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Journal articles on the topic 'Energy-related occupant behavior'

Author: Grafiati

Published: 14 March 2023

Last updated: 31 July 2025

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1

D'Oca, Simona, H. Burak Gunay, Sara Gilani, and William O'Brien. "Critical review and illustrative examples of office occupant modelling formalisms." Building Services Engineering Research and Technology 40, no. 6 (2019): 732–57. http://dx.doi.org/10.1177/0143624419827468.

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It is widely understood that occupants can have a significant impact on building performance. Accordingly, the field has benefited extensively from research efforts in the past decade. However, the methods and terminology involved in modelling occupants in buildings remains fragmented across a large number of studies. This fragmentation represents a major obstacle to those who intend to join in this research endeavor as well as for the convergence and standardization of methods. To address this issue, this paper investigates occupant modelling methods for the key domains of electric lighting,

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Ebuy, Habtamu Tkubet, Hind Bril El Haouzi, Riad Benelmir, and Remi Pannequin. "Occupant Behavior Impact on Building Sustainability Performance: A Literature Review." Sustainability 15, no. 3 (2023): 2440. http://dx.doi.org/10.3390/su15032440.

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Occupant behavior controls a building’s energy system to adapt the indoor environment, significantly increasing building energy consumption. Occupant behavior, which refers to the occupancy inside a building and their interaction with building systems (windows, blinds, thermostats, lighting and appliances, etc.), has been largely overlooked in building energy performance analysis. These factors make it essential to design sustainable buildings. It is widely acknowledged in the literature that there is an alarming performance gap between the estimated and actual energy consumption in buildings.

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Ergöz Karahan, Ebru, Özgür Göçer, Kenan Göçer, and Didem Boyacıoğlu. "An Investigation of Occupant Energy-Saving Behavior in Vernacular Houses of Behramkale (Assos)." Sustainability 13, no. 23 (2021): 13476. http://dx.doi.org/10.3390/su132313476.

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Despite its well-known potential to reduce energy use, the inquiry of whether vernacular architecture prompts its occupants to have energy-saving behavior has been neglected. This paper aims to investigate the influence of vernacular houses on the behavior of their occupants and other parameters affecting occupant behavior. Along with site observations, 117 surveys including multiple choice and open-ended questions were conducted with households living in vernacular houses and new houses in the historical settlement, Behramkale (Assos). A principal component analysis was conducted for the whol

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Maghsoudi Nia, Elham, Queena Qian, and Henk Visscher. "An Investigation of Occupants’ Energy Perceptions in Energy Efficient Retrofitted Residential Buildings: A Review Paper." IOP Conference Series: Earth and Environmental Science 1085, no. 1 (2022): 012021. http://dx.doi.org/10.1088/1755-1315/1085/1/012021.

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Abstract Buildings are the main sector in energy consumption and CO2 emissions. Retrofitting of existing building has been identified as one of the significant strategies for reducing the impacts of buildings on energy and environment. However, recent studies have shown that low energy buildings mostly do not perform as expected. These differences are related to different factors including the interaction between occupants and building technologies. Thus, most renovation initiatives have not considered occupant behavior equally to the energy efficiency process. Many of the existing studies hav

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Yang, Lin, Sha Liu, and Jiaqi Liu. "The Interaction Effect of Occupant Behavior-Related Factors in Office Buildings Based on the DNAS Theory." Sustainability 13, no. 6 (2021): 3227. http://dx.doi.org/10.3390/su13063227.

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Occupant behavior is acknowledged as a main contribution to building energy consumption. Many efforts have been devoted to identifying the impact of occupant behaviors on building energy consumption. However, the lack of understanding of the interaction effects among occupant behavior-related factors, to some extent, can lead to inaccurate results. To decode these complex interactions, this study was conducted to investigate the interaction effects of occupant behavior-related factors. A survey based on the Drive-Need-Action-System (DNAS) theory was used to describe the occupant behaviors. The

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Heidari, Amirreza, Francois Marechal, and Dolaana Khovalyg. "An adaptive control framework based on Reinforcement learning to balance energy, comfort and hygiene in heat pump water heating systems." Journal of Physics: Conference Series 2042, no. 1 (2021): 012006. http://dx.doi.org/10.1088/1742-6596/2042/1/012006.

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Abstract A major challenge in the operation of water heating systems lies in the highly stochastic nature of occupant behavior in hot water use, which varies over different buildings and can change over the time. However, the current operational strategies of water heating systems are detached from occupant behavior, and follow a conservative and energy intensive approach to ensure the availability of hot water any time it is demanded. This paper proposes a Reinforcement learning-based control framework which can learn and adapt to the occupant behavior of each specific building and make a bal

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Kalvelage, Kelly, and Michael C. Dorneich. "Using Human Factors to Establish Occupant Task Lists for Office Building Simulations." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (2016): 450–54. http://dx.doi.org/10.1177/1541931213601102.

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The purpose of this research is to establish an in-depth understanding of task-related occupant behaviors to serve as the basis for the design of an occupant-building interaction interface. Building simulations are frequently used to design buildings and predict energy performance. Yet, all of these assumptions are related to occupant behavior and interactions with the building. In an occupant-controlled environment, an understanding of the occupant decision-making process must be represented in the simulation task lists. Current task lists assume general occupant behaviors based on averages,

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Karatzas, Stylianos K., Athanasios P. Chassiakos, and Anastasios I. Karameros. "Business Processes and Comfort Demand for Energy Flexibility Analysis in Buildings." Energies 13, no. 24 (2020): 6561. http://dx.doi.org/10.3390/en13246561.

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Occupant behavior and business processes in a building environment constitute an inseparable set of important factors that drives energy consumption. Existing methodologies for building energy management lag behind in addressing these core parameters by focusing explicitly on the building’s structural components. Additional layers of information regarding indoor and outdoor environmental conditions and occupant behavior patterns, mostly driven by everyday business processes (schedules, loads, and specific business activities related to occupancy patterns and building operations), are necessary

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Ding, Yan, Xiao Pan, Wanyue Chen, Zhe Tian, Zhiyao Wang, and Qing He. "Prediction Method for Office Building Energy Consumption Based on an Agent-Based Model Considering Occupant–Equipment Interaction Behavior." Energies 15, no. 22 (2022): 8689. http://dx.doi.org/10.3390/en15228689.

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Traditional building energy consumption prediction methods lack the description of occupant behaviors. The interactions between occupants and equipment have great influence on building energy consumption, which cause a large deviation between the predicted results and the actual situation. To address this problem, a two-part prediction model, consisting of a basic part related to the building area and a variable part related to stochastic occupant behaviors, is proposed in this study. The wavelet decomposition and reconstruction method is firstly used to split the energy consumption. A relatio

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Zhang, Zhouchen, Jian Yao, and Rongyue Zheng. "Multi-Objective Optimization of Building Energy Saving Based on the Randomness of Energy-Related Occupant Behavior." Sustainability 16, no. 5 (2024): 1935. http://dx.doi.org/10.3390/su16051935.

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Given the escalating global energy demand driven by building energy consumption, this study is dedicated to meticulously investigating efficient energy-saving strategies in buildings, with a keen focus on the impact of occupant behavior’s randomness on energy efficiency and multi-objective optimization. The methodology encompassed a thorough analysis of various energy consumption factors, including building envelope and architectural form. We employed Latin Hypercube Sampling for in-depth sampling studies across each factor’s reasonable range. Utilizing Sobol sensitivity analysis, we pinpointe

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Mun, Sun-Hye, Younghoon Kwak, and Jung-Ho Huh. "Influence of Complex Occupant Behavior Models on Cooling Energy Usage Analysis." Sustainability 13, no. 3 (2021): 1243. http://dx.doi.org/10.3390/su13031243.

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The behavior of building occupants has been studied by researchers for building control as well as for predicting energy use. In this study, we analyzed the effect of the application of single and complex behavior models on the simulation results of residential buildings. Two occupant behaviors—window opening and closing and air conditioner (AC) usage—were simulated, which are known to be interconnected. This study had two purposes: The first was to integrate data analysis tools (R in this study) and building simulation tools (EnergyPlus in this study) so that two behaviors with interconnectiv

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Pourtangestani, Mojgan, Nima Izadyar, Elmira Jamei, and Zora Vrcelj. "Linking Occupant Behavior and Window Design through Post-Occupancy Evaluation: Enhancing Natural Ventilation and Indoor Air Quality." Buildings 14, no. 6 (2024): 1638. http://dx.doi.org/10.3390/buildings14061638.

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This study investigates how window design features, such as size, placement, and orientation, might impact occupants’ behavior related to natural ventilation in residential houses and how residents manage natural ventilation to affect indoor air quality (IAQ), comfort, and energy efficiency. By analyzing responses from a questionnaire distributed among 200 occupants, this article reveals that stuffy air, perceived outdoor pollutants, odors, and relative humidity, along with factors like inadequate ventilation, temperature fluctuations, and energy consumption concerns, emerge as primary issues

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Xuanyuan, Peisong, Jian Yao, Ala Deen Knefaty, and Sossou Espoir Laurice. "A SENSITIVITY ANALYSIS METHOD COMBINING DEMPSTER-SHAFER THEORY AND MACHINE LEARNING FOR ENERGY-SAVING EVALUATION OF BUILDING OCCUPANT BEHAVIOR." Journal of Green Building 19, no. 2 (2024): 91–110. http://dx.doi.org/10.3992/jgb.19.2.91.

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ABSTRACT For a very long time, the research of the sensitivity analysis of occupant behavior to energy assessment has been in the spotlight. The key element of the research is determining the exact probability of occupant behavior uncertainty. However, due to the specificity of occupant behavior, data on occupant behavior from different independent sources of information can differ significantly. This paper explores the use of Dempster-Shafer theory to the sensitivity analysis of energy evaluation of occupant behavior in buildings. The Dempster-Shafer theory is an imprecise probability theory

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Chen, Yixing, Xin Liang, Tianzhen Hong, and Xuan Luo. "Simulation and visualization of energy-related occupant behavior in office buildings." Building Simulation 10, no. 6 (2017): 785–98. http://dx.doi.org/10.1007/s12273-017-0355-2.

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Pivac, Nikolina, Sandro Nizetic, and Vlasta Zanki. "Occupant behavior and thermal comfort field analysis in typical educational research institution: A case study." Thermal Science 22, Suppl. 3 (2018): 785–95. http://dx.doi.org/10.2298/tsci170915013p.

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An experimental field study has been conducted for typical educational research building facility (office building). The research data was gathered by the systematic monitoring of the offices and adaptive occupant behavior during the typical working day in the spring period. Different sensors and data loggers for temperature, relative humidity, CO2 concentration, had been mounted in order to collect data for analysis of thermal comfort conditions. Moreover, occupant surveys and interviews in form of questionnaire were also brought to examine the psychological and social impacts of the occupant

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Asadi, Iman, Norhayati Mahyuddin, and Payam Shafigh. "A review on indoor environmental quality (IEQ) and energy consumption in building based on occupant behavior." Facilities 35, no. 11/12 (2017): 684–95. http://dx.doi.org/10.1108/f-06-2016-0062.

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Purpose The purpose of this paper is to review the concept of occupant behavior and its relation with indoor environmental quality (IEQ) and building energy consumption. The behavior is referred to any direct or indirect action, which is selected by an occupant to manage the unpleasant indoor environmental conditions. Thermal comfort, indoor air quality, aural comfort and visual comfort are the key factors of IEQ evaluation. Human behavior significantly interacts with energy consumption in buildings. Design/methodology/approach Each IEQ parameter was reviewed separately and the overall IEQ acc

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Salvia, Giuseppe, Eugenio Morello, Federica Rotondo, et al. "Performance Gap and Occupant Behavior in Building Retrofit: Focus on Dynamics of Change and Continuity in the Practice of Indoor Heating." Sustainability 12, no. 14 (2020): 5820. http://dx.doi.org/10.3390/su12145820.

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Building retrofit is often reported to fail in achieving predicted energy savings; this mismatch in post-retrofit conditions is labeled the ‘energy performance gap’ and may be due to both occupant behavior and technical issues. In this study, the occupant is investigated through a case study of a recently retrofitted public housing in Milan inhabited by 500+ tenants. Informed by social practice theory and interviews to households, concurrent and interdependent elements in heating space are identified—including factors of comfort, competences involved and other interconnected practices. Pattern

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Hong, Tianzhen, Sarah C. Taylor-Lange, Simona D’Oca, Da Yan, and Stefano P. Corgnati. "Advances in research and applications of energy-related occupant behavior in buildings." Energy and Buildings 116 (March 2016): 694–702. http://dx.doi.org/10.1016/j.enbuild.2015.11.052.

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Fajilla, Gianmarco, Marilena De Simone, Luisa F. Cabeza, and Luís Bragança. "Assessment of the Impact of Occupants’ Behavior and Climate Change on Heating and Cooling Energy Needs of Buildings." Energies 13, no. 23 (2020): 6468. http://dx.doi.org/10.3390/en13236468.

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Energy performance of buildings is a worldwide increasing investigated field, due to ever more stringent energy standards aimed at reducing the buildings’ impact on the environment. The purpose of this paper is to assess the impact that occupant behavior and climate change have on the heating and cooling needs of residential buildings. With this aim, data of a questionnaire survey delivered in Southern Italy were used to obtain daily use profiles of natural ventilation, heating, and cooling, both in winter and in summer. Three climatic scenarios were investigated: The current scenario (2020),

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Deme Bélafi, Zsófia, and András Reith. "Interdisciplinary survey to investigate energy-related occupant behavior in offices – the Hungarian case." Pollack Periodica 13, no. 3 (2018): 41–52. http://dx.doi.org/10.1556/606.2018.13.3.5.

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Yu, Hao, Vivian W. Y. Tam, and Xiaoxiao Xu. "A systematic review of reinforcement learning application in building energy-related occupant behavior simulation." Energy and Buildings 312 (June 2024): 114189. http://dx.doi.org/10.1016/j.enbuild.2024.114189.

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Morishita, Naomi. "Consistent Modeling of Occupant Behavior in Detailed and Simplified Calculation Methods for Heating Energy Need." Energy Procedia 78 (November 1, 2015): 645–50. https://doi.org/10.1016/j.egypro.2015.11.048.

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In Austria, user behavior is considered as a set of static values in the energy certificate calculations. As part of the research of Annex 53, “Total Energy Use in Buildings”, the static user profile is challenged as an accurate representation of user behavior. A consistent approach has been formulated to derive average values for the energy performance calculations for residential buildings along with probability distributions for energy demand for different qualities of building envelopes.

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Zhang, Yan, Xuemei Bai, and Franklin P. Mills. "Characterizing energy-related occupant behavior in residential buildings: Evidence from a survey in Beijing, China." Energy and Buildings 214 (May 2020): 109823. http://dx.doi.org/10.1016/j.enbuild.2020.109823.

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Bruse, Marcel, Romain Nouvel, Parag Wate, Volker Kraut, and Volker Coors. "An Energy-Related CityGML ADE and Its Application for Heating Demand Calculation." International Journal of 3-D Information Modeling 4, no. 3 (2015): 59–77. http://dx.doi.org/10.4018/ij3dim.2015070104.

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Different associated properties of city models like building geometries, building energy systems, building end uses, and building occupant behavior are usually saved in different data formats and are obtained from different data sources. Experience has shown that the integration of these data sets for the purpose of energy simulation on city scale is often cumbersome and error prone. A new application domain extension for CityGML has been developed in order to integrate energy-related figures of buildings, thermal volumes, and facades with their geometric descriptions. These energy-related fig

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Kosonen, Heta Karoliina, and Amy Ahim Kim. "Advancement of behavioral energy interventions in commercial buildings." Facilities 35, no. 5/6 (2017): 367–82. http://dx.doi.org/10.1108/f-04-2016-0044.

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Purpose The purpose of this paper is to identify opportunities, barriers and guidelines for future research in behavioral energy interventions in commercial buildings. Design/methodology/approach The study methodology includes a three-step screening protocol with a collection of prior publications, clustering of related studies and results and analysis of the findings of the prior studies. Findings The review showed that commercial energy interventions were generally successful at impacting occupant energy consumption. Most energy savings were obtained by applying comparative feedback and ener

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Duarte, Rogério, António Moret Rodrigues, Fernando Pimentel, and Maria da Glória Gomes. "The Effect of Occupancy and Environmental Physical Variables on Classrooms’ Natural Ventilation: A Path Modeling Approach." Applied Sciences 14, no. 24 (2024): 11705. https://doi.org/10.3390/app142411705.

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In this paper, we use a path model to study natural ventilation in classrooms and research the link between air change rate, occupancy, and both outdoor and indoor physical variables. In general, the path model is derived from the building physics and occupant behavioral considerations via structural equation modeling (SEM), and allows for the use of continuous observable and unobservable factors. The latter are often employed in behavioral and social sciences to represent personal and group attributes. The path model is validated with data gathered during two consecutive academic years from f

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Hong, Tianzhen, Simona D'Oca, William J. N. Turner, and Sarah C. Taylor-Lange. "An ontology to represent energy-related occupant behavior in buildings. Part I: Introduction to the DNAs framework." Building and Environment 92 (October 2015): 764–77. http://dx.doi.org/10.1016/j.buildenv.2015.02.019.

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Wang, Yu, Wenjun Duan, Junqing Li, Dongdong Shen, and Peiyong Duan. "Thermal-Adaptation-Behavior-Based Thermal Sensation Evaluation Model with Surveillance Cameras." Sensors 24, no. 4 (2024): 1219. http://dx.doi.org/10.3390/s24041219.

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The construction sector is responsible for almost 30% of the world’s total energy consumption, with a significant portion of this energy being used by heating, ventilation and air-conditioning (HVAC) systems to ensure people’s thermal comfort. In practical applications, the conventional approach to HVAC management in buildings typically involves the manual control of temperature setpoints by facility operators. Nevertheless, the implementation of real-time alterations that are based on the thermal comfort levels of humans inside a building has the potential to dramatically improve the energy e

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Sivapriya Chelliah, Subbaiyan Gnanasambandam, and Srinivas Tadepalli. "Influence of window design and environmental variables on the window opening behavior of occupants and energy consumption in residential buildings." Transactions on Energy Systems and Engineering Applications 6, no. 1 (2025): 1–14. https://doi.org/10.32397/tesea.vol6.n1.583.

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Building energy use, thermal comfort, natural ventilation, and indoor air quality are influenced by the occupant behavior related to the opening and closing of windows in residential buildings. Studies about window opening and closing behaviour focused mainly on environmental variables (indoor temperature and air quality, climatic factors) and contextual parameters (season, time of the day). This paper investigates the influence of factors related to window design and environmental variables on the frequency of opening and closing the windows and the duration of windows in the open position. T

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DOMÍNGUEZ-AMARILLO, SAMUEL, JESICA FERNANDEZ-AGUERA, Andrew Peacock, and Ignacio Acosta. "Energy related practices in Mediterranean low income housing." Building Research & Information 48, no. 1 (2020): 1–19. https://doi.org/10.1080/09613218.2019.1661764.

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The development of policies to improve energy efficiency and the retrofitting of the existing housing stock requires adequate knowledge of the operation in practice and user needs. This becomes crucial when intervening in social housing, where household energy practices are likely to be confounded by energy affordability leading to outcomes that are distinct and sub-optimal when compared to those conventionally assumed. A field survey and analyses applied to more than 700 homes from collective social housing buildings in the south of Spain is reported here. The results show a clear stratificat

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Lyu, Jiajun, and Aya Hagishima. "Predicting Diverse Behaviors of Occupants When Turning Air Conditioners on/off in Residential Buildings: An Extreme Gradient Boosting Approach." Buildings 13, no. 2 (2023): 521. http://dx.doi.org/10.3390/buildings13020521.

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Occupant behavior (OB) has a significant impact on household air-conditioner (AC) energy use. In recent years, bottom-up simulation coupled with stochastic OB modeling has been intensively developed for estimating residential AC consumption. However, a comprehensive analysis of the diverse behavioral preference patterns of occupants regarding AC use is hampered by the limited availability of large-scale residential energy demand data. Therefore, this study aimed to develop a prediction model for the residential household’s AC usage considering various OB-related diversity patterns based on mon

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Rijal, Hom B., Michael A. Humphreys, and J. Fergus Nicol. "Behavioural Adaptation for the Thermal Comfort and Energy Saving in Japanese Offices." Journal of the Institute of Engineering 15, no. 2 (2019): 14–25. http://dx.doi.org/10.3126/jie.v15i2.27637.

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Office workers use a variety of adaptive opportunities to regulate their indoor thermal environment. The behavioural adaptations such as window opening, clothing adjustments, and use of heating/cooling are important factors for adaptive thermal comfort. It is well-known that they are the most important contributors in the adaptive thermal comfort model. Thus, if we understand the behavioural adaptation properly, we can explain the mechanism of the adaptive model. The indoor thermal environment is often adjusted using the air conditioning in Japanese office buildings to improve thermal comfort

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Chen, GaoXiang, Jian Yao, and RongYue Zheng. "Energy related performance of manual shading devices in private offices: An occupant behavior-based comparative study using modeling approaches." Case Studies in Thermal Engineering 27 (October 2021): 101336. http://dx.doi.org/10.1016/j.csite.2021.101336.

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Rijal, Hom B., Michael A. Humphreys, and J. Fergus Nicol. "Study on Behavioural Adaptation for the Thermal Comfort and Energy Saving in Japanese Offices." Journal of the Institute of Engineering 15, no. 3 (2020): 292–99. http://dx.doi.org/10.3126/jie.v15i3.32206.

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Office workers use a variety of adaptive opportunities to regulate their indoor thermal environment. The behavioural adaptations such as window opening, clothing adjustments, heating/cooling use are one of the important factors for the adaptive thermal comfort. It is well-known that they are the most important contributors in the adaptive thermal comfort model. Thus, if we understand the behavioural adaptation properly, we can explain the mechanism of the adaptive model. In addition, the indoor thermal environment is often adjusted using the air conditioning in Japanese office building to impr

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Dragomir, Otilia Elena, and Florin Dragomir. "Multi-Agent-Based Estimation and Control of Energy Consumption in Residential Buildings." Processes 13, no. 7 (2025): 2261. https://doi.org/10.3390/pr13072261.

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Despite notable advancements in smart home technologies, residential energy management continues to face critical challenges. These include the complex integration of intermittent renewable energy sources, issues related to data latency, interoperability, and standardization across diverse systems, the inflexibility of centralized control architectures in dynamic environments, and the difficulty of accurately modeling and influencing occupant behavior. To address these challenges, this study proposes an intelligent multi-agent system designed to accurately estimate and control energy consumpti

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Hong, Tianzhen, Simona D'Oca, Sarah C. Taylor-Lange, William J. N. Turner, Yixing Chen, and Stefano P. Corgnati. "An ontology to represent energy-related occupant behavior in buildings. Part II: Implementation of the DNAS framework using an XML schema." Building and Environment 94 (December 2015): 196–205. http://dx.doi.org/10.1016/j.buildenv.2015.08.006.

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Zeng, Fei, Yiqun Pan, Huiyan Deng, and Zhizhong Huang. "Research on air-conditioning usage behaviour in offices with different occupancy." E3S Web of Conferences 356 (2022): 01041. http://dx.doi.org/10.1051/e3sconf/202235601041.

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Occupant behaviours in the buildings are not only random and uncertain but also related to each occupant’s habitual preference. This leads to the performance gap between actual and expected energy consumption in buildings. Therefore, accurate information and modelling with regard to occupant behaviour are important for reliable energy simulation and energy-saving optimization design. Existing studies on occupant behaviour models in office space usually focus on single-person offices or full-floor buildings, without considering the behavioural differences among offices with different occupancy.

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Quispe, Enrique C., Miguel Viveros Mira, Mauricio Chamorro Díaz, Rosaura Castrillón Mendoza, and Juan R. Vidal Medina. "Energy Management Systems in Higher Education Institutions’ Buildings." Energies 18, no. 7 (2025): 1810. https://doi.org/10.3390/en18071810.

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This study reviews the methods used to implement energy management systems (EnMS) in higher education institutions (HEIs) and their impact on improving energy performance considering their relationship with the requirements for an EnMS according to ISO 50001. From 2310 articles, 136 articles and 5 technical reports related to EnMS and energy efficiency were selected and analyzed. A synthesis of the major actions taken by HEIs to enhance their energy performance is presented, including energy management strategies, methods for measuring and estimating consumption, occupant behavior models that

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Tam, Vivian, Laura Almeida, and Khoa Le. "Energy-Related Occupant Behaviour and Its Implications in Energy Use: A Chronological Review." Sustainability 10, no. 8 (2018): 2635. http://dx.doi.org/10.3390/su10082635.

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It is essential to understand how significantly occupants’ actions impact the performance of a building, as a whole, in terms of energy use. Consequently, this paper reviews the available resources on energy-related occupant behaviour and its implications in energy use in a building. A chronological review on energy-related occupant behaviour and its implications in energy use has been conducted. As a main existing gap, it was identified by researchers the difference between real energy performance and the one that is predicted during the design stage of a building. The energy predicted during

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Harputlugil, Timuçin, and Pieter de Wilde. "Building Occupant Energy Labels (OEL): Capturing the Human Factors in Buildings for Energy Efficiency." Sustainability 17, no. 3 (2025): 1216. https://doi.org/10.3390/su17031216.

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Occupancy is one of the primary contributors to the energy performance gap, defined as the difference between actual and predicted energy usage, in buildings. This paper limits its scope to residential buildings, where occupant-centric consumption often goes unaccounted for in standard energy metrics. This paper starts from the hypothesis that a simple occupant energy efficiency label is needed to capture the essence of occupant behaviour. Such a label would help researchers and practitioners study a wide range of behavioural patterns and may better frame occupant interventions, potentially co

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Chung-Camargo, Katherine, Lorena Chacón, Miguel Chen Austin, and Carmen Castaño. "Decision-Making Approach based on Multi-objective Optimization to Achieve Net-Zero Energy Neighborhoods through Retrofit in a Tropical Climate." Journal of Physics: Conference Series 2385, no. 1 (2022): 012017. http://dx.doi.org/10.1088/1742-6596/2385/1/012017.

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Abstract Among the main causes of environmental deterioration worldwide, buildings are among those responsible for a large percentage of energy-related CO2 emissions. Because of this, finding solutions to this problem is necessary. This research project involves building the energy model of a neighbourhood located in Panama, Herrera province. The main elements were classified and systematized using DesignBuilder and then implemented in an optimization analysis that seeks to approximate the NZED standard. The optimization’s main objectives were to maintain or improve thermal comfort, reducing e

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Kontaxis, Dimitrios, George Tsoulos, Georgia Athanasiadou, and Giorgos Giannakis. "Wireless Sensor Networks for Building Information Modeling." Telecom 3, no. 1 (2022): 118–34. http://dx.doi.org/10.3390/telecom3010007.

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Building Information Modeling (BIM) is a critical element for the “digitalization” of the construction industry and can be exploited for energy-driven renovation procedures of existing residences. Advancing beyond a BIM with data-capturing capabilities that are limited to building static information only requires sensor data streams related to indoor/outdoor ambient conditions, as well as to energy-consumption parameters of the residences. The data streams require the deployment of robust Wireless Sensor Networks (WSNs) that are able to capture and transmit real-time data to appropriate cloud-

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Krishnan, Deepu, Scott Kelly, and Yohan Kim. "A Meta-Analysis Review of Occupant Behaviour Models for Assessing Demand-Side Energy Consumption." Energies 15, no. 3 (2022): 1219. http://dx.doi.org/10.3390/en15031219.

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Occupant behaviour plays a significant role in shaping the dynamics of energy consumption in buildings, but the complex nature of occupant behaviour has hindered a deeper understanding of its influence. A meta-analysis was conducted on 65 published studies that used data-driven quantitative assessments to assess energy-related occupant behaviour using the Knowledge Discovery and Data Mining (KDD) framework. Hierarchical clustering was utilised to categorise different modelling techniques based on the intended outcomes of the model and the types of parameters used in various models. This study

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Almeida, Laura, Vivian W. Y. Tam, Khoa N. Le, and Yujuan She. "Effects of occupant behaviour on energy performance in buildings: a green and non-green building comparison." Engineering, Construction and Architectural Management 27, no. 8 (2020): 1939–62. http://dx.doi.org/10.1108/ecam-11-2019-0653.

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PurposeOccupants are one of the most impacting factors in the overall energy performance of buildings, according to literature. Occupants’ behaviours and actions may impact the overall use of energy in more than 50%. In order to quantify the impact that occupant behaviour has in the use of energy, this study simulated interactions between occupants and the systems present in two actual buildings. The main aim was to compare the deviations due to occupant behaviour with the actual conditions and energy use of the two buildings.Design/methodology/approachThe buildings used as a case study in thi

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Alan, Fong Ming-Lun, and Li Baonan Nelson. "Transforming Chiller Plant Efficiency with SC+BAS: Case Study in a Hong Kong Shopping Mall." Urban Science 9, no. 7 (2025): 253. https://doi.org/10.3390/urbansci9070253.

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The imperative for building managers, in the face of high-density urban environments, is to drive existing chiller plants to greater operational efficiency through the application of advanced technological interventions. The case for applying Supervisory Control (SC) and a Building Automation System (SC+BAS) for optimizing chiller plants is the subject of investigation here, through the lens of a typical commercial shopping mall in the high-density infrastructure of Hong Kong. The application of SC+BAS falls into the realm of advanced Trim/Respond algorithms coupled with sophisticated sequenci

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Thillo, L. Van, S. Verbeke, and A. Audenaert. "Occupant behaviour and the potential of automating lighting control in terms of energy consumption – is there a link for residential buildings?" Journal of Physics: Conference Series 2654, no. 1 (2023): 012065. http://dx.doi.org/10.1088/1742-6596/2654/1/012065.

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Abstract The implementation of occupancy-controlled and daylighting-dimmed lighting systems has an impact on the energy consumption of residential buildings. The BAC factor method of EN ISO 52120-1 estimates that 8% of the lighting energy can be saved compared to conventional manual control. However, it is assumed that their ability to potentially lower the lighting energy consumption is strongly related to external factors, such as the extent of daylight entrance and the behaviour of the inhabitants. By means of simulations in EnergyPlus, the performances of automated and manual lighting cont

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Domínguez-Amarillo, Samuel, Jesica Fernández-Agüera, Juan Sendra, and Susan Roaf. "Rethinking User Behaviour Comfort Patterns in the South of Spain—What Users Really Do." Sustainability 10, no. 12 (2018): 4448. http://dx.doi.org/10.3390/su10124448.

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Although energy analysis techniques can contribute to substantial energy savings in housing stock retrofitting operations, the outcomes often deviate significantly from the predicted results, which tend to overestimate potential savings by overestimating the starting energy baselines, particularly in southern Europe. This deviation can be largely attributed to occupant practice relating to the use of air conditioning facilities and the temperatures at which occupants feel comfortable. The patterns observed differed widely from standard values. In this study environmental variables, primarily i

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Ouf, Mohamed, Mohamed H. Issa, Phil Merkel, and Panos Polyzois. "THE EFFECT OF OCCUPANCY ON ELECTRICITY USE IN THREE CANADIAN SCHOOLS." Journal of Green Building 13, no. 1 (2018): 95–112. http://dx.doi.org/10.3992/1943-4618.13.1.95.

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Through building performance simulations, previous studies showed the effect of occupants on buildings' energy consumption. To further demonstrate this effect using empirical evidence, this study analyzed the effect of occupancy on real-time electricity consumption in three case-study schools in Manitoba. Within each school, one classroom as well as the gymnasium were sub-metered to collect real-time electricity consumption data at half-hourly intervals. The study focused on electricity consumption for lighting and plug loads, which make up 30% of energy consumption in Canadian commercial and

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Yfanti, Sofia, Nikos Sakkas, and Emmanuel Karapidakis. "An Event-Driven Approach for Changing User Behaviour towards an Enhanced Building’s Energy Efficiency." Buildings 10, no. 10 (2020): 183. http://dx.doi.org/10.3390/buildings10100183.

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Worldwide, buildings are one of the main energy consumers and the improvement of their energy performance has attracted great interest and has been typically related to the optimisation, both design and operational, of Heating, Ventilation, and Air Conditioning (HVAC), lighting and DHW systems, to innovation in building materials, as well as to the integration of renewable technology in buildings. More recently, occupant behaviour has received increasing attention. Occupants’ interactions with the building systems influence their energy consumption in diverse ways. Their behaviour may affect e

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Veynandt, François, Bernhard Derler, and Christian Heschl. "CO₂-based occupancy forecasting with an Agent-Based Model." IOP Conference Series: Earth and Environmental Science 1363, no. 1 (2024): 012094. http://dx.doi.org/10.1088/1755-1315/1363/1/012094.

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Abstract In the realm of building performance optimization, understanding occupancy dynamics is pivotal for enhancing both energy efficiency and occupant comfort. Occupancy forecasts, serving as critical inputs for data-driven predictive control technologies, play a significant role in this domain. To address this need, we propose a novel model that directly estimates building occupancy levels. This model is particularly applicable to buildings equipped with mechanical ventilation systems and CO2 concentration sensors. The number of persons is estimated by utilizing the CO2 production rate of

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