The document describes the EnRiMa DSS, a decision support system to help building facility managers with energy infrastructure investment and operational decisions. The EnRiMa DSS has two modules - a strategic module to help with investment decisions under different risk scenarios, and an operational module to optimize HVAC system operation. It was tested on a laboratory building where it helped identify potential energy savings from optimizing HVAC setpoints and operation. The EnRiMa DSS aims to provide a user-friendly interface to help facility managers lower energy costs and greenhouse gas emissions.

1. EnRiMa DSSFunctionalities
E. Perea,
A. Mera, M. Fernández, A. Eguzki
eugenio.perea@tecnalia.com
27. February 2014

2. Introduction
2
• Building Facility Manager
• Investments decisions
• Energy systems operations
• EnRiMa DSS and its functionalities
– Friendly interface.
– Risk Management.
– Support to strategic investment decisions.
– Support to operational decisions.
– Some tests in KUBIK laboratory building:
• Thermodynamic models calibrations
• Energy savings potential
• Conclusions

3. 3
Building Facility Manager
• Person in charge of the Building Facilities
management: energy infrastructures and other
services like the cleaning or furniture
accommodation.
– In charge of the energy bill and energy infrastructures
investment.
– In charge of the correct and efficient operation and use of
the energy infrastructures of the building.

4. 4
Investments decisions
• Should I:
– Replace the boilers?
– Install renewables?
– Self consume the energy generated by the CHP units or
photovoltaics?
– Renew the lighting installation?
– Refurbish the facades?
• What technology is the most profitable instead the old
boilers? CHPs with thermal solar panels, heat pumps…?
• Could be profitable:
– To purchase batteries in the new energy regulation?
– To contract an ESCo? EPC, ESC?

5. 5
Energy systems operations
• HVAC system operation could represent between 40%
and 60% of the energy bill of the building I manage.
– Should I use the three chillers at the same time? Should I use
one, and then at certain external temperature the second, and
then the third?
– What should be the leaving water temperature?
– What should be the start/stop time schedule?
– What should be the set-points?
– People are claiming for more comfort. Should I warm more the
rooms? Howe much extra energy would I pay?

6. 6
Energy systems operations
Cartacterización del consumo de la enfriadora 1 versus 2, cuando funcionan ellas
solas. Cada punto representa un cuarto de hora de funcionamiento.
0
50
100
150
200
250
300
0.00 1.00 2.00 3.00 4.00 5.00 6.00
delta T enfriadora
ConsumokWhe
enfriadora 2
enfriadora 1

7. 7
EnRiMa DSS and its functionalities
Development of a Decision Support System
about energy infrastructures dedicated to
Building Facility Managers
Strategic DVs
Strategic
Constraints
Upper-level
Operational DVs
Upper-level
Energy balance
Constraints
Lower-level
Operational DVs
Lower-level
Energy balance
Constraints
Strategic Module
Operational
Module

8. 8
EnRiMa DSS functionalities:
Support to strategic decisions and Risk Management
• The tool in the strategic module considers the following
risks:
– Energy prices evolution
– Energy loads evolution.
• It also considers:
– Technologies:
• Electric, thermal generation,
• Electric, thermal storage,
• Investment, operation&
maintenance costs,
• Energy prices,
• Energy demand
– ROI of the investment.

9. 9
EnRiMa DSS functionalities:
Data transfer automation
BEMS
KUBIK
KUBIK
sql queries
Weather forecast
simulation
(Tecnalia Meteo is the service
provider)
Tecnalia
FTP Server
Data parser
Web service
Client
Batch cycle
DSS EnRiMa and
associated DDBB
Web service
Server
Weather
forecast data
Kubik
dynamic
data
Kubik dynamic
data
Weather forecast
data
EnRiMa DSS
output
Human
Machine
Interface
Kubik static
data
Stockholm
University
Tecnalia
EnRiMa
server

10. 10
EnRiMa DSS functionalities:
Support to operational decisions

11. 11
EnRiMa DSS functionalities:
Friendly interface
Link al interface

12. EnRiMa DSS functionalities:
Some tests in KUBIK laboratory building, Sankey diagrams
• Sankey diagram

13. 13
EnRiMa DSS functionalities:
Some tests in KUBIK laboratory building,
thermodinamics models calibration
• CSIRO approximation

14. 14
EnRiMa DSS functionalities:
Some tests in KUBIK laboratory building,
Energy savings potential (1/3)

15. 15
EnRiMa DSS functionalities:
Some tests in KUBIK laboratory building,
Energy savings potential (2/3)

16. 16
EnRiMa DSS functionalities:
Some tests in KUBIK laboratory building,
Energy savings potential (3/3)

17. 17
EnRiMa DSS functionalities:
Some tests in KUBIK laboratory building,
Energy savings potential (3/3)

18. 18
Conclusions
• Building Facility Manager needs a Decision Support System for
energy infrastructure investment and operation analysis.
• EnRiMa DSS provides such a support by means of an strategic and
operational modules.
• Risks in the energy prices and energy loads are managed by the
DSS.
• HVAC systems could represent up to 40% to 60% of the energy bill
of the tertiary buildings.
• One hour of non using HVAC system could represent 5% (Tecnalia
M1) of HVAC system savings.
• 1ºC of set-point relax in the inner temperature could represent from
3% (Tecnalia M1) to 7% (KUBIK) of savings, depending on the
building and HVAC system characteristics.

19. 19
Thank you!
Questions and comments are very
welcome