This document introduces Scenario 1 of the SUNSHINE project, which aims to estimate the heating energy needs of residential buildings at a large scale using available spatial data and building properties. It describes using software modules to model and import open geographic data, verify data completeness and correctness, compute energy needs, and visualize/simulate results. The goal is to provide tools to facilitate energy planning and monitoring. The scenario also details estimating typical building heat transmission coefficients and energy consumption based on factors like construction period, U-values, degree days, building shape, and more.

1. 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”

2. SUNSHINE Training Module S1
• Presentation of SCENARIO 1
• Heating energy needs estimation
• The Map4Data App
• Building analysis and simulation tool
• Validation
ConsortiumSUNSHINEProject | GAno.325161 | CIPFPproject,ICTPSPPilotTypeB | Feb2013–Jan2016

3. 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

4. Scenario 1
Wide-scale assessment of heating energy needs
for residential buildings

5. 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.

6. Energy label (the Netherlands) …
http://energielabelatlas.nl/#zuid-holland/delft/17/52.0122/4.3612

7. https://www.youtube.com/watch?v=6kslOHSRY8U
https://www.youtube.com/user/SunshineProjectEu/videos
http://sunshine.graphitech-projects.com

8. 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

9. Footprint from cadastre
or high quality topo db
Energy consumption
from SIATEL
3D from high res. LidarUValues and other properties (e.g. age of
construction) from Energy Certificates registers

10. Regional Topographic database

11. Municipal Buildings Register
(Anagrafe Comunale degli Immobili)

12. www.sunshineproject.eu
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)

13. Missing mandatory
data; not verified.
Alcuni
Missing mandatory
data; verified.
All mandatory data
present; not verified.
All mandatory data
present; verified.

14. Building properties
(on 2nd click)
Editing of multi-value
attribute

15. www.sunshineproject.eu
SUNSHINE - Smart UrbaN ServIces for Higher eNergy Efficiency (GA no: 325161)
On-field data verification
Click to open YouTube video

18. www.sunshineproject.eu
SUNSHINE - Smart UrbaN ServIces for Higher eNergy Efficiency (GA no: 325161)
Qt = 10-3  HT  24  DD  V  S/V  A
[kWh/mA
2year] = [kW/mS
2K]  [h/Kyear]  [mS
2/mA
2]
Building Type Construction Year
Facade
element
Typical
U-value [W/m2K]
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/mS
2K]
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/Kyear]
Typical building
shape parameters
Heated volume (V) 1234 mS
3
Shape factor (S/V) 0.66 mS
-1
Useful floor area (A) 353 mS
2
Typical Consumption
Qt [kWh/mA
2year]

19. https://www.youtube.com/watch?v=6kslOHSRY8U
https://www.youtube.com/user/SunshineProjectEu/videos
http://sunshine.graphitech-projects.com

21. www.sunshineproject.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/training
or contact us directly at training@sunshineproject.eu
Source:www.unionegeometri.com
Thank you!
Luca Giovannini
Sinergis Srl
luca.giovannini@sinergis.it