pili abis input2012
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Stefano Pili and Emanuela Abis on "Defining a Spatial Decision Support System for integrating building energy efficiency in urban policy decision-making"TRANSCRIPT
“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: [email protected] [email protected]