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12th International Symposium on District Heating and Cooling

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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>iaTable 3: Results – Multiperiod ModelBase Case - Case 1CHP DH Load [%] 100 90 80 70 60 50 40 30 totalTime [h] 2440 530 530 530 530 530 - - 212 daysFuel Input [MW] 25.90 23.19 20.39 17.47 14.58 11.91 - - 109.56 GWhPower [MW] 6.29 5.64 4.91 4.06 3.22 2.54 - - 26.13 GWh<strong>District</strong> Heat [MW] 16.50 14.85 13.20 11.55 9.90 8.25 - - 70.85 GWhCHP + Pyrolysis - Case 2CHP DH Load [%] 100 90 80 70 60 50 40 30 totalTime [h] 2440 530 530 530 530 530 - - 212 daysFuel Input [MW] 25.90 36.49 44.24 52.42 60.21 53.88 - - 194.13 GWhPower [MW] 6.29 5.54 4.69 3.71 2.88 2.25 - - 25.45 GWh<strong>District</strong> Heat [MW] 16.50 14.85 13.20 11.55 9.90 8.25 - - 70.85 GWhPyrolysis Slurry [MW] 12.21 21.16 30.60 39.58 36.76 - - 74.31 GWhCHP + Pyrolysis - Prol<strong>on</strong>ged Operati<strong>on</strong> Hours - Case 3CHP DH Load [%] 100 90 80 70 60 50 40 30 totalTime [h] 2266 633 633 633 633 633 633 633 279 daysFuel Input [MW] 25.90 36.49 44.24 52.42 60.21 50.97 39.56 28.88 256.62 GWhPower [MW] 6.29 5.54 4.69 3.71 2.88 2.27 1.71 1.18 28.17 GWh<strong>District</strong> Heat [MW] 16.50 14.85 13.20 11.55 9.90 8.25 6.60 4.95 81.26 GWhPyrolysis Slurry [MW] 0.00 12.21 21.16 30.60 39.58 33.79 26.11 19.00 115.46 GWhTable 4: Results - PEF <strong>and</strong> CO2 CoefficientBase CaseCase 1CHP + PyrolysisCase2CHP + Pyrolysis -Prol<strong>on</strong>ged Operati<strong>on</strong>Case 3Required Backup Power MWh 27.8 27.8 15.5Total PEF [-] 0.80 0.79 0.68CO2 Coefficient kg/MWh 38.6 42.1 -5.3CONCLUSION AND DISCUSSIONThe work shows that by integrati<strong>on</strong> of a CHP plant withwood pyrolysis operati<strong>on</strong> hours can be increases by30%, a valuable product can be co-produced <strong>and</strong> PEEas well as the CO 2 emissi<strong>on</strong> coefficient of the DHN canbe substantially improved. As next steps morecomprehensive data of the fuel supply chain should beimplemented to get more realistic values that willapprove the trend shown with this work. The processcan be further improved by integrating heat that is setfree during the c<strong>on</strong>densati<strong>on</strong> of the pyrolysis liquid <strong>and</strong>gaseous product. The heat is available in atemperature range from approximately 500 °C to 25 °C<strong>and</strong> could hence be used for steam superheating,feedwater preheating, but also for DH generati<strong>on</strong>. Thisintegrati<strong>on</strong> is not a simple task since many plantparameters influence each other. The heat integrati<strong>on</strong>must be carried out together with a pinch analysis toassure an energy efficient integrati<strong>on</strong>.174Another open questi<strong>on</strong> is the influence of the realpyrolysis gas <strong>on</strong> the combusti<strong>on</strong> temperature <strong>and</strong> fluegas properties. In order to gather more details of thepyrolysis process a simple pyrolysis model is currentlyunder development. Together with the power plantmodel the integrati<strong>on</strong> can be further optimised aimingfor highest PEE al<strong>on</strong>g with low CO 2 emissi<strong>on</strong>coefficients.Further an ec<strong>on</strong>omic analysis should be carried out inorder to show potential ec<strong>on</strong>omic benefits. Theintegrati<strong>on</strong> itself seems to be viable – a statement thatis supported by a press release from June 2009 whereboiler manufacturer Metso <strong>and</strong> forestry company UPMannounced the development of a new viable fastpyrolysis process benefitting from the integrati<strong>on</strong> with aCHP plant [11].C<strong>on</strong>cerning the European st<strong>and</strong>ards used forevaluati<strong>on</strong>, it can be said that the power b<strong>on</strong>us methodcan be easily adapted to a polygenerati<strong>on</strong> c<strong>on</strong>cept

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