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>iac<strong>on</strong>ducted in the previous secti<strong>on</strong>s are defined based<strong>on</strong> targeted indicators.of produced biogas. The main barriers for improvedbiogas injecti<strong>on</strong> are the high costs of improvement <strong>and</strong>grid c<strong>on</strong>necti<strong>on</strong>. Grid injecti<strong>on</strong> is limited by locati<strong>on</strong> ofbiogas producti<strong>on</strong> <strong>and</strong> improvement sites, which haveto be close to natural gas grid [12].Problems are c<strong>on</strong>nected with biogas utilizati<strong>on</strong> incogenerati<strong>on</strong> plants (CHP) since there are nopossibilities to find heat energy c<strong>on</strong>sumers, which inturn resulted with low efficiency l<strong>and</strong>fill power plantsalmost all over Latvia.Due to high electricity feed-in tariff there is anec<strong>on</strong>omical motivati<strong>on</strong> for power plant operati<strong>on</strong> withlow efficiency. For electricity produced in renewableenergy power plants with nominal capacity of up to4MW high feed in tariff has been transposed in Latvia‘slegislative acts.Fig. 5. Linkages between indicators <strong>and</strong> relevant policyacti<strong>on</strong>s based <strong>on</strong> the targeted indicators [8]Multi-objective optimizati<strong>on</strong> (MOO), also known asmulti-criteria optimizati<strong>on</strong>, particularly outsideengineering, refers to finding values of decisi<strong>on</strong>variables which corresp<strong>on</strong>d to <strong>and</strong> provide the optimumof more than <strong>on</strong>e objective. Unlike in single objectiveoptimizati<strong>on</strong> (SOO), which gives a unique soluti<strong>on</strong>,there will be many optimal soluti<strong>on</strong>s for a multiobjectiveproblem. Multi-objective optimizati<strong>on</strong> involvesspecial methods for c<strong>on</strong>sidering more than <strong>on</strong>eobjective <strong>and</strong> analyzing the results obtained [7].Often, the various objective functi<strong>on</strong>s c<strong>on</strong>flict with eachother (i.e., optimizing <strong>on</strong>e of them usually tends tomove another towards undesirable values), for solvingsuch models <strong>on</strong>e needs to know how many units of <strong>on</strong>efuncti<strong>on</strong> can be sacrificed to gain <strong>on</strong>e unit of another,but this trade-off informati<strong>on</strong> is not available. In otherwords, <strong>on</strong>e is forced to determine the best compromisethat can be achieved.In the following paragraph an example of MOO appliedto the evaluati<strong>on</strong> of possibilities to utilize l<strong>and</strong>fill biogasfor electricity producti<strong>on</strong> in <strong>on</strong>e of Latvia‘s l<strong>and</strong>fills.4. TESTING OF LANDFILL GAS PRODUCTIONThe improved biogas is <strong>on</strong>e of the cleanest fuels with alittle impact <strong>on</strong> the envir<strong>on</strong>ment <strong>and</strong> human health [11].One of the advantages of biogas injecti<strong>on</strong> into naturalgas grid is the fact that natural gas grid c<strong>on</strong>nects aplace of biogas producti<strong>on</strong> (usually in rural areas) withdensely populated areas. It allows new c<strong>on</strong>sumers touse gas. In this way it is possible to increase the biogasproducti<strong>on</strong> in remote areas not being worried about useThe development of Latvia‘s l<strong>and</strong>fill sites is at thecrossroads. On <strong>on</strong>e h<strong>and</strong> it is ec<strong>on</strong>omically feasible tooperate CHP just for electricity producti<strong>on</strong>, but <strong>on</strong> theother – it is important to use natural resources <strong>on</strong> fullvalue by producing from biogas the maximum amountof heat energy. In first case it means that there is n<strong>on</strong>eed for waste sorting in l<strong>and</strong>fills, but in the other it isimportant to sort both – before waste collecti<strong>on</strong> <strong>and</strong> inl<strong>and</strong>fills.Utilizati<strong>on</strong> of l<strong>and</strong>fill biogas in Latvia is based <strong>on</strong> energyproducti<strong>on</strong> in power stati<strong>on</strong> placed close to l<strong>and</strong>fill fordifferent reas<strong>on</strong>s. One of the most important reas<strong>on</strong>s isfinancial state support of small scale power stati<strong>on</strong>s (4MWe) from renewable energy resources. Such kind ofsupport prevents both, development of waste sorting<strong>and</strong> utilizati<strong>on</strong> of refuse derived fuel in cementproducti<strong>on</strong>, <strong>and</strong> biogas improvement to cover needstransportati<strong>on</strong> sector or to c<strong>on</strong>nect to natural gas grid.In the following is shortly reported the methodologyregarding the optimizati<strong>on</strong> model of biogas use inl<strong>and</strong>fills in Latvia in c<strong>on</strong>necti<strong>on</strong> to the data collectedfrom l<strong>and</strong>fill ―Daibe‖. After the analysis <strong>on</strong>ly two of theindependent parameters have been chosen: quality ofbiogas (characterized by heat value), <strong>and</strong> technologicalequipment (characterized by electrical capacity).This optimizati<strong>on</strong> model for biogas utilizati<strong>on</strong> in l<strong>and</strong>fillsincludes four modules <strong>and</strong> is based <strong>on</strong> technological,climate <strong>and</strong> ec<strong>on</strong>omical sub models.Results of ec<strong>on</strong>omical optimizati<strong>on</strong> show that in case oflow biogas quality (4 kWh/m 3 ) the optimal installedcapacity is 2.2MW. In case of biogas quality of 5kWh/m 3 , optimal installed capacity is 2.8MW, <strong>and</strong>3.4 MW – in case of high biogas quality (6 kWh/m3).181
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>ia5. COMMENT AND DISCUSSIONThe use of CHP instead of c<strong>on</strong>venti<strong>on</strong>al plant willalways improve energy efficiency <strong>and</strong> will reduce CO 2emissi<strong>on</strong>s significantly, in Latvia there is potential toreplace some of the heat plants with co-generati<strong>on</strong>units (comparing with Denmark where approximately80% of the district heating in Denmark is supplied fromCHP [6].Fig. 6. Diagram of the ec<strong>on</strong>omical optimizati<strong>on</strong>[12]Results of technological optimizati<strong>on</strong> show that, thehigher the installed capacity, the shorter the operati<strong>on</strong>time of equipment. If assumed that operati<strong>on</strong> time ofthe equipment could be 5 up to 10 years, then theinstalled capacity can be 0,5MW <strong>and</strong> higher.Hence promoti<strong>on</strong> of high-efficiency cogenerati<strong>on</strong> (CHP)based <strong>on</strong> a useful heat dem<strong>and</strong> is a priority with regardto saving primary energy, avoiding network losses <strong>and</strong>reducing emissi<strong>on</strong>s, in particular of greenhouse gases[2].Of course the choice of the fuel is fundamental in orderto reach the target required from the last EU directive interms Renewable Energy Sources (RES).More use of energy from biomass in terms of woodfuel,biogas, l<strong>and</strong>filled gas <strong>and</strong> biofuels seems to be a gooddirecti<strong>on</strong> in order to displace the part of energy sourcesgiven by the imported natural gas.Fig. 7. Equipment operati<strong>on</strong> time vs installed capacity [12]Results of the climate sub model show that the higheris installed capacity, the greater the reducti<strong>on</strong> ofgreenhouse gas emissi<strong>on</strong>s. Besides that, it is notpossible to reach extremis by using two objectivefuncti<strong>on</strong>s (heat value of biogas <strong>and</strong> installed capacity),which have been used in case of ec<strong>on</strong>omical <strong>and</strong>technological sub models, <strong>and</strong> it is necessary tointroduce another objective functi<strong>on</strong>s.The use of wood in the energy sector (through theproducti<strong>on</strong> of heating <strong>and</strong> electricity) must become not<strong>on</strong>ly an objective for the development of the energysupply system, but it must also become part ofstrategies for ec<strong>on</strong>omic development <strong>and</strong> for theimprovement of the import/export balance of thecountry. These measures can succeed in not <strong>on</strong>lydeveloping local producti<strong>on</strong> <strong>and</strong> job creati<strong>on</strong>, but if canalso stimulate <strong>and</strong> increase the potential export.It is particularly important to c<strong>on</strong>duct engineer-technical<strong>and</strong> ec<strong>on</strong>omic analysis of the various technologicalsoluti<strong>on</strong>s possible to implement wood use in thecogenerati<strong>on</strong> plants of the larger cities (including RigaTEC 1 <strong>and</strong> TEC 2) [13]. Any possible choice <strong>and</strong>/orscenario cannot be complete if it not references to aLife cycle assessment (LCA) that it a good tool in orderto underst<strong>and</strong> the envir<strong>on</strong>mental load of a certainprocess strategy <strong>and</strong> in order to give a comparablecomm<strong>on</strong> base.Based <strong>on</strong> the targeted indicators for Latvia the beststrategy can be identify in:Fig. 8. Diagram of the envir<strong>on</strong>mental optimizati<strong>on</strong> [12]Model of power producti<strong>on</strong> in l<strong>and</strong>fill shows that feed-intariff stated as financial support today in Latvia allowsto reach ec<strong>on</strong>omically feasible projects even in case ifcogenerati<strong>on</strong> unit is operated in power stati<strong>on</strong> regime(generates <strong>on</strong>ly electricity). Results show that statepolicy needs correcti<strong>on</strong>s to improve energy efficiency ofbiogas utilizati<strong>on</strong> for energy producti<strong>on</strong>.182– Enhance the diversity <strong>and</strong> variety of the energymix.– Improve maintenance of existing energyinfrastructure.– Eliminate c<strong>on</strong>straints <strong>and</strong> investment in newfacilities.– Increase the efficiency of energy supply inelectricity generati<strong>on</strong>.– Increase the share of electricity produced bycombined heat <strong>and</strong> power (CHP) plants.– Increase the share of renewable <strong>and</strong> domesticenergy sources in the energy mix.
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In addition, it can also be observe
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