Journal ArticleDOI
Revealing occupancy patterns in an office building through the use of occupancy sensor data
TLDR
In this paper, the analysis of occupancy sensor data for a large commercial, multi-tenant office building is presented, where occupancy diversity factors for private offices and summarizes the same for open offices, hallways, conference rooms, break rooms, and restrooms in order to better inform energy simulation parameters.About:
This article is published in Energy and Buildings.The article was published on 2013-12-01. It has received 221 citations till now. The article focuses on the topics: Occupancy sensor & Occupancy.read more
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Advances in research and applications of energy-related occupant behavior in buildings ☆
TL;DR: 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.
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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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Occupancy measurement in commercial office buildings for demand-driven control applications : a survey and detection system evaluation
TL;DR: A review of common existing systems utilized in buildings for occupancy detection and experimental results from the performance evaluation of chair sensors in an office building for providing fine-grained occupancy information for demand-driven control applications are presented.
Journal ArticleDOI
An ontology to represent energy-related occupant behavior in buildings. Part I: Introduction to the DNAs framework
TL;DR: In this article, an ontology to represent energy-related occupant behavior in buildings is presented, based on four key components: i) the drivers of behavior, ii) the needs of the occupants, iii) the actions carried out by the occupants and iv) the building systems acted upon by occupants.
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Occupant behavior in building energy simulation: towards a fit-for-purpose modeling strategy
TL;DR: In this paper, the authors propose a fit-for-purpose model, in which the most appropriate model for a specific case is characterized by the lowest complexity, while preserving its validity with respect to the aim of the simulation.
References
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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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A generalised stochastic model for the simulation of occupant presence
TL;DR: In this paper, an algorithm for the simulation of occupant presence, to be later used as an input for future occupant behaviour models within building simulation tools, is described, where occupant presence is considered as an inhomogeneous Markov chain interrupted by occasional periods of long absence, the model generates a time series of the state of presence of each occupant of a zone, for each zone of any number of buildings.
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Do LEED-certified buildings save energy? Yes, but ...
TL;DR: In this paper, the authors conducted a re-analysis of data supplied by the New Buildings Institute and the US Green Buildings Council on measured energy use data from 100 LEED-certified commercial and institutional buildings.
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Simulation-based decision support tool for early stages of zero-energy building design
TL;DR: In this article, the authors present an energy-oriented software tool that both accommodates the Egyptian context and provides informative support that aims to facilitate decision-making of zero energy buildings.
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Do LEED-certified buildings save energy? Not really…
TL;DR: In this paper, a re-analysis of energy-consumption data for LEED-certified commercial buildings supplied by the New Buildings Institute (NBI) and US Green Building Council is presented.