“Defining a Spatial Decision Support

System for integrating building

energy efficiency in urban policy

PhD. Stefano Pili

Prof. Emanuela AbisFaculty of Architecture , University of Cagliari

energy efficiency in urban policy

decision-making”

Target: defining a methodology, based on simple and available data, for integrating

buildings energy efficiency in urban policies*

Theoretical context

Methodology framework Methodology framework

Case study

Conclusions and further research

*Stefano Pili PhD thesis on Land engineering (year 2012) with supervisor Prof. Emanuela Abis

Lack of building stock energy consumption data:Building shape, materials, building technical devices

Buildings facilities account for 33% (2003) of total Italian energy consumption.

About the 93% of the Italian building stock as built without energy regulations (before 1991)

RENOVATE ITALIAN BUILDING STOCK!

Theoretical context 2

Available technological solutions: Technical and economic bonds

Regulations bonds

Cultural bonds

Ill structured problem*:

Iterative approach

Consensual not optimal solution

*SIMON 1960, DENSHAM 1991, TURBAN 2005

Theoretical context : research target 3

Shared knowledgeShared values

Simple representations

Main consensus

issues

Policies to support

RES and energy

savings

Environmental

protection

STAKEOLDERS

Decision Makers

(public

administrators)

Building sector

companies

QuestionsWhat are the characteristics

of the building stock energy

consumption?

Decision

Support

System

New regulations

and policies

Specific projects

Building renovation

and urban quality

Landscape protection

Economic and social

development

…….

Private owners

Interested observers

Random observers

Theoretical context: shared values 4

Building Energy efficiency UM

UNI 11300 parameters HVAC energy need kWh/ sm year.

Envelope heat loss kWh/ sm year

Ventilation heat loss kWh/ sm year

Solar heat gain kWh/ sm year

Internal heat gain kWh/ sm year

EPC parameters* global plant efficiency %

Heating Primary Energy need kWh/ sm year

DHW Primary Energy need kWh/ sm year

No human factor

For the existing building is allow to use the

list of building structures in to 11300-1

For tower buildings, EPC calculation could be

done setting the thermal zone equal to the

building volume

*Legge n°10/1991

D. Lgs. 192/2005

D. Lgs. 311/2006

D.P.R. 2 Aprile 2009 n° 59

D.M. 26 Giugno 2009

standard calculation (UNI 11300 1-2-3 and ISO EN 13790:2008)

Fuel consumption kWh year

Operative cost Euro year

CO2 emission kgCO2/ sm years

EPC Energy Label

Methodology : decision making process 5

hypothetic

scenarios

Methodology : GIS tool framework 6

Methodology : discussion results 7

Standard stairwell surface

Simplified external context (shadows, solar gain)

It use standard building structures and materials

from the UNI 11300-1 list

strong conservative calculation (Baggio 2008)

(DOCET user handbook)

(Tool-DOCET)/

DOCET

Qht=Perdite dall’involucro [kWh] -1-8,5%

Qhve = perdite per ventilazione [kWh] <+/-0,5%

Qhint = guadagni interni [kWh] <+/-0,5%

Qhsol = guadagni solari [kWh] +26,5-30%

Futh = fattore dinamico F(Costante tempo [h] +20%-30%

Needh = Fabbisogno netto [kWh] -18-24%

Superficie utile [mq] <+/-0,5%

Needh = (Qhve+ Qht) - Futh *(Qhint+ Qhsol)

Case Study: S. Benedetto di Cagliari district 8

Case study: area 9

Case study: area 10

Archetype Date of construction wall insulation Glazing Ratio

1Before 1919 Small building, Rendered Wall, 60-

70cm thickno 17%-19%

2Between 1919 and 1945Small building, Rendered Wall, 60-

70cm thickno 17%-19%

3Between 1919 and 1945 Rendered Wall, 60-70cm thick no 14%-17%

4Between 1946 and 1961Rendered Wall and Concrete, 60-

70cm thick, no 18%-19%

Case study: typology definition 11

70cm thick,

5Between 1962 and 1971 Cavity Wall, 25-35cm thick no 19%-23%

6Between 1972 and 1981 Cavity Wall, 25-35cm thick insulation ? 19%-23%

7Between 1982 and 1991 Cavity Wall, 25-30cm thick insulation (3 cm) 20%-23%

8Between 1991 and 2005 Cavity Wall, 25-30cm thick insulation (3-5cm) 21%-25%

9After 2005 different tipe25-30cm thick insulation (5-7cm) 21%-25%

10Renovated building Rendered Wall, 60-70cm thick insulation (3-5cm) 17%-19%

without energy regulation

Energy regulationWithout or weak energy regulation

Case study: typology definition 12

0,8%

3,0%

19,1%

21,6%

2,2%

3,6%1,4%

1,5% 0,8%

1, before 1919

2, 1919_45

3, 1919_45

4, 1946_61

5, 1962_71

Archetype

2,7%

1,4%

2,7% 1,8%4,1% 1,8%

After 1991 (7,7%)

After 1991 (3,7%)

45,9%

Available surface

6, 1972_81

7, 1982_91

8, 1992_2005

9, 1992_2005R

10, after_2005

15,8%

18,1%

35,7%

15,8%

1,4%

n° of buildings

Plants: HP between 1919 and 1945

Rendered stone wall

Case study: tipology 13

Plant:HP between 1919 and 1945

Rendered stone wall Rendered stone wall

Plant :centralized boiler between 1962 and1971

Concrete and cavity wall

Plant: HP between 1946 and 1961

Rendered stone wall and Concrete

Rendered stone wall

5,8 – 35,0

35,0 – 50,0

50,0 – 65,0

65,0 – 80,0

80,0 – 100,0

100,0 – 160,0

Need

[kWh/ sm year]

Case study: Actual state 14

Vista 3D della mappa del fabbisogno

Conclusions and further research 15

Assess the potential of the technological

improvements defining standard metodologies

Proof the methodology simulating a real decision

process with experts: more detailed archetype

definition, more detailed technological improvements

and accurate policy design.

Test more the Tools, to improve efficiency and

achieve objectives

further researchs

The methodology could help

in building energy layer

themes in order to design

urban policies using Test more the Tools, to improve efficiency and

precision

Define methods to provide the base data: survey,

matching existing data base, City Sensing, LIDAR, eco

feed back …

And more

available Italian data

THANKS for your attentionContacts: stefano.pili@unica.it emabis@unica.it