Ponencias de la jornada técnica “Proyectos europeos en eficiencia energética en edificación”

EnRiMa DSSFunctionalities

E. Perea,A. Mera, M. Fernández, A. Eguzki

[email protected]. February 2014

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

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

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

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

Energy systems operationsCartacterización del consumo de la enfriadora 1 ver sus 2, cuando funcionan ellas

solas. Cada punto representa un cuarto de hora de f uncionamiento.

0

50

100

150

200

250

300

0.00 1.00 2.00 3.00 4.00 5.00 6.00

delta T enfriadora

Con

sum

o kW

he

enfriadora 2

enfriadora 1

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-levelOperational DVs

Upper-levelEnergy balance

Constraints

Lower-levelOperational DVs

Lower-levelEnergy balance

Constraints

Strategic Module

OperationalModule

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

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

EnRiMa DSS functionalities: Support to operational decisions

11

EnRiMa DSS functionalities: Friendly interface

Link al interface

EnRiMa DSS functionalities: Some tests in KUBIK laboratory building, Sankey dia grams

• Sankey diagram

13

EnRiMa DSS functionalities: Some tests in KUBIK laboratory building,

thermodinamics models calibration

• CSIRO approximation

14

EnRiMa DSS functionalities: Some tests in KUBIK laboratory building,

Energy savings potential (1/3)

15

EnRiMa DSS functionalities: Some tests in KUBIK laboratory building,

Energy savings potential (2/3)

16

EnRiMa DSS functionalities: Some tests in KUBIK laboratory building,

Energy savings potential (3/3)

17

EnRiMa DSS functionalities: Some tests in KUBIK laboratory building,

Energy savings potential (3/3)

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

Thank you!

Questions and comments are very welcome