SUNSHINE data workflow: raccolta, integrazione, processing, validazione, fruizione...

Luca Giovannini | Sinergis

Smart UrbaN ServIces for Higher eNergy Efficiency

Scenario 1 Wide-scale assessment of heating energy needs

for residential buildings

Scenario 2 Building energy awareness tools to support

efficient management of heating/cooling systems

Scenario 3 Remote monitoring and control of public lighting systems

to support a more energy efficient management

Scenario 1 Wide-scale assessment of heating energy needs

for residential buildings

L’idea… • Stime dettagliate disponibili solo per un insieme ristretto di edifici/unità

immobiliari • Obiettivo è una stima semplificata, che possa essere applicata a

grande scala, basandosi sui dati di base e disponibili pubblicamente – Footprints, heights, construction periods…

– Building construction typologies…

L’obiettivo… • Fornire strumenti di monitoraggio, stima e pianificazione per gli

amministratori pubblici relativi al consumo energetico di edifici

residenziali su scala cittadina.

In tutta Europa i certificati

energetici riguardano una

piccola fetta dello stock edilizio.

In Italia, nel 2014, solo il 6% delle

unità immobiliari aveva un APE

3,6 milioni di APE/ACE emessi a dicembre 2014 (http://www.cti2000.eu/rapporto-ce-2014/)

59 milioni di unità immobiliari censite al 2011 (A, B, C, D, E) (http://wwwt.agenziaentrate.gov.it/mt/comunicazione/Gli%20immobili%20in%20Italia%202011/Gli%20immobili%20in%20Italia%202011%20-%20capitolo%201.pdf)

Energy label (the Netherlands) …

http://energielabelatlas.nl/#zuid-holland/delft/17/52.0122/4.3612

https://www.youtube.com/watch?v=6kslOHSRY8U https://www.youtube.com/user/SunshineProjectEu/videos

http://sunshine.graphitech-projects.com

Heating energy need estimation

Set of software modules for:

1. Model/import open geodata on spatial db – GeoUML Catalogue, PostGIS, QGIS

2. Verify completeness/correctness (app) – PhoneGap

3. Compute energy needs – WPS

4. Visualize / simulate / validate – Cesium

Footprint, superfici, numero UIU, usi

databese topografico, db catastale, ACI

Consumo gas / elettricità

Servizio SIATEL (Ag.Entrate)

Età, altezza (osservazione e

misurazione sul campo)

EP, trasmittanza e altre proprietà da SACE

e/o stima da dati tipologici (TABULA)

DB Topografico Regionale

Anagrafe Comunale degli Immobili

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SUNSHINE - Smart UrbaN ServIces for Higher eNergy Efficiency (GA no: 325161)

Databases and desk research Age of construction of buildings (source: Cervellati L. (editor), 1976, Il centro storico di Ferrara, Franco Angeli)

Buildings destroyed during II world war

(source: University of Ferrara)

Missing mandatory

data; not verified.

Alcuni

Missing mandatory

data; verified.

All mandatory data

present; not verified.

All mandatory data present; verified.

Building properties (on 2nd click)

Editing di

attributi multi-

valore Più tipologie d’uso possibili per lo stsso edificio

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SUNSHINE - Smart UrbaN ServIces for Higher eNergy Efficiency (GA no: 325161)

On-field data verification

Click to open YouTube video

Edifici

residenziali

Attributi necessari per la stima del

fabbisogno energetico

1. Footprint e altezza degli edifici

2. Età di costruzione (o periodo)

3. Tipologia d’uso dell’edificio

(residenziale, commerciale, etc…)

Opzionali Numero di piani, coefficienti di dispersione

dell’involucro, superficie riscaldata, etc…

Dalla geometria al Building Type

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SUNSHINE - Smart UrbaN ServIces for Higher eNergy Efficiency (GA no: 325161)

Qt = 10-3 HT 24 DD V S/V A [kWh/mA

2year] = [kW/mS2K] [h/Kyear] [mS

2/mA2]

Building Type Construction Year

Facade element

Typical U-value [W/m2K]

Typical % of facade

Walls full/semi-full bricks 1,08

60%

Roof bricks and concrete 0,95

10%

Floor bricks and concrete 0,92

10%

Windows thermal break frames + low-emission glass

2,63

20%

Typical heath transmission coefficient for building envelope

HT [W/mS2K]

Country Climatic Zone

Typical climatic parameters

Heating season lenght 183 days

Average outdoor temperature during the heating season

12° C

Indoor design temperature 20° C

Typical Degree Days DDt [days/Kyear]

Typical building shape parameters

Heated volume (V) 1234 mS3

Shape factor (S/V) 0.66 mS-1

Useful floor area (A) 353 mS2

Typical Consumption Qt [kWh/mA

2year]

https://www.youtube.com/watch?v=6kslOHSRY8U https://www.youtube.com/user/SunshineProjectEu/videos

http://sunshine.graphitech-projects.com

Validazione con dati di consumo (SIATEL) ? Chiave geografica

(da normalizzare)

Consumo

Poco appropriato: consumo ≠ fabbisogno, necessita aggregazione per edificio

Validazione con i certificati energetici

Chiave geografica Fabbisogno

Fruizione dati e servizi SUNSHINE

con strumenti GIS

http://sunshine.sinergis.it/geoserver/graphitech/wms

http://sunshine.sinergis.it/geoserver/graphitech/wfs

Scenario 2

Building energy awareness tools to support

efficient management of heating/cooling systems

Efficient building energy management

Local metering infrastructure:

1. Smart digital meters or readers

2. Concentrator and publishing end-point

Set of software modules for:

1. Import consumption/weather data flows

2. Visualize/validate energy consumption

3. Correlate consumption with weather

4. Compute suggestions on efficient heating

system management based on weather

forecast

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SUNSHINE - Smart UrbaN ServIces for Higher eNergy Efficiency (GA no: 325161)

Pilot’s Head-end

green button

SUNSHINE

Sensor DB

FTP local folder

local concentrator

green button

Data flow infrastructure

meters

weather stations

forecasts

Meteogrid

WFS

Scheduler

SOS

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SUNSHINE - Smart UrbaN ServIces for Higher eNergy Efficiency (GA no: 325161)

Smart meters / readers

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.

http://greenbuttondata.org/

Example of GreenButton data

http://greenbuttondata.org/

ENEL joins GreenButton Alliance!

https://sigym3.com/users/graphitech/maps/europe_obs/

Weather data repository - METEOGRID

Heating comfort profile – Scuole Elementari Poledrelli, Ferrara

Hourly consumption – Natural History Museum

Daily consumption – Natural History Museum

Hourly weather observations - Ferrara

Hourly weather forecast - Ferrara

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THANK YOU!

Luca Giovannini luca.giovannini@sinergis.it Sinergis (SGIS)