“Defining a Spatial Decision Support
System for integrating building
energy efficiency in urban policy
decision-making”



   PhD. Stefano Pili

   Prof. Emanuela Abis
   Faculty of Architecture , University of Cagliari
Target: defining a methodology, based on simple and available data, for integrating
 buildings energy efficiency in urban policies*



  Theoretical context


                    Methodology framework



                                       Case study



                                                             Conclusions and further research




*Stefano Pili PhD thesis on Land engineering (year 2012) with supervisor Prof. Emanuela Abis
Theoretical context                   2

       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!



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

                   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 knowledge
                       Main consensus                      Shared values
STAKEOLDERS            issues                              Simple representations
Decision Makers        Policies to support
(public                RES and energy                      Questions
administrators)        savings                             What are the characteristics
                                                           of the building stock energy
Building sector        Environmental                       consumption?
companies              protection

Private owners         Building renovation
                       and urban quality                        Decision
Interested observers
                       Landscape protection                     Support
Random observers                                                System
                       Economic and social
                       development

                       …….

                                              New regulations              Specific projects
                                              and policies
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

 *Legge n°10/1991
                                                  Fuel consumption                      kWh year
  D. Lgs. 192/2005                                Operative cost                        Euro year
  D. Lgs. 311/2006
  D.P.R. 2 Aprile 2009 n° 59                      CO2 emission                          kgCO2/ sm years
  D.M. 26 Giugno 2009                             EPC Energy Label




standard calculation (UNI 11300 1-2-3 and ISO EN 13790:2008)
  No human factor
 For tower buildings, EPC calculation could be                      For the existing building is allow to use the
 done setting the thermal zone equal to the                         list of building structures in to 11300-1
 building volume
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)




Needh = (Qhve+ Qht) - Futh *(Qhint+ Qhsol)
                                                            (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%
Case Study: S. Benedetto di Cagliari district   8
Case study: area   9
Case study: area   10
Case study: typology definition               11



Archetype     Date of construction    wall                               insulation            Glazing Ratio
                                      Small building, Rendered Wall, 60-
             1Before 1919                                                no                    17%-19%
                                      70cm thick
                                      Small building, Rendered Wall, 60-
             2Between 1919 and 1945                                      no                    17%-19%
                                      70cm thick

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

                                      Rendered Wall and Concrete, 60-
             4Between 1946 and 1961                                      no                    18%-19%
                                      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

            Without or weak energy regulation                         Energy regulation
Case study: typology definition              12

                                                       After 1991 (3,7%)
                                                                              0,8%
                                                               1,5% 0,8%                     Archetype
                                                              1,4%                    3,0%     1, before 1919
                                                       3,6%
                                              2,2%                                             2, 1919_45
             After 1991 (7,7%)
                                                                                               3, 1919_45
                                                                                   19,1%
                                                                                               4, 1946_61
                   4,1% 1,8% 2,7%
       2,7% 1,8%                                    21,6%                                      5, 1962_71
      1,4%
                                                                                               6, 1972_81
                                    15,8%
                                                                                               7, 1982_91

     15,8%                                                                                     8, 1992_2005
                                                                           45,9%               9, 1992_2005R
                                            18,1%                                              10, after_2005
                                                               Available surface


                  35,7%
n° of buildings
Case study: tipology               13




Plant:HP              between 1919 and 1945     Plants: HP             between 1919 and 1945
Rendered stone wall                             Rendered stone wall




Plant: HP               between 1946 and 1961   Plant :centralized boiler between 1962 and1971
Rendered stone wall and Concrete                Concrete and cavity wall
Case study: Actual state                    14




                                                                 Need
                                                                 [kWh/ sm year]
                                                                     5,8 – 35,0
                                                                     35,0 – 50,0
                                                                     50,0 – 65,0
                                                                     65,0 – 80,0
                                                                     80,0 – 100,0
                                                                     100,0 – 160,0




Vista 3D della mappa del fabbisogno
Conclusions and further research    15

                                  further researchs
                                  Assess the potential of the technological
 achieve objectives               improvements defining standard metodologies

 The methodology could help       Proof the methodology simulating a real decision
                                  process with experts: more detailed archetype
 in building energy layer         definition, more detailed technological improvements
 themes in order to design        and accurate policy design.

 urban        policies    using   Test more the Tools, to improve efficiency and
 available Italian data           precision

                                  Define methods to provide the base data: survey,
                                  matching existing data base, City Sensing, LIDAR, eco
                                  feed back …

                                  And more


           THANKS for your attention
Contacts: stefano.pili@unica.it     emabis@unica.it

Pili abis input2012

  • 1.
    “Defining a SpatialDecision Support System for integrating building energy efficiency in urban policy decision-making” PhD. Stefano Pili Prof. Emanuela Abis Faculty of Architecture , University of Cagliari
  • 2.
    Target: defining amethodology, based on simple and available data, for integrating buildings energy efficiency in urban policies* Theoretical context Methodology framework Case study Conclusions and further research *Stefano Pili PhD thesis on Land engineering (year 2012) with supervisor Prof. Emanuela Abis
  • 3.
    Theoretical context 2 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! Lack of building stock energy consumption data: Building shape, materials, building technical devices 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
  • 4.
    Theoretical context :research target 3 Shared knowledge Main consensus Shared values STAKEOLDERS issues Simple representations Decision Makers Policies to support (public RES and energy Questions administrators) savings What are the characteristics of the building stock energy Building sector Environmental consumption? companies protection Private owners Building renovation and urban quality Decision Interested observers Landscape protection Support Random observers System Economic and social development ……. New regulations Specific projects and policies
  • 5.
    Theoretical context: sharedvalues 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 *Legge n°10/1991 Fuel consumption kWh year D. Lgs. 192/2005 Operative cost Euro year D. Lgs. 311/2006 D.P.R. 2 Aprile 2009 n° 59 CO2 emission kgCO2/ sm years D.M. 26 Giugno 2009 EPC Energy Label standard calculation (UNI 11300 1-2-3 and ISO EN 13790:2008) No human factor For tower buildings, EPC calculation could be For the existing building is allow to use the done setting the thermal zone equal to the list of building structures in to 11300-1 building volume
  • 6.
    Methodology : decisionmaking process 5 hypothetic scenarios
  • 7.
    Methodology : GIStool framework 6
  • 8.
    Methodology : discussionresults 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) Needh = (Qhve+ Qht) - Futh *(Qhint+ Qhsol) (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%
  • 9.
    Case Study: S.Benedetto di Cagliari district 8
  • 10.
  • 11.
  • 12.
    Case study: typologydefinition 11 Archetype Date of construction wall insulation Glazing Ratio Small building, Rendered Wall, 60- 1Before 1919 no 17%-19% 70cm thick Small building, Rendered Wall, 60- 2Between 1919 and 1945 no 17%-19% 70cm thick 3Between 1919 and 1945 Rendered Wall, 60-70cm thick no 14%-17% Rendered Wall and Concrete, 60- 4Between 1946 and 1961 no 18%-19% 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 Without or weak energy regulation Energy regulation
  • 13.
    Case study: typologydefinition 12 After 1991 (3,7%) 0,8% 1,5% 0,8% Archetype 1,4% 3,0% 1, before 1919 3,6% 2,2% 2, 1919_45 After 1991 (7,7%) 3, 1919_45 19,1% 4, 1946_61 4,1% 1,8% 2,7% 2,7% 1,8% 21,6% 5, 1962_71 1,4% 6, 1972_81 15,8% 7, 1982_91 15,8% 8, 1992_2005 45,9% 9, 1992_2005R 18,1% 10, after_2005 Available surface 35,7% n° of buildings
  • 14.
    Case study: tipology 13 Plant:HP between 1919 and 1945 Plants: HP between 1919 and 1945 Rendered stone wall Rendered stone wall Plant: HP between 1946 and 1961 Plant :centralized boiler between 1962 and1971 Rendered stone wall and Concrete Concrete and cavity wall
  • 15.
    Case study: Actualstate 14 Need [kWh/ sm year] 5,8 – 35,0 35,0 – 50,0 50,0 – 65,0 65,0 – 80,0 80,0 – 100,0 100,0 – 160,0 Vista 3D della mappa del fabbisogno
  • 16.
    Conclusions and furtherresearch 15 further researchs Assess the potential of the technological achieve objectives improvements defining standard metodologies The methodology could help Proof the methodology simulating a real decision process with experts: more detailed archetype in building energy layer definition, more detailed technological improvements themes in order to design and accurate policy design. urban policies using Test more the Tools, to improve efficiency and available Italian data precision Define methods to provide the base data: survey, matching existing data base, City Sensing, LIDAR, eco feed back … And more THANKS for your attention Contacts: [email protected] [email protected]