1. Simulation-based evaluation of building design with respect to the planned use
Š. Emrich, M. Bruckner, S. Zerlauth, S. Tauböck, J. Funovits, N. Popper, M. Srećković, D. Wiegand, F. Breitenecker

2. Eco-Footprint vs. Utilization
Evaluation of buildings eco-efficiency with respect to activity within the building …
Eco-Footprint
Utilization =
EF (Construction + Use + Overhaul)
No. of service units (e.g. teaching unit)
… what counts is the footprint per service unit!

3. Room allocation management
Optimization of room utilization
Test of different Management- / Booking-Strategies
Optimization of room blocking
Test of scenarios and rules
Optimization of plans
Testing & improvement of plans
1 & 2 ergibt anforderung mit denen 3 gerechnet werden kann

4. Problems to tackle What is efficient space management?
How to measure it?
How to find it?
Staff adaption/adoption by staff
habbits need to change
Cooperation and coordination of stakeholders

5. Methods used Business Process Modeling (BPM/BPMN)
definition of common language
description of application scenarios
Discrete event simulation (DEVS)
Enterprise Dynamics – modeling of system
Database-driven model generation
Agent-based entities
Cellular automata (CA)
walking time simulation
Agent-based extention

6. ERD

7. Improving Entity-Control
DEVS & CA: all entities equal
Agent-Based: unique entities
Combination:
Improve control (through AB-methods)
Increase detail in entities’ behavior
Semester, Curriculum, …

9. Static & Dynamic Model generation Initialisation Booking function
existing demand
utilization
Generation of students
agent-based
Course of semester
exploitation of rooms
event-collisions
static
dynamic
Buchungsfunktion definiert Auslastung
Buchungsstrategien: Know-How aus Flächen-/Raummanagement
Dynamischer Verlauf: Ausnutzung, Terminkollisionen

10. General results Units of measurement
Number of erroneous booking entries: How many room-request cannot be fulfilled?
Utilization of rooms: How often is a room in use?
Exploitation of rooms: How is the ratio people-capacity when in use?

11. Space Management I Utilization during working days
Utilization (working days average)

12. Space Management II
Increase of room utilization by reservation of several rooms
(Semester-avergage of daily utilization)

13. Space Management III Reduction of unsatisfied booking requests
Only through control-strategy variation
No temporal modification of events!

14. Summary Eco-footprint needs connection to benefit
Efficient space management
significantly reduces number of unsatisfied room-requests
could help save resources AND money
Simulation is
appropriate tool for evaluation of space management strategies
helps gain deeper system-knowledge

15. Balanced overall concept Building concept Utilization concept
Demands & Goals
Balanced overall concept
Building concept
Utilization concept
Costs / LCBA
Optimization of plans: Pre-testing of building plans
Rapid Prototyping
Visualisation with utilization (CAD-Connection)
Owner
Charterer / FM
User
Room structure
Simulation:
Room booking
Space management
Space allocation management
Space management
Utilization concept
Development
Designer

16. Thank you for your attention!

17. Discrete Event Simulation Cellular Automata
Input-Data (Lectures, Students, Rooms, …)
Agent-based
techniques
user behaviour
walking times
Discrete Event Simulation
Cellular Automata

18. (first come-first served)
Room-request 1
20 students
Room-request 2
20 students
Room-request 3
60 students
Room reservation…
Request 1
20 students
Request 2
20 students
booking system
(first come-first served)
Request 3
60 students
c r o w d i n g – out e f f e c t

19. …with request-pooling
Room-request 1
20 students
Room-request 2
20 students
Room-request 3
60 students
…with request-pooling
„w o n“ r e s o u r c e
request-pool
Request 2
20 students
Request 1
20 students
optimization of booking-requests
ETH-Studie: Reduktion der nötigen Raumfläche um 40%
Request 3
60 students

20. Cooperation between stakeholders
Staff adaption/adoption by staff
Simulation => evaluate space magnagement strategies

21. Courses at TU Vienna >150.000 course-hours per semester
14 weeks per semester
5 days / week
10h core time/day
/ (14 * 5 * 10) = / 700
>200 course-hours per core-hour