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"

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Pili abis input2012

  1. 1. “Defining a Spatial Decision SupportSystem for integrating buildingenergy efficiency in urban policydecision-making” PhD. Stefano Pili Prof. Emanuela Abis Faculty of Architecture , University of Cagliari
  2. 2. 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
  3. 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. 4. Theoretical context : research target 3 Shared knowledge Main consensus Shared valuesSTAKEOLDERS issues Simple representationsDecision Makers Policies to support(public RES and energy Questionsadministrators) savings What are the characteristics of the building stock energyBuilding sector Environmental consumption?companies protectionPrivate owners Building renovation and urban quality DecisionInterested observers Landscape protection SupportRandom observers System Economic and social development ……. New regulations Specific projects and policies
  5. 5. 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 Labelstandard 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. 6. Methodology : decision making process 5 hypothetic scenarios
  7. 7. Methodology : GIS tool framework 6
  8. 8. 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%
  9. 9. Case Study: S. Benedetto di Cagliari district 8
  10. 10. Case study: area 9
  11. 11. Case study: area 10
  12. 12. Case study: typology definition 11Archetype 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. 13. 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
  14. 14. Case study: tipology 13Plant:HP between 1919 and 1945 Plants: HP between 1919 and 1945Rendered stone wall Rendered stone wallPlant: HP between 1946 and 1961 Plant :centralized boiler between 1962 and1971Rendered stone wall and Concrete Concrete and cavity wall
  15. 15. 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 – 160,0Vista 3D della mappa del fabbisogno
  16. 16. 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 attentionContacts: stefano.pili@unica.it emabis@unica.it

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