data-driven occupancy patterns · 2020. 9. 17. · dr. olivia guerra-santin data-driven occupancy...
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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 AFTER DELIVERY
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 AFTER DELIVERY
PERFORMANCE GAP (EXPECTED
VS. REAL)
ACTUAL ENERGY USE
CHALLENGES
Accurate simulations and calculations
User understanding environmental effects
Design according to users’ needs and preferences
User understanding of technology
Data-Driven SOLUTIONS
Building performance and occupants
4
PRE-BOUND EFFECT
REBOUND EFFECT
INFLUENCE OF HOUSEHOLD TYPOLOGY
RELATIONSHIP PEOPLE-
TECHNOLOGY
BEFORE DELIVERY AFTER DELIVERY
PERFORMANCE GAP (EXPECTED
VS. REAL)
ACTUAL ENERGY USE
Accurate simulations and calculations
User understanding environmental effects
Design according to users’ needs and preferences
User understanding of technology
Data-Driven SOLUTIONS
CHALLENGES
SINGLE SENIORTime at homeTemperatureSetback
Radiators bedroomsRadiators others
Ventilation
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
TemperatureSetback
Ventilation
Radiators bedroomsRadiators others
SENIORS COUPLETime at homeTemperature
Setback
Ventilation
Radiators bedroomsRadiators others
Occupants profiles: actual needs and preferences
Statistically determined household profiles
6
Occupants profiles: actual needs and preferences
Statistically determined household profiles
2ndSkin renovation solution
7
Building monitoring
Occupants profiles: actual needs and preferences
Building performance and occupants
8
PRE-BOUND EFFECT
REBOUND EFFECT
INFLUENCE OF HOUSEHOLD TYPOLOGY
RELATIONSHIP PEOPLE-
TECHNOLOGY
BEFORE DELIVERY AFTER DELIVERY
PERFORMANCE GAP (EXPECTED
VS. REAL)
ACTUAL ENERGY USE
Accurate simulations and calculations
User understanding environmental effects
Design according to users’ needs and preferences
User understanding of technology
Data-Driven SOLUTIONS
CHALLENGES
9
Mixed methods incl. data mining complemented by walkthroughs, interviews, etc.
Occupants profiles: actual needs and preferences
OCCUPANTS’ BEHAVIOUR PATTERNS FOR BUILDING SIMULATION
UNDERSTANDING HEATING PRACTICES AND BEHAVIOUR
QUANTITATIVE ANALYSIS (monitoring Data)
QUALITATIVE ANALYSIS (Interviews)
INDOOR PARAMETERS
OCCUPANTS’ BEHAVIOUR
BUILDING OPERATION
THERMAL COMFORT HOUSEHOLD
DAILY PRACTICES
HEATING PRACTICES
THERMAL COMFORT PREFERENCES
ATTITUDES
10
Occupants profiles: actual needs and preferences
NEEDS
PREFERENCES
PRACTICES
ATTITUDES
CONVENIENCEENVIRONMENTENERGY COSTSTHERMAL COMFORT
ADJUSTING CLOTHING
HOT BEVERAGES AND SHOWERS
DIFFERENCE - HOUSEHOLD MEMBERS
WORKING HOME
11
PRE-BOUND EFFECT
REBOUND EFFECT
INFLUENCE OF HOUSEHOLD TYPOLOGY
RELATIONSHIP PEOPLE-
TECHNOLOGY
BEFORE DELIVERY AFTER DELIVERY
PERFORMANCE GAP (EXPECTED
VS. REAL)
ACTUAL ENERGY USE
CHALLENGES
Accurate simulations and calculations
User understanding environmental effects
Design according to users’ needs and preferences
User understanding of technology
Data-Driven SOLUTIONS
Future data-driven applications on occupancy?
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