Review
Green & Sustainable Science & Technology
Shuo Chen, Guomin Zhang, Xiaobo Xia, Yixing Chen, Sujeeva Setunge, Long Shi
Summary: This literature review summarized three main categories of occupant behaviors in buildings, emphasizing the importance of actual occupancy and interactions with buildings in determining energy consumption. Behavioral efficiency was highlighted as an efficient and economical method, but improvements are needed in categorizing and quantifying behavioral inputs. Window opening behavior and gender energy impacts were also discussed, highlighting the significance of understanding variations in personal and environmental controls. Overall, the results are important for identifying key factors and considerations for energy simulation and software development in the future.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Thermodynamics
Rui Tang, Shengwei Wang, Shaobo Sun
Summary: Occupant behavior plays a crucial role in building energy consumption. A new concept of technology-guided occupant behavior is proposed to coordinate occupant behavior with energy-efficient technologies for building energy controls. On-site tests in a Hong Kong campus building demonstrated that technology-guided occupant behavior could significantly reduce energy consumption of central air-conditioning systems.
BUILDING SIMULATION
(2021)
Review
Construction & Building Technology
Yuan Jin, Da Yan, Adrian Chong, Bing Dong, Jingjing An
Summary: This article reviews the literature on future building occupancy predictions, focusing on research purposes, physical routine, and methodology. Through summarizing and analyzing research objectives and occupancy prediction methods, as well as highlighting current challenges and prospects, the importance of accurate and robust future occupancy predictions for building system operations and energy conservation is emphasized.
ENERGY AND BUILDINGS
(2021)
Article
Construction & Building Technology
Jiasha Fu, Shan Hu, Xin He, Shunsuke Managi, Da Yan
Summary: This study conducted a national-wide survey in China to identify occupancy patterns in residential buildings and describe family profiles of typical occupancy pattern. The results showed that the average occupied duration for urban residential buildings is 20.3 hours per day during weekdays and 20.1 hours per day during weekends. Four occupancy patterns during workdays and five occupancy patterns during weekends were identified. Family demographic characteristics, housing characteristics, geographical location, education experience, work experience, and income level were found to be correlated with residents' occupancy pattern.
ENERGY AND BUILDINGS
(2022)
Article
Construction & Building Technology
Jin Yuan, Yan Da, Kang Xuyuan, Chong Adrian, Sun Hongsan, Zhan Sicheng
Summary: Building occupancy is crucial for building energy simulations, operations, and management. Occupancy forecasting, based on occupancy data and machine learning methods, plays a key role in energy conservation and optimizing the use of renewable energy sources.
ENERGY AND BUILDINGS
(2021)
Review
Green & Sustainable Science & Technology
Habtamu Tkubet Ebuy, Hind Bril El Haouzi, Riad Benelmir, Remi Pannequin
Summary: Occupant behavior has a significant impact on a building's energy system, leading to increased energy consumption. However, building energy performance analysis often overlooks occupant behavior. Therefore, this paper aims to provide a systematic literature review on energy-related occupant behaviors and their implications for energy performance.
Article
Construction & Building Technology
Jiefan Gu, Peng Xu, Ying Ji
Summary: This study proposes a fast method for calculating the influence of occupancy on the energy consumption of commercial buildings with different building layouts and existing occupancies. The results show that the method is suitable for engineering applications.
Review
Construction & Building Technology
Shayan Nejadshamsi, Ursula Eicker, Chun Wang, Jamal Bentahar
Summary: Buildings' occupant profiles at the urban scale are important for applications like Urban Building Energy Modeling (UBEM) and assessing energy consumption patterns. Estimating building occupancy profiles at the urban scale is challenging due to data availability and cost issues. This paper comprehensively reviews different aspects of building occupant profiles, approaches, and available data sources, and explores future research directions.
BUILDING AND ENVIRONMENT
(2023)
Review
Construction & Building Technology
Sorena Vosoughkhosravi, Amirhosein Jafari, Yimin Zhu
Summary: Occupant-building interaction has a critical role in energy consumption and efficiency improvement in buildings. With data-driven approaches, the use of the American Time Use Survey (ATUS) has enabled better investigation of this interaction in building energy modeling. This study comprehensively reviews 51 articles that utilize ATUS to study energy-related occupant-building interactions, categorizing the purposes into modeling occupancy schedules, occupant energy-related activity patterns, and building energy performance. The findings highlight current limitations and future research needs, contributing to both the knowledge domain and practical applications.
ENERGY AND BUILDINGS
(2023)
Article
Construction & Building Technology
Nikhil Singh Yaduvanshi, June Young Park
Summary: This research examines the impact of citizen involvement in residential building retrofits in the United States, focusing on single-family houses. The study highlights the importance of the residential sector in greenhouse gas emissions and the potential of energy retrofits to mitigate this impact. Through a comprehensive review of 66 retrofit programs and text mining on social media data, the research identifies various citizen involvement approaches and citizen perceptions of retrofit practices. The concept of Citizen Building Scientist is introduced to represent proactive and environmentally aware citizens who actively participate in and share knowledge for sustainable practices.
JOURNAL OF BUILDING ENGINEERING
(2023)
Review
Construction & Building Technology
Seddigheh Norouziasl, Amirhosein Jafari, Yimin Zhu
Summary: This study provides a systematic review of literature on modeling and simulating energy-related human-building interaction, analyzing 95 articles published in the last 15 years. The study offers a state-of-the-art framework for inputs and outputs used in modeling occupants' energy-use behavior and presents efficient techniques for future research in this area.
JOURNAL OF BUILDING ENGINEERING
(2021)
Review
Computer Science, Information Systems
Chinmayi Kanthila, Abhinandana Boodi, Karim Beddiar, Yassine Amirat, Mohamed Benbouzid
Summary: This paper explores the impact of increasing energy use in buildings on occupant comfort, with a focus on reducing energy consumption through monitoring behavior and estimating the number of occupants. A critical analysis is conducted on the current state and challenges of modeling techniques, along with recommendations and future perspectives.
Review
Green & Sustainable Science & Technology
Agnes Ramokone, Olawale Popoola, Ayokunle Awelewa, Ayodele Temitope
Summary: This study offers a chronological review of AI-based and conventional models in energy consumption prediction, emphasizing the importance of identifying drivers of consumption for building energy performance. Valuable recommendations for future research directions are provided based on the applications, strengths, and disadvantages of these models.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Construction & Building Technology
Soroush Samareh Abolhassani, Azar Zandifar, Negar Ghourchian, Manar Amayri, Nizar Bouguila, Ursula Eicker
Summary: Increasing building energy efficiency is crucial for advancing the mission of zero-carbon cities. Building energy simulations are important tools for various purposes, but they have limitations in modeling and predicting occupant behavior. This paper proposes a passive WiFi sensing method to estimate occupant behavior, which offers privacy protection and low deployment cost. This method has the potential to play a significant role in future zero-carbon and smart cities.
ENERGY AND BUILDINGS
(2022)
Review
Energy & Fuels
Le Na Tran, Gangwei Cai, Weijun Gao
Summary: This study examines the effects of variables such as physical and social factors on household energy in the context of global energy scarcity. The findings demonstrate the importance of occupant behavior as a significant driver of home energy demand, calling for increased research efforts and energy conservation strategies in emerging nations in the Asia-Pacific region.
Article
Computer Science, Information Systems
Prakhar Mohan, Bogyeong Lee, Theodora Chaspari, Changbum R. Ahn
Summary: The article focuses on assessing changes in a person's daily routine using data from nonintrusive motion sensors in a smart home environment. The proposed hierarchical clustering algorithm is shown to more reliably capture gradual changes in routineness compared to baseline approaches. Results indicate the effectiveness of the algorithm in capturing the gradual decline in routine patterns, important for early-stage dementia detection.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2021)
Article
Engineering, Industrial
YeSeul Kim, Hyunsoo Kim, Robin Murphy, SangHyun Lee, Changbum R. Ahn
Summary: Recent advances in robotic technologies have sparked interest in introducing robots to construction sites for closer collaboration with humans. This study investigates the perceptions and expectations of construction robots among trade workers and managers. Through qualitative content analysis of interviews with 36 construction professionals, the study reveals that job complexity and the perceived safety risk associated with specialized trade work significantly influence workers' desired capabilities for robots and their perceptions of robots' usefulness. These findings establish the fundamental conceptions of construction robots among workers and provide a foundation and direction for future development.
JOURNAL OF MANAGEMENT IN ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Jinwoo Kim, Ehsanul Haque Nirjhar, Jaeyoon Kim, Theodora Chaspari, Youngjib Ham, Jane Futrell Winslow, Chanam Lee, Changbum R. Ahn
Summary: Urban built environments are often filled with negative stimuli that induce stress symptomatology among urban populations. Biosignals can help assess pedestrian distress levels caused by these stimuli, but their accuracy is often affected by uncontrollable external factors. By integrating biosignal data with image-based data, a machine learning model can accurately capture and predict physiological responses to negative environmental stimuli, which can be applied to promote walking and walkable communities.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING
(2022)
Article
Engineering, Industrial
Bogyeong Lee, Seungjun Ahn, Changbum R. Ahn
Summary: As the role of facility managers in controlling and limiting the spread of COVID-19 among facility occupants is crucial, researchers have developed simulation models to predict occupants' physical distancing behaviors. However, these models do not consider spatial and temporal constraints in facilities. This study examines the impacts of such constraints on physical distancing behaviors in K-12 educational facilities. The findings indicate that spatial constraints significantly affect occupants' physical distancing behaviors, while temporal constraints have little influence.
JOURNAL OF MANAGEMENT IN ENGINEERING
(2022)
Review
Chemistry, Analytical
Qian Xu, Hui Ci Goh, Ehsan Mousavi, Hamed Nabizadeh Rafsanjani, Zubin Varghese, Yogesh Pandit, Ali Ghahramani
Summary: As humans spend more time indoors, ensuring acceptable indoor air quality (IAQ) through ubiquitous sensing systems has become a necessity. This study reviewed IAQ pollutants and other IAQ-related factors and their associated requirements in IAQ sensing standards. It also analyzed field studies on ubiquitous IAQ sensing (UIAQS) technologies and identified research gaps. The study concluded that a holistic and personalized approach incorporating UIAQS measurements and subjective feedback is needed to improve IAQ sensing technologies.
Article
Green & Sustainable Science & Technology
Subhaditya Shom, Kevin James, Mahmoud Alahmad
Summary: Battery Electric Vehicles (BEVs) have experienced substantial growth, but with geographical differences. This study examines demographic factors at the ZIP code level in 11 states in the United States to understand BEV readiness. The study finds that higher BEV adoption in a state leads to a stronger correlation between demographic factors and BEV uptake, with features related to high income individuals, owner-occupied housing units, individuals driving alone, and working from home showing the strongest correlation.
Article
Computer Science, Interdisciplinary Applications
Hoonyong Lee, Gaang Lee, Seongeun Park, SangHyun Lee, Jesse V. V. Jacobs, Changbum R. R. Ahn
Summary: Manual hazard identification in construction has challenges due to subjective perceptions, which can result in unidentified hazards and accidents. This study developed an approach to assess slip, trip, and fall (STF) hazards by measuring workers' loss of body balance (LOB) and visualizing their locations using GPS data. The approach showed promising results in detecting individual workers' exposures to STF hazards and identifying their locations.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Bogyeong Lee, Prakhar Mohan, Theodora Chaspari, Changbum Ryan Ahn
Summary: This study proposes a method for identifying older adults' activities of daily living (ADL) using unsupervised data segmentation process with high-dimensional sensor data. The proposed method considers both spatiotemporal and activity-oriented features to identify ADL routines without predefined rules or limited scope of features. The results show comparable accuracy to benchmark models and provide an efficient approach for assessing ADL routines.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING
(2023)
Article
Construction & Building Technology
Namgyun Kim, Niya Yan, Laurent Gregoire, Brian A. Anderson, Changbum R. Ahn
Summary: More than 100 fatal accidents occur in road work zones every year. Pedestrian workers being struck by construction vehicles is a major hazard, and researchers suggest that workers with certain personality traits are more likely to become habituated to workplace hazards and have a higher likelihood of being involved in an accident. This study investigated the correlation between personality traits and workers' accident proneness and vulnerability to habituation to warning alarms in road work zones using a virtual reality (VR) environment.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2023)
Article
Multidisciplinary Sciences
Namgyun Kim, Laurent Gregoire, Moein Razavi, Niya Yan, Changbum R. Ahn, Brian A. Anderson
Summary: In high-risk work environments, workers often become desensitized to hazards they regularly encounter, leading them to underestimate risks and engage in unsafe behaviors. This phenomenon, known as risk habituation, is identified as a major cause of workplace fatalities and injuries. Although there is currently no empirically supported intervention to curb risk habituation, this study explored the effect of experiencing a virtual accident on workers' perception of workplace hazards using electroencephalography (EEG). The findings suggest that the virtual accident intervention effectively reduces risk habituation both behaviorally and at the sensory level, offering new possibilities for occupational safety training.
Article
Construction & Building Technology
Sungboo Yoon, YeSeul Kim, Moonseo Park, Changbum R. Ahn
Summary: The study investigates the use of deictic gestures in construction and finds that spatial characteristics have an impact on the recognition and estimation of these gestures. The distance between the human and robot also affects the performance of the robot. The findings highlight the challenges in spatial referencing and emphasize the need for bidirectional communication in human-robot interaction.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2023)
Article
Computer Science, Information Systems
Andrew Parker, Sam Moayedi, Kevin James, Dongming Peng, Mahmoud A. Alahmad
Summary: Recent technological advancements in the built environment, such as AMI, advanced building control systems, and IoT, provide detailed information on building operations and user behavior. Building owners can use this data to manage operations better and interact with the grid, making buildings smarter and more efficient.
Article
Computer Science, Information Systems
Andrew Parker, Mhd Anas Alkrch, Kevin James, Ahmad Almaghrebi, Mahmoud A. Alahmad
Summary: The paper proposes a new framework to transform standard building load models into fully time- and voltage-dependent load profiles. This method overcomes the complexity of developing load models for all load component types and can estimate power reductions to a certain extent.
Article
Construction & Building Technology
Sam Moayedi, Hamed Nabizadeh Rafsanjani, Subhaditya Shom, Mahmoud Alahmad, Changbum R. Ahn
Summary: Electricity generation continues to rise to meet growing demand in built environments, highlighting the need for energy savings. A proposed method remotely locates and measures power consuming loads at every electrical node in buildings in real-time. The platform combines real-time power consumption data with occupant information to identify energy usage locations and amounts effectively.
ADVANCES IN BUILDING ENERGY RESEARCH
(2021)