Interactions with window openings by office occupants

Haldi, Frédéric; Robinson, Darren

doi:10.1016/j.buildenv.2009.03.025

Cited by 354 publications

(287 citation statements)

References 28 publications

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“…Behavior literature [42][43][44][45][46] tends to focus on predicting the state of thermal control devices to estimate their effects on the indoor environment, without analyzing the impact on comfort. Conversely, comfort literature [14,15,36] generally focuses on assessing the thermal comfort of occupants who have access to those devices without explicitly accounting for their actual control actions.…”

Section: Linking Behavior To Thermal Comfortmentioning

confidence: 99%

Personal comfort models: Predicting individuals' thermal preference using occupant heating and cooling behavior and machine learning

Kim

Zhou

Schiavon

et al. 2018

Building and Environment

323

162

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Section: Linking Behavior To Thermal Comfortmentioning

confidence: 99%

Personal comfort models: Predicting individuals' thermal preference using occupant heating and cooling behavior and machine learning

Kim

Zhou

Schiavon

et al. 2018

Building and Environment

323

162

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“…Many surveys investigating window behaviour have been carried out using differing numbers of individuals: Haldi and Robinson [10] collected their data from 14 south-facing offices located on three floors and occupied by either one or two occupants; Yun and Steemers [11] carried out their study in 6 offices with differing numbers of occupants, night ventilation strategy, building type, window orientation and window type. The challenge for these studies was to understand the limitations of the data and minimise confounding factors to establish the significance of the results.…”

Section: Methodsmentioning

confidence: 99%

“…In addition, some non-environmental factors were also identified to have an influence on the window state, such as the previous window state [6,10,11], time of day [6,10,11], occupancy pattern [6,10], season [6], floor level [10], personal difference [4,9,10] and building orientation [7]. However, most above studies focus on occupants' window use during working hours, and therefore, "the behaviour of the occupants' towards night ventilation is generally poorly understood."…”

Section: Introductionmentioning

confidence: 99%

“…Existing studies on occupants' window behaviour at the end of the working day were mainly based on thermal factors such as indoor [3] or outdoor air temperature [6,10], and these have generated useful models for use in building simulation. However, it is also possible that there are other factors that could affect this behaviour, and understanding of these issues is less well developed.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, environmental factors such as indoor air temperature [3,4] or outdoor air temperature [5][6][7][8] or a combination of them [9,10] were proposed to be the main 'driver(s) ' for occupants to open/close their windows. In addition, some non-environmental factors were also identified to have an influence on the window state, such as the previous window state [6,10,11], time of day [6,10,11], occupancy pattern [6,10], season [6], floor level [10], personal difference [4,9,10] and building orientation [7].…”

Section: Introductionmentioning

confidence: 99%

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Factors affecting ‘end-of-day’ window position in a non-air-conditioned office building

Wei

Buswell

Loveday

2013

Energy and Buildings

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This paper presents a longitudinal study observing people's use of windows in mixed mode cellular offices, and sets out to identify factors other than air temperature, that have a significant influence on window operation. The work focuses on the final position of the window at the end of the working day.The results have been compared to other published work and the building is found to have similar characteristics when it and its occupants are treated as a whole. When sub-sets of the data are examined, the factors of season, floor level, gender, and personal preference emerge as having a statistically significant effect on the end-of-day window position in the building examined and these findings are properly discussed with relevant references.

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Mensch‐Gebäude‐Interaktion im Kontext des energierelevanten Handelns von Gebäudenutzern

Grabe¹

2014

Bauphysik

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In diesem Artikel wird eine Forschungsarbeit vorgestellt, deren Ziel darin besteht, die wissenschaftlichen Grundlagen dafür zu legen, das energie‐relevante Interaktionshandeln von Gebäudenutzern auf der Basis psychologisch fundierter Kausalmodelle prognostizieren zu können. Um die grundlegenden Entwicklungslinien dieser Arbeit zu skizzieren, werden in einem ersten Schritt diejenigen Defizittendenzen bisheriger Forschung dargestellt, von denen angenommen werden kann, dass sie primär verantwortlich für die geringe allgemeine Validität bislang existierender Prognosemodelle sind. Dabei handelt es sich zunächst um ein forschungssystematisches Defizit, welches besagt, dass die bisherige Forschung den handlungsrelevanten Kontext nur unvollständig erfasst und somit handlungsrelevante Aspekte des Kontextes ignoriert. Darüber hinaus existiert ein methodologisches Defizit, welches besagt, dass die bisherige Forschung primär darauf abzielt, anstelle von erklärenden Kausalbeziehungen lediglich deskriptive korrelative Beziehungen zwischen dem Handlungskontext und dem Interaktionshandeln aufzuzeigen. Auf dieser Basis werden anschließend die Grundzüge von zwei wissenschaftlichen Ansätzen geschildert, die prinzipiell in der Lage sind, diese Defizite auszugleichen. Dabei handelt es sich zum einen um ein heuristisches Verfahren, welches geeignet ist, den Kontext von Interaktionshandlungen vollständiger und ausgeglichener zu erfassen als es bisher möglich war. Die systematische Analyse dieses Kontextes stellt anschließend den Ausgangspunkt für die gezielte Identifikation einer Reihe von psychologischen Rahmentheorien dar, die grundsätzlich dazu befähigen, Interaktionshandeln wissenschaftsbasiert zu konzeptualisieren. Diese Ergebnisse können in zukünftigen Arbeiten aufgegriffen werden, um daraus eine homogene Gesamttheorie für das energierelevante Interaktionshandeln von Gebäudenutzern zu formulieren. Human‐building‐interaction in context of energetically relevant acting of building occupants. This article presents research that aims for the development of the scientific foundation for the prediction of energy‐relevant human interaction with buildings on the basis of psychologically founded causal models. In order to illustrate the main development direction of the presented research, those deficits of the hitherto existing research which can be assumed to be largely responsible for the lack of general validity of existing prognostic models will be described in a first step. The first deficit relates to the systematics of identifying the interaction‐relevant context and indicates that current research considers the relevant context incompletely and thus ignores relevant parts of it. Further on, a methodological deficit exists which indicates that current research primarily aims for the identification of descriptive correlative relations between context and interaction, however, not for the identification of explanatory causal relations. Based on this analysis, two research approaches are delineated which show the potential t...

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Interactions with window openings by office occupants

Cited by 354 publications

References 28 publications

Personal comfort models: Predicting individuals' thermal preference using occupant heating and cooling behavior and machine learning

Personal comfort models: Predicting individuals' thermal preference using occupant heating and cooling behavior and machine learning

Factors affecting ‘end-of-day’ window position in a non-air-conditioned office building

Mensch‐Gebäude‐Interaktion im Kontext des energierelevanten Handelns von Gebäudenutzern

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