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Desogus, Mura, Pisano & Ricciu - input2012
Desogus, Mura, Pisano & Ricciu - input2012
Desogus, Mura, Pisano & Ricciu - input2012
Desogus, Mura, Pisano & Ricciu - input2012
Desogus, Mura, Pisano & Ricciu - input2012
Desogus, Mura, Pisano & Ricciu - input2012
Desogus, Mura, Pisano & Ricciu - input2012
Desogus, Mura, Pisano & Ricciu - input2012
Desogus, Mura, Pisano & Ricciu - input2012
Desogus, Mura, Pisano & Ricciu - input2012
Desogus, Mura, Pisano & Ricciu - input2012
Desogus, Mura, Pisano & Ricciu - input2012
Desogus, Mura, Pisano & Ricciu - input2012
Desogus, Mura, Pisano & Ricciu - input2012
Desogus, Mura, Pisano & Ricciu - input2012
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Desogus, Mura, Pisano & Ricciu - input2012

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Giuseppe Desogus, Salvatore Mura, Gian Luca Pisano and Roberto Ricciu on "Planning energy saving measures for existing buildings through linear problems solving "

Giuseppe Desogus, Salvatore Mura, Gian Luca Pisano and Roberto Ricciu on "Planning energy saving measures for existing buildings through linear problems solving "

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  • 1. Tools and methods for sustainability in planning processesPlanning energy saving measures for existing buildings through linear problems solving Giuseppe Desogus, Salvatore Mura, Gian Luca Pisano, Roberto Ricciu Department of Civil and Environmental Engineering and Architecture, University of Cagliari
  • 2. Tools and methods for sustainability in planning processes Research’s aim: The application of a linear problem solving technique on existing dwellings energy savings planning .Desogus G. Mura S. Pisano G.L. Ricciu R. - Planning energy saving measures for existing buildings through linear problems solving
  • 3. Tools and methods for sustainability in planning processes Houses by geographical area 4.000.000 15.000.000 R egional N ational 3.000.000 10.000.000 2.000.000 5.000.000 1.000.000 0 0 1951 1961 1971 1981 1991 2001 years NW Italy NE Italy Middle Italy South Italy Insular Italy Italy Data from 14th Population and House Census, National Institute of Statistics (ISTAT)Desogus G. Mura S. Pisano G.L. Ricciu R. - Planning energy saving measures for existing buildings through linear problems solving
  • 4. Tools and methods for sustainability in planning processes Data from Energy and Environment Reports, ENEADesogus G. Mura S. Pisano G.L. Ricciu R. - Planning energy saving measures for existing buildings through linear problems solving
  • 5. Tools and methods for sustainability in planning processes At the moment the most widespread solutions to improve existing buildings energy performance in Italy are: •Partial or complete renovation of HVAC system; •Horizontal structures (roofs included) insulation; •External wall insulation; •External windows or doors replacement; •Thermal or PV solar panels installation.Desogus G. Mura S. Pisano G.L. Ricciu R. - Planning energy saving measures for existing buildings through linear problems solving
  • 6. Tools and methods for sustainability in planning processes The choice of which energy saving measures best fit to an existing building depends at least by three main factors: •Building features (age, dimensions, construction technologies, HVAC systems and use); •Local climatic conditions; •Market costs of energy saving measures.Desogus G. Mura S. Pisano G.L. Ricciu R. - Planning energy saving measures for existing buildings through linear problems solving
  • 7. Tools and methods for sustainability in planning processes Planning the best mix of energy saving works for a known context always requires a building type classification. Dwellings should be grouped by: •Age; •Dimensions; •construction technologies; •HVAC systems. For a small-scale context, local climate classification can be neglected.Desogus G. Mura S. Pisano G.L. Ricciu R. - Planning energy saving measures for existing buildings through linear problems solving
  • 8. Tools and methods for sustainability in planning processes N = building types identified M = energy saving works The problem is finding the number of each work for each type of building that gives the best results in terms of energy saving and invested capital. xi,j unknown quantities are N·M Mathematical expressions of energy savings and costs are linear equations, thus, if appropriate constraints are identified, linear programming techniques can be used. Among them the Simplex Algorithm is adopted in this study.Desogus G. Mura S. Pisano G.L. Ricciu R. - Planning energy saving measures for existing buildings through linear problems solving
  • 9. Tools and methods for sustainability in planning processesDesogus G. Mura S. Pisano G.L. Ricciu R. - Planning energy saving measures for existing buildings through linear problems solving
  • 10. Tools and methods for sustainability in planning processes A case study: optimizing national policy of energy saving subsidies (the so-called “55% tax-reduction” ) Decision model inputs: •number of submitted applications by geographical area; •annual average energy saving by geographical area; •average cost for works by geographical area; •annual cost per MWh saved All data extracted from ENEA “55%” Reports.Desogus G. Mura S. Pisano G.L. Ricciu R. - Planning energy saving measures for existing buildings through linear problems solving
  • 11. Tools and methods for sustainability in planning processes A case study: optimizing national policy of energy saving subsidies (the so-called “55% tax-reduction” ) 25 (5x5)decision variables: •Number of wall energy efficiency works; •Number of energy efficiency works for horizontal element; •Number of windows energy efficiency works; •Number of plant system replacing works; •Number of solar panels installations. Related to geographical areas: •North-West Italy; •North-East Italy; •Middle Italy; •Southern Italy; •Insular Italy.Desogus G. Mura S. Pisano G.L. Ricciu R. - Planning energy saving measures for existing buildings through linear problems solving
  • 12. Tools and methods for sustainability in planning processes Best scenario for Macro area No. Works Cost € Energy saving GWh energy efficiency NW Italy measure subsides by category and Horizontal element inprovement works 204 146 3 882 657 878 3 774 geographical area. Wall improvement works 1 844 099 17 729 628 811 36 702 Window improvement works 4 014 705 15 566 265 880 11 899 NE Italy Horizontal element inprovement works 4 976 359 66 446 335 912 91 999 Wall improvement works 4 976 359 42 627 926 625 99 042 Heating system replacing 2 322 649 13 316 791 909 22 797 Middle Italy Horizontal element inprovement works 2 773 439 38 476 681 943 51 273 Wall improvement works 1 145 004 9 101 278 982 22 788 Window improvement works 3 955 181 14 809 977 495 11 723 Solar panels installations 4 728 293 12 977 036 553 36 442 Heating system replacing 4 954 312 21 185 257 401 48 627 South Italy Heating system replacing 690 658 1 975 523 610 6 779 Insular Italy Solar panels installations 3 214 236 6 220 993 066 24 773 Total 39 799 440 264 316 356 066 468 617Desogus G. Mura S. Pisano G.L. Ricciu R. - Planning energy saving measures for existing buildings through linear problems solving
  • 13. Tools and methods for sustainability in planning processes Economic performance 100% 90% 80% % energy efficiency 70% 60% 50% 40% 30% 20% 10% 0% 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% 85% 90% 95% 100% % works Present trend Proposed model trend Costs reduction - Proposed decision model trend compared to the present one.Desogus G. Mura S. Pisano G.L. Ricciu R. - Planning energy saving measures for existing buildings through linear problems solving
  • 14. Tools and methods for sustainability in planning processes Energy performance 100% 90% 80% 70% % energy efficiency 60% 50% 40% 30% 20% 10% 0% 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% 85% 90% 95% 100% % works Present trend Proposed model trend Energy use reduction - Proposed decision model trend compared to the present one.Desogus G. Mura S. Pisano G.L. Ricciu R. - Planning energy saving measures for existing buildings through linear problems solving
  • 15. Tools and methods for sustainability in planning processes Conclusions: •Energy retrofit works on existing buildings can be very expensive and invasive. In most case only few solutions can be adopted. Among them the most profitable should be identified; •The actual energy efficiency policies are only private initiative based; •Using suitable decision instruments in planning can lead to consistent energy and public capital savings.Desogus G. Mura S. Pisano G.L. Ricciu R. - Planning energy saving measures for existing buildings through linear problems solving

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