Survey of occupant behaviour and control of indoor environment in Danish dwellings

Andersen, Rune Vinther; Toftum, Jørn; Andersen, Klaus Kaae; Olesen, Bjarne W.

doi:10.1016/j.enbuild.2008.07.004

Cited by 336 publications

(203 citation statements)

References 8 publications

Supporting

Mentioning

197

Contrasting

Order By: Relevance

“…Andersen et al [25] also found that gender had effects on both use of windows and lights in Danish homes. Karjalainen [26] conducted a quantitative interview survey to analyse occupants' use of thermostats in homes, offices and in a university.…”

Section: Gendermentioning

confidence: 98%

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

Wei

Buswell

Loveday

2013

Energy and Buildings

View full text Add to dashboard Cite

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.

show abstract

Section: Gendermentioning

confidence: 98%

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

Wei

Buswell

Loveday

2013

Energy and Buildings

View full text Add to dashboard Cite

show abstract

“…A regression analysis was carried out in [8] in order to quantify the influence of window opening, lighting, heating and solar shading on occupant behaviour. The model proposed in [9] estimates the building sector energy end-use intensity for New York City as a function of the ZIP codes.…”

Section: Methodsmentioning

confidence: 99%

Application-oriented modelling of domestic energy demand

Gruber

Jahromizadeh

Prodanović

et al. 2014

International Journal of Electrical Power & Energy Systems

View full text Add to dashboard Cite

This is the accepted version of the paper.This version of the publication may differ from the final published version. Permanent repository link AbstractDetailed residential energy consumption data can be used to offer advanced services and provide new business opportunities to all participants in the energy supply chain, including utilities, distributors and customers. The increasing interest in the residential consumption data is behind the roll-out of smart meters in large areas and led to intensified research efforts in new data acquisition technologies for the energy sector. This paper introduces a novel model for generation of residential energy consumption profiles based on the energy demand contribution of each household appliance and calculated by using a probabilistic approach. The model takes into consideration a wide range of household appliances and its modular structure provides a high degree of flexibility. Residential consumption data generated by the proposed model are suitable for development of new services and applications such as residential real-time pricing schemes or tools for energy demand prediction. To demonstrate the main features of the model, an individual household consumption was created and the effects of a possible change in the user behaviour and the appliance configuration presented. In order to show the flexibility offered in creation of the aggregated demand, the detailed simulation results of an energy demand management algorithm applied to an aggregated user group are used.

show abstract

“…Self-reported questionnaires have often been criticized for providing circumstantial results [69,70]. Occupants may report, for example, what they think they will do rather than what they actually do in practice.…”

Section: Mitigation Strategiesmentioning

confidence: 99%

“…Moreover, survey responses related to perceived comfort, satisfaction, and productivity could be biased from factors such as weather, IEQ, and stress level, which may vary day by day [18,71,72]. However, it is a common practice to converge self-reported data with actual energy-saving data, or measured environmental parameters, in order to reveal important underlying drivers for behavior [70,[73][74][75]. For the analysis of these questions, this study will adopt a similar mitigation strategy.…”

Section: Mitigation Strategiesmentioning

confidence: 99%

Synthesizing building physics with social psychology: An interdisciplinary framework for context and occupant behavior in office buildings

D’Oca

Chen

Hong

et al. 2017

Energy Research & Social Science

113

View full text Add to dashboard Cite

This study introduces an interdisciplinary framework for investigating building-user interaction in office spaces. The framework is a synthesis of theories from building physics and social psychology including social cognitive theory, the theory of planned behavior, and the driversneeds-actions-systems ontology for energy-related behaviors. The goal of the research framework is to investigate the effects of various behavioral adaptations and building controls (i.e., adjusting thermostats, operating windows, blinds and shades, and switching on/off artificial lights) to determine impacts on occupant comfort and energy-related operational costs in the office environment. This study attempts to expand state-of-the-art understanding of: (1) the environmental, personal, and behavioral drivers motivating occupants to interact with building control systems across four seasons, (2) how occupants' intention to share controls is influenced by social-psychological variables such as attitudes, subjective norms, and perceived behavioral control in group negotiation dynamic, (3) the perceived ease of usage and knowledge of building technologies, and (4) perceived satisfaction and productivity. To ground the validation of the theoretical framework in diverse office settings and contexts at the international scale, an online survey was designed to collect cross-country responses from office occupants among 14 universities and research centers within the United States, Europe, China, and Australia.

show abstract

Survey of occupant behaviour and control of indoor environment in Danish dwellings

Cited by 336 publications

References 8 publications

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

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

Application-oriented modelling of domestic energy demand

Synthesizing building physics with social psychology: An interdisciplinary framework for context and occupant behavior in office buildings

Contact Info

Product

Resources

About