Modelling diversity in building occupant behaviour: a novel statistical approach

We propose an advanced modelling framework to predict the scope and effects of behavioural diversity regarding building occupant actions on window openings, shading devices and lighting. We develop a statistical approach based on generalised linear mixed models to account for the longitudinal nature of observations on occupants, and to provide a coherent method to capture observed variability amongst occupant/room pairings through built-in probabilistic terms describing occupant diversity in a tractable manner within building energy simulation. The contribution of the proposed method is demonstrated using collected behavioural data from three long-term monitoring campaigns (an office building in Switzerland and residential units in Germany and Denmark).

[1]  Christoph F. Reinhart,et al.  Lightswitch-2002: a model for manual and automated control of electric lighting and blinds , 2004 .

[2]  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 .

[3]  Monika Woloszyn,et al.  1 ROBUSTNESS ASSESSMENT OF A NEAR ZERO ENERGY DWELLING FOR VARYING OCCUPANT BEHAVIOUR , 2016 .

[4]  René Altherr A low environmental impact anidolic facade , 2001 .

[5]  Giuliano Dall'O',et al.  Comparison between predicted and actual energy performance for summer cooling in high-performance residential buildings in the Lombardy region (Italy) , 2012 .

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

[7]  D. Bates,et al.  Mixed-Effects Models in S and S-PLUS , 2001 .

[8]  Bjarne W. Olesen,et al.  Occupants' window opening behaviour: A literature review of factors influencing occupant behaviour and models , 2012 .

[9]  Tianzhen Hong,et al.  An ontology to represent energy-related occupant behavior in buildings. Part II: Implementation of the DNAS framework using an XML schema , 2015 .

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

[11]  Darren Robinson,et al.  Interactions with window openings by office occupants , 2009 .

[12]  Christoph F. Reinhart,et al.  Adding advanced behavioural models in whole building energy simulation: A study on the total energy impact of manual and automated lighting control , 2006 .

[13]  Laurent Georges,et al.  Influence of occupant’s behavior on heating needs and energy system performance: A case of well-insulated detached houses in cold climates , 2015 .

[14]  Andreas K. Athienitis,et al.  Manually-operated window shade patterns in office buildings: A critical review , 2013 .

[15]  Angela Calia,et al.  Durability assessment of nanostructured TiO2 coatings applied on limestones to enhance building surface with self-cleaning ability , 2016 .

[16]  Ardeshir Mahdavi,et al.  Occupants' operation of lighting and shading systems in office buildings , 2008 .

[17]  Darren Robinson,et al.  The impact of occupants' behaviour on building energy demand , 2011 .

[18]  Ray Galvin,et al.  Making the ‘rebound effect’ more useful for performance evaluation of thermal retrofits of existing homes: Defining the ‘energy savings deficit’ and the ‘energy performance gap’ , 2014 .

[19]  Mark Rylatt,et al.  A simple model of domestic lighting demand , 2004 .

[20]  Paul Strachan,et al.  Practical application of uncertainty analysis , 2001 .

[21]  Theo M.M. Verhallen,et al.  PATTERNS OF RESIDENTIAL ENERGY BEHAVIOR , 1983 .

[22]  Tatjana Vilutiene,et al.  Modelling the Effect of the Domestic Occupancy Profiles on Predicted Energy Demand of the Energy Efficient House , 2013 .

[23]  Frédéric Haldi Predicting the Risk of Moisture Induced Damages on the Building Envelope Using Stochastic Models of Building Occupants’ Behaviour☆ , 2015 .

[24]  Frédéric Haldi,et al.  A Probabilistic Model To Predict Building Occupants’ Diversity Towards Their Interactions With The Building Enveloppe , 2013, Building Simulation Conference Proceedings.

[25]  Z. Sadovský,et al.  Probabilistic modelling of mould growth in buildings , 2014 .

[26]  H. Burak Gunay,et al.  Mitigating office performance uncertainty of occupant use of window blinds and lighting using robust design , 2015 .

[27]  Dirk Saelens,et al.  Feasibility assessment of passive cooling for office buildings in a temperate climate through uncertainty analysis , 2012 .

[28]  Halima Bahi,et al.  Data mining approach , 2012 .

[29]  Tianzhen Hong,et al.  An ontology to represent energy-related occupant behavior in buildings. Part I: Introduction to the DNAs framework , 2015 .

[30]  Aya Hagishima,et al.  A methodology for peak energy requirement considering actual variation of occupants' behavior schedules , 2008 .

[31]  Jin Wen,et al.  Quantifying the human–building interaction: Considering the active, adaptive occupant in building performance simulation , 2016 .

[32]  Dirk Müller,et al.  Analysis of occupants' behavior related to the use of windows in German households , 2016 .

[33]  Darren Robinson,et al.  Adaptive actions on shading devices in response to local visual stimuli , 2010 .

[34]  Standard Ashrae Thermal Environmental Conditions for Human Occupancy , 1992 .

[35]  K. Steemers,et al.  Time-dependent occupant behaviour models of window control in summer , 2008 .

[36]  Mark Standeven,et al.  Thermal comfort for free-running buildings , 1996 .

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

[38]  Val Mitchell,et al.  A persona-based approach to domestic energy retrofit , 2014 .

[39]  Kevin J. Lomas,et al.  Sensitivity analysis techniques for building thermal simulation programs , 1992 .

[40]  Jan Hensen,et al.  Integrated building performance simulation: Progress, prospects and requirements , 2015 .

[41]  Bjarne W. Olesen,et al.  A methodology for modelling energy-related human behaviour: Application to window opening behaviour in residential buildings , 2013 .

[42]  Sebastian Herkel,et al.  Towards a model of user behaviour regarding the manual control of windows in office buildings , 2008 .

[43]  Mark Von Tress,et al.  Generalized, Linear, and Mixed Models , 2003, Technometrics.

[44]  Bjarne W. Olesen,et al.  Influence of heat cost allocation on occupants' control of indoor environment in 56 apartments: Studied with measurements, interviews and questionnaires , 2016 .

[45]  Rita Streblow,et al.  Energy performance gap in refurbished German dwellings: Lesson learned from a field test , 2016 .

[46]  Rory V. Jones,et al.  Driving factors for occupant-controlled space heating in residential buildings , 2014 .

[47]  Jlm Jan Hensen,et al.  Uncertainty analysis in building performance simulation for design support , 2011 .

[48]  Astrid Roetzel,et al.  A review of occupant control on natural ventilation , 2010 .

[49]  Stefano Paolo Corgnati,et al.  Verification of stochastic behavioural models of occupants' interactions with windows in residential buildings , 2015 .

[50]  Rune Vinther Andersen,et al.  Influence of occupant's heating set-point preferences on indoor environmental quality and heating demand in residential buildings , 2013, HVAC&R Research.

[51]  Bjarne W. Olesen,et al.  Window opening behaviour modelled from measurements in Danish dwellings , 2013 .

[52]  Dirk Saelens,et al.  Coupling of dynamic building simulation with stochastic modelling of occupant behaviour in offices – a review-based integrated methodology , 2011 .

[53]  Tianzhen Hong,et al.  A data-mining approach to discover patterns of window opening and closing behavior in offices , 2014 .

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

[55]  K. Steemers,et al.  Night-time naturally ventilated offices: Statistical simulations of window-use patterns from field monitoring , 2010 .

[56]  Joseph Andrew Clarke Integrated building performance simulation , 2001 .

[57]  Darren Robinson,et al.  A PARTIAL DOUBLE BLIND EVALUATION OF A COMPREHENSIVE WINDOW OPENING MODEL , 2010 .

[58]  Juan Sebastián Carrizo,et al.  Use of dynamic occupant behavior models in the building design and code compliance processes , 2016 .

[59]  Hugo Hens,et al.  Combined heat, air, moisture modelling: A look back, how, of help? , 2015 .