Article
Energy & Fuels
Jiebing Wang, Kairui You, Lingling Qi, Hong Ren
Summary: This study explores the spatio-temporal evolution and urban-rural gap in carbon emissions of the residential building sector in China. It utilizes the gravity center model to analyze the movement of carbon emissions gravity center and identifies the driving factors behind the differences between urban and rural residential buildings. The results show that the carbon emissions gravity center of both residential building types tends to move south, with the northeast and northwest regions playing significant roles in driving the gravity center movement of urban and rural residential buildings, respectively. Per capita disposable income is identified as the primary factor affecting the gravity center movement. Additionally, the study suggests a potential westward movement of the gravity center in the future. Overall, this research fills a gap in understanding the spatial-temporal evolution of carbon emissions in the Chinese residential building sector and provides insights for targeted emission reduction policies in urban and rural areas.
Article
Environmental Sciences
Chang Gan, Kai Wang, Mihai Voda
Summary: The decoupling relationship between carbon emissions and economic development in the service sector has been observed in China. Despite the fluctuating effects of energy efficiency and energy structure, the reduction in carbon emissions in most provinces is still smaller compared to industrial scale.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Wei Chen, Qian Zhang, Ziyan Gao, Yong Geng, Yu Cheng, Xu Tian
Summary: This study conducted a case study of carbon emissions in the Haixi region of western China, and the results showed that the carbon emissions in this region have continued to increase over the past decade. Economic activity was found to be the main driver for the increase in carbon emissions, while industrial structure had a negative impact on carbon emissions.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Environmental Studies
Zhiwen Li, Jiandong Chen, Ping Wang, Ziqi Zhou, Xingyu Chen
Summary: Based on the analysis of data from 330 prefecture-level cities in China from 2003 to 2017, this study found that carbon emissions in Chinese cities increased to varying degrees during the study period and exhibited a distinct spatial distribution pattern. Additionally, although the decrease in carbon intensity played a significant role in reducing carbon emissions, it was not enough to offset the incremental gains associated with economic growth. The temporal and spatial impacts of human activities on carbon emissions in most cities were not synergistic.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Engineering, Environmental
Shulei Cheng, Yongtao Chen, Fanxin Meng, Jiandong Chen, Gengyuan Liu, Malin Song
Summary: By analyzing data from 279 cities in China, it was found that cities with similar socio-economic conditions exhibit emission differences, mainly influenced by the carbon intensity of local public expenditure and other public expenditures. Insights gained can provide feasible implications for Chinese cities in terms of CO2 emissions reduction policies.
RESOURCES CONSERVATION AND RECYCLING
(2021)
Article
Construction & Building Technology
Minda Ma, Wei Feng, Jingwen Huo, Xiwang Xiang
Summary: This study assesses the decarbonization level of commercial buildings in China's major megalopolises. The findings indicate that economic growth effects and energy consumption are the main drivers of carbon emissions, and the decarbonization levels have improved in some megalopolises. The research provides valuable insights for planning low-carbon development and achieving carbon neutrality goals.
BUILDING AND ENVIRONMENT
(2022)
Article
Environmental Sciences
Xichun Luo, Chengkun Liu, Honghao Zhao
Summary: As the most open and economically dynamic region in China, the Guangdong-Hong Kong-Macao Greater Bay Area plays a leading role in low-carbon development and provides a framework for other regions. This study presents a research framework using the Logarithmic Mean Divisia Index (LMDI) and system dynamics (SD) to analyze CO2 emissions in the GBA and surrounding cities. The results show that CO2 emissions have been increasing, but per capita emissions have been decreasing and the overall carbon intensity of each sector has been declining. Factors such as GDP growth, transport vehicles, and population have the greatest impact on CO2 emissions. Technological innovation measures are the most effective in reducing emissions, followed by industrial structure optimization. Under comprehensive emission reduction measures, the region can achieve carbon emissions peaking in 2026 and significant carbon intensity reduction by 2030.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Construction & Building Technology
Liming Chen, Minda Ma, Xiwang Xiang
Summary: This study uses the GDIM to analyze the decarbonization performance in commercial building operations (CBOs) of sixteen countries during 2000-2019. The results show that global carbon emissions from CBOs have increased, with contrasting trends in the U.S. and China. The U.S. and China contributed the most to the decarbonization of CBOs.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Energy & Fuels
Zbigniew Golas
Summary: This paper analyzes the changes in CO2 emissions related to energy consumption in the Polish agricultural sector between 2000 and 2019. The study finds that energy consumption has a significant impact on CO2 emissions, with little change in the energy mix predominantly driven by fossil fuels. Reductions in energy intensity and employment contribute to the decrease in CO2 emissions, while the increase in labor productivity leads to an increase in CO2 emissions.
Article
Environmental Sciences
Ran Yan, Xiwang Xiang, Weiguang Cai, Minda Ma
Summary: This study reveals that operational carbon emissions from residential buildings in China increased from 2000 to 2018, with provinces in northern China reaching peak decarbonization before 2008, while central and eastern provinces peaked around 2014. Southern provinces continued to show growth in decarbonization efforts. High levels of decarbonization and efficiency were observed in northern and southwestern provinces.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Zaenhaer Duman, Xianqiang Mao, Bofeng Cai, Qingyong Zhang, Yongpeng Chen, Yubing Gao, Zhi Guo
Summary: This study analyzes data from 335 cities in China and uses the standard deviation ellipse method to depict the unbalanced and differential spatiotemporal evolution patterns of environmental emissions and socioeconomic elements. The study finds decoupling trends among carbon emissions, GDP, and population, and reveals that economic growth has been the main driver of carbon emissions and air pollution nationally but its role has weakened. The study also identifies decreases in energy intensity and carbon and pollution intensities as the main factors contributing to emissions reductions. The underlying reasons for the unbalanced spatiotemporal patterns are differentiated spatiotemporal economic structure evolution, regional heterogeneities in energy intensity and efficiency, and cross-region power energy transmissions. Policy suggestions can be made based on these findings to address the imbalances and promote carbon mitigation, air quality improvement, and high-quality social-economic development at the city level.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Business
Sicen Liu, Xiaodong Chen, Zhiyang Shen, Tomas Balezentis
Summary: This paper proposes a framework based on the LPI and LMDI approach to analyze the energy-economy-environment nexus, and applies it to the empirical case of China's industrial sector. The results show important spatial variation in the productivity measures and analyze the factors influencing industrial energy consumption and SO2 emissions.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2022)
Article
Construction & Building Technology
Wanying Li, Zhengsen Ji, Fugui Dong
Summary: This study explores the spatial decomposition and influencing factors of urban CO2 emissions by evaluating the decoupling relationship between urban development levels and CO2 emissions. The results show regional differences in CO2 emission intensity and electricity consumption intensity. Cities are also classified into nine types based on their development status and resource endowment. Population intensity is identified as the most critical factor contributing to inter-group differences in urban CO2 emissions.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Energy & Fuels
Xiwang Xiang, Minda Ma, Xin Ma, Liming Chen, Weiguang Cai, Wei Feng, Zhili Ma
Summary: This study evaluates the decarbonization progress of commercial building operations in 16 countries over the last two decades and reveals that emission factors and industrial structures are key to reducing carbon emissions. The energy intensity effects have started to promote global decarbonization in commercial building operations, and the implementation of specific strategies and measures has had a positive impact on decarbonization.
Article
Energy & Fuels
Vicent Alcantara, Emilio Padilla, Pablo Del Rio
Summary: The research analyzed the main drivers of CO2 emissions in the electricity generation sector in Spain from 1991 to 2017, identifying the impact of different effects such as carbonization, transformation, fossil intensity, electricity intensity, and production effects. The study found that the relevance of these drivers changed over four subperiods, with fossil intensity, electricity intensity, and production effects playing a significant role in emissions increase in the first half of the period, while carbonization and fossil intensity effects were dominant in emissions reductions from 2006 to 2010. This research provides insights into the effectiveness of different measures in reducing emissions.
ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY
(2022)
Review
Construction & Building Technology
Fan Zhang, Heinz -Axel Guo, Zhengxuan Liu, Guoqiang Zhang
Summary: This paper comprehensively reviews the current status of RC systems in China, including policies, standards, application cases, and existing engineering difficulties. The study highlights the challenges and opportunities in the adaption of RC technology in China and also discusses energy-saving potential and methods for further research.
ENERGY AND BUILDINGS
(2021)
Article
Green & Sustainable Science & Technology
Di Qin, Zhengxuan Liu, Yuekuan Zhou, Zhongjun Yan, Dachuan Chen, Guoqiang Zhang
Summary: A novel vertical air-soil heat exchanger (VASHE) with diversified energy storage components, including annular and tubular phase change material (PCM), is proposed. An enthalpy-based model is developed to characterize the heat transfer mechanism in PCM. Results show that RT 20 in tubular PCM is the most promising, and accurate PCM location is an effective solution to balance cooling capacity and outlet temperature amplitude.
Article
Green & Sustainable Science & Technology
Mingjing Xie, Yuran Wang, Zhengxuan Liu, Guoqiang Zhang
Summary: This study investigated and evaluated the exploration and assessment of natural ventilation in different location patterns of rural residential buildings in the mountainous terrain of China. Through on-site surveys and wind tunnel experiments, it was found that a distance of 12 meters between the buildings and hilly terrain is the best option for building natural ventilation. Using CFD methods, the natural ventilation effectiveness under different location patterns was simulated, and the most favorable location pattern for natural ventilation was obtained.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Energy & Fuels
Yingdong He, Yuekuan Zhou, Jia Liu, Zhengxuan Liu, Guoqiang Zhang
Summary: This study proposes a framework for inter-city energy migration based on transportation, which enables sharing and balancing of energy resources, reducing regional energy imbalance and carbon emissions.
Review
Energy & Fuels
Ge Song, Zhengtao Ai, Zhengxuan Liu, Guoqiang Zhang
Summary: This study comprehensively summarizes and analyzes the recent studies and common utilization forms of smart ventilation and personalized ventilation systems based on CO2 concentration control, providing guidance for reducing energy consumption and improving indoor thermal comfort.
Review
Energy & Fuels
Mingjing Xie, Yangzi Qiu, Yishuang Liang, Yuekuan Zhou, Zhengxuan Liu, Guoqiang Zhang
Summary: This paper comprehensively analyzes the application and development of BIM technology in building sustainability and informatization in China, finding that the application is widespread but at a relatively low level, and there is a lack of standards and domestic tools. Future research directions and recommendations are provided.
Article
Construction & Building Technology
Yuekuan Zhou, Zhengxuan Liu
Summary: Transition towards a carbon-neutral district energy community requires carbon elimination and offsetting strategies, which can be achieved by using phase change materials (PCMs) with substantial potential latent energy density. However, there is currently an ambiguous roadmap for the application of PCMs in carbon-neutral transition, making a comprehensive review on latent thermal storage necessary.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Construction & Building Technology
Yan Hu, Zhengxuan Liu, Zhengtao Ai, Guoqiang Zhang
Summary: Ventilative cooling is an energy-saving technology that improves indoor air quality while reducing thermal discomfort and overheating risk in buildings. However, the lack of an optimal control strategy hinders its widespread application. This study developed a building model to evaluate the performance of ventilative cooling systems in different cities of China. The findings suggest that an adaptive thermal comfort model may not be optimal in terms of energy efficiency, and considering radiant temperature is important for accurate energy usage estimation. The study also highlights the importance of eliminating drawbacks in the control limits to effectively harness the energy-saving potential of ventilative cooling.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Construction & Building Technology
Zhengxuan Liu, Chenxi Yu, Queena K. Qian, Ruopeng Huang, Kairui You, Henk Visscher, Guoqiang Zhang
Summary: This study aims to deeply analyze the incentive initiatives related to existing building energy-efficient renovation in China, establish the policy linkages between national and local level perspectives, and provide critical analysis and good practices for two batches of pilot cities. The study also discusses the barriers to building energy-efficient renovation from four perspectives and proposes targeted pathways and strategies.
ENERGY AND BUILDINGS
(2023)
Article
Construction & Building Technology
Zhengxuan Liu, Xiang Zhang, Ying Sun, Yuekuan Zhou
Summary: This study provides a comprehensive review of advanced controls for smart and energy-efficient (SEE) buildings, including advanced building energy systems, machine learning based controls, and occupant-centric controls. The study also explores the applications of advanced controls in energy-efficient and low-carbon buildings, and highlights the challenges and future prospects in terms of complexity, AI-based controllers, and climate change adaptation.
ENERGY AND BUILDINGS
(2023)
Article
Construction & Building Technology
Jie Hu, Zhengxuan Liu, Guochuan Ma, Guoqiang Zhang, Zhengtao Ai
Summary: Previous studies have shown that the air infiltration in buildings and its impact on indoor environment and energy consumption are influenced by climate characteristics. However, there is limited information available for buildings in southern China, where the building design traditionally emphasizes openness and shading. This study investigates the airtightness and energy consumption in a Hot Summer and Cold Winter climate region of southern China using measurements and simulations.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Ruopeng Huang, Guiwen Liu, Kaijian Li, Zhengxuan Liu, Xinyue Fu, Jun Wen
Summary: This study proposes an agent-based model to investigate the development of residents' cooperative behavior in neighborhood renewal. The results show that government intervention and management of residents' social relationships play a crucial role in achieving better outcomes. The study also highlights the influence of social network structures on residents' cooperative behavior.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2023)
Review
Computer Science, Artificial Intelligence
Zhengxuan Liu, Ying Sun, Chaojie Xing, Jia Liu, Yingdong He, Yuekuan Zhou, Guoqiang Zhang
Summary: This study summarizes commonly used AI-related approaches and discusses their functional advantages in various renewable energy sectors, as well as their contribution to optimizing the operational control modalities of renewable energy and improving overall operational effectiveness.
Article
Construction & Building Technology
Yapin Yang, Ying Sun, Mingsi Chen, Yuekuan Zhou, Ran Wang, Zhengxuan Liu
Summary: This paper develops a BIM-based fire safety management system platform for construction sites, which includes four subsystems: remote monitoring, fire visualization, multi-stage fire alarm, and escape route optimization. Results show that this system can provide informative and on-time fire protection measures to construction sites.
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)
