Occupant behavior lifestyles in a residential nearly zero energy building: Effect on energy use and thermal comfort

Occupant behavior is one of the most significant driving factors of uncertainty in the prediction of building energy use. Large performance gaps have been individuated between residential buildings with the same properties and similar climate conditions. Comfort criteria settings by the occupants and their interaction with the envelope and the systems directly affect the operation of buildings and related energy uses. This study employs building simulations to demonstrate the potential impact of occupant behavior lifestyles and different household compositions on energy use and thermal comfort conditions in a residential nearly zero energy building under-construction. In detail, occupant behavior was classified into three lifestyles: low consumer, standard consumer, and high consumer. The analysis considered energy-related behavioral patterns (regulation of heating and cooling set-points, energy use for equipment, lighting and domestic hot water, ventilation rates, regulation of window blinds) and highlighted key variables, which need to be addressed by decision-makers of behavioral change programs for conscious use of nearly zero energy buildings. While predictive studies concerning energy performance investigated mainly nearly zero energy building models that addressed the optimization of the building features themselves, this research reveals the urgent need of reference models related to human behavioral issues.

[1]  Tianzhen Hong,et al.  Occupant Behavior: Impact onEnergy Use of Private Offices , 2013 .

[2]  Da Yan,et al.  Quantitative description and simulation of human behavior in residential buildings , 2012 .

[3]  Cristina Becchio,et al.  The Influence of Energy Targets and Economic Concerns in Design Strategies for a Residential Nearly-Zero Energy Building , 2014 .

[4]  Enrico Fabrizio,et al.  Cost optimality assessment of a single family house: Building and technical systems solutions for the nZEB target , 2015 .

[5]  Liz Varga,et al.  A framework for targeting household energy savings through habitual behavioural change , 2016 .

[6]  O. T. Masoso,et al.  The dark side of occupants’ behaviour on building energy use , 2010 .

[7]  Michael J. Brandemuehl,et al.  EFFECTS OF VARIATIONS OF OCCUPANT BEHAVIOR ON RESIDENTIAL BUILDING NET ZERO ENERGY PERFORMANCE , 2011 .

[8]  Cristina Becchio,et al.  nZEB Design: Challenging between Energy and Economic Targets , 2015 .

[9]  Zosia Brown,et al.  Feedback and adaptive behaviour in green buildings , 2009 .

[10]  Stefano Paolo Corgnati,et al.  Smart meters and energy savings in Italy: Determining the effectiveness of persuasive communication in dwellings , 2014 .

[11]  Thomas F. Sanquist,et al.  The Role of Occupant Behavior in Achieving Net Zero Energy: A Demonstration Project at Fort Carson , 2013 .

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

[13]  Stefano Paolo Corgnati,et al.  The challenge of designing and building nZEBs: a single-family house in Italy , 2014 .

[14]  Tianzhen Hong,et al.  Advances in research and applications of energy-related occupant behavior in buildings ☆ , 2016 .

[15]  A Stoecklein,et al.  Energy end-use in New Zealand houses , 1998 .

[16]  S. Owens,et al.  How to change attitudes and behaviours in the context of energy , 2008 .

[17]  Yeonsook Heo,et al.  Calibration of building energy models for retrofit analysis under uncertainty , 2012 .

[18]  Radu Zmeureanu,et al.  Optimization of Net-Zero Energy Solar Communities: Effect of Uncertainty due to Occupant Factors , 2011 .

[19]  Rune Vinther Andersen,et al.  Description of occupant behaviour in building energy simulation: state-of-art and concepts for their improvement , 2011 .

[20]  C. Becchioa,et al.  Design and Construction of an nZEB in Piedmont Region , North Italy , 2016 .

[21]  Kathryn B. Janda,et al.  Buildings don't use energy: people do , 2011 .

[22]  Enrico Fabrizio,et al.  Calibration of Building Energy Simulation Models Based on Optimization: A Case Study , 2015 .

[23]  Neil Allan,et al.  Low-energy dwellings: the contribution of behaviours to actual performance , 2010 .

[24]  M. Newborough,et al.  Dynamic energy-consumption indicators for domestic appliances: environment, behaviour and design , 2003 .

[25]  François Garde,et al.  USERS' BEHAVIOR AND ENERGY PERFORMANCES OF NET ZERO ENERGY BUILDINGS , 2011 .

[26]  David E. Gunderson,et al.  Understanding high performance buildings: The link between occupant knowledge of passive design systems, corresponding behaviors, occupant comfort and environmental satisfaction , 2015 .

[27]  E. Shove Converging Conventions of Comfort, Cleanliness and Convenience , 2003 .

[28]  Ardeshir Mahdavi,et al.  THE HUMAN DIMENSION OF BUILDING PERFORMANCE SIMULATION , 2011 .