Article
Construction & Building Technology
Chao Huan, Sheng Zhang, Zhang Lin
Summary: The study found that the inner surface temperature based method has limited applicability in low-emissive indoor environments, which may lead to increased errors in thermal comfort prediction. This could hinder the energy-saving application of low-emissive coatings.
BUILDING AND ENVIRONMENT
(2021)
Article
Engineering, Electrical & Electronic
Izhar, Xiaoyi Wang, Wei Xu, Hadi Tavakkoli, Zhikun Yuen, Xiaofang Shan, Yi-Kuen Lee
Summary: This article presents a HTCS system based on MEMS sensors with improved accuracy compared to traditional systems, utilizing novel technology and algorithms. Experimental results show promising potential for integration into smart HVAC systems in the era of the Internet of Things.
IEEE SENSORS JOURNAL
(2021)
Article
Construction & Building Technology
Mohammad F. B. Suhaimi, Woo Geun Kim, Chung-Won Cho, Hyunjin Lee
Summary: This study investigates the impact of solar radiation on the mean radiant temperature (MRT) and proposes a modified solar-adjusted MRT model for vehicle cabins. The model is validated through experiments and demonstrates precise and reliable MRT predictions. The study emphasizes the importance of considering solar radiation in designing thermal comfort for vehicle occupants and provides insights into the vulnerability of specific body parts to solar radiation exposure.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Francesca Romana d'Ambrosio Alfano, Marco Dell'isola, Giorgio Ficco, Boris Igor Palella, Giuseppe Riccio
Summary: Mean radiant temperature is an essential physical quantity for evaluating thermal environments, with black globe thermometer being the most common measurement method. Studies have focused on factors like globe diameter, materials, and heat transfer modeling, but inconsistent results are due to difficulties in calibration. This study emphasizes on the accuracy of various types and sizes of globes through a metrological analysis in a controlled environment.
BUILDING AND ENVIRONMENT
(2021)
Article
Construction & Building Technology
Zhengrong Li, Xiwen Feng, Jingting Sun, Cui Li, Wenxuan Yu, Zhaosong Fang
Summary: A simple tree canopy radiative transfer model (STMRT) was developed to determine the mean radiant temperature (MRT) under a tree canopy. STMRT calculates the direct and diffuse solar radiation transfers based on leaf inclination angle distribution, and evaluates the longwave radiation emitted from the canopy by assuming the canopy surface temperature is the same as the surrounding air temperature. The accuracy of STMRT was evaluated and compared to that of 4SAIL, showing that Delta MRT in STMRT is typically less than 2.3°C. It was found that STMRT can help plan the outdoor thermal environment by evaluating the MRT under tree canopies.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Zhengrong Li, Xiwen Feng, Wensi Chen, Zhaosong Fang
Summary: This study quantifies the effects of ground view factor and ground temperature on the outdoor mean radiant temperature (MRT) through measurement and simulation. The findings suggest that in Shanghai summers, the influence of human height on MRT can be ignored under certain conditions, and non-uniform ground temperature has a noticeable impact on MRT.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Construction & Building Technology
Yuying Liang, Nan Zhang, Huijun Wu, Xinhua Xu, Ke Du, Jianming Yang, Qin Sun, Kaijun Dong, Gongsheng Huang
Summary: The study shows that the thermal environment and thermal comfort created by the DRCU under low radiant cooling temperatures meet the comfort criteria of the ASHRAE Standard.
BUILDING AND ENVIRONMENT
(2021)
Article
Thermodynamics
Mehmet Furkan Ozbey, Cihan Turhan
Summary: Thermal comfort expresses satisfaction with the thermal environment and is influenced by personal and environmental parameters. The mean radiant temperature is a complex parameter that can be obtained using different methods. This study found that using assumptions or calculation methods to determine the mean radiant temperature results in significant errors.
THERMAL SCIENCE AND ENGINEERING PROGRESS
(2022)
Article
Energy & Fuels
Sheng Zhang, Dun Niu, Zhang Lin
Summary: This study proposes a calculation method of the MRT which accurately estimates the RHD of the human body, effectively reducing the impact of low-emissive coatings on thermal comfort.
Article
Environmental Sciences
Eun-Sub Kim, Seok-Hwan Yun, Chae-Yeon Park, Han-Kyul Heo, Dong-Kun Lee
Summary: This study developed a method for estimating mean radiant temperature (MRT) in street canyons using Google Street View (GSV) images and analyzed its spatial patterns at a large scale. The proposed method was validated through regression analysis and showed good consistency with land surface temperature. The study provides valuable insights for understanding heat stress patterns at the street level.
Article
Construction & Building Technology
Zhibin Wu, Nianping Li, Stefano Schiavon
Summary: This study aimed to investigate the impact of temperature step-changes on human comfort and underlying physiological mechanisms in a radiantly cooled environment. The results showed significant changes in thermal sensation, comfort, acceptability, and subjective air freshness before and after temperature step-changes. Perceived sweat and chest tightness were also affected by the temperature changes. Physiological parameters, including skin temperature, heart rate, and heart rate variability, were significantly affected by the temperature step-changes.
BUILDING AND ENVIRONMENT
(2022)
Article
Environmental Sciences
Maria Angela Dissegna, Tiangang Yin, Hao Wu, Nicolas Lauret, Shanshan Wei, Jean-Philippe Gastellu-Etchegorry, Adrienne Gret-Regamey
Summary: The study introduces a new method using 3-D DART model for detailed modeling of Tmrt spatial distribution, capable of simulating Tmrt at different scales and considering various parameters. Additionally, the method demonstrates fine treatment of radiation, optical properties of materials, and vegetation composition.
Article
Thermodynamics
K. Dharmasastha, D. G. Leo Samuel, S. M. Shiva Nagendra, M. P. Maiya
Summary: A holistic energy conservation approach is needed to reduce the energy consumption of buildings. The innovative TAGFRG system integrates the energy-efficient TABS with eco-friendly GFRG, reducing both operational and embodied energies.
APPLIED THERMAL ENGINEERING
(2022)
Article
Construction & Building Technology
Eunho Kang, Ruda Lee, Jongho Yoon, Heejin Cho, Dongsu Kim
Summary: Measuring all indoor surface temperatures or using a black globe thermometer are good methods for obtaining accurate MRT, but it is difficult to apply in practice. Grouping similar surfaces instead of measuring all indoor surface temperatures can reduce efforts and costs, but may lead to erroneous MRT estimation, which needs further investigation.
Article
Construction & Building Technology
Timur Dogan, Patrick Kastner, Remy Mermelstein
Summary: The study introduces a new algorithm for outdoor thermal comfort simulation, which estimates exterior surface temperatures to reduce computational complexity. The algorithm shows good accuracy and reduced simulation times, making it applicable to urban design and urban comfort evaluation.
BUILDING AND ENVIRONMENT
(2021)
Article
Energy & Fuels
Jihoon Jang, Jinmog Han, Min-Hwi Kim, Deuk-won Kim, Seung-Bok Leigh
Summary: This study analyzed indoor and outdoor data to identify room conditions that significantly impact heating and cooling energy consumption in buildings. Through a decision tree analysis, factors such as window area ratio, floor area ratio, and frequency of use were determined to be influential in building energy consumption, leading to the classification of four room types based on key factors identified in the study.
Article
Construction & Building Technology
Jihoon Jang, Jinmog Han, Seung-Bok Leigh
Summary: This study examines the effect of applying the operation pattern data of a non-residential building on the prediction performance of long short-term memory (LSTM) models. The results show that incorporating the building operation data as input variables leads to better prediction performance.
ENERGY AND BUILDINGS
(2022)