S.1.1 Introduction to Scenario 1

21
www.sunshineproject.eu SUNSHINE - Smart UrbaN ServIces for Higher eNergy Efficiency (GA no: 325161) D6.4 S1.1 Introduction to SUNSHINE Scenario 1 „Building Energy Awareness”

Transcript of S.1.1 Introduction to Scenario 1

Page 1: S.1.1 Introduction to Scenario 1

ww

w.s

un

shin

ep

roje

ct.

eu

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

D6.4 S1.1

Introduction to SUNSHINE Scenario 1 „Building Energy Awareness”

Page 2: S.1.1 Introduction to Scenario 1

SUNSHINE Training Module S1

• Presentation of SCENARIO 1

• Heating energy needs estimation

• The Map4Data App

• Building analysis and simulation tool

• Validation

Co

nso

rtiu

mSUNSHINE Project | GA no. 325161 | CIP FP project, ICT PSP Pilot Type B | Feb 2013 –Jan 2016

Page 3: S.1.1 Introduction to Scenario 1

Smart UrbaN ServIces for Higher eNergy Efficiency

Scenario 1Wide-scale assessment of heating energy needs

for residential buildings

Scenario 2Building energy awareness tools to support

efficient management of heating/cooling systems

Scenario 3Remote monitoring and control of public lighting systems

to support a more energy efficient management

Page 4: S.1.1 Introduction to Scenario 1

Scenario 1Wide-scale assessment of heating energy needs

for residential buildings

Page 5: S.1.1 Introduction to Scenario 1

The idea …• The idea is to estimate the energy performance of

residential buildings at large scale (city-wide), using

available spatial data (geodata) from authoritative

sources:– Footprints, heights, construction periods…

– Building construction typologies…

The goal …• To provide an approach and tools to facilitate the

planning and the monitoring of energy plans.

Page 6: S.1.1 Introduction to Scenario 1

Energy label (the Netherlands) …

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

Page 7: S.1.1 Introduction to Scenario 1

https://www.youtube.com/watch?v=6kslOHSRY8Uhttps://www.youtube.com/user/SunshineProjectEu/videos

http://sunshine.graphitech-projects.com

Page 8: S.1.1 Introduction to Scenario 1

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

Page 9: S.1.1 Introduction to Scenario 1

Footprint from cadastre

or high quality topo db

Energy consumption

from SIATEL

3D from high res. Lidar UValues and other properties (e.g. age of

construction) from Energy Certificates registers

Page 10: S.1.1 Introduction to Scenario 1

Regional Topographic database

Page 11: S.1.1 Introduction to Scenario 1

Municipal Buildings Register

(Anagrafe Comunale degli Immobili)

Page 12: S.1.1 Introduction to Scenario 1

ww

w.s

un

shin

ep

roje

ct.

eu

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

Databases and desk researchAge 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)

Page 13: S.1.1 Introduction to Scenario 1

Missing mandatory

data; not verified.

Alcuni

Missing mandatory

data; verified.

All mandatory data

present; not verified.

All mandatory data present; verified.

Page 14: S.1.1 Introduction to Scenario 1

Building properties(on 2nd click)

Editing of multi-valueattribute

Page 15: S.1.1 Introduction to Scenario 1

ww

w.s

un

shin

ep

roje

ct.

eu

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

On-field data verification

Click to open YouTube video

Page 16: S.1.1 Introduction to Scenario 1
Page 17: S.1.1 Introduction to Scenario 1
Page 18: S.1.1 Introduction to Scenario 1

ww

w.

su

ns

hi

ne

pr

oj

ec

t.

eu

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

Facadeelement

TypicalU-value [W/m2K]

Typical% of facade

Walls full/semi-full bricks1,08

60%

Roof bricks and concrete0,95

10%

Floor bricks and concrete0,92

10%

Windows thermal break frames + low-emission glass

2,63

20%

Typical heath transmissioncoefficient 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 DaysDDt [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 ConsumptionQt [kWh/mA

2year]

Page 19: S.1.1 Introduction to Scenario 1

https://www.youtube.com/watch?v=6kslOHSRY8Uhttps://www.youtube.com/user/SunshineProjectEu/videos

http://sunshine.graphitech-projects.com

Page 20: S.1.1 Introduction to Scenario 1
Page 21: S.1.1 Introduction to Scenario 1

ww

w.s

un

shin

ep

roje

ct.

eu

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

Credits

For more training material and courses visit http://www.sunshineproject.eu/solutions/trainingor contact us directly at [email protected]

Sou

rce:

ww

w.u

nio

neg

eom

etri

.co

m

Thank you!

Luca Giovannini

Sinergis Srl

[email protected]