Servizio Gestione Flussi Dati Energetici Edifici

COMFORT E RISPARMIO ENERGETICO NEGLI

EDIFICI ESISTENTI: DIAGNOSI,

CONTABILIZZAZIONE, MONITORIAGGIO,

BUILDING AUTOMATION

Evento realizzato in collaborazione con

Bologna, 15 ottobre 2015

Servizio di gestione

dei dati energetici degli edifici

proposto nel Progetto Sunshine

P. Cipriano, L. Giovannini Luca - Sinergis srl, Trento

M. Berti, U. Di Staso - Fondazione Graphitech, Trento

M. Zuppiroli - Dip. Architettura, Università di Ferrara

Autore - Affiliazione

Sunshine: servizio di gestione dei dati energetici

L. Giovannini et al (Sinergis srl, Trento), U. Di Staso et al (Graphitech, Trento), M. Zuppiroli (Dip. Architettura UniFE)

3

SUNSHINE project [www.sunshineproject.eu]

Smart UrbaN ServIces for Higher eNergy Efficiency

Aims at delivering innovative digital services

supporting building energy efficiency measures:• Building Energy Performance Assessment: automatic

large-scale assessment of residential heating needs.

• Building Energy Consumption Optimization: access to real-

time consumption data and weather forecasts.

• Public Lighting Energy Management: remote monitoring

and control of illumination systems.




4

Sensor Data Management service

Aim is empowering building energy managers

with knowledge about building energy behaviour:• providing highly detailed past consumption profiles and

indoor temperature, if available, and weather obs.

• visualizing correlations consumption / weather variables.

• visualizing detailed weather forecasts for 3 days in advance.

Different data flows ingested into the same Sensor DB,

data managed and made available to further processing

and visualization via common protocols and

procedures.




5




6

Service modules

• Gather all data coming from meters/sensors.

• Elaborate and generate derived data.

• Store data in a normalized format into a

repository from which they can be retrieved

through a standard interface (OGC SOS).




7

Data flows

• Consumption data from meters gathered via:• Simple FTP (File Transfer Protocol) transfer of CSV

(Comma Separated Values) files

• Feed from GreenButton standard protocol web service

• Indoor temperature readings are channelled

through the GreenButton web service

• Weather data is retrieved from a dedicated

OGC Web Feature Service web protocol

http://greenbuttondata.org/

Green Button is an industry-led standard to answer

to a White House request: provide customers with

easy access to their energy usage data in a

consumer-friendly and computer-friendly format.




9

Visualization client – Ferrara pilot




Consumption dashboard




Weather dashboard




12

-4

1

6

11

0

50

100

150

200

250

300

0 1 2 3 4 5 6 7 8 9 101112131415161718192021222324

-4

1

6

11

0

50

100

150

200

250

300

0 1 2 3 4 5 6 7 8 9 101112131415161718192021222324

-4

1

6

11

0

50

100

150

200

250

300

0 1 2 3 4 5 6 7 8 9 101112131415161718192021222324

-4

1

6

11

0

50

100

150

200

250

300

0 1 2 3 4 5 6 7 8 9 101112131415161718192021222324

Scuole Poledrelli Museo di Storia NaturaleMartedì 13/01

Mercoledì 14/01




13

Scuole Poledrelli

0

500

1000

1500

2000

2500

3000

3500

4000

0

2

4

6

8

10

12

14

16

18

20

Satu

rday

, 27

Dec

em

ber

Mo

nd

ay, 2

9 D

ece

mb

erW

edn

esd

ay, 3

1 D

ecem

be

rFr

iday

, 02

Jan

uar

ySu

nd

ay, 0

4 J

anu

ary

Tues

day

, 06

Jan

uar

yTh

urs

day

, 08

Jan

uar

ySa

turd

ay, 1

0 J

anu

ary

Mo

nd

ay, 1

2 J

anu

ary

Wed

nes

day

, 14

Jan

uar

yFr

iday

, 16

Jan

uar

ySu

nd

ay, 1

8 J

anu

ary

Tues

day

, 20

Jan

uar

yTh

urs

day

, 22

Jan

uar

ySa

turd

ay, 2

4 J

anu

ary

Mo

nd

ay, 2

6 J

anu

ary

Wed

nes

day

, 28

Jan

uar

yFr

iday

, 30

Jan

uar

ySu

nd

ay, 0

1 F

ebru

ary

Tues

day

, 03

Feb

ruar

yTh

urs

day

, 05

Fe

bru

ary

Satu

rday

, 07

Fe

bru

ary

Mo

nd

ay, 0

9 F

eb

ruar

yW

edn

esd

ay, 1

1 F

ebru

ary

Frid

ay, 1

3 F

eb

ruar

ySu

nd

ay, 1

5 F

ebru

ary

Tues

day

, 17

Feb

ruar

yTh

urs

day

, 19

Fe

bru

ary

Satu

rday

, 21

Fe

bru

ary

Mo

nd

ay, 2

3 F

eb

ruar

yW

edn

esd

ay, 2

5 F

ebru

ary

Frid

ay, 2

7 F

eb

ruar

ySu

nd

ay, 0

1 M

arch

Tues

day

, 03

Mar

chTh

urs

day

, 05

Mar

chSa

turd

ay, 0

7 M

arch

Mo

nd

ay, 0

9 M

arch

Wed

nes

day

, 11

Mar

chFr

iday

, 13

Mar

chSu

nd

ay, 1

5 M

arch

Tues

day

, 17

Mar

chTh

urs

day

, 19

Mar

chSa

turd

ay, 2

1 M

arch

Mo

nd

ay, 2

3 M

arch

Wed

nes

day

, 25

Mar

chFr

iday

, 27

Mar

chSu

nd

ay, 2

9 M

arch

Tues

day

, 31

Mar

chTh

urs

day

, 02

Ap

ril

Satu

rday

, 04

Ap

ril

Mo

nd

ay, 0

6 A

pri

lW

edn

esd

ay, 0

8 A

pri

lFr

iday

, 10

Ap

ril

Sun

day

, 12

Ap

ril

Tues

day

, 14

Ap

ril

kWh

T °

Temperatura Consumi




14

0

200

400

600

800

1000

1200

1400

1600

1800

2000

0

2

4

6

8

10

12

14

16

18

20

Satu

rday

, 27

Dec

em

ber

Mo

nd

ay, 2

9 D

ece

mb

erW

edn

esd

ay, 3

1 D

ecem

be

rFr

iday

, 02

Jan

uar

ySu

nd

ay, 0

4 J

anu

ary

Tues

day

, 06

Jan

uar

yTh

urs

day

, 08

Jan

uar

ySa

turd

ay, 1

0 J

anu

ary

Mo

nd

ay, 1

2 J

anu

ary

Wed

nes

day

, 14

Jan

uar

yFr

iday

, 16

Jan

uar

ySu

nd

ay, 1

8 J

anu

ary

Tues

day

, 20

Jan

uar

yTh

urs

day

, 22

Jan

uar

ySa

turd

ay, 2

4 J

anu

ary

Mo

nd

ay, 2

6 J

anu

ary

Wed

nes

day

, 28

Jan

uar

yFr

iday

, 30

Jan

uar

ySu

nd

ay, 0

1 F

ebru

ary

Tues

day

, 03

Feb

ruar

yTh

urs

day

, 05

Fe

bru

ary

Satu

rday

, 07

Fe

bru

ary

Mo

nd

ay, 0

9 F

eb

ruar

yW

edn

esd

ay, 1

1 F

ebru

ary

Frid

ay, 1

3 F

eb

ruar

ySu

nd

ay, 1

5 F

ebru

ary

Tues

day

, 17

Feb

ruar

yTh

urs

day

, 19

Fe

bru

ary

Satu

rday

, 21

Fe

bru

ary

Mo

nd

ay, 2

3 F

eb

ruar

yW

edn

esd

ay, 2

5 F

ebru

ary

Frid

ay, 2

7 F

eb

ruar

ySu

nd

ay, 0

1 M

arch

Tues

day

, 03

Mar

chTh

urs

day

, 05

Mar

chSa

turd

ay, 0

7 M

arch

Mo

nd

ay, 0

9 M

arch

Wed

nes

day

, 11

Mar

chFr

iday

, 13

Mar

chSu

nd

ay, 1

5 M

arch

Tues

day

, 17

Mar

chTh

urs

day

, 19

Mar

chSa

turd

ay, 2

1 M

arch

Mo

nd

ay, 2

3 M

arch

Wed

nes

day

, 25

Mar

chFr

iday

, 27

Mar

chSu

nd

ay, 2

9 M

arch

Tues

day

, 31

Mar

chTh

urs

day

, 02

Ap

ril

Satu

rday

, 04

Ap

ril

Mo

nd

ay, 0

6 A

pri

lW

edn

esd

ay, 0

8 A

pri

lFr

iday

, 10

Ap

ril

Sun

day

, 12

Ap

ril

Tues

day

, 14

Ap

ril

kWh

T °

Temperatura Consumi

Museo di Storia Naturale




15

Conclusions

The service: • manages the inbound flow of different dynamical data

• guarantees the storage of all of them in a single DB

structure - the Sensor DB based on OGC SOS protocol -

• and their publication via a single interoperable service.

Showcase use in building energy management:• energy consumption analysis for two of the project’s pilot

buildings in Ferrara, IT.

• performed on long high-frequency data series provided by

the Sensor Data Management service

Servizio Gestione Flussi Dati Energetici Edifici

Technology