Stockholm district heating system <strong>and</strong> to analyse thepotential for CHP generati<strong>on</strong> in the system.2. CASE STUDYThere are three large district heating networks inStockholm that deliver more than 12 TWh of heatannually, produced in some 70 heating plants [5].Table I shows the heat producti<strong>on</strong>, types of baseproducti<strong>on</strong> <strong>and</strong> installed heat <strong>and</strong> electricity capacity inthose networks. Six of the plants in the system areCHP plants with total installed electricity capacity ofabout 600 MW, which gives a possibility for producti<strong>on</strong>of over 2 TWh of electricity annually [5].Table I. – Major district heating networks in Stockholm. [5]SouthcentralNorthwestSoutheastHeat producti<strong>on</strong> inthe year 2005 [TWh] 9.4 2.2 0.53Installed heatcapacity [MW] 4000 700 300Installed electricitycapacity [MW] 493 105 20Base producti<strong>on</strong>3. METHODSCHPwaste,CHPcoalBCHPNGCHPA combinati<strong>on</strong> of methods from social science <strong>and</strong>technical science has been used; modelling withMODEST <strong>and</strong> semi-structured interviews withrepresentatives from the largest energy companies.MODEST is an energy-system optimisati<strong>on</strong> model withtime-dependent comp<strong>on</strong>ents that was developed atLinköping University in Sweden. MODEST uses linearprogramming to calculate the most profitablecombinati<strong>on</strong> of existing <strong>and</strong> potential new facilities <strong>and</strong>shows which investment opti<strong>on</strong>s are financiallyviable [5].3.1 The structure of the interviewsThe interviews were c<strong>on</strong>ducted during the spring of2009, with representatives from the five largest energycompanies producing <strong>and</strong>/or distributing district heatingin the Stockholm regi<strong>on</strong>. These are Fortum, Norrenergi,Söderenergi, E.ON <strong>and</strong> Vattenfall. The representativeswere chosen by the companies themselves, since theycould better decide who would be most appropriate toanswer questi<strong>on</strong>s regarding interc<strong>on</strong>necti<strong>on</strong>s,cooperati<strong>on</strong> <strong>and</strong> future strategies. We decided to let theresp<strong>on</strong>dents remain an<strong>on</strong>ymous, since <strong>on</strong>e of theinterviewees wanted this. The interviews were semistructured,as we had similar questi<strong>on</strong>s for most ofThe <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>ia289them, although with some differences depending <strong>on</strong> thecompany. Because a semi-structured interview is aqualitative method, the possibility of using openquesti<strong>on</strong>s is an advantage, <strong>and</strong> since we are interestedin a specific situati<strong>on</strong>, the interviewees have thechance to give their opini<strong>on</strong>. It also gives theopportunity to analyze the answers in different ways, tounderst<strong>and</strong> the opini<strong>on</strong>s expressed [7].3.2 Modelling Stockholm’s district heating systemBased <strong>on</strong> the data from ―Open district heating networkin greater Stockholm‖ [5] a model of Stockholm‘sdistrict heating system has been c<strong>on</strong>structed.Purchases <strong>and</strong> sales prices of electricity, taxes <strong>and</strong>tradable green certificates (TGC) are included in themodel (Table II) as well as the operating <strong>and</strong>maintenance costs for all plants <strong>and</strong> fuel prices.However, due to agreements with the c<strong>on</strong>tact pers<strong>on</strong>sfrom the district heating companies, the prices for fuelare not presented in the paper.Table II – The average annual purchases <strong>and</strong> sales pricesof electricity, including all taxes <strong>and</strong> TGC. [8], [9], [1]Current price of electricity [€/MWh]Purchase Sale Sale with TGCincluded70.10 35.46 67.56European price of electricity [€/MWh]Purchase Sale Sale with TGCincluded83.30 48.65 80.77Carb<strong>on</strong> dioxide emissi<strong>on</strong>s used in this paper are shownin Table III [10]. However, since the greenhouse effectis a global problem, carb<strong>on</strong> dioxide (CO 2 ) emissi<strong>on</strong>sare not simply analysed from a local perspective butalso in regard to a global perspective. The globalemissi<strong>on</strong>s of CO 2 (GECO 2 ) of the system are calculatedwith the assumpti<strong>on</strong> that electricity produced in theplants is going to replace marginal power producti<strong>on</strong> inthe integrated European electricity market. Since coalfiredc<strong>on</strong>densing power plants have the highestvariable cost compared with other sources of electricityin the EU, they work as the marginal powerproducti<strong>on</strong> [11]. When assuming that the coal-firedc<strong>on</strong>densing power plants have an electricity efficiencyof 33%, each megawatt-hour of electricity generated insuch a plant releases approximately <strong>on</strong>e t<strong>on</strong>ne of CO 2 .According to that, any increase in electricity producti<strong>on</strong>in Stockholm‘s district heating system can lead toreduced producti<strong>on</strong> in the marginal coal c<strong>on</strong>densingpower plants, <strong>and</strong> c<strong>on</strong>sequently to a reducti<strong>on</strong> of<strong>on</strong>e t<strong>on</strong>ne of CO 2 emissi<strong>on</strong>s. However, it is necessaryto menti<strong>on</strong> that c<strong>on</strong>sidering the EU Emissi<strong>on</strong>s TradingScheme (EU ETS), the decrease of CO 2 emissi<strong>on</strong>s in
electricity producti<strong>on</strong> sector does not necessarily tolead to reducti<strong>on</strong> of GECO2 [12]. But the marginalelectricity c<strong>on</strong>cept still has significance for futuremeasurement of <strong>and</strong> planning for future limitati<strong>on</strong>s ofCO 2 emissi<strong>on</strong>s <strong>and</strong> the future trading system.Table III. – Net emissi<strong>on</strong>s of CO 2 [10].FuelEmissi<strong>on</strong>s kg/MWhfuelOil 280Coal 330Waste 100Biomass 0Electricity 950Natural gas 2303.3 Descripti<strong>on</strong> of chosen scenariosNine different scenarios have been analysedc<strong>on</strong>sidering the possible future cases (Table IV), withspecial attenti<strong>on</strong> to ec<strong>on</strong>omic <strong>and</strong> envir<strong>on</strong>mentalaspects.The existing district heating system (scenario 1) <strong>and</strong>the system with three new CHP plants that are plannedto bee built according to the interviews <strong>and</strong> documents(scenario 4) have been analysed. Since the baseproducti<strong>on</strong>s in the networks differ, the differencesbetween the producti<strong>on</strong>‘s costs in different parts of thesystem are notable. Because of that, in both cases(scenarios 1 <strong>and</strong> 4) the influences of a betterc<strong>on</strong>nectivity between networks have been studied(scenarios 2 <strong>and</strong> 5).Table IV. – List of the chosen scenarios.Sc.Plantsin thedistrictheatingsystemC<strong>on</strong>nectivityElectricitypriceTGC1 existing existing Nordpool exist2 existing <strong>on</strong>e Nordpool existnetwork 13 existing existing EU exist4 + new existing Nordpool existCHPP5 + new <strong>on</strong>e network Nordpool existCHPP6 BCHP <strong>on</strong>e network Nordpool exist7 BCHP <strong>on</strong>e network EU exist8 BCHP <strong>on</strong>e network EU do notexist9 NGCHP <strong>on</strong>e network EU -1) Interc<strong>on</strong>necti<strong>on</strong>s between the south-central <strong>and</strong> thenorth-west networks have been introduced as well asinterc<strong>on</strong>necti<strong>on</strong>s between south-central <strong>and</strong> south-eastnetworks. Capacities for existing pipes have beenincreased.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>ia290Since electricity generati<strong>on</strong> will probably be the primaryproducti<strong>on</strong> in all district heating companies in thefuture, when the Swedish electricity price becomes ashigh as the typical European price, in scenarios 6-9 ourresearch focuses <strong>on</strong> the cogenerati<strong>on</strong> potential inStockholm's district heating system. Scenario 1 hasbeen used as a reference scenario for scenario 6.Scenario 3, where the influences of a higher electricityprice <strong>on</strong> the system with the existing plants have beenanalysed, has been used as a reference scenario forscenarios 7–9. Scenarios 6-9 are analysed as possiblefuture cases that may exist more than 10 years fromtoday. Because of that, all plants in the scenarios arenew so the investment costs for all plants arec<strong>on</strong>sidered. While in the scenarios 6, 7 <strong>and</strong> 8 thesystem c<strong>on</strong>sists of 31 CHP plants fuelled by solidbiomass (BCHP), there are a total of 46 CHP plantsfuelled by natural gas (NGCHP) in scenario 9. Inscenario 9 it is assumed that the natural gas networkexists al<strong>on</strong>g the Swedish east cost.The characteristics of the CHP plants that have beenintegrated in the model of the district heating system inscenarios 4–9 are presented in Table V [13].Table V. – The characteristics of the new integrated CHPplants in scenarios 4–9 [13].Sc.4–5Technical characteristicsFuelElectricaloutputMWe %FuelefficiencyΑ*biomass 30 110 0.45waste 20 91 0.32biomass 80 110 0.466–8 biomass 80 113 0.519 natural gas 150 89 1.414–5Ec<strong>on</strong>omic characteristicsProcessplant costOperating <strong>and</strong> maintenance€/KWe % of PPC €/MWh fuel2 745 1.5 2.455 440 3 9.312 110 1.5 2.456–8 2 110 1.5 2.459 715 2.5 0.9* electrical/thermal output3.4 Previous studiesTwo studies regarding Stockholm´s district heatingsystem were d<strong>on</strong>e in the years 2005 [10] <strong>and</strong> 2006[14], <strong>and</strong> the results showed that benefits for betterc<strong>on</strong>nectivity between some parts of the system existed.
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academic access is facilitated as t
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