Chair of Smart Architectural Technologies, Department of the Built Environment
Dr. Olivia Guerra-Santin
Data-driven occupancy patterns
What occupancy factors are important to predict building performance?
Building performance and occupants
2
PRE-BOUND EFFECT
REBOUND EFFECT
INFLUENCE OF HOUSEHOLD TYPOLOGY
RELATIONSHIP PEOPLE-
TECHNOLOGY
BEFORE DELIVERY (DESIGN PHASE)
AFTER DELIVERY (USE PHASE)
PERFORMANCE GAP (EXPECTED
VS. REAL)
ACTUAL ENERGY USE
CHALLENGES
Building performance and occupants
3
PRE-BOUND EFFECT
REBOUND EFFECT
INFLUENCE OF HOUSEHOLD TYPOLOGY
RELATIONSHIP PEOPLE-
TECHNOLOGY
BEFORE DELIVERY (DESIGN PHASE)
AFTER DELIVERY (USE PHASE)
PERFORMANCE GAP (EXPECTED
VS. REAL)
ACTUAL ENERGY USE
CHALLENGES
More accurate simulations and
calculations
User understanding of environmental
effects
Design according to user needs and
preferences
User understanding of
building technology
DD SOLUTIONS
Building performance and occupants
4
More accurate simulations and
calculations
User understanding of environmental
effects
Design according to user needs and
preferences
User understanding of
building technology
PRE-BOUND EFFECT
REBOUND EFFECT
INFLUENCE OF HOUSEHOLD TYPOLOGY
RELATIONSHIP PEOPLE-
TECHNOLOGY
BEFORE DELIVERY (DESIGN PHASE)
AFTER DELIVERY (USE PHASE)
PERFORMANCE GAP (EXPECTED
VS. REAL)
ACTUAL ENERGY USE
CHALLENGES
DD SOLUTIONS
SINGLE SENIORTime at homeTemperatureSetbackRadiators
bedroomsRadiators othersVentilation
MORE ENERGY INTENSIVE
LESS ENERGY INTENSIVE
LAR
GER
HO
USE
HO
LD
SMA
LLER
HO
USE
HO
LD
NUCLEAR FAMILYTime at home
TemperatureSetback
Ventilation
Radiators bedroomsRadiators others
SINGLE-PARENTTime at homeTemperature
Setback
Ventilation
Radiators bedroomsRadiators others
THREE ADULTSTime at homeTemperature
Setback
Ventilation
Radiators bedroomsRadiators others
SINGLE ADULTTime at homeTemperature
Setback
Ventilation
Radiators bedroomsRadiators others
ADULTS COUPLETime at home Temperature
Setback
Ventilation
Radiators bedroomsRadiators others
SENIORS COUPLETime at homeTemperature
Setback
Ventilation
Radiators bedroomsRadiators others
Occupants profiles: actual needs and preferences
Statistically determined household profiles
Development of Dutch occupancy and heating profiles for building simulation. Guerra-Santin & Silvester. BRI 45(4), 2017
https://doi.org/10.1080/09613218.2016.1160563
6
Occupants profiles: actual needs and preferences
Statistically determined household profiles
2ndSkin renovation solution
Considering user profiles and occupants’ behaviour on a zero energy renovation strategy for multi-family housing in the Netherlands. Guerra-Santin et al. Energy Efficiency 11(7) 1847-1870.
https://link.springer.com/article/10.1007/s12053-018-9626-8
7
Building monitoring
Occupants profiles: actual needs and preferences
https://doi.org/10.1016/j.enbuild.2019.109688
Understanding the performance gap in energy retrofitting: Measured input data for adjusting building simulation models. Cuerda et al. ENB 209, 2020
Building performance and occupants
8
More accurate simulations and
calculations
User understanding of environmental
effects
Design according to user needs and
preferences
User understanding of
building technology
PRE-BOUND EFFECT
REBOUND EFFECT
INFLUENCE OF HOUSEHOLD TYPOLOGY
RELATIONSHIP PEOPLE-
TECHNOLOGY
BEFORE DELIVERY (DESIGN PHASE)
AFTER DELIVERY (USE PHASE)
PERFORMANCE GAP (EXPECTED
VS. REAL)
ACTUAL ENERGY USE
CHALLENGES
DD SOLUTIONS
9
Actual needs and preferences Drivers for behaviour
Mixed methods incl. data mining complemented by walkthroughs, interviews, etc.
Occupants profiles: actual needs and preferences
Occupancy practices
QUANTITATIVE ANALYSIS(Monitoring data)
QUALITATIVE ANALYSIS(Interviews, etc.)
OCCUPANTS’ BEHAVIOUR PATTERNS FOR BUILDING SIMULATION
UNDERSTANDING HEATING PRACTICES AND BEHAVIOUR
INDOOR PARAMETERS
BUILDING OPERATION
THERMAL COMFORT
VOTES
OCCUPANTS’ BEHAVIOUR
HEATING PRACTICES
HOUSEHOLD DAILY PRACTICES
ATTITUDES
THERMAL COMFORT
PREFERENCES
https://doi.org/10.1016/j.enbuild.2016.08.084
Mixed methods approach to determine occupants’ behaviour – Analysis of two case studies, Guerra-Santin et al. ENB 130 546-566, 2016.
10
Needs
Drivers for behaviour
Mixed methods incl. data mining complemented by walkthroughs, interviews, etc.
Occupants profiles: actual needs and preferences
Occupancy practices
ENVIRONMENT
REDUCING ENERGY COSTS
COMFORT
CONVENIENCE
ADJUSTMENT CLOTHING
SHOWER, DRINK TO KEEP WARM
DIFFERENCES COMFORT/ FAMILY MEMBERSPreferences
WORKING CONDITION