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?