Article
Computer Science, Information Systems
Yuna Matsumoto, Manami Kanamaru, Phan Xuan Tan, Eiji Kamioka
Summary: The lack of temperature control in airplane cabins has led to discomfort among passengers during long-distance flights. Therefore, a personalized air conditioning control method is needed. This study proposes a seat-type air conditioning system that adjusts the temperature to each part of the body and aims to identify the appropriate temperature setting based on individual thermal sensation. It was found that changing the temperature setting by 2.5 degrees C per scale of the thermal sensation improves passenger comfort. People who tend to feel cold are more sensitive to temperature changes, indicating that personalized air conditioning based on individual thermal sensitivity characteristics is feasible.
Article
Thermodynamics
Jingsi Zhang, Xiang Zhou, Song Lei, Maohui Luo
Summary: The Personal Comfort System (PCS) aims to enhance thermal comfort satisfaction and reduce air conditioning energy consumption. Through experiments, simulations, and energy analysis, it has been shown that PCS can significantly improve occupants' thermal comfort and reduce energy consumption by 25%-40%.
BUILDING SIMULATION
(2022)
Article
Thermodynamics
Palanisamy Dhamodharan, Bakthavatsalam Kannappan Ayalur, J. Judefelix, Rajendran Prabakaran, Sung Chul Kim
Summary: The applicability of recovered air-conditioning condensate in a Ceiling Mounted Radiant Cooling Unit (CMRCU) for achieving thermal comfort in a cabin has been studied. The study includes field assessment, exergy analysis, simulation, and experiments. The results show that using the recovered condensate can enhance the system performance and achieve thermal comfort in the cabin. Additionally, a thermal energy storage system can prolong the thermal comfort period. Energy and economic analysis demonstrate that effective use of the condensate can save energy and fulfill the requirements for green building certification.
APPLIED THERMAL ENGINEERING
(2024)
Article
Thermodynamics
Junqiang Shao, Zhiyuan Huang, Yugui Chen, Depeng Li, Xiangguo Xu
Summary: This paper presents an economical and practical model predictive control algorithm for reducing energy consumption in direct-expansion (DX) air-conditioning systems, while maintaining thermal comfort. The algorithm was experimentally validated on both an experimental DX A/C system and a market available split-type air-conditioner, showing significant energy savings without compromising comfort.
Article
Green & Sustainable Science & Technology
Guofu Luo, Tianxing Sun, Haoqi Wang, Hao Li, Jiaqi Wang, Zhuang Miao, Honglei Si, Fuliang Che, Gen Liu
Summary: A cloud-edge-device architecture based energy-saving control framework for central air conditioning is proposed in this paper to address three shortcomings in existing energy-saving methods. The framework establishes a recurrent neural network prediction model for human comfort and introduces an intelligent energy-saving control strategy that considers human-machine-environment factors. Experimental results demonstrate the effectiveness of the proposed method in reducing energy consumption of central air conditioning.
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
Construction & Building Technology
Xi Meng, Lianyu Yan, Fudan Liu
Summary: Combining a living wall with air-conditioning can improve the indoor thermal environment, reduce CO2 concentration, and enhance subjective evaluation on indoor environment.
BUILDING AND ENVIRONMENT
(2022)
Article
Construction & Building Technology
Kuniaki Mihara, Chandra Sekhar, Yuichi Takemasa, Bertrand Lasternas, Kwok Wai Tham
Summary: In an actual university building, a design studio equipped with DOAS-CF provided better thermal comfort and air quality compared to the computer lab with FCU, with a 27.7% energy consumption saving due to higher setpoint temperature and occupants' behavioral adaptation.
BUILDING AND ENVIRONMENT
(2021)
Article
Thermodynamics
Zubing Mao, Feilong Li, Qianjin Su, Zhaosong Fang, Xiaoning Xu, Yunfei Ding
Summary: The study proposes an energy-saving optimization control strategy for terminal units based on a constant chilled water temperature difference, which significantly reduces energy consumption, improves environmental comfort, and effectively reduces the energy consumption of central air conditioning systems.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Construction & Building Technology
Peiping Zheng, Chunxiao Wang, Yanchen Liu, Borong Lin, Huijun Wu, Yu Huang, Xiaoqing Zhou
Summary: This study on office users' adaptive behaviors in a multi-person office with air conditioning systems in Guangzhou, China, reveals the importance of understanding users' behaviors for creating comfortable indoor thermal environments. The study shows that indoor temperature and globe temperature significantly influence the probabilities of adaptive behaviors, with men engaging in hot adaptive behaviors at a lower indoor temperature compared to women.
BUILDING AND ENVIRONMENT
(2022)
Article
Construction & Building Technology
Bhoopendra Choudhary, Udayraj
Summary: The developed coupled CFD-thermoregulation model accurately predicts the performance of air ventilation clothing. It can analyze the performance under different climatic conditions and activity levels, providing valuable insights for improving thermal comfort.
ENERGY AND BUILDINGS
(2022)
Article
Thermodynamics
Zhenggen Wang, Jun Xu, Yongbiao Wang, L. W. Wang, R. Z. Wang
Summary: The paper discusses China's leading position in the world for high-speed railways, presents a simulation model to calculate thermal load and electricity consumption, and proposes six technical means to improve energy efficiency and save energy in high-speed train air conditioning systems. Experimental results show significant reductions in electricity consumption with the implementation of these technical means.
APPLIED THERMAL ENGINEERING
(2021)
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
Zixu Yang, Chenqiu Du, Hansong Xiao, Baizhan Li, Wenxing Shi, Baolong Wang
Summary: Energy efficiency and thermal comfort are important factors in evaluating the performance of air conditioning units. This study proposes a new index, the thermal comfort effective energy performance factor, which considers both energy efficiency and thermal comfort. The results show that lower set-point temperatures, higher supply airspeed, and more vertical supply air angles provide optimal performance in terms of energy efficiency and thermal comfort.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
JiaZhen He, YeHu Lu, WenZhen Su, FangMing Wang, WenFang Song, LaiLi Wang, Min Wang
Summary: Maintaining thermal comfort in cold indoor environments is important, and using advanced clothing such as an air inflatable suit can effectively improve personal thermal management. The air-inflated suit not only increases clothing thermal insulation but also alleviates cold strain and provides higher skin and body temperatures. This technology can significantly reduce energy consumption and greenhouse gas emissions.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2023)
Article
Construction & Building Technology
Li Lan, Jieyu Tang, Pawel Wargocki, David P. Wyon, Zhiwei Lian
Summary: This study successfully created thermal comfort conditions at different temperatures by adjusting clothing and air velocity. The study found that cognitive performance decreased significantly at elevated temperatures, with higher perceived workload and more intense subclinical health symptoms reported by subjects. Therefore, ensuring a comfortably cool environment is important for maintaining cognitive performance.
Article
Construction & Building Technology
Xinbo Xu, Jingwen Zhu, Cong Chen, Xinqiao Zhang, Zhiwei Lian, Zhijian Hou
Summary: This study analyzed the changes in skin temperature during sleep-wake transformation by monitoring the physiological signals and skin temperature of 14 subjects. The results showed that the skin temperature gradient could serve as a quantitative index for sleep-wake classification, and there were significant changes in the skin temperature gradients before falling asleep and after waking up.
ENERGY AND BUILDINGS
(2022)
Article
Biology
Yongxiang Shi, Zhiwei Lian, Shengqian Hu, Yingying Hu
Summary: This study examined the influence of temperature, relative humidity, and CO2 concentration on anaerobic exercise performance. Results showed that temperature was a significant factor affecting peak power and average power, while changes in relative humidity and carbon dioxide concentration did not have a significant effect on anaerobic exercise performance.
JOURNAL OF THERMAL BIOLOGY
(2022)
Article
Environmental Sciences
Junmeng Lyu, Yongxiang Shi, Cong Chen, Xinqiao Zhang, Wei Chu, Zhiwei Lian
Summary: Commercial kitchens generate significant amount of PM2.5, posing health risks to workers. In this study, PM2.5 concentrations and emission rates were measured in different types of commercial kitchens. Teppanyaki kitchens had the highest PM2.5 emissions and posed the highest exposure risk to chefs. The PM2.5 concentrations varied with different cooking processes, with stir-frying having the highest concentration.
ENVIRONMENTAL POLLUTION
(2022)
Article
Construction & Building Technology
Xinbo Xu, Heng Du, Zhiwei Lian
Summary: This paper summarizes the characteristics of human-environment researches, points out the misconceptions, and provides suggested methods from three perspectives: selection of determination coefficients, consideration of independent variables, and application of regression models.
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
Junmeng Lyu, Jinbo Li, Zisheng Zhao, Xiongwei Miao, Heng Du, Dayi Lai, Yuxin Yang, Zhiwei Lian
Summary: This study analyzed the differences in household A/C temperature setpoint behaviors in three climate zones and applied five machine learning algorithms to model the A/C temperature setpoint behavior. The results showed that the behavior is related to time, indoor/outdoor air temperature, temperature setpoint before settings, and cumulative time the A/C is turned on. The ML algorithms performed well in predicting user behavior with large data sizes.
ENERGY AND BUILDINGS
(2023)
Article
Environmental Sciences
Ting Nie, Dayi Lai, Kuixing Liu, Zhiwei Lian, Yanping Yuan, Liangliang Sun
Summary: This study compared the Universal Thermal Climate Index (UTCI) with the Physiological Equivalent Temperature (PET) and outdoor air temperature (Ta) to explore its applicability in cold regions. The results showed that UTCI, PET, and Ta had a good linear relationship with outdoor human thermal sensation. However, there may be an invalid interval for UTCI in cold regions, and it is not recommended as an evaluation index for outdoor thermal comfort in such regions.
Article
Construction & Building Technology
Qiantao Zhao, Zhiwei Lian, Xinbo Xu
Summary: The current calculation methods of mean skin temperature did not perform well in some thermal comfort evaluations. In this study, a new calculation method for mean skin temperature was developed, taking into account factors such as receptor distribution, gender differences, ambient temperature, and local thermal stimulation. An experiment was conducted to test the new method, which showed higher accuracy in predicting thermal comfort compared to conventional methods, especially for females. This new calculation method provides an improved tool for thermal comfort assessment and has implications for future research.
INDOOR AND BUILT ENVIRONMENT
(2023)
Article
Biology
Xinbo Xu, Yuxin Yang, Ting Cao, Ting Nie, Zhiwei Lian
Summary: This research focused on the influence of skin temperature on thermal perception and found that both skin temperature and breath temperature had significant changes with ambient temperature and were significantly related to subjective thermal perception. The prediction accuracy of breath temperature for thermal perception was comparable to that of skin temperature.
JOURNAL OF THERMAL BIOLOGY
(2023)
Article
Construction & Building Technology
Fanzhuo Zhou, Zhaojun Wang, Yuxin Yang, Chang Liu, Lin Duanmu, Yongchao Zhai, Zhiwei Lian, Bin Cao, Yufeng Zhang, Xiang Zhou, Jingchao Xie
Summary: Individual differences in thermal sensation are influenced by age, gender, and BMI. Among these factors, age has the greatest impact, followed by gender, and then BMI. The results showed that the neutral temperature increases with age, females have a higher neutral temperature compared to males, and an increase in BMI leads to an increase in neutral temperature.
ENERGY AND BUILDINGS
(2023)
Article
Construction & Building Technology
Heng Du, Zisheng Zhao, Junmeng Lyu, Jinbo Li, Zhiqiang Liu, Xiangyang Li, Yuxin Yang, Li Lan, Zhiwei Lian
Summary: This paper investigates the impact of gender differences on thermal comfort under coupled environmental factors, with previous studies primarily focusing on air temperature alone. The experiment involved 27 subjects, 13 males and 14 females, experiencing various combinations of air temperature and air velocity. The findings reveal significant gender differences in colder environments with low air temperatures and elevated air velocity, while in hotter environments, males tend to feel more uncomfortable compared to females. The study emphasizes the need to consider gender differences when designing indoor thermal environments, especially in colder conditions.
ENERGY AND BUILDINGS
(2023)
Article
Environmental Sciences
Yuchen Hou, Bin Cao, Yingxin Zhu, Hui Zhang, Liu Yang, Lin Duanmu, Zhiwei Lian, Yufeng Zhang, Yongchao Zhai, Zhaojun Wang, Xiang Zhou, Jingchao Xie
Summary: This study investigated the relationship between outdoor temperature, indoor temperature, and thermal sensation from a global perspective. The influence of spatiotemporal heterogeneity on health studies was also explored. It was found that considering indoor temperature or individual thermal exposure is important in temperature-related health studies.
ENVIRONMENT INTERNATIONAL
(2023)
Article
Engineering, Industrial
Yongxiang Shi, Jialin Wu, Li Lan, Zhiwei Lian
Summary: This paper quantitatively studied the interactions among operative temperature, relative humidity, and ventilation rate, and their effects on work performance. The results showed that there were antagonistic effects between operative temperature and relative humidity, between operative temperature and ventilation rate, and among the three factors on perception and expression tasks. However, there was a synergy effect between relative humidity and ventilation rate. For reasoning tasks, there was an antagonistic effect among the three factors and their combinations.
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)
