On uses of energy in buildings : Extracting influencing factors of occupant behaviour by means of a questionnaire survey

Abstract In order to reduce the energy consumption in buildings, more and more energy efficient technologies for the building-HVAC system have been developed. Several studies showed that occupant behaviour has a much larger influence on the energy performance of a building than the thermal process within the building facade. This underlines the need to investigate the influence of occupant behaviour on building performance. This paper presents the results of a questionnaire survey related to occupant behaviours and preferences in residential buildings. Multivariate regression analyses are conducted to outline main patterns and correlations between energy use, building characteristics and occupant behaviours. Results show a strong relationship between occupants’ actions and characteristics of the built environment – in particular the construction year of the building. Furthermore, occupants have a notable impact on building performance: the chosen set point temperature and the total hours of heating system utilization, which both increase with the age of the building, lead to an increase of the fuel consumption. In conclusion, occupant behaviour is affected by the characteristics of the building, which requires additional studies to increase our understanding of occupant behavioural patterns in existing and modern buildings.

[1]  J. F. Nicol,et al.  Developing an adaptive control algorithm for Europe , 2002 .

[2]  Sanem Sergici,et al.  The Impact of Informational Feedback on Energy Consumption -- A Survey of the Experimental Evidence , 2009 .

[3]  Joseph Andrew Clarke,et al.  Using results from field surveys to predict the effect of open windows on thermal comfort and energy use in buildings , 2007 .

[4]  Darren Robinson,et al.  Verification of stochastic models of window opening behaviour for residential buildings , 2012 .

[5]  K. K. Andersen,et al.  Survey of occupant behaviour and control of indoor environment in Danish dwellings , 2007 .

[6]  Rune Vinther Andersen,et al.  Effect of occupant behaviour related influencing factors on final energy end uses in buildings , 2011 .

[7]  Robert H. Socolow,et al.  Twin Rivers program on energy conservation in housing: highlights and conclusions , 1978 .

[8]  Stefano Paolo Corgnati,et al.  The influence of occupant's behaviour in a high performing building , 2013 .

[9]  M. Shukuya,et al.  Comparison of theoretical and statistical models of air-conditioning-unit usage behaviour in a residential setting under Japanese climatic conditions , 2009 .

[10]  Edyta Dudkiewicz,et al.  Inherent variability of heat consumption in residential buildings , 2009 .

[11]  Michael A. Humphreys,et al.  ADAPTIVE THERMAL COMFORT AND SUSTAINABLE THERMAL STANDARDS FOR BUILDINGS , 2002 .

[12]  Hongsan Sun,et al.  An occupant behavior modeling tool for co-simulation , 2016 .

[13]  P Pieter-Jan Hoes,et al.  User behavior in whole building simulation , 2009 .

[14]  Kristian Fabbri,et al.  Thermal comfort evaluation in kindergarten: PMV and PPD measurement through datalogger and questionnaire , 2013 .

[15]  R. Sonderegger.  MOVERS AND STAYERS: THE RESIDENT'S CONTRIBUTION TO VARIATION ACROSS HOUSES IN ENERGY CONSUMPTION FOR SPACE HEATING , 1978 .

[16]  E. Sardianou,et al.  Estimating space heating determinants: An analysis of Greek households , 2008 .

[17]  Olivia Guerra Santin,et al.  Behavioural Patterns and User Profiles related to energy consumption for heating , 2011 .

[18]  David Tong,et al.  Questionnaire design for sick building syndrome: An empirical comparison of options , 1996 .

[19]  Michael Nye,et al.  Making energy visible: A qualitative field study of how householders interact with feedback from smart energy monitors , 2010 .

[20]  Kristian Fabbri,et al.  How to use online surveys to understand human behaviour concerning window opening in terms of building energy performance , 2016 .

[21]  John M. Darley,et al.  Behavioral approaches to residential energy conservation , 1978 .

[22]  Jin Wen,et al.  Simulating the human-building interaction: Development and validation of an agent-based model of office occupant behaviors , 2015 .

[23]  A. F. Emery,et al.  Residential energy usage and the influence of occupant behavior , 1993 .

[24]  Ian Beausoleil-Morrison,et al.  A critical review of observation studies, modeling, and simulation of adaptive occupant behaviors in offices , 2013 .

[25]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[26]  Domenico Camarda,et al.  Planning Urban Microclimate through Multiagent Modelling: A Cognitive Mapping Approach , 2013, CDVE.

[27]  Jin Wen,et al.  Reducing energy consumption in low income public housing: Interviewing residents about energy behaviors , 2013 .

[28]  Ray Galvin,et al.  Targeting ‘behavers’ rather than behaviours: A ‘subject-oriented’ approach for reducing space heating rebound effects in low energy dwellings , 2013 .

[29]  Rune Korsholm Andersen.  The influence of occupants’ behaviour on energy consumption investigated in 290 identical dwellings and in 35 apartments , 2012 .

[30]  Richard de Dear,et al.  Green occupants for green buildings: The missing link? , 2012 .