Occupant Behaviour In Buildings Advances And Challenges
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Occupant Behaviour in Buildings: Advances and Challenges
Author: Enedir Ghisi
language: en
Publisher: Bentham Science Publishers
Release Date: 2021-08-19
Occupant behaviour in buildings is a point of interest for building designers around the world. Functional buildings have a significant energy demand; therefore, improving the thermal and energy performance of such buildings requires knowledge about the variables that influence them. However, to increase the potential for improving thermal and energy performance of buildings, studies must also consider the occupant’s interactions with the built environment. The occupant behaviour influences the conditions of the internal environment through the occupation of indoor building spaces and through the interaction with building elements, such as air-conditioning, lighting, blinds and windows. Occupant Behaviour in Buildings: Advances and Challenges brings together reviews of these influential aspects, presenting updates on advances and questions that pose challenges in our current understanding of behavioural modeling and its application to building design. Special topics covered in the book include methods to survey occupant behavior, building design choices, occupant behaviour impact on a building's thermal and energy efficiency, and,finally, a simulation of occupants in a building. Key Features- Presents up-to-date information on occupant behaviour in buildings- Eight chapters, written by renowned researchers, provide readers with useful insights on the subject- Includes a case study of buildings in Brazil- Structured reader-friendly content- References for further reading This reference is an informative resource for students and professionals in architecture, civil engineering, building information design, and urban planning. Readers interested in social and behavioural sciences will also gain insights on research methods that are helpful in investigating human behavior in urban dwellings.
Impact of Occupants' Behaviour on Zero-Energy Buildings
This book highlights the importance of human behaviour in the building design process, with a focus on the construction of zero-energy buildings. It reports on and discusses the strategies the authors have adopted to develop behavioural models, and explains how to integrate them into building design. The analyses and findings presented in the book are supported by novel experimental data derived from building monitoring projects carried out by the authors’ research group. Further, the book suggests key methodologies and modelling approaches. The authors subsequently address occupants’ behaviour in zero-energy buildings from an energy perspective. They investigate many different aspects of the interactions between users and buildings devices, from assessing the triggering factors of occupants’ behaviours, to discussing modelling and simulation approaches. Methods for acquiring and analysing experimental data are presented, as well as a discussion on objective and subjective factors that trigger occupants’ behaviour. Other content includes: experimental investigations from real case studies to assess occupants’ interaction with building devices; an assessment of the driving factors that trigger human actions to identify the key parameters in the behavioural models; and critical suggestions on monitoring and modelling approaches to optimise data acquisition and modelling methods. The guidelines presented here will allow designers and researchers to improve the accuracy of their simulations of buildings energy performance, and support both building design and management processes. It will be of particular use to researchers involved in the development of behavioural models, as it presents experimental data and a comprehensive overview of behavioural modelling. The book will also be of interest to students who are studying the behavioural component of integrated building design.
Statistical Modelling of Occupant Behaviour
General, and generalized linear, and survival models Mixed effect and hierarchical models Linear time series and Markov models Linear state space and hidden Markov models Illustration of all methods using occupant behaviour examples implemented in R