Advances in research and applications of energy-related occupant behavior in buildings ☆
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TLDR
In this paper, the authors introduced the most recent advances and current obstacles in modeling occupant behavior and quantifying its impact on building energy use, including advancements in data collection techniques, analytical and modeling methods, and simulation applications which provide insights into behavior energy savings potential and impact.Citations
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Data driven prediction models of energy use of appliances in a low-energy house
TL;DR: Data filtering to remove non-predictive parameters and feature ranking is discussed to include in energy prediction models and for building performance modeling.
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Ten questions concerning occupant behavior in buildings: The big picture
TL;DR: The use of simplified methods or tools to quantify the impacts of occupant behavior in building performance simulations significantly contributes to performance gaps between simulated models and actual building energy consumption as mentioned in this paper, and therefore, it is crucial to understand occupant behaviour in a comprehensive way, integrating qualitative approaches and data-and model-driven quantitative approaches.
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IEA EBC Annex 66: Definition and simulation of occupant behavior in buildings
TL;DR: The International Energy Agency (IEA) Energy in Buildings and Community (EBC) Programme Annex 66 has established a scientific methodological framework for occupant behavior research, including data collection, behavior model representation, modeling and evaluation approaches, and the integration of behavior modeling tools with building performance simulation programs as mentioned in this paper.
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IEA EBC annex 53: Total energy use in buildings—Analysis and evaluation methods
TL;DR: In this article, the authors employed an interdisciplinary approach, integrating building science, architectural engineering, computer modeling and simulation, and social and behavioral science to develop and apply methods to analyze and evaluate the real energy use in buildings considering the six influencing factors.
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A review of uncertainty analysis in building energy assessment
Wei Tian,Yeonsook Heo,Pieter de Wilde,Zhanyong Li,Da Yan,Cheolsoo Park,Xiaohang Feng,Godfried Augenbroe +7 more
TL;DR: The data sources of uncertainty in building performance analysis are described to provide a firm foundation for specifying variations of uncertainty factors affecting building energy, and several applications of uncertainty analysis in building energy assessment are discussed.
References
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What are we doing here? Analyzing fifteen years of energy scholarship and proposing a social science research agenda
TL;DR: The article as discussed by the authors proposes a variety of methodological and topical areas, along with 75 research questions, that could deepen and broaden energy research, connected in part to all of the articles in this special (inaugural) issue of Energy Research & Social Science.
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User behavior in whole building simulation
TL;DR: In this paper, the effect of user behavior on building performance has been evaluated further to assess requirements for design solutions to arrive at buildings that are more robust to the influence of user behaviour.
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Importance of occupancy information for building climate control
TL;DR: In this paper, the authors investigated the potential of using occupancy information to realize a more energy efficient building climate control, focusing on Swiss office buildings equipped with Integrated Room Automation (IRA), i.e. the integrated control of Heating, Ventilation, Air Conditioning (HVAC) as well as lighting and blind positioning of a building zone or room.
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Integrating social science in energy research
Benjamin K. Sovacool,Sarah E. Ryan,Paul C. Stern,Kathryn B. Janda,Gene I. Rochlin,Daniel Spreng,Martin J. Pasqualetti,Harold Wilhite,Loren Lutzenhiser +8 more
TL;DR: In this article, the authors reflect on the state of the energy studies field and propose recommendations for better integrating social science into energy research, and realize a future energy system that is low-carbon, safe, and reliable will require fuller and more meaningful collaboration between the physical and social sciences.