The <str<strong>on</strong>g>12th</str<strong>on</strong>g> <str<strong>on</strong>g>Internati<strong>on</strong>al</str<strong>on</strong>g> <str<strong>on</strong>g>Symposium</str<strong>on</strong>g> <strong>on</strong> <strong>District</strong> <strong>Heating</strong> <strong>and</strong> <strong>Cooling</strong>,September 5 th to September 7 th , 2010, Tallinn, Est<strong>on</strong>iaThe results show that the period 1965–1974 did nothave a dramatically higher heat use in the c<strong>on</strong>structi<strong>on</strong>year analysis.3. Degree daysThe climate in Sweden varies with a much colderclimate in the northern part compared to the southernpart. Since the statistical data c<strong>on</strong>sist of buildings fromdifferent parts of Sweden, the influence of the localclimate <strong>on</strong> the heat use in buildings can be analysed.This has been d<strong>on</strong>e by analysing the correlati<strong>on</strong>between the number of degree days for the locati<strong>on</strong> ofa building <strong>and</strong> the corresp<strong>on</strong>ding specific heat use.The number of degree days, according to the Swedishdefiniti<strong>on</strong>, varies from approximately 3000 in the southup to 7000 in the north of Sweden. Each building in theanalysis was c<strong>on</strong>nected to <strong>on</strong>e of 14 climate areas.Heat usekWh/m 2400350300in the theoretical analysis of the optimal wall insulati<strong>on</strong>as a functi<strong>on</strong> of degree-days.The results show that the average difference betweenNorthern <strong>and</strong> Southern Sweden was small, implying asmall climatic impact <strong>on</strong> heat use. The main c<strong>on</strong>clusi<strong>on</strong>from this analysis is that the individual variati<strong>on</strong> in eachclimate area is much higher than the local impact ofclimate. This ast<strong>on</strong>ishing c<strong>on</strong>clusi<strong>on</strong> can have severaldifferent explanati<strong>on</strong>s:Higher awareness <strong>and</strong> c<strong>on</strong>sequences of lowbuilding heat resistances in Northern SwedenLower regi<strong>on</strong>al GDP in Northern Sweden givinghigher incentive to reduce heat costsMore frequent snow cover in Northern Swedengiving extra heat resistance during the winter.4. Energy efficiency measures.The statistical data shows the energy efficiencymeasures during the period 1995–2005. The energyefficiencymeasures were:a. Supplementary insulati<strong>on</strong>250200150100y = 15,63x 0,28b. More energy efficient windowsc. Balancing heating- <strong>and</strong> ventilati<strong>on</strong> systemsd. Electrical efficiency measures5002000 2500 3000 3500 4000 4500 5000Degree-daysFig. 6 Specific heat use for 5111 multi-family buildings asa functi<strong>on</strong> of the number degree days in each climatearea.Heat usekWh/m 240035030025020015010050y = 10,37x 0,3002000 2500 3000 3500 4000 4500 5000Number of degree-daysFig. 7 Specific heat use for 6041 service buildings as afuncti<strong>on</strong> of degree days in each climate area.Fig. 6 <strong>and</strong> Fig. 7 show the specific heat use as afuncti<strong>on</strong> of degree days for multi-family buildings <strong>and</strong>service sector premises. The figures also show theaverage curve <strong>and</strong> its equati<strong>on</strong> for specific heat use asa functi<strong>on</strong> of degree-days. You should also note thatthe exp<strong>on</strong>ent in the fitted equati<strong>on</strong>s has <strong>on</strong>ly themagnitude of 0.3 instead of the 0.5 exp<strong>on</strong>ent obtainede. Heat recovery in ventilati<strong>on</strong> systemsIn multi-family buildings, <strong>on</strong>e or several energyefficiency measures were implemented for anestimated floor area of 57.6 milli<strong>on</strong> square metresduring the period 1995–2005. No energy efficiencymeasures had been performed for an estimated floorarea of 92.2 milli<strong>on</strong> square metres during the sameperiod.In service sector premises, with an estimated floor areaof 37.2 milli<strong>on</strong> square metres, <strong>on</strong>e or several measureshad been taken during the period 1995-2005. Duringthe same period, no measures had been taken for anestimated floor area of 70.3 milli<strong>on</strong> square metres.The most comm<strong>on</strong> measures in multi-family buildings<strong>and</strong> service sector premises were balancing of heating<strong>and</strong>ventilati<strong>on</strong> systems.In many buildings, a combinati<strong>on</strong> of two or severalenergy efficiency measures had been taken in thesame building. In some buildings, up to five measureshave been taken in the same building.The average heat use in multi-family buildings <strong>and</strong>service sector premises in relati<strong>on</strong> to measures takenis shown by bars in Fig. 8 <strong>and</strong> Fig. 9. The horiz<strong>on</strong>tallines show the average heat use in buildings, in whichno energy efficiency measure was performed.275
The <str<strong>on</strong>g>12th</str<strong>on</strong>g> <str<strong>on</strong>g>Internati<strong>on</strong>al</str<strong>on</strong>g> <str<strong>on</strong>g>Symposium</str<strong>on</strong>g> <strong>on</strong> <strong>District</strong> <strong>Heating</strong> <strong>and</strong> <strong>Cooling</strong>,September 5 th to September 7 th , 2010, Tallinn, Est<strong>on</strong>iaCONCLUSIONThe main c<strong>on</strong>clusi<strong>on</strong>s from the analysis were:Fig. 8 Average heat use in multi-family buildings inrelati<strong>on</strong> to the measures performed. The measure figurescorresp<strong>on</strong>d to the measures defined in the text.Individual variati<strong>on</strong>s dominate compared tosystematic causes regarding the specific heatuse in multi-family <strong>and</strong> service sector buildings.The district heating companies can help theircustomers by identifying them as high, mediumor low users of heat.On the short term, a significant potential existsfor lower heat use in the Swedish multi-family<strong>and</strong> service sector buildings.More efficient heat use in buildings will probablyrepresent the most important competitor todistrict heating supply in the future.Fig. 9 Average heat use in service sector premises inrelati<strong>on</strong> to the measures performed. The measure figurescorresp<strong>on</strong>d to the measures defined in the text.As shown in the figures 8 <strong>and</strong> 9, there were nosubstantial differences in heat use between buildingswhere energy-saving measures had been taken <strong>and</strong>those where they had not. The c<strong>on</strong>clusi<strong>on</strong> from thisanalysis is that the measures taken during these 10years were taken by late-comers rather than by earlyadopters, since heat use after measures were takengenerally corresp<strong>on</strong>ds to the average level for allbuildings.In the Swedish energy efficiency debate, manyvoices refer to systematic causes for high heatuse. However, the results from this study do notsupport this opini<strong>on</strong>, since the distributi<strong>on</strong> ofheat use mostly comes from individual causes.The most important implicati<strong>on</strong> of the studyresults is then that systematic policy measureswill have a low impact <strong>on</strong> total nati<strong>on</strong>al energyefficiency.REFERENCES[1] Statistics Sweden, Energistatistik förflerbostadshus 2006 (Energy statistics for multifamilyhouses during 2006). StatistiskaMeddel<strong>and</strong>en EN16SM0702.[2] Statistics Sweden, Energistatistik för lokaler 2006(Energy statistics for premises during 2006).Statistiska Meddel<strong>and</strong>en EN16SM0703.[3] Andreass<strong>on</strong> M, Borgström M, WernerS, Värmeanvändning i flerbostadshus och lokaler(Heat use in multi-family buildings <strong>and</strong> premises2006) Fjärrsyn report 2009:4, Stockholm 2009.Available at www.svenskfjarrvarme.se276
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