatures, such as using windows or turning on air conditioning.
INDOOR AND BUILT ENVIRONMENT
(2022)
Article
Construction & Building Technology
Ricardo Forgiarini Rupp, Thomas Parkinson, Jungsoo Kim, Jorn Toftum, Richard de Dear
Summary: Occupants' thermal sensitivity affects comfort temperature and adaptive comfort models, and varies according to building ventilation type and geographic region.
BUILDING AND ENVIRONMENT
(2022)
Article
Construction & Building Technology
Wenjie Ji, Richard de Dear, Jungsoo Kim, Yingxin Zhu, Bin Cao, Shuli Liu
Summary: The study found that the thermal preference of Chinese female migrants in Australia was influenced by their recent climatic exposure, and it takes about 1 week to adapt from a cold climate to a hot climate.
BUILDING AND ENVIRONMENT
(2022)
Article
Construction & Building Technology
Haiguo Yin, Xinping Zhai, Yuxuan Ning, Zhuohang Li, Zhenjun Ma, Xiaozhe Wang, Angui Li
Summary: This study evaluated the indoor air quality of residential buildings in Xi'an under cold climate conditions through long-term monitoring, highlighting the differences in the impact of mechanical ventilation and natural ventilation on indoor CO2 and PM2.5 levels under different conditions. It is recommended that the operation duration of mechanical ventilation should be greater than 9 hours when outdoor pollution is severe.
BUILDING AND ENVIRONMENT
(2022)
Article
Construction & Building Technology
Amir Omidvar, Jungsoo Kim
Summary: This study presents a combined thermoregulatory-cardiovascular model for predicting the effect of transient thermal environments on heart rate and cardiovascular responses. The model was validated using experimental data and found to accurately predict heart rate compared to existing models. The study also investigated the impact of different temperature changes on cardiovascular responses and found that higher temperature increases heart rate. The proposed model can be used to predict individualized thermal comfort and manage cardiovascular health risks associated with heat stresses.
BUILDING AND ENVIRONMENT
(2022)
Article
Construction & Building Technology
Bongchan Jeong, Jungsoo Kim, Dong Chen, Richard de Dear
Summary: This study examines the perception of thermal comfort and behavioral adaptation of residents in Sydney and Brisbane, Australia. The statistical analysis reveals that the current international standard of adaptive comfort model may not be suitable for residential buildings, and suggests expanding the acceptable temperature range to around 11 K. The findings also demonstrate that the climate influences the shifting of the 80% acceptability range.
BUILDING AND ENVIRONMENT
(2022)
Article
Construction & Building Technology
Bongchan Jeong, Jungsoo Kim, Dong Chen, Richard de Dear
Summary: This study aimed to develop a stochastic window operation model that considers the interdependency between occupant's window and A/C operation. The proposed model was tested through field observations and simulations, and a critical temperature for the influence of outdoor temperature on window opening was identified. The model can improve the accuracy of building energy performance and indoor environment simulations.
BUILDING AND ENVIRONMENT
(2022)
Article
Environmental Sciences
Naoe Nishihara, Jing Xiong, Jungsoo Kim, Hui Zhu, Richard de Dear
Summary: This study investigates the impact of thermal adaptive opportunities on cognitive performance and mental workload of building occupants. The findings suggest that the availability of adaptive opportunities can improve cognitive task performance and reduce mental fatigue, especially in a moderately warm environment.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Construction & Building Technology
Shujie Yan, Jing Xiong, Jungsoo Kim, Richard de Dear
Summary: This study proposes a method to assess sleeping thermal environment by modifying and converting an existing model, which has been validated through practical application. The research findings provide guidance for developing optimal bedroom temperature control strategies to enhance sleep thermal comfort.
BUILDING AND ENVIRONMENT
(2022)
Article
Construction & Building Technology
Jungsoo Kim, Jihye Ryu, Bongchan Jeong, Richard de Dear
Summary: This paper investigates the semantic issues of the seven-point thermal sensation scale and finds that the translations into Korean significantly diverge from the original English version. The study calls for a more systematic investigation into the linguistic dimensions of the scale to support consistent and standardized translations.
BUILDING AND ENVIRONMENT
(2022)
Article
Construction & Building Technology
Haiguo Yin, Daina Ji, Yuanyuan Wang, Yaokun Huo, Xin Deng, Jiali Wang, Zhenjun Ma, Angui Li
Summary: Column attachment ventilation mode (CAV) is a new form of air distribution that utilizes the Coanda effect to efficiently transport air from the top of a room to the lower occupied zone. This study investigated the movement and diffusion characteristics of particulate matter (PM) in CAV mode. The results showed that particles of different sizes had different behaviors, and the air supply temperature difference had a significant impact on PM distribution.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Construction & Building Technology
Yanyan Li, Haiguo Yin, Xin Deng, Linfeng Liang, Yongshou Zhang, Yongchao Zhai
Summary: This paper discusses the ventilation scheme design for improving air quality in sentry boxes with openings, using two attached ventilation modes as carriers. The study shows the effectiveness of creating a covering air curtain and diluting exhaust gases to prevent pollutant intrusion and enhance indoor air quality.
BUILDING AND ENVIRONMENT
(2022)
Article
Thermodynamics
Bongchan Jeong, Jungsoo Kim, Dong Chen, Richard de Dear
Summary: Studies on modelling residential occupant behaviour have gained popularity, but average behaviour profiles are insufficient for accurately predicting energy consumption. This study aims to develop a model that incorporates the diversity of occupants' behaviours and accurately predicts air-conditioning usage in residential settings. Field observations and simulations were conducted, demonstrating the model's predictive skill.
Article
Construction & Building Technology
Jiali Wang, Haiguo Yin, Yaokun Huo, Jingying Zhang, Linfeng Liang, Daina Ji, Zhu Chang, Zhenjun Ma, Angui Li
Summary: This paper compares three types of column attachment ventilation models (circular, square, and cross-shaped) through numerical simulation and experiments. The study shows that the cross-shaped column attachment ventilation has unique air distribution characteristics, creating a larger impinging zone near the internal corner. Compared with the square column attachment ventilation, the kinetic energy loss at the bottom of the cross-shaped column attachment ventilation increases by approximately 60%. This research provides a design basis for cross-shaped column attachment ventilation in buildings.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Parth Bansal, Steven Jige Quan
Summary: This study investigates the relationship between urban form and canopy layer urban heat island (CUHI) using a relatively large sample of microclimate sensors in Seoul, Korea. The study compares different statistical models and finds that the spatially explicit gradient boosting decision tree (GBDT) model has the highest accuracy. The study also shows that the effect of urban form on CUHI varies at different time instances during the day. These findings provide valuable insights for planners to understand the complexity of urban climate and reduce CUHI magnitude.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Miaomiao Liu, Salah Almazmumi, Pinlu Cao, Carlos Jimenez-bescos, John Kaiser Calautit
Summary: Windcatchers provide effective low-energy ventilation and summer passive cooling in temperate climates. However, their use in winter is limited due to significant ventilation heat loss and potential discomfort. This study evaluates the applicability of windcatchers in low-temperature conditions, highlighting the need for control strategies to reduce over-ventilation and the integration of heat recovery or thermal storage to enhance winter thermal conditions.
BUILDING AND ENVIRONMENT
(2024)
Review
Construction & Building Technology
Behrouz Nourozi, Aneta Wierzbicka, Runming Yao, Sasan Sadrizadeh
Summary: This article presents a systematic review of ventilation solutions in hospital wards, aiming to enhance pathogen removal performance while maintaining patient and healthcare staff comfort using air-cleaning techniques. The study reveals the importance of proper ventilation systems in reducing infection risk and adverse effects of cross-contamination.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Zhen Yang, Weirong Zhang, Hongkai Liu, Weijia Zhang, Mingyuan Qin
Summary: The study examines the influence of personalized local heating on the thermal comfort of occupants in old residential buildings. The findings reveal that personalized local heating can increase the overall thermal sensation of occupants, but only a few methods are effective in enhancing thermal comfort. The chosen heating methods and background temperature affect the participants' selection of heating parts.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Hong Cheng, Dan Norback, Huilin Zhang, Liu Yang, Baizhan Li, Yinping Zhang, Zhuohui Zhao, Qihong Deng, Chen Huang, Xu Yang, Chan Lu, Hua Qian, Tingting Wang, Ling Zhang, Wei Yu, Juan Wang, Xin Zhang
Summary: The home environment and sick building syndrome (SBS) symptoms in five southern Chinese cities have been studied over time. The study found a decrease in asthma prevalence and an increase in allergic rhinitis. Cockroaches, rats, mice, mosquitoes or flies were identified as consistent biological risk factors for SBS symptoms, while redecoration, buying new furniture, and traffic air pollution were identified as other risk factors.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Chaojie Xing, Zhengtao Ai, Zhiwei Liu, Cheuk Ming Mak, Hai Ming Wong
Summary: This study experimentally investigated the emission characteristics of droplets around the mouth during dental treatments. The results showed that the peak mass fraction of droplets occurs within the size range of 20 μm to 100 μm, and droplets with a diameter less than 200 μm account for over 80% of the mass fraction. The dominant emission direction of droplets is towards the dummy's head and chest, forming an approximately cone shape.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Zhijian Liu, Zhe Han, Lina Hu, Chenxing Hu, Rui Rong
Summary: This study compared the effects of different respiratory behaviors on the distribution of aerosols in a ward and the risk of infection for healthcare workers using numerical simulation. It was found that talking in the ward significantly increased aerosol concentrations, particularly short periods of talking. Wards designed with side-supply ventilation had lower overall infection risk. Talking alternately between healthcare workers and patients slightly extended the impact time of aerosols.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yan Yan, Mengyuan Kang, Haodong Zhang, Zhiwei Lian, Xiaojun Fan, Chandra Sekhar, Pawel Wargocki, Li Lan
Summary: In a high-density city, opening windows for sleep may lead to increased indoor temperature, higher PM2.5 concentration, and noise disturbance, which can negatively impact sleep quality.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yan Bai, Liang Liu, Kai Liu, Shuai Yu, Yifan Shen, Di Sun
Summary: This study developed a non-intrusive personal thermal comfort model using machine learning techniques combined with infrared facial recognition. The results showed that the ensemble learning models perform better than traditional models, and the broad learning model has a higher prediction precision with lower computational complexity and faster training speed compared to deep neural networks. The findings provide a reference for optimizing building thermal environments.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yue Lei, Zeynep Duygu Tekler, Sicheng Zhan, Clayton Miller, Adrian Chong
Summary: Mixed-mode ventilation is a promising solution for achieving energy-efficient and comfortable indoor environments. This study found that occupants can thermally adapt when switching between natural ventilation (NV) and air-conditioning (AC) modes within the same day, with the adaptation process stabilizing between 35 to 45 minutes after the mode switch. These findings are important for optimizing thermal comfort in mixed-mode controls, considering the dynamic nature of thermal adaptation.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Nan Mo, Jie Han, Yingde Yin, Yelin Zhang
Summary: This study develops a method based on the LCZ framework for a comprehensive evaluation of urban-scale heat island effects, considering the impact of geographic factors on LST. The results show that Guilin's geomorphological conditions lead to abnormal heat island effects during winter, and the cooling effects of mountains and water bodies vary seasonally in different built areas, with LCZ 2 exhibiting the strongest cooling effect.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Tunga Salthammer
Summary: Monitoring the potential formaldehyde emission of wood-based materials through test chamber investigations has significantly contributed to reducing indoor formaldehyde concentrations. However, the different methodologies used in these procedures prevent direct result comparison. Empirical models for converting formaldehyde steady-state concentrations based on temperature, humidity, air change rate, and loading were developed in the 1970s and have been modified to accommodate the development of lower-emitting materials. Formaldehyde emissions from wood-based materials are complex and require nonlinear regression tools for mathematical analysis.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Katarina Stebelova, Katarina Kovacova, Zuzana Dzirbikova, Peter Hanuliak, Tomas Bacigal, Peter Hartman, Andrea Vargova, Jozef Hraska
Summary: This study investigated the impact of reduced short-wavelength light on the hormone melatonin metabolite 6-sulfatoxymelatonin (u-sMEL) and examined the association between previous day's light exposure and u-sMEL. It was found that reducing short-wavelength light during the day did not change the concentration of u-sMEL. Personal photopic illuminance was positively correlated with u-sMEL in the reference week. The illuminance had a significant impact on u-sMEL, as shown by the evaluation of the mean of all three urine samples. However, this correlation was not found in the experimental week.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Ruoxin Xiong, Ying Shi, Haoming Jing, Wei Liang, Yorie Nakahira, Pingbo Tang
Summary: This study proposes a data-model integration method to identify and calibrate uncertainties in machine learning models, leading to improved thermal perception predictions. The method utilizes the Multidimensional Association Rule Mining algorithm to identify biased human responses and enhances prediction accuracy and reliability. The study also evaluates different calibration techniques and discovers their potential in enhancing prediction reliability.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Beichao Hu, Zeda Yin, Abderrachid Hamrani, Arturo Leon, Dwayne McDaniel
Summary: This paper introduces an innovative super-resolution approach to model the air flow and temperature field in the cold aisle of a data center. The proposed method reconstructs a high-fidelity flow field by using a low-fidelity flow field, significantly reducing the computational time and enabling real-time prediction.
BUILDING AND ENVIRONMENT
(2024)
