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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>iaAnnual cost ($)$2,500,000$2,400,000$2,300,000$2,200,000$2,100,000$2,000,000$1,900,000$1,800,000$1,700,000$1,600,0000.60 0.62 0.64 0.66 0.68 0.70 0.72 0.74 0.76 0.78 0.80 0.82No carb<strong>on</strong> taxf-factor (-)Carb<strong>on</strong> tax $30/tCO2Fig.5. Relati<strong>on</strong> between f-factor <strong>and</strong> annual cost crossflowheat exchanger system, with <strong>and</strong> without carb<strong>on</strong> tax.From the foregoing, it is clear that useful comparis<strong>on</strong>scan be made using this methodology. The results fromexergoec<strong>on</strong>omic analyses can significantly deviatefrom those obtained with a classical analysis. Which ofthe two is the more relevant <strong>on</strong>e will depend <strong>on</strong> thesituati<strong>on</strong>. For n<strong>on</strong>-integrated systems, the classicalanalysis may be the <strong>on</strong>e to follow, but for integratedenergy systems, which are expected to become more<strong>and</strong> more important, the temperature level of heatbecomes important, <strong>and</strong> the exergoec<strong>on</strong>omic analysisseems more appropriate. Using the f-factor will help infinding optimum soluti<strong>on</strong>s, especially for exergoec<strong>on</strong>omicanalyses.Variati<strong>on</strong>s in external factors, such as fuel costs orGovernment / utility incentives could change the shapeof the curves to make the minimum more pr<strong>on</strong>ounced.CONCLUSION AND SUGGESTIONS FOR FURTHERWORKFrom the results of testing the methodology ofexergoec<strong>on</strong>omic optimizati<strong>on</strong> using the f-factor, it isclear that it is a useful tool to determine the effects ofdifferent heating technologies <strong>and</strong> heat transfer surfacesizes of these technologies <strong>on</strong> the annual overalloperati<strong>on</strong>al costs. This is especially true if the heatingsystem is integrated with other energy systems. It isalso true if the temperature level of the heat isimportant for another reas<strong>on</strong>. The methodology can beused to make informed choices regarding technologiesto be used for heating homes or buildings <strong>and</strong>regarding the size of these technologies.To c<strong>on</strong>tinue this development work, it is recommendedthat more practical c<strong>on</strong>siderati<strong>on</strong>s will be incorporatedinto the models <strong>and</strong> analyses. Increasing temperaturesdo not just cost more in terms of exergy but also inmore expensive materials, <strong>and</strong> steam based districtheating systems are c<strong>on</strong>siderably more expensive thanhot water based systems. Heat losses from the pipelinewere small but may need to be c<strong>on</strong>sidered in a followupstudy. Including passive heating of houses by solarradiati<strong>on</strong>, plug loads <strong>and</strong> occupancy gains will alsoimprove model predicti<strong>on</strong>s. Also mixed systemscombining heating technologies <strong>and</strong> possibly includingother technologies such as under-floor heating providefurther opportunities to optimize system cost.In additi<strong>on</strong>, the applicati<strong>on</strong> of the methodologydeveloped in this study should be applied to a heatpump, where the variati<strong>on</strong>s in COP with supplytemperature would be included. This would result in theability to match the heating equipment to the heatpump, resulting in an optimum operati<strong>on</strong>.ACKNOWLEDGEMENTDuring this work the authors have had very fruitfulc<strong>on</strong>versati<strong>on</strong>s with many colleagues: Mikhail Sorin,Evgueniy Entchev, Libing Yang, Ibrahim Dincer, HajoRibberink <strong>and</strong> Kirby Wittich. These discussi<strong>on</strong>s helpedfocus the work <strong>and</strong> stimulated further thinking in thisinteresting area of science. This is to thank all thosewho spent their valuable time listening <strong>and</strong> providingvaluable comments.REFERENCES[1] G. Wall, ―Exergy <strong>and</strong> Morals‖, in Sec<strong>on</strong>d lawanalysis of energy systems: towards the 21stcentury, E. Sciubba, M.J. Moran Eds, Circus,Roma (1995), ISBN 88-86662-0-9, pp. 21-29.[2] D. Schmidt, ―Design of Low Exergy Buildings –Method <strong>and</strong> a Pre-Design Tool‖, in <str<strong>on</strong>g>Internati<strong>on</strong>al</str<strong>on</strong>g>Journal of Low Exergy <strong>and</strong> Sustainable Buildings,Vol. 3 (2003), pp. 120-126.[3] A. Valero, L. Serra & J. Uche, ―Fundamentals ofExergy Cost Accounting <strong>and</strong> Thermoec<strong>on</strong>omics.Part I: Theory‖, in Journal of Energy ResourcesTechnology, Vol. 128 (2006), pp. 1-8.[4] G. Tsatsar<strong>on</strong>is, ―Applicati<strong>on</strong> of Thermoec<strong>on</strong>omicsto the Design <strong>and</strong> Synthesis of Energy Plants‖, inExergy, Energy System Analysis, <strong>and</strong>Optimizati<strong>on</strong>, [ed. Christos A. Fr<strong>on</strong>gopoulos], inEncyclopedia of Life Support Systems (EOLSS),developed under auspices of the Unesco, EolssPublishers, Oxford, UK (2007).[5] G. Temir, D. Bilge, ―Thermoec<strong>on</strong>omic analysis of atrigenerati<strong>on</strong> system‖ in Applied ThermalEngineering, Vol. 24 (2004), pp. 2689-2699.[6] Clean Energy Project Analysis – RETScreenEngineering & Cases Textbook, 3 rd editi<strong>on</strong>,RETScreen <str<strong>on</strong>g>Internati<strong>on</strong>al</str<strong>on</strong>g>, Natural ResourcesCanada, Varennes (2005).52

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