Biogasphotovoltaic hybrid power system for decentralized energy supply of rural areas.docx
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Biogasphotovoltaichybridpowersystemfordecentralizedenergysupplyofruralareas
Theperformancemetricsincludethesolarfraction,coefficientofperformance,solarthermalgain,primaryenergyconsumptionandindoorconditions.Comparativestudywasconductedforthehybridair-conditioningsystemworkedwiththethreecommontypesofchilledceilings,namelythechilledpanels,passivechilledbeamsandactivechilledbeams.Thesolarhybridair-conditioningsystemwasalsobenchmarkedwiththeconventionalvapourcompressionrefrigerationforofficeuse.Itisfoundthattheproposedsolarhybridair-conditioningsystemistechnicallyfeasiblethroughhightemperaturecooling.Amongthethreetypesofchilledceilings,thepassivechilledbeamsisthemostenergy-efficientoptiontoworkwiththesolaradsorptionrefrigerationforspaceconditioninginthesubtropicalcity.
ArticleOutline
Nomenclature
1.Introduction
2.Designofsolarhybridair-conditioningsystemforhightemperaturecooling
2.1.Configurationofsolarhybridair-conditioningsystem
2.2.Typesofchilledceilings
2.3.Systemdesignofsolarhybridair-conditioningsystem
2.3.1.Sub-systemsandcomponents
2.3.2.Buildinginformationandspacecoolingload
2.3.3.Designconsiderationsofvariouscomponents
3.Developmentofdynamicsimulationmodels
3.1.Modelingdetails
3.1.1.Adsorptionchiller
3.1.2.Desiccantwheel
3.1.3.Chilledceilings
3.1.4.Solarenergycollection
3.2.Systemcontrolandoperation
3.2.1.Solarenergycollection
3.2.2.Adsorptionrefrigerationandinterrelationshipwithradiantceilingcooling
3.2.3.Desiccantdehumidificationforvariouschilledceilings
3.2.4.Radiantceilingcoolingandinterrelationshipwithadsorptionchiller
4.Performanceevaluation
5.Resultsanddiscussions
5.1.Year-roundperformances
5.2.Monthlyperformances
5.2.1.Solarfraction
5.2.2.Coefficientofperformance
5.2.3.Solarthermalgain
5.2.4.Primaryenergyconsumption
5.3.Analysisofprimaryenergyconsumptionforvariouschilledceilings
6.Conclusion
Acknowledgements
References
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370
MaximizationofwindenergypenetrationwiththeuseofH2production—Anexergyapproach ReviewArticle
RenewableandSustainableEnergyReviews,Volume15,Issue1,January2011,Pages648-656
C.Koroneos,E.Katopodi
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Abstract
TheutilizationofwindenergyhasbeentheoutmostenergyobjectiveofmanycountriesintheEUinthepasttwodecades.Thelowvalueofitsreliabilityfactorconstitutesthebiggestdrawbackforitsuse.Theinstabilityofwindspeedsmayleadtoover-productionofelectricityfromwindpowergeneratorsatonetime,andlackofproductiontosatisfydemandatothers.Anenergycarriersuchashydrogenwouldplayasignificantroleinincreasingthereliabilityofwindpowergenerationsystems.
Therearetwoobjectivesofthiswork;thefirstoneistoinvestigatethepossibilitythathydrogencouldbetechnicallyandeconomicallyproducedbywindenergy,accordingtoup-to-nowscientificresearch,inordertoincreasethewindenergypenetrationpercentageinweakelectricsystems.Aconcisedescriptionofproblemsthatresultfromwindintegrationinthesystemsofhighwindpenetrationisenterprised,alsoreferringtotheexistingsolutionsuggestions,oneofwhichistheproductionofhydrogen.Theroleofhydrogeninhighwindpenetrationsystemsisdescribedaswell,andfinally,apreliminarytechno-economicalcasestudyofanelectrolysisunitinstallationinanexistingwindparkinCreteislandisalsopresented.
Thesecondobjectiveistoexamineandanalysethermodynamically,theefficiencyalongthehydrogenandelectricityproductioncycle,startingfromthekineticenergyofthewind.Thechangeofexergyduetolossesatdifferentpointsisbeingmappedandmathematicallycalculated.Itisshownthatthereisatwofoldchangeinexergeticefficiencyalongbothpaths.Thesamecasestudyofthewindfarmistakenasasystemforexamination.
AllthedatausedinthisworkcomefromGreece,specificallytheislandofCrete.
ArticleOutline
1.Introduction
2.Windparksoperationinelectricgrids
3.Hydrogenproductionbywindenergy
4.TheelectricitysystemofCrete,Greece
4.1.H2productionthroughelectrolysis[7],[8]and[9]
4.2.Electrolysisfacilityfeasibilitystudy
5.Exergyanalysis[10],[11]and[12]
5.1.Exergyanalysisofthecasestudy
6.Conclusions
References
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371
Probabilitydistributionsforoffshorewindspeeds OriginalResearchArticle
EnergyConversionandManagement,Volume52,Issue1,January2011,Pages15-26
EugeneC.Morgan,MatthewLackner,RichardM.Vogel,LaurieG.Baise
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Abstract
Inplanningoffshorewindfarms,short-termwindspeedsplayacentralroleinestimatingvariousengineeringparameters,suchaspoweroutput,extremewindload,andfatigueload.Lackingwindspeedtimeseriesofsufficientlength,theprobabilitydistributionofwindspeedservesastheprimarysubstitutefordatawhenestimatingdesignparameters.Itiscommonpracticetomodelshort-termwindspeedswiththeWeibulldistribution.Using10-minwindspeedtimeseriesat178oceanbuoystationsrangingfrom1monthto20yearsinduration,weshowthatthewidely-acceptedWeibulldistributionprovidesapoorfittothedistributionofwindspeedswhencomparedwithmorecomplicatedmodels.Wecomparedistributionsintermsofthreedifferentmetrics:
probabilityplotR2,estimatesofaverageturbinepoweroutput,andestimatesofextremewindspeed.WhiletheWeibullmodelgenerallygiveslargerR2thananyother2-parameterdistribution,thebimodalWeibull,Kappa,andWakebymodelsallshowR2valuessignificantlycloserto1thantheotherdistributionsconsidered(includingtheWeibull),withthebimodalWeibullgivingthebestfits.TheKappaandWakebydistributionsfittheuppertail(higherwindspeeds)ofasamplebetterthanthebimodalWeibull,butmaydrasticallyover-estimatethefrequencyoflowerwindspeeds.Becausetheaverageturbinepoweriscontrolledbyhighwindspeeds,theKappaandWakebyestimateaverageturbinepoweroutputverywell,withtheKappagivingtheleastbiasandmeansquareerroroutofallthedistributions.The2-parameterLognormaldistributionperformsbestforestimatingextremewindspeeds,butstillgivesestimateswithsignificanterror.Thefactthatdifferentdistributionsexcelunderdifferentapplicationsmotivatesfurtherresearchonmodelselectionbasedupontheengineeringparameterofinterest.
ArticleOutline
1.Introduction
2.Data
3.Windspeeddistributions
3.1.Rayleigh
3.2.Weibull
3.3.GeneralizedRayleigh
3.4.3-parameterWeibull
3.5.Lognormal
3.6.3-parameterLognormal
3.7.GeneralizedNormal
3.8.Gamma
3.9.PearsontypeIII
3.10.LogPearsontypeIII
3.11.GeneralizedGamma
3.12.Kappa
3.13.Wakeby
3.14.BimodalWeibullmixture
4.Resultsanddiscussion
4.1.Theprobabilitydistributionofoffshorewindspeeds
4.2.BIWmixingparameter
4.3.Modelperformanceintermsofaveragepoweroutput
4.4.Modelperformanceintermsofextremewindspeeds
5.Conclusion
Acknowledgements
References
372
AnalysisontheenvironmentaleffectofrenewableenergyconsumptionbyruralresidentsindailylifeinChina-fromtheperspectivesofcarbonemissions OriginalResearchArticle
EnergyProcedia,Volume5,2011,Pages1642-1646
ChenYan,ZhuYanli
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Abstract
Energyconsumptionofruralresidentsinvolvesmanyaspectssuchasenergysecurity,environmentaleffect,thenewruralconstructionandsoon.Basedontheanalysisofthepresentsituationofrenewableenergyconsumptionbyruralresidentsindailylife,thispaperestimatesthecarbonemissionsofrenewableenergyconsumptionbyruralresidentsindailylifefrom1998-2007,andevaluatestheenvironmentaleffectoftherenewableenergyconsumptionindailylifeinruralareas.Theconclusionshows:
inthecourseofenergyconsumptionbyruralresidentsindailylife,themainbodyofcarbonemissionsiscausedbythetraditionalusageofstraws,firewoodandtheotherbiomassenergyinChina,andgivesrelevantpolicysuggestionaccordingly.
ArticleOutline
Uncitedreferences
References
373
Simulationmodelofamoltencarbonatefuelcell–microturbinehybridsystem OriginalResearchArticle
AppliedThermalEngineering,Volume31,Issues6-7,May2011,Pages1263-1271
LuigiLeto,CelidonioDispenza,AngeloMoreno,AntonioCalabrò
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Abstract
AHybridSystembasedonHighTemperatureFuelCellscoupledtoaMicroturbineallowsahighefficiency,lowenvironmentalpollutionanditmaybeexploitedasaCHPSystemproducingheatandelectricitybothGridConnectedandStandAlone;theoverallelectricalefficiencycouldreachaveryhighvalue(upto60%)andtotalefficiencycouldbeover70%includingthecontributionduetoheatrecovery.
InthecontextofwideresearchactivitiesofENEAonHighTemperatureFuelCellsandHybridSystems–thatinvolvematerials,systemBoPandfuels–averygreatefforthasbeendevotedtodesignandbuild,