EU Framework Program for Research and Innovation actions ...

ThisprojecthasreceivedfundingfromtheEuropeanUnion’sHorizon2020researchandinnovationprogrammeundergrantagreementNo691287

EUFrameworkProgramforResearchandInnovationactions(H2020LCE-21-2015)

ProjectNr:691287

GuidingEuropeanPolicytowardalow-carboneconomy.ModellingsustainableEnergysystem

DevelopmentunderEnvironmentalAndSocioeconomicconstraints

Deliverable2.3

Version3.0.0

Duedateofdeliverable: 31/08/2017 Actualsubmissiondate: 30/08/2017

Pg.MarítimdelaBarceloneta,[email protected]+34932309500F+34932309555


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DisclaimerofwarrantiesandlimitationofliabilitiesThisdocumenthasbeenpreparedbyMEDEASprojectpartnersasanaccountofworkcarriedoutwithintheframeworkoftheEC-GAcontractno691287.

NeitherProjectCoordinator,noranysignatorypartyofMEDEASProjectConsortiumAgreement,noranypersonactingonbehalfofanyofthem:

(a) makesanywarrantyorrepresentationwhatsoever,expressorimplied,

(i). withrespecttotheuseofanyinformation,apparatus,method,process,orsimilar

item disclosed in this document, including merchantability and fitness for a

particularpurpose,or

(ii). that such use does not infringe on or interfere with privately owned rights,

includinganyparty'sintellectualproperty,or

(iii). thatthisdocumentissuitabletoanyparticularuser'scircumstance;or

(b) assumes responsibility for any damages or other liability whatsoever (including any

consequential damages, even if Project Coordinator or any representativeof a signatory

partyoftheMEDEASProjectConsortiumAgreement,hasbeenadvisedofthepossibilityof

suchdamages)resultingfromyourselectionoruseofthisdocumentorany information,

apparatus,method,process,orsimilaritemdisclosedinthisdocument.



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DocumentinfosheetLeadBeneficiary:UVa

WP:Workpackage2:DataCollection

Task:Database

Authors:

UVA:JaimeNieto,PaulaRodrigo,FernandoFrechoso,CarlosdeCastro,IñigoCapellán-Pérez,OscarCarpintero,IgnaciodeBlas,MargaritaMediavilla,SantiagoCáceres,LuisJavierMiguel

CRES:Myrto Theofilidi, John Andriopoulos, Charis Gkevrekis, George Koras, Panos Stratis, JohnVlachos

Disseminationlevel:Public



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TableofcontentsDISCLAIMEROFWARRANTIESANDLIMITATIONOFLIABILITIES..................................................1

DOCUMENTINFOSHEET.............................................................................................................2

TABLEOFCONTENTS...................................................................................................................3

SCOPEOFTHEDOCUMENT..........................................................................................................5

LISTOFABBREVIATIONSANDACRONYMS..................................................................................6

EXECUTIVESUMMARY................................................................................................................7

1.INTRODUCTION.......................................................................................................................9

2.METADAANDDATACOLLECTION..........................................................................................112.1REGION....................................................................................................................................................................................122.2PAV.........................................................................................................................................................................................122.3ID..............................................................................................................................................................................................172.4TOPIC.......................................................................................................................................................................................192.5TYPEOFVARIABLE...............................................................................................................................................................252.6UNITS......................................................................................................................................................................................252.6SOURCES,LINKANDLICENSE.............................................................................................................................................282.7LASTSOURCEUPDATE,DATECOLLECTIONANDDATAPERIOD....................................................................................302.8RELIABILITYINDEX...............................................................................................................................................................312.9COMMENTSANDTYPEOFVALUE.......................................................................................................................................31

3.WEBDATABASEMANAGEMENTSYSTEM(CRES)....................................................................333.1WORKPLAN.............................................................................................................................................................................333.2DATABASEAPPLICATIONDESCRIPTION...................................................................................................................................343.2.1Tablesdescription...............................................................................................................................................................353.3MIDDLELAYERDESCRIPTION..................................................................................................................................................383.3.4PublicFunctionality............................................................................................................................................................383.3.5AdministratorFunctionality...........................................................................................................................................393.4FRONTENDDESCRIPTION........................................................................................................................................................403.4.1IndexPage.............................................................................................................................................................................403.4.2PublicSection......................................................................................................................................................................413.4.3AdministratorSection.....................................................................................................................................................443.4.5DataUpdateProcedure..................................................................................................................................................493.4.6SuperUserRole...................................................................................................................................................................493.5TECHNICALDESCRIPTION........................................................................................................................................................503.5.1Statisticsofsourcecodefiles........................................................................................................................................52



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ANNEXI.WORLDMEDEASMETADATA.....................................................................................54

ANNEXII.EUROPEMEDEASMETADATA..................................................................................109

ANNEXIII.AUSTRIAMEDEASMETADATA................................................................................115

ANNEXIV.BULGARIAMEDEASMETADATA.............................................................................122

ANNEXV.DATABASESCHEMADEFINITION.............................................................................129

ANNEXVI.SOURCECODEFILESTATISTICS...............................................................................135

REFERENCES............................................................................................................................136



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ThisdocumentisDeliverable2.3ofWorkPackage2(Datacollection)inMEDEASproject.MEDEASwill develop fourmodels:World, Europe, Austria and Bulgaria, thus input data is necessary toproperlyrunthefourmodels.Suchcollecteddata,asmodelinput,mustbeaccessibletotheuserin order to use or modify them. In this document, MEDEAS database is described, regardingdifferent features. First, the design and structure of the database is described, both for thedatabase itselfand its correspondingmetadata.Secondly,datacollectionandcharacteristics foreachtopicinthedatabaseareexplained.Finally,wedescribethestructureandfunctionalitiesforusersandmanagersoftheMEDEASDatabaseManagementSystem(DBMS).

Scopeofthedocument



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ListofabbreviationsandacronymsBEV–BatteryElectricVehicle

CHP–CombinedHeatandPower

CSP–ConcentratedSolarPower

CTL–CoalToLiquids

DBMS-DatabasemanagementSystem

DCMI-DublinCoreMetadataInitiative

EROI–EnergyReturnOfInvestment

GDP–GrossDomesticProduct

GHG–GreenHouseGases

GTL–GasToLiquids

GVA–GrossValueAdded

HEV–HybridElectricVehicle

IEA–InternationalEnergyAgency

IOA–Input-OutputAnalysis

IOT–Input-OutputTables

LDV–LightDutyVehicles

NGV–NaturalGasVehicle

NR–NaturalResources

PAV–Partiallyaggregatedvariable

RES–RenewableEnergySources

TPES–TotalPrimaryEnergySupply

WIOD-WorldInput-OutputDatabase



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ExecutivesummaryMEDEASdatabaseisakeyandstrategicpartoftheproject,notonlyforthemodelimplementationanddesignbut also for theoverall project. Tohaveenoughdata in a flexibledatabase is a keystone foundation also for evidence-based impact of Renewable Energy Sources (RES) transitionevaluation and to construct a solid narrative for policy implementation in the RES transition inEurope, which is one of the main outcomes of MEDEAS. The database elaboration and theirarchitecturemustbereliable,transparentandpublicallowingacontinuousupdateofallthedataconstitutingtheeconomicandenergeticframework.Suchdatabaseshouldalsobemanageableinterms of shared competences between the Regional and local level. Therefore, this deliverabledescribestheMEDEASdatabaseanditsDatabaseManagementSystem(DBMS).MEDEASdatabaseconsists of data collected from different sources and information associated with this data asmetadata.TheDBMSistheapplicationconstructedtomanage,viewanduseMEDEASdatabase.

Mostofthedataareannualtimeseriesthatcorrespondtothedifferentmodelmodulessuchassocioeconomic,environmental,energy,transportormaterialresourcesdatausedbytheMEDEASmodel.Themain‘brick’onwhichthestructureofthedatabaseisbasedisthePartiallyAggregatedVariable (PAV) and are organised by topics and disaggregated in a number of variables underdifferentdisaggregationlevels.PAVs,disaggregationlevelsandvariablesgeneratethetotalentriesinthedatabases.Thereare158PAVs,161disaggregationlevelsand3188variables.NotallPAVsaredisaggregatedinthesameway(actuallysomeofthemarenotatall)butthiscausesthetotalnumberofentriestoincreaseupto3507variablesinMEDEASWorlddatabasestartingfromonly158PAVs.Europe,AustriaandBulgariadatabasesaccountswith5755additionalentries.Overall,MEDEASdatabasehas9262entries.Annex I-IVsummarises information, sourcesandcommentsonPAVs.

Thewebdatabasemanagementsystem(DBMS)allowspartnerstostore,retrieveandmanagethedatacollected,elaboratedandgeneratedwithinMEDEASproject.TheDBMShasbeendesigned,implementedandinstalledbyCRES.

Thedesignanddevelopmentofthewholeapplicationconsistsofthreecomponents,namelythefirst layer, which is the database, the middle layer, which refers to the functionality of themanagementsystemandthefrontend,whichistheuserinterface.



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Thedesignanddevelopmentofthedatabasewasbasedonthe“entity-attribute–value”model.Within this context, the entity is one among "World", "EU", “Austria” or “Bulgaria” and theattributeisthespecificentry.Inthismodel,theentriesareorganizedinatree,whereasprovisionsaremade,sothatthehistoryofchangesforeachentryisstoredandreadilyavailable.Moreover,foreachentrytherelevantmetadataarestored.

TheDBMSselectedtodevelopthisapplicationwasMariaDB,aforkoftheMySQLthatintendstomaintain high compatibility with MySQL and remain free under the GNU GPL. In terms offunctionality,aJ2EElibrary(.jarfiles)hasbeendesignedanddevelopedtoprovidetheexpectedfunctionalities, i.e., storageof thevalueofaspecificentry; retrievalofvalueofaspecificentry;creationofanewentry,andretrievalofdataneededforreportgeneration,forthispurposeaJavaAPI has been designed and implemented that, given one ormore entries and somemetadata,retrievestherelevantdata.

Finally,wedesignedanddevelopedawebapplicationthatexposesthelayer2,functionalitytothewebuser,makingMEDEASdatabaseaccessiblethroughanauthenticationsystemwithpassword.Emphasishasbeengiveninthesimplicityandrobustnessoftheapplication.



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1.IntroductionTheglobalaimofMEDEASprojectistoprovidepolicymakersandstakeholderswithanewtool,tobetter assess the impacts and limitations of the EU energy production/consumption systemtransitiontoalow-carbonsustainablesocio-economy.Forthispurpose,MEDEAS(World,Europe,Austria and Bulgaria) is a simulation model based on system dynamics that allows assessingcomplexityanddynamic interrelationof relevantvariables.Thesemodels (one foreachregionallevel) need to be fed bymultidimensional data, regarding the differentmodules in themodel.Althoughithasbeentakenintoconsiderationothermodels’needs,thereferencelistofmodulesused for collecting data is that ofMEDEASWorld. Thesemodules are the following: i/ Energyinfrastructures, ii/ Economy and Population, iii/ Materials, iv/ Climate model, v/ Land use, vi/Socialandenvironmentalimpactsindicators,vii/Energy(NRandRESavailability).ThesemodulesandtheirfundamentalintertwinesareshowninFigure1.

Figure1.OverviewofMEDEASmodelmodulesandtheirfundamentalintertwines.

MEDEASdatabasehastwoobjectives.ThefirstistofeedthemodelsofMEDEAS.Thesecondistoprovide the user an easy, transparent tool in order to check our models and modify them.Accomplishing these objectives require not only a user-friendly DBMS, but a clear design andproper informationof thedataused. Thus, additionally to data collection,metadatahavebeen



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collected foreachentry.Annex I-IVsummarizesmetadata forall regional levels (World,Europe,AustriaandBulgaria)andentries.PartiallyAggregatedVariables(PAVs),disaggregationlevelsandvariablesgeneratethetotalentriesinthedatabasedelivered.ThesePAVsareorganisedbytopicsanddisaggregatedinanumberofvariablesunderdifferentdisaggregationlevels.

A large database collecting information about the historical trends or values of the PAVs,disaggregation levelsandvariablesused in themodel isnecessary.Moreover, theevaluationofthe results requires the assumption of values for these entries, which can change amongscenarios. Thus, a key task inMEDEAS is collecting andorganizing this data. In addition, as theproject intends to be open to changes by the public, this information must be transparent,accessibleandeasytomodify.Thus,theconstructionofMEDEASdatabaseisthemainobjectiveofthisdeliverable

The construction of the database has been split in two main sub-tasks: Data collection andDatabase Management System (DBMS). In order to coordinate the work, UVa designed andcollectedthedatafortheDatabase inspreadsheetsfiles,then,thisworkwasdeliveredtoCRES,whichusedittoconstructtheDBMS.ThisDeliverabledescribestheprocessfollowedtoconstructthe database, it is structured in two sections, one for each sub-task. Section 2 describes theprocess of database design and data collection. Section 3 describes the structure andfunctionalitiesoftheDBMS.



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2.MetadaandDatacollectionData collection encompasses three different steps. In the first step, data collected is explainedaccording to topics. In a second step, the metadata of the database is provided, it givesinformation about the data and its sources. Finally, the data in the original source may havedifferentunitsthanthoseused inthemodels,sosometimesachangeofunits isnecessary.ThissectionexplainstheorganizationofMEDEASdatabaseandthedetailsofdatacollection,includingitsmetadata.World,Europe,AustriaandBulgariametadatainformationcanbeseeninAnnexI-IV

DatahavebeencollectedinspreadsheetsparticularlydesignedwiththeobjectivetofacilitatethetransfertotheDBMSandmakeiteasytobemanagedbyusers.Inaddition,metadatahavealsobeen specificallydesigned toprovide theuser importantanduseful informationabout thedatausedbyMEDEAS.Table1showsmetadatacategories.

Table1.CategoriesinmetadatafromMEDEASdatabase

Category Information

Region Regionallevel

PAV NameofPAV.

Id Codeofidentification.

Topic Thedifferenttopicsofdatabase.

Typeofvariable Exogenousorendogenous

Units Unitsofeachentry.

Source Thesourceofdata.

Link Linktotheweb’sdatasource.

License Publicdomain/Privatedomain.

Lastsourceupdate Thedatewhentheoriginaldatasourceupdateditsdataforthelasttime.

Datecollection Thedatewhendatawascollectedfromthesources.

Dataperiod Timeperiodforwhichdatawascollectedorcalculatedandtowhichthedatarefer

Reliability Reliabilityindexaccordingtodifferentcriteria.

Comments Clarificationsanddescriptionnecessarytoproperlyunderstandtheentries.

Typeofvalue Historicaldataseries,parameter,constant,scenarioparameter.

Next,wewill describeall the categories inmetadata. In thiswaywe showwhichdata is in thedatabase,howisrelatedwiththeMEDEASmodelsandhowiscollected.



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2.1RegionMEDEASdatabaseisstructuredin3differentregionallevels:World,EuropeandCountry(AustriaandBulgaria).AlthoughmodelsforEurope,AustriaandBulgariahavenotbeendevelopedyet,itsfutureneedshavebeentakenintoconsideration.

ThisDeliverablemainlydescribestheWorldMEDEASdatabase;thedataforotherregionallevels(Europe,AustriaandBulgaria)hasthesamecharacteristicsthantheWorldlevel,butalsoincludesdata on trade with other regions. For the World regional level there are no commercialrelationshipsbecauseitisaclosedsystemfromthepointofviewoftrade.

Europe, Austria and Bulgaria databases accounts with 5755 additional entries to the Worlddatabase.Thus,MEDEASdatabases(atthreegeographicallevels)haveintotal9262entries.

AsoneoftheMEDEASdatabase’sobjectives isfeedingthemodels,Europe,AustriaandBulgarialevel will probably be extended in the future throughout the DBMS. Currently such threegeographical domains only have topics: Socioeconomic, Resources-Economy, Land Use, Energyconsumptionbysectors,CommerceandEnergy(energytrade).Thereare1911entriesforEurope,and1922forAustriaandBulgaria,withthesamestructure(formetadatafields)asinWorldlevel.

2.2PAVOriginallytheWorldMEDEASdatabasesentinDecember2016contained2590entries.Inthisfinalversion, 782 of these entries have been eliminated. Some because they are outputs that themodelobtainsandothersarenotusedinthemodel.Ofthe1808remainingentries,thedataoritsmetadata have beenmodified in a large number of them.As a result, the newWorldMEDEASdatabasehas3188variables,plus158PAVsand161disaggregationlevels.Thus,intotal,MEDEASWorlddatabaseaccounts3507entries.Table2showsthelistofPAVsinWorldMEDEASdatabase.Asmentionedbefore, thedatabases ‘entries’ column collects three types of information: PAVs,disaggregationlevelsandvariables;thenumberofeachofthemforeachPAVcanbeseenintable2.

Table2.ListofPAVsinMEDEASdatabasewiththeirassignedidentificationcodeandgroupedbytopics

Topic id PAV PAV+disaggregationlevels+variables

Socioeconomic 1.00.00 GDP(Finaldemand) 1+0+35



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Socioeconomic 2.00.00 Production 1+0+35Socioeconomic 3.00.00 Inequalityindicators 1+0+2Socioeconomic 4.00.00 Income 1+0+2Socioeconomic 5.00.00 Population 1+0+0Socioeconomic 6.00.00 Lifeexpectancyatbirth 1+0+0Socioeconomic 7.00.00 Urbanpopulation 1+0+0Socioeconomic 8.00.00 Ruralpopulation 1+0+0Socioeconomic 9.00.00 Unemploymentrate 1+0+0Socioeconomic 10.00.00 Energydependency 1+0+0Socioeconomic 11.00.00 Technicalcoefficients 1+35+1225

Resources-Economy 12.00.00 Finalenergyconsumptionpercapita 1+0+0Resources-Economy 13.00.00 Waterconsumption 1+0+3Resources-Economy 14.00.00 Waterintensity 1+3+18Resources-Economy 15.00.00 Materialconsumption 1+0+0Resources-Economy 16.00.00 Primaryenergyintensity 1+4+144Resources-Economy 17.00.00 Finalenergyintensity 1+5+180

Landuse 18.00.00 Foodland 1+0+0Landuse 19.00.00 Forestland 1+0+0Landuse 20.00.00 Biodiversityprotectionland 1+0+0Landuse 21.00.00 Urbanlandarea 1+0+0Landuse 22.00.00 Biofuelandbioelectricityland 1+0+0Landuse 23.00.00 Arableandcropland,%totallandarea 1+0+0Landuse 24.00.00 Pasturesandmeadows,%totallandarea 1+0+0Landuse 25.00.00 Forest,%totallandarea 1+0+0Landuse 26.00.00 Otherland,%totallandarea 1+0+0

Energyconsumptionbysectors

27.00.00 FinalEnergyConsumption(FEC) 1+5+180

Materials 28.00.00 Mineralproduction 1+0+20Materials 29.00.00 KgmaterialpernewMWinstalled(construction

phase)1+7+406

Materials 30.00.00 KgmaterialpernewMWinstalled(Operationandmaintenance)

1+4+68

Materials 31.00.00 Initialenergyconsumptionperunitofmaterialconsumption

1+2+116

Materials 32.00.00 Totalreserves 1+0+58Materials 33.00.00 Totalresources 1+0+58

EmissionandClimate 34.00.00 CO2emissionsfromdifferentactivities 1+0+6EmissionandClimate 35.00.00 Nitrousoxideemissions 1+0+0EmissionandClimate 36.00.00 Increaseintotalradiativeforcinginrelationtopre-

industriallevels1+0+0

EmissionandClimate 37.00.00 CH4emissions 1+0+0EmissionandClimate 38.00.00 CO2concentrationlevels 1+0+0



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EmissionandClimate 39.00.00 Globalmeantemperatureincrease 1+0+0EmissionandClimate 40.00.00 GHGemissions 1+0+15

Electricitytransformation 41.00.00 Hydroelectricitypumpedstoragecapacity 1+0+0Electricitytransformation 42.00.00 Hydroelectricitypumpedstorageenergyproduction 1+0+0Electricitygenerationfrom

RESvariables43.00.00 InstalledcapacityofelectricalRES 1+0+8

ElectricitygenerationfromRESvariables

44.00.00 ElectricitycostfromRES 1+0+7


45.00.00 RESlifetime 1+0+9

Energyhistoricaldata 46.00.00 PercentageCHPplantsvstotalheatoutput 1+0+0Energyhistoricaldata 47.00.00 PercentagegasinfossilCHPplants 1+0+0Energyhistoricaldata 48.00.00 PercentagesolidsinfossilCHPplants 1+0+0Energyhistoricaldata 49.00.00 PercentageliquidsinfossilCHPplants 1+0+0Energyhistoricaldata 50.00.00 Extractionresources 1+0+4Energyhistoricaldata 51.00.00 Shareresourcesbysector 1+0+2Energyhistoricaldata 52.00.00 Alternativetransport 1+0+2Energyhistoricaldata 53.00.00 AnnualgenerationliquidsRES 1+0+1Energyhistoricaldata 54.00.00 CapacityinstalledRESfornon-commercialheat 1+0+3Energyhistoricaldata 55.00.00 CapacityinstalledRESforcommercialheat 1+0+3Energyhistoricaldata 56.00.00 NucleargenerationTWh 1+0+0Energyhistoricaldata 57.00.00 Efficiencygasforelectricity 1+0+0Energyhistoricaldata 58.00.00 Electricityconsumption 1+0+0

Energyhistoricaldata 59.00.00 Sharegasvs(coal+gas)heat 1+0+0Energyhistoricaldata 60.00.00 Nonenergyuse 1+0+4Energyhistoricaldata 61.00.00 Losses 1+0+3Energyhistoricaldata 62.00.00 Transformationlosses 1+0+3Energyhistoricaldata 63.00.00 TPESprimarysolidsbiofuels 1+0+0Energyhistoricaldata 64.00.00 Waste 1+0+0Energyhistoricaldata 65.00.00 Efficiencies 1+0+9Energyhistoricaldata 66.00.00 LossesinCharcoalplants 1+0+0Energyhistoricaldata 67.00.00 Peat 1+0+0Energyhistoricaldata 68.00.00 Biogases 1+0+0Historicconstants 69.00.00 BEV/HEVpastsharegrowth 1+0+0Historicconstants 70.00.00 NGVpastsharegrowth 1+0+0Historicconstants 71.00.00 Biofuelspastgrowth 1+0+0Historicconstants 72.00.00 HistoricalgrowthCTL 1+0+0Historicconstants 73.00.00 HistoricalgrowthGTL 1+0+0Historicconstants 74.00.00 Hydropastcapacitygrowth 1+0+0Historicconstants 75.00.00 Geothermalpastcapacitygrowth 1+0+0Historicconstants 76.00.00 SolidbioE-elec 1+0+0



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Historicconstants 77.00.00 Oceanicpastcapacitygrowth 1+0+0Historicconstants 78.00.00 Windonshorepastcapacitygrowth 1+0+0Historicconstants 79.00.00 Windoffshorepastcapacitygrowth 1+0+0Historicconstants 80.00.00 SolarPVpastcapacitygrowth 1+0+0Historicconstants 81.00.00 CSPpastcapacitygrowth 1+0+0Historicconstants 82.00.00 Cumulatedconventionaloilextractionto1995 1+0+0Historicconstants 83.00.00 Cumulatedunconventionaloilextractionto1995 1+0+0Historicconstants 84.00.00 Cumulatedconvgasextractionto1995 1+0+0Historicconstants 85.00.00 Cumulatedunconventionalgasextractionto1995 1+0+0Historicconstants 86.00.00 Cumulatedcoalextractionto1995 1+0+0Historicconstants 87.00.00 Cumulateduraniumextractionto1995 1+0+0Historicconstants 88.00.00 Pastsolargrowthforheat-commercial 1+0+0Historicconstants 89.00.00 Pastgeothermalgrowthforheat-commercial 1+0+0Historicconstants 90.00.00 PastsolidbioE-heat-commercial 1+0+0Historicconstants 91.00.00 Pastsolargrowthforheat-no-commercial 1+0+0Historicconstants 92.00.00 Pastgeothermalgrowthforheat-no-commercial 1+0+0Historicconstants 93.00.00 PastsolidbioE-heat-no-commercial 1+0+0Historicconstants 94.00.00 Cumulativeemissions1751-1995 1+0+0

Renewable&NuclearEnergyParameters

95.00.00 Powerdensity 1+0+6


96.00.00 Lifetime 1+0+12


97.00.00 Capacityfactorinitial 1+0+12


98.00.00 Investmentcost 1+0+9


99.00.00 Timeplanification 1+0+9


100.00.00 Timeconstruction 1+0+9


101.00.00 MinCp(CoefficientofPower) 1+0+9


102.00.00 EROIinitial 1+0+6


103.00.00 EmploymentfactorsRES 1+2+22

Otherparameters 104.00.00 Energysharesbysector 1+0+2Otherparameters 105.00.00 Efficiencies 1+0+12Otherparameters 106.00.00 Energylosses 1+0+2Otherparameters 107.00.00 Bioenergy 1+0+6Otherparameters 108.00.00 LifetimeRESThermal 1+0+0Otherparameters 109.00.00 Alternativetransport 1+0+2Otherparameters 110.00.00 Gridreinforcementcostsref 1+0+0



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Otherparameters 111.00.00 Oilrefinerygainsshare 1+0+0Otherparameters 112.00.00 Tpefpcthresholdhighdevelopment 1+0+0Otherparameters 113.00.00 TPEDacceptablestandardliving 1+0+0Otherparameters 114.00.00 Propheatdistributionlosses 1+0+0Otherparameters 115.00.00 Waste 1+0+8Otherparameters 116.00.00 Biogas 1+0+8Otherparameters 117.00.00 Climateparameters 1+0+11Otherparameters 118.00.00 Sharetraditionalbiomassvssolidsinhouseholds 1+0+0Otherparameters 119.00.00 Efficiencysolarpanelsforheat 1+0+0Otherparameters 120.00.00 Lossessolarforheat 1+0+0Otherparameters 121.00.00 Efficiencygeothermalforheat 1+0+0Otherparameters 122.00.00 EVbatteries 1+0+4Otherparameters 123.00.00 Pumpedhydrostorage(PHS) 1+0+3Otherparameters 124.00.00 Materials 1+0+2Otherparameters 125.00.00 EROINREfuels 1+0+6Otherparameters 126.00.00 Heatdemand 1+2+7Otherparameters 127.00.00 LifetimeCTL 1+0+0Otherparameters 128.00.00 LifetimeGTL 1+0+0

Transport 129.00.00 Householdvehicles 1+2+6Transport 130.00.00 Commercialvehicles 1+4+11Transport 131.00.00 Shareofhouseholdvehicles 1+2+6Transport 132.00.00 Shareofcommercialvehicles 1+4+12Transport 133.00.00 EnergyusedinHouseholdsvehicles 1+2+6Transport 134.00.00 Energyusedincommercialvehicles 1+4+13Transport 135.00.00 SavingratiosofalternativeHOUSEHOLDSvehicles

relativetoliquidsvehicles1+2+6

Transport 136.00.00 SavingratiosofalternativeCOMMERCIALvehiclesrelativetoliquidsvehicles

1+4+13

Transport 137.00.00 Batteriesratio 1+5+4Scenarios 138.00.00 Trenddemand(allsectors) 1+2+10Scenarios 139.00.00 Waste 1+2+10Scenarios 140.00.00 Intensities 1+1+5Scenarios 141.00.00 Minerals 1+2+10Scenarios 142.00.00 Nuclear 1+1+5Scenarios 143.00.00 Techno-ecologicalpotentialelectricRES 1+7+35Scenarios 144.00.00 ProjectionelectricRES 1+8+40Scenarios 145.00.00 Bioenergy 1+15+75Scenarios 146.00.00 Techno-ecologicalpotentialRESforheat 1+2+10Scenarios 147.00.00 ProjectionRESforheat 1+3+15Scenarios 148.00.00 Alternativetransport 1+3+15Scenarios 149.00.00 Afforestation 1+1+5



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Scenarios 150.00.00 Resourcesoil 1+4+20Scenarios 151.00.00 Resourcesgas 1+4+20Scenarios 152.00.00 Resourcescoal 1+1+5Scenarios 153.00.00 Resourcesuranium 1+1+5Scenarios 154.00.00 CTL 1+1+5Scenarios 155.00.00 GTL 1+1+5Scenarios 156.00.00 Climate 1+1+5Scenarios 157.00.00 CCimpacts 1+1+5Scenarios 158.00.00 Policiestoreduceoilcontributioninheatand

electricityfollowinglineardecreasingtrend1+2+10

2.3IdAsmentionedbefore,MEDEASdatabasehas a highdisaggregation level in their PAVs. Someofthem (there are PAVs which do not need any disaggregation) can have a disaggregation levelwhichorganises thevariablesamongstdifferent types.Allof themare theentries indatabase,+whicharetranslatedintotheDBMS.SeveralexamplesareprovidedinTable3andinthissection.

Eachentryhasoneidentificationcode.TherearenomorethanthreelevelsforeachPAV,whichare identified (column id) by their respective identification code. The different disaggregationlevelsof theentrieswereencodedbynumbers (00–99), thus this identificationcodewill reportthesethreelevelsfollowingthisstructure:xx.xx.xx.ThefirstlevelcorrespondstothePAV,andthesecondandthirdlevelcorrespondstothedifferentlevelsofdisaggregationbecauseeachPAVcanbedisaggregatedinanumberofvariables.Secondlevelcanbeadisaggregationlevelwhenthereisnodata in it,butalsoavariablewhen there isdata.Third level isalwaysavariable includingdata.

For instance,thePAVwithidentificationcode1.00.00andcalled‘GDP(FinalDemand)’hasbeendisaggregatedbyeconomicsectors (Table5) into35newvariables from1.01.00to1.35.00;andthe PAV with identification code 29.00.00 and called ‘Kg material per new MW installed(constructionphase)’hasbeendisaggregatedby7energytechnologiesfrom29.01.XXto29.07.XXandby58materials (Table7) from29.XX.01to29.XX.58resulting in7disaggregation levelsplus406(58x7)variables.

Table3 showsexamplesonhowentries are assignedawith three level identification code. ‘Id’columnshowstheidentificationcode.‘Entries’isthecolumnwiththenameoftheentry.‘Typeof



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entry’columnshowsiftheentryisaPAV,adisaggregationleveloravariable.Thecolumn‘Dataprovided’explainstheinformationofeachentry,thisinformationwillbeprovidedbyDBMS.

Table3.ExamplesofdisaggregationlevelsofentriesinMEDEASdatabaseandtheiridentificationcodes.

Id Entries Typeofentry Dataprovided

17.00.00 FinalEnergyIntensity PAV Finalenergyintensity(Total)

17.01.00 FinalEnergyIntensity_Electricity

Disaggregationlevel.Seconddisaggregationlevel.Morelevels.

Finalenergyintensitybysource(Electricity)

17.01.01 Agriculture,Hunting,ForestryandFishing

Variable.Thirddisaggregationlevel.Includesdata.Nomorelevels.

Finalenergyintensitybysource(Electricity)andsector(Agriculture,Hunting,ForestryandFishing)

17.01.02 MiningandQuarrying Variable.Thirddisaggregationlevel.Includesdata.Nomorelevels.

Finalenergyintensitybysource(Electricity)andsector(MiningandQuarrying)

17.02.00 FinalEnergyintensity_Heat

Disaggregationlevel.Seconddisaggregationlevel.Morelevels.

Finalenergyintensitybysource(Heat)

17.02.03 Food,BeveragesandTobacco


Finalenergyintensitybysource(Heat)andsector(Food,BeveragesandTobacco)

17.03.04 TextilesandTextileProducts


Finalenergyintensitybysource(Liquids)andsector(TextilesandTextileProducts)

28.00.00 Mineralproduction PAV Mineralproduction(Total)

28.01.00 Silver(Ag) Variable.Seconddisaggregationlevel.Includesdata.Nomorelevels

Mineralproductionbymineral(Silver)

Disaggregationlevelsnotalwaysincludedatawhentheironlyutilityislabellingthedisaggregateddata under its title, then the variables are included under these disaggregation levels or PAVs(whenthereisnoneedtousedisaggregationlevels).

In some cases, the PAV is enough to provide the data, as there is no disaggregation in it. Forinstance,PAV29.00.00,‘KgmaterialpernewMWinstalled(constructionphase)’inMaterialstopichas 7 disaggregation levels according different energy technologies and 58 materials in eachdisaggregationlevel.Theircommitmentisseparatingthematerialsusedinenergyinfrastructuresconstruction by technologies. However, there is no data nor in the PAV, neither in the 7disaggregationlevels,butinthe406variables.



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2.4TopicMEDEAS database (both data andmetadata) is organized by Topics. These topics (Table 4) arerelatedtothemodulesinMEDEASmodelshowedinFigure1(i/Energyinfrastructures,ii/EconomyandPopulation,iii/Materials,iv/Climatemodel,v/Landuse,vi/Socialandenvironmentalimpactsindicators,vii/Energy(NRandRESavailability)).

Each topichasanumberofPAVscollected (Table2) regarding themodelneeds.The topicsputtogetheralltheentriesthatfeedeachmoduleofthemodel.Ineachtopic,PAVSarecollectedinadditiontotheirlevelsofdisaggregationandvariables.

Table4.TopicsinMEDEASDatabaseanditsnumberofentries.

Topic Information Numberofentries

Socioeconomic Datafortheeconomymodule,mainlyinmonetaryunits 1345

Resources-Economy HybridvariablessuchasresourcesintensitiesrelatedtoGDP 363

Landuse Datafortheland-usemodule 9


Finalandprimaryenergyconsumptionbysourcesandindustrialsectors.Datafortheeconomymodule

186

Materials Materialresources.Dataforthematerialsmodule 745

Emissionsandclimate Datafortheclimatemodule 28

Electricitytransformation Datafortheenergyinfrastructuresmodule 2


Datafortheenergy(NRandRESavailability)module 27

Energyhistoricaldata Datafortheenergyinfrastructuresmoduleandfortheenergy(NRandRESavailability)module

57

Historicconstants Constantsneededinthemodels 26


Parametersfortheenergy(NRandRESavailability)module 105

Otherparameters Parametersneededinthemodels 100

Transport Datafortheeconomymodulerelatedwithtransport 115

Scenarios Scenariosdataconsideredinthemodels 399

Detailsonthedifferententriescontainedineachtopicwillbediscussedbelow.

Socioeconomic: Here we can find data related with final demand, production, primary incomedistributionorthevaluesforthecoefficientmatrixoftheInput-Outputtables(IOTs).FinaldemandandGDP are disaggregated by 35 economic sectors (Table 5). Inequality indicators refer to the



20

income share over GDP of labour and capital. Thus, PAV Income collects labour and capitalincome.

Collection of a large share of socioeconomic data depends on working with the World Input-OutputDatabaseWIOD.OneofthemainstrengthsofMEDEASisitssectorialdisaggregationandInput-Output Analysis (IOA). For this purpose, the WIOD was chosen because it met all theserequirements: public database, available at world level and inclusion of environmental (Genty2012) and societal (Timmer et al. 2015) satellite accounts.WIOD provides interregional IOTs incurrentandinpreviousyearprices.TheprocesstoobtainaworldIOTasifitwasjustonecountryhasinvolvedtwotasks:

• DeflateinterregionalIOTsusingvaluechainswithacommonbaseyear(1995).• CompiledeflatedinterregionalIOTsintoaoneregionwithnoexternaltrade.

Hence, firstly, interregional IOTs were deflated using value chains methodology. Then, incollaborationwithMasarykUniversity(MU),interregionalIOTs(seeFigure2)hadtobetranslatedtooneregionIOT.

Figure2.NationalandInterregionalIOTstoconstructWorldMEDEASIOTs.

IC: Intermediate consumption; FD: Final demand; VA: Value added; X: Production. National IOT superscripts: N:National;FN:foreigninnational;NF:Nationalinforeign.

Inordertofitwiththeworldmodel,thisinterregionalIOTneedstobeconvertedintoaoneregionIOT without external trade, like in Figure 3. As well, for the Europe database, from theinterregionalIOTtherehasbeennecessarytoconvertitintoa2regionsIOT.These2regionsIOTconsists on an interregional IOT with just 2 regions: Europe and Rest of the world (collectingexternal trade). For country level, conversely, it has been constructed a national IOT. All these



21

structural changes imply different accounting systems in the IOTs, which has required anadditionalworktocollectthedataneededinthemodel.

Figure3.WorldIOTusedinMEDEAS.

IC:Intermediateconsumption;FD:Finaldemand;VA:Valueadded;X:Production.

Usingthissourcehasconditionedtheelectionofthesectorialdisaggregation.Besides,additionalworkhasbeenneededinordertocompileWIODenergysourcesintothoseneededinthemodel.The35sectorsthatcanbeseenalongthedatabasearecollectedinTable5.

Table5.SectorialdistributioninMEDEASdatabase

Sectors

1 Agriculture,Hunting,ForestryandFishing 18 Construction

2 MiningandQuarrying 19 Sale,MaintenanceandRepairofMotorVehiclesRetailSaleofFuel

3 Food,BeveragesandTobacco 20 WholesaleTradeandCommissionTrade,ExceptofMotorVehicles

4 TextilesandTextileProducts 21 RetailTrade,ExceptofMotorVehicles;RepairofHouseholdGood

5 Leather,LeatherandFootwear 22 HotelsandRestaurants

6 WoodandProductsofWoodandCork 23 InlandTransport

7 Pulp,Paper,Paper,PrintingandPublishing 24 WaterTransport

8 Coke,RefinedPetroleumandNuclearFuel 25 AirTransport

9 ChemicalsandChemicalProducts 26 OtherSupportingandAuxiliaryTransportActivities;ActivitiesofTravelAgencies

10 RubberandPlastics 27 PostandTelecommunications

11 OtherNon-MetallicMineral 28 FinancialIntermediation

12 BasicMetalsandFabricatedMetal 29 RealEstateActivities

13 Machinery,Nec 30 RentingofM&EqandOtherBusinessActivities

14 ElectricalandOpticalEquipment 31 PublicAdminandDefence;CompulsorySocialSecurity

15 TransportEquipment 32 Education

16 Manufacturing,Nec;Recycling 33 HealthandSocialWork

17 Electricity,GasandWaterSupply 34 OtherCommunity,SocialandPersonalServices

35 PrivateHouseholdswithEmployedPersons



22

ThePAVcorresponding toTechnicalCoefficients (PAV11.00.00)has the largest setofentries inMEDEAS.Itisusuallygivenaspaneldata,asitreflectscommercialtransactionsbetweenthese35industrialsectors(a35x35matrix)repeatedfortheentiretimesample.As it iscollectedastimeseries, each sector’s relationwith theother 34 is one variable. Therefore, PAV11.00.00has 25disaggregation levels and 1225 (35x35) variables. For the sake of simplicity, sectorial datawithequalmetadatathanitsrootPAV,itisnotincludedinthemetadata.Socioeconomictopicincludes1345entriesatworldlevel.

Resources-Economy: Includes hybrid indicators, as the efficiencies in primary and final energyconsumptionregardingeachsectorproduction.Efficienciesaredisaggregatedbyindustrialsectorsand types. For instance, energy intensities are unbundled according to energy sources. Finalenergy sources are: i/ electricity; ii/ heat; iii/ liquids; iv/ gases; v/ solids. Primary energy isdisaggregatedin:i/coal;ii/oil;iii/naturalgas;iv/other.Thistopicencompasses363entries.

Landuse:wehaveregisteredthelandareaandshareof landuse:foodland,forest,biodiversityprotection land,pastures,biofuels land,arable landandothersasenergy infrastructures for thespreadofrenewabletechnologies.ThereisthesamenumberofentriesthanPAVsbecausethereisnodisaggregation,thisis9entries.

Energy consumption by sectors: due to its especial relevance, in this section we include dataaboutthefinalenergyconsumptionwithindifferentsourcesandeconomysectors.Asmentionedbefore regardingenergy intensities, finalenergyconsumption isdisaggregatedby5 finalenergysources and 35 industrial sectors plus household consumption, resulting in 186 entries.AggregatedenergysourcesusedinMEDEASandtheiroriginaldisaggregationareshowninTable6.

Finally,inordertoaggregateenergydatainaproperwaytofitinMEDEASmodel,WIODsourceshavebeencontrastedwithIEAsourcestocompilenewtypesoffinalenergy.Table6showsFinalenergysources.MEDEAScolumnshowtheenergysourceinMEDEAS,whichhasbeenconstructedaggregatingWIODenergysources.WIODenergysources,inturn,needtobecontrastedwithIEAbalances.

Table6.ConversionofWIODfinalenergysourcestoMEDEAS

MEDEAS WIODCODE IEA

ELECTRICITY ELECTRICITY ElectricityHEAT HEAT Heat



23

LIQUIDS

CRUDE Crudeoil-Naturalgasliquids-Refineryfeedstocks-Additives/blendingcomponents-Otherhydrocarbons

DIESEL Gas/Dieseloilexc.BiofuelsGASOLINE Motorgasolineexcl.Biofuels

JETFUEL Aviationgasoline-Gasolinetypejetfuel-Kerosenetypejetfuelexcl.Biofuels

LFO Gas/DieseloilHFO Fueloil

NAPHTA Naphtha

OTHPETROBitumen-Ethane-Liquefiedpetroleumgases(LPG)-Lubricants-Otheroilproducts-Otherkerosene-Paraffinwaxes-Petroleumcoke-Refinerygas-Whitespirit&SBP

BIOGASOL Bio-gasoline-OtherliquidbiofuelsBIODIESEL Biodiesels

GASES

NATGAS Naturalgas

OTHGAS Blastfurnacegas-Cokeovengas-Gasworksgas-Coalgasesnon-specified-Otherrecoveredgases

BIOGAS Biogases

SOLIDS

HCOAL Anthracite-Otherbituminouscoal-Cokingcoal-Patentfuel-Sub-bituminouscoal

BCOAL BKB-Coaltar-Lignite-Peat-PeatproductsCOKE Gascoke-Cokeovencoke

WASTE Industrialwaste-Municipalwaste(renewable)-Municipalwaste(non-renewable)

OTHRENEW Charcoal-Non-specifiedprimarybiomassandwaste-Primarysolidbiomass

Materials:Weincludeheretheextractionofcriticalmaterialsfromthepointofviewofrenewableenergygeneration,aswellasthereserves,therecyclingratesandtheextractioncostsinmonetaryandenergy terms.The listof58materials inwhicharedisaggregated thePAVsare collected inTable7.ThisTopiccontains745entries.

Table7.Listof58materials

MATERIALS

Adhesive Lime SiliconsandAluminium(Al) Limestone Siliconwafermodules

Aluminiummirrors Lithium(Li) Silver(Ag)Cadmium(Cd) Lubricant Tin(Sn)Carbonfibre Magnesium(Mg) SodaashCement Manganese(Mn) Steel

Chromium(Cr) Heavymachinery(depreciation Syntheticoil



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andreposition)Copper(Cu) Concrete Tellurium(Te)

Diesel Molybdenum(Mo) Titanium(Ti)Dy NaNO3mined Titaniumdioxide

Electric/electroniccomponents NaNO3synthetic Vanadium(V)Evacuationlines(KM) Neodymium(Nd) Wires

Fiberglass Nickel(Ni) Zinc(Zn)Foamglass Overgrid(15%) Gallium(Ga) Overgrid(5%)

Glass Paint Glassreinforcingplastic(GRP) Lead(Pb) Gravel(roads,protection…) Plastics

Indium(In) Polypropylene Iron(Fe) Rock

KNO3mined Rockwool Asphalt Sand

Emissionsandclimate:Includesdataconcerningtogreenhousegasesemissions.Theseareentriesin terms of CO2 and other gases as CH4. It includes both atmospheric concentrations andtemperature increases.Emissionsaredisaggregatedbysources:oil,unconventionaloil,coal,gasandunconventionalgas.Thistopichas28entries.

Electricitytransformation:Collectsstoragecapacitiesinonlytwoentries,thesamenumberthanPAVs.

Electricitygeneration fromRESvariables:Unlikeprimaryenergysources, theseare finalenergysources.There isdataof installedcapacity,costsand lifetimefor7 technologies: i/Windpower(on shore); ii/Wind power (off shore); iii/ Solar photovoltaic (land); iv/ Hydro power; v/ Solarthermal power; vi/ Geothermal power; vii/ Biomass and waste power; viii/ Solar photovoltaic(rooftop);ix/Solidbioenergyforelectricity;x/Oceanic.Thereare27entriesinthistopic.

‘Energy historical data’, ‘Historic constants’, ‘Renewable & Nuclear Energy Parameters’ and‘Otherparameters’:Theyareusedamongall themodulesofMEDEAS.Therearehistoricaldatarequired to establish trends and other historic constants as well. Then, parameters regardingRenewable&NuclearEnergyandotherparametersrequiredfortheentries inthemodel.Thereare288entriesinthesetopics.

Transport: Data about the energy use by each type of vehicle, number of electric and hybridvehicles, number of batteries, etc. Types of vehicles are disaggregated related to their energyneeds:i/liquids;ii/gas;iii/hybrid;iv/electricvehicle.Inordertotakeintoconsiderationefficiency



25

we included informationaboutsavingandbatteries ratiosby typeofvehicle.Thereare2and4wheels’vehicles,fromhouseholdsandcommercial,heavyandlightduty,cargos,busandtrain.Inthistopicthereare115entries.

Scenarios:Collectsthedataforrunningthemodelswiththe4defaultscenarios.Inthistopicthereare399entries.

2.5TypeofVariableTheentriesareclassifiedregardingtheirroleinMEDEASasexogenousorendogenous.Theentriesthatsimplyfeedthemodelanddonotevolveasaresultofmodeling,areexogenous.Conversely,endogenousarethosethatvarydependingontheevolutionofthemodel.Forinstance,constantsliketherateofrecyclingdoesnotevolveasconsequenceoftheevolutionofotherentriesinthemodel. It can be modified among scenarios or through policies, but this modifications areexogenoustothemodel.Onthecontrary,FinalEnergyconsumptionisaresultoftheevolutionofotherentriesinthemodelsuchasenergyavailability.Thus,itisendogenoustothemodel.Finally,‘notclear’arethosethatplaybothroles,ashistoricaltrendsdo.

2.6UnitsUnitsinMEDEASdatabasehavebeenchosenregardingavailabilityandthosethatbetterfitwiththe model needs. Moreover, units need to be consistent between each other. For instance,monetaryunitsthatinteractwithentriesrelyingonmonetaryunitsneedtohavethesamebase.WIOD,asoneofthemainsourcesofMEDEASdatabaseprovidenotonlyentriesinmonetaryunits(suchasproductionor finaldemand),but isused to calculate intensities (final energy intensity,primaryenergyintensityorwaterintensity).WIODdatabaseisprovidedincurrentandinpreviousyear prices.Deflating this data has been a largeprocess,managingdata sourceswith a samplewith a size of 49000 for each year and, thus, a total size of the sample of 735000. Finally, theresultsobtainedwheremonetaryunitsin1995$.Thesimplifiedprocesstoobtainmonetarytimeseriesinthesamebaseunitwasthefollowing:

1- Fromcurrentpricestolinkers.

𝐿! =𝐶𝑢𝑟𝑟!,!!!𝐶𝑢𝑟𝑟!!!

∗ 100

2- Fromlinkerstovolumechains.

𝐵𝑎𝑠𝑒 𝑌𝑒𝑎𝑟 (𝐵𝑌) = 100; 𝐵𝑌!! = 𝑙𝑖𝑛𝑘𝑒𝑟𝑠;𝑇ℎ𝑒𝑛: 𝑉! = 𝑉!!! ∗ 𝐿!100



26

3- Fromvolumechainstoconstantvalues.

𝐶𝑉! =𝐶𝑢𝑟𝑟!" ∗ 𝑉!

100

Where:𝐶𝑢𝑟𝑟!:Valueincurrentpricesatyeart.𝐶𝑢𝑟𝑟!,!!!:Valueinpreviousyearprices.𝐿!:Linkeratyeart.𝑉!:Volumechainatyeart.𝐶𝑉!:Constantvalueatyeart.

ThedatabaseunitsarecollectedinTable8.UnitTitleisdenameoftheunitwhichisshownfortheuser when selected in the database and metadata. Each unit title belongs to a quantity title,becauseeachentrycanbeconverted intootherunits. For instance,Quantity ‘Area’ is shown inkm2,MhaandkHa.Baseunitisthereferenceunitfortheothersineachquantitytitle.Thus,baseunit are shown by default.Multipliers for each unit title have been added to the base units inordertomaketheconversions.

Table8.ListofunitsinMEDEASdatabase

UNITTITLE QUANTITY BASEUNIT

Annualgrowth% Annualgrowth annualgrowth%kHa Area km2MHa Area km2km2 Area km2

Mha/EJ Areaperenergy Mha/EJTW Capacity TWMW Capacity TWW/m3 Capacityperarea W/m2

ºC*m*m/(W*yr) Climateparameter ºC*m*m/(W*yr)ppm CO2concentration ppm

tonCO2 CO2Emissions GtonCO2GtonCO2 CO2Emissions GtonCO2MtonCO2 CO2Emissions GtonCO2

GtonCO2/MJ CO2Emissionsperenergy GtonCO2/MJChainedlinkedvolumes,

million€(2010)Commercevolume Chainedlinkedvolumes,

million€(2010)€/kWh Costperenergy €/kWhDmnl Dimensionless Dmnl



27


TWe/Mha ElectricTWperarea TWe/MhaTWe ElectricalCapacity TWe

jobs/MW Employmentperenergy jobs/MWEJ Energy EJ

TWh Energy EJTJ Energy EJ

TJ/$(1995) Energyintensity EJ/$(1995)EJ/$(1995) Energyintensity EJ/$(1995)

kWh/$(1995) Energyintensity EJ/$(1995)TJ/million$(1995) Energyintensity EJ/$(1995)

MWh/ha Energyperarea MWh/haEJ/Mha Energyperarea MWh/ha

kgoe/capita Energypercapita kgoe/capitaGJ/capita Energypercapita kgoe/capitaMJ/Kg Energypermass MJ/Kg

W/(m2*ºC) Heatcapacity W/(m2*ºC)$(1995)/kW Investmentcost $(1995)/kW

thousand$(1995)/TW Investmentcost $(1995)/kW%oftotallaborforce LaborForce %oftotallaborforce

Mton Mass Mtonton Mass Mtonkton Mass Mton

kg/newMW Masspercapacity kg/newMWton/capita Masspercapita ton/capitaGtonCH4/MJ Methaneperenergy GtonCH4/MJmillion$(1995) Money million$(1995)ktonCO2eq OthergasesEmissions GtonCO₂eqGtonCO₂eq OthergasesEmissions GtonCO₂eq

GtonCO₂eq/MToe OthergasesEmissionsperenergy

GtonCO₂eq/MToe

% Percent %inhabitants Population inhabitants

W/m2 Radiativeforce W/m2ratioinput($)/output($) Technicalcoefficients ratioinput($)/output($)

ºC Temperature ºCTWth ThermalCapacity TWth

vspasttrends Values vspasttrendsmillionvehicles Vehicles ºC



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m3 Volume TWth1000m3 Volume vspasttrends

m3/$(1995) Waterintensity millionvehicles1000m3/million$(1995) Waterintensity m3

1000m3/$(1995) Waterintensity m3kW/battery WattsperbatteryEV m3/$(1995)

yr Years m3/$(1995)

2.6Sources,LinkandLicenseInTable9arecollectedthe48sourcesusedfortheMEDEASdatabase.DatausedinMEDEASmustbe of public domain, therefore data sources with copyright protection had required ownelaborationsandestimations.AsoneofMEDEASmainrequirementsisthepublicavailabilityofalldata used, the public domain is expressed explicitly in metadata, the category license can bepublicdomainorprivatedomain.

ThemostimportantdatasourcebynumberofdataisWIOD(Dietzenbacheretal.2013),butalsoWorldBank,IEA,OECD,CDIAC,BP,IRENA,etc.Someofthedatasourcesareeasytocollectdatalike‘BritishPetroleum(BP)’,butothersrequirehardworklikeUSGSsourceformaterialsbecausedataisprovidedinyearlyindependentreportsfrom1994to2016;andsomearefreeandinthepublicdomain(inthesenseof intellectualproperty) likeWIODandsomearenon-freeandhavecopyrightprotectionlikeInternationalEnergyAgency.

Thecategory‘sources’explainsalsotheprocedureofretrieval,focusingontheinstitutionortheauthor/sifitisfromapaper,reportorbook.Whenpossible,alinktothesourcewherethedatawascollectedisgiven.TheURLgivenisalwaystheclosesttothefinaldata,particularlyforcaseswhereisnotpossibletolinkthemdirectly.

Table9.ListofsourcesinMEDEASdatabase

Source Link

WorldInput-OutputDatabase(WIOD) www.wiod.orgWorldBankGroup http://data.worldbank.org/InternationalEnergyAgency http://www.iea.org/statistics/FriendsOfTheEarth https://www.foe.co.uk/FoodandAgricultureOrganizationoftheUnitedNations(FAO)--StatisticsDivision(ESS),

http://www.fao.org/economic/ess/ess-home/en/



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Source Link

EnvironmentStatisticsteamCapellánetal.DeliverableD2.2.e.4(annex12) Alfresco(internalserveratICM-CSIC).:

https://alf.cmima.csic.es/share/page/OECD.Greengrowthindicators http://www.oecd.org/env/indicators-modelling-

outlooks/green-growth-indicators/UnitedStatesGeologicalSurvey(USGS) https://www.usgs.gov/IntergovernmentalPanelonClimateChange(IPCC) http://www.ipcc.ch/CarbonDioxideInformationAnalysisCenter(CDIAC) http://cdiac.ornl.gov/GlobalCarbonProject http://www.globalcarbonproject.org/NOAAEarthSystemResearchLaboratory https://www.esrl.noaa.gov/NASA.GlobalClimateChange https://climate.nasa.gov/BaselinescenariofromDICE-2013R http://www.econ.yale.edu/~nordhaus/homepage/docume

nts/DICE_Manual_100413r1.pdfBrandtandFarrell(2007) http://rdcu.be/r5QGBritishPetroleum(BP) http://www.bp.com/en/global/corporate/energy-

economics/statistical-review-of-world-energy.htmlHowarth(2015) http://www.eeb.cornell.edu/howarth/publications/f_EECT-

61539-perspectives-on-air-emissions-of-methane-and-climatic-warmin_100815_27470.pdf

U.S.EnergyInformationAdministration https://www.eia.gov/TheInternationalRenewableEnergyAgency(IRENA) http://www.irena.orgMohretal.2015 http://www.sciencedirect.com/science/article/pii/S001623

6114010254ElectricVehiclesInitiative(EVI)IEA http://www.cleanenergyministerial.org/Our-

Work/Initiatives/Electric-VehiclesInternationalAssociationforNaturalGasVehicles(IANGV)

http://www.iangv.org/

Lund&Boyer(2015) Lund,JohnW.,andTonyaL.Boyd.“DirectUtilizationofGeothermalEnergy2015WorldwideReview.”InProceedingsWorldGeothermalCongress2015,31.Melbourne,Australia,2015.

SolarPACESdata https://www.nrel.gov/csp/solarpaces/EnvironmentalWorkingGroup(EWG) http://www.ewg.orgCapellán-Pérezetal.(2017) http://www.sciencedirect.com/science/article/pii/S136403

2117304720deCastroetal.(2013) http://www.sciencedirect.com/science/article/pii/S136403

2113005807REN212016 http://www.ren21.netBoccard(2009) http://www.sciencedirect.com/science/article/pii/S030142

150900144XTeskeetal.(2011) Teske,Sven,ThomasPregger,SonjaSimon,TobiasNaegler,

WinaGraus,andChristineLins.2011.“Energy[R]evolution2010—aSustainableWorldEnergyOutlook.”EnergyEfficiency4(3):409–33.doi:10.1007/s12053-010-9098-y.

SchneiderandFroggatt(2014) https://www.worldnuclearreport.org/-2014-.htmlAnnex3fromMEDEASD2.1 Alfresco(internalserveratICM-CSIC):

https://alf.cmima.csic.es/share/page/



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Source Link

Deliverable4.1 Alfresco(internalserveratICM-CSIC):https://alf.cmima.csic.es/share/page/

WEO2010 http://www.worldenergyoutlook.org/media/weo2010.pdfMediavilla2013;deCastroetal(2014)andMEDEASD2.2Task2.2.e.4

Alfresco.(internalserveratICM-CSIC):https://alf.cmima.csic.es/share/page/

Fieldetal.2008 https://www.ncbi.nlm.nih.gov/pubmed/18215439deCastro&Carpintero(2014) http://www.sciencedirect.com/science/article/pii/S036054

4213009018Millsetal.(2012) http://escholarship.org/uc/item/1tk2f2mcArtoetal.(2016) http://www.sciencedirect.com/science/article/pii/S097308

2616301892?via%3DihubGoldemberg(2011) http://econpapers.repec.org/paper/hdrhdocpa/hdocpa-

2001-02.htmDICEmodel http://www.econ.yale.edu/~nordhaus/homepage/docume

nts/DICE_Manual_100413r1.pdfNielsen&WoLiM1.5 https://www.researchgate.net/publication/313823551_Wo

LiM_15_Model_DocumentationDale&Barnhart(2013) http://pubs.rsc.org/en/content/articlelanding/2013/ee/c3e

e41973hDenholmandMargolis(2008) https://inis.iaea.org/search/search.aspx?orig_q=RN:400192

99Ragnarsdóttiretal.(2012) Ragnarsdóttir,K.V.,Sverdrup,H.,Koca,D.,2012.Assessing

longtermsustainabilityofglobalsupplyofnaturalresourcesandmaterials,in:SustainableDevelopment-Energy,EngineeringandTechnologies-ManufacturingandEnvironment.InTech.

Halletal.(2014) http://science-and-energy.org/wp-content/uploads/2016/03/Hall-Lambert-and-Balogh-2014-EROI-of-different-fuels-and-the-implications-for-society.pdf

Raoetal.2014 http://www.nature.com/nclimate/journal/v4/n9/full/nclimate2340.html?foxtrotcallback=true

WBGU2003 www.wbgu.de/

2.7 Last source update, Date collection and Dataperiod

The category ‘last source update’ provides the last update time provided for the original datasourcecollected.

Date collection refers to the date when the data was collected by UVa. If there are furtherdevelopments,thiscategorywillhavetobeupdated.



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Adataperiodisthetimeperiodforwhichdatawascollectedorcalculatedandtowhichthedatarefer.

2.8ReliabilityindexReliability index has been calculated according to the algorithm proposed in Table 10. Therationaleof the reliability index is toprovidea relativelyobjective criterion to choosea source.Length of the time series, continuity of them, number of sources used and variation of datasourcesareobjectiveindicators.Variationofdatasources(Table10)refers,incasethatmorethanonesourcehasbeenused,tothevariationbetweenthem.Finally,thereisasubjectiveindicator‘reliabilityofdatasources’,dependingontheinstitution,paper,ordatabasewherethedatawascollected. This concept has been introduced by AEA (M. Baumann) to harmonize themetadatadefinitionwiththeconceptsalreadyinuseinTIMES-Austriamodel.

Table10.Reliabilityalgorithm

Category Possibleanswers Scores

1.Lengthofthetimeseries1-55-10

Morethan10

0.70.851

2.Obviousdiscontinuitiesinthetimeserieswithoutobviousexplanation

YESNO

0.71

3.Numberofdatasources 1Several

0.71

4.Variationsofdatasources0-20%

21 –50%>50%

10.850.70

5.ReliabilityofdatasourcesLow

MediumHigh

0.70.851

2.9CommentsandTypeofvalueComments: Finally, some clarifications and descriptions are gathered in category comments, inorder to make data more comprehensively. For instance, we detail here the estimated andelaborateddataforMEDEASinordertomaintainitspublicdomainnature.

Typeofvalue relatesto itsconditionastimeseries,constantorparameter.Data isorganizedintime series. Some data, as technical coefficients are usually provided as panel data. However,



32

becauseof the need for homogeneity in the database, itwas decided to provide themas timeseries.Inaddition,therearesomeconstantsorparametersthatonlyrequireadataentry,withnotimedimension.Thesekindofdatahasbeendeliveredasjustonevaluein2015or,alternatively,repeated throughout all the time sample. Data maximum sample if from 1960 to 2016, butdependsontheentry,accordingmainlytotheavailabilityoflongseries.



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3.WebDatabaseManagementSystem(CRES)Awebdatabasemanagementsystemthatallowspartnerstostore,retrieveandmanagethedatacollected, elaborated and generated within MEDEAS project was designed, implemented andinstalled in the framework of Deliverable 2.3. The exact work plan and actions for thedevelopmentof theapplicationaredescribed inthefollowingsections. It isnotedthat thedatacenter hosting the application will provide infrastructure for running MariaDB along with anapplicationserver(Tomcat).

3.1WorkplanCRES was the responsible partner for designing and developing the whole application, whichconsistedofthreeparts,describedinthefollowing.

Layer 1 - Database: The design and development of the database was based on the “entity -attribute–value”model.Withinthiscontext,theentityisoneamong"World","EU",“Austria”or“Bulgaria”andtheattributeisthespecificentry.Inthismodel,theentriesareorganizedinatree,whereasprovisionsweremade,sothatthehistoryofchangesforeachentryisstoredandreadilyavailable.Moreover,foreachentrytherelevantmetadataarestored.

TheDBMSselectedtodevelopthisapplicationisMariaDB.

Layer2-MiddleLayer:Intermsoffunctionality,CREShasdesignedanddevelopedaJ2EElibrary(.jarfiles)thatprovidesthefollowingfunctionality,intheformofJSFpost-backs:

- Storethevalueofaspecificentry.- Retrievethevalueofaspecificentry.- Createanewentry.- Retrieve the data needed for report generation. For this purpose a Java API has been

designedandimplemented,that,givenoneormoreentriesandoneormoreentities(seeabove)hasretrievedtherelevantdata.

Layer3-Frontend:CREShasdesignedanddevelopedawebapplicationthatexposesthe‘layer2’functionality to theweb user. Emphasis has been given in the simplicity and robustness of theapplication.Auserauthenticationsystemisalsoprovidedatspecificapplicationsections,withtheinitialpasswordssenttoapplicationusersbyaseparate,securemedium.



34

3.2DatabaseapplicationdescriptionThissectiondescribesthefirstlayeroftheDBMS,namelythedatabase.

Figure4showstheschemaof thedatabasestructure,whichwasdesignedbasedonanasetofinitialsampledataandfollowingsomediscussionswiththeMEDEASmodeldevelopers.

Figure4.DatabaseStructure

AsseeninFigure4,thedatabaseconsistsoftwomainentities:VariableandValue.TheVariableentity holds the basic characteristics of the entries of theMEDEASproject (Id code, entry title,etc.). It is connected with the Metadata entity, which holds additional characteristics of theentries.TheValueentityholdsthedatacollected,elaboratedandgeneratedwithintheMEDEASproject.EachValueentityrecordcontainstheIdcode,theleveltowhichthedatarefer(i.e.model:World,Europeanetc.),theyeartowhichthedatarefer(time)andtheactualnumericalvalueofthedata.



35

Theotherentities,whichareshownintheschemaabove,aresetsofpredefinedvaluesthatareusedtofillcertainfieldsofthemainentities.Therefore,everyvalueofaentryreferstoamodel(World, Europeanetc.),which is retrieved from theModelentity. In the sameway,everyentrybelongs to a Topic (e.g. socioeconomic, etc.) and has a Variable Type (endogenous, exogenousetc.).Moreover,everyentryexpressesaphysicalquantity(e.g.Energy).Everyquantityhasabaseunit (e.g. kWh forEnergy).Everyunit (e.g. Joule)belongs toa certainquantity (inourexample,Energy) and it is transformed to the base unit of a specific quantity according to a certainmathematical formula (in theaforementionedexample, it ismultipliedby1/3600000,since1J=1/3600000kWh).

3.2.1TablesdescriptionEach of the above mentioned entities is described below in detail through its correspondingdatabasetable.

Table11.VARIABLE

Columnname

Type Description

id String Identificationcode.Thisisunique.title String Titleoftheentryquantity Integer Whichphysicalquantitytheentryrefersto(e.g.Energy)topic Integer Whichtopictheentrybelongsto.Itreferstothecolumn‘id’oftableTOPICvariabletype Integer Type of the entry (endogenous or exogenous). It refers to the column ‘id’ of

tableVARIABLETYPE.

Note: Each entrymust be either endogenous or exogenous (or not clear). If a certain entry isconsidered exogenous (i.e. it comes from an external source) and a new value for this entry iscalculatedthroughthemodel(producedbythemodel),anewentrymustbecreated(meaninganentrywithanewID),whichwillhavethesamecharacteristicsasthefirstone,butits‘variabletype’will be ’endogenous’ and its title will probably need to bemodified for the two entries to bedistinguished.

Table12.TOPIC

Columnname Type Description

id Integer Identificationcodetitle String Titleofthetopic



36

TheTopicentityconcernsoneofthemaindatabasetopics,suchas“ElectricityTransformation”,“Emissions and Climate”, “Energy Consumption by sector”, “Socioeconomic”, etc. This tableconsistsonlyofthetopic’sIDanditstitle.

Table13.VARIABLETYPE


id Integer Identificationcodetitle String Titleoftype(endogenous,exogenousornotclear)

TheVariabletypeEntityconcernsthetypeofeachentryandinspecific,whetheritiscomesfroman external source (exogenous), whether it is produced by MEDEAS model (endogenous), orwhetherthisisnotclear.Thistableconsistsonlyofthevariabletype’sIDanditstitle.

Table14.QUANTITY


id Integer Identificationcodetitle String Titleofthequantity(e.g.Energy)baseunit Integer Theunit thatweconsiderasdefault for thisphysicalquantity (e.g.

kWhforenergy).Itreferstocolumn‘id’oftableUNIT.

TheQuantityEntityconcernsthephysicalgroupintowhicheachentrybelongs.Thatis,eachentryinthedatabasebelongstoagroup,whichhassomespecificcharacteristics,mainlyreferringtothemeasurement units. For example, “Final Energy Consumption” entry belongs to the QuantityEntity“Energy”.EachQuantityconsistsofanID,itstitle,aswellasabaseunit.Thebaseunitistheunitcharacterizingthisquantity.AllentriesbelonginginthesamequantitycanbetransformedtotheQuantity’sbaseunit,throughaspecifiedconversionfactor.

Table15.UNIT


id Integer Identificationcodetitle String Titleoftheunit(e.g.kWh)

TheUnitEntityconcernsallunitsavailable in thedatabase,whether theyarebaseunitsornot.Thistableconsistsoftheunit’sIDanditstitle.



37

Table16.UNITQUANTITY

Columnname

Type Description

id Integer Identificationcodequantity Integer Itreferstocolumn‘id’oftableQUANTITY.unit Integer Itreferstocolumn‘id’oftableUNIT.multiplier Double Thenumberwithwhichwemustmultiplyavaluegiveninaunitrepresentedby

the ‘unit’ column, so thatwe have a value expressed in the base unit of thequantityrepresentedbythe‘quantity’column.

TheUnitquantityEntitypracticallycorrespondseachunittoaquantity,throughatransformationequation (or conversion factor). That is, all units available in the database belong to a specificquantity and they can be converted to the quantity’s base unit through amultiplier. This tableconsists of the Unitquantity’s ID, the unit table, the quantity table and the conversion factor(multiplier)betweenthespecificunitandthequantity’sbaseunit.

Table17.MODEL


id Integer Identificationcodetitle String Titleofthemodel(World,European,AustriaorBulgaria)

TheModel Entity concerns the actualmodel and consists of an ID and themodel title (World,European,AustriaandBulgaria).

Table18.METADATA

Columnname

Type Description

id String Variablecode.Thisisuniqueandreferstocolumn‘id’oftableVARIABLE.source String

AsdefinedinSection2.

source_update Stringidentifier Stringreliability Doublelicense Stringdata_period Stringcollection_dt Datecomments String

Eachentrymusthaveauniquerowofmetadata.If,forexample,therearetwodifferentsourcesforanentry,thentheyshouldeitherbothbeincludedinthesamemetadataroworanewentry



38

must be created (meaning a entry with a new id), which differs from the first in the ‘source’columnofthe‘METADATA’table,andprobablyhasatitlethatdistinguishesthetwoentries.

Table19.VALUE

Columnname

Type Description

id Integer Identificationcodevariable String Entryidentificationcode.Itreferstocolumn‘id’oftableVARIABLE.model Integer Whichlevel(World,European,AustriaorBulgaria)thevalueoftheentryrefers

to.Itreferstothecolumn‘id’oftableMODEL.time Integer Whichyearthevalueoftheentryrefersto.value Double Thevalueoftheentryforthegivenmodelandyear.

Thecombinationoffields“variable”,“model”,“time”isunique.Thismeansthattherecanbeonlyonevalueforacertainentry inaspecificmodel(World,European,etc.)and inacertainyear. Ifthere is a second value for the same entry, samemodel and same year, a new entrymust becreated(meaningaentrywithanewid),whichwillholdthesecondvalue.

TheSQLscriptsusedtocreatetheabovedescribeddatabaseschemacanbefoundinAnnexV.

3.3MiddleLayerDescriptionThissectiondescribesinmoredetailthemiddlelayeroftheDBMS,i.e.thefunctionalitywhichwillmanagethedatabasethatwillholdthedatacollected,elaboratedandgeneratedwithinMEDEASproject. Functionality is accomplished by certain procedures, in the form of JSF postbacks andthrough the use of the Java Persistence API (JPA) for themanagement of data. Details can befoundin3.5TechnicalDescriptionbelow.

Below,thereisashortdescriptionoftheabove-mentionedfunctionality.

Two main types of users will be able to use the web application, the public users and theadministrators.Thespecific functionalities foreachuser typewillbedescribedseparately in thefollowingsections.

3.3.4PublicFunctionalityPublicusershavetheabilitytoretrievedatafromtheMEDEASdatabaseintwodifferentways,asdescribedbelow:



39

First, if the userwants to view or download all data contained in a specificmodel, the he canselect a model (World, EU, Austria or a Bulgaria) and retrieve the data needed for reportgeneration.Thedatawill come in the formofa table shown in thewebapplicationandwillbedownloadableintheformofExcel,csvorxml.

Second, if theuseronlywants toviewordownloadacertainpartof thedatabase, thenhecanselect one ormore entries (by defining search criteria on the entries or by clicking on certainentries)andretrievethedatafortheseentries.Thedatawillcomeeither intheformofatable(showninthewebapplicationordownloadableasabove),or intheformofgraphsshowingthetimeseriesofthevaluesforeachselectedentry.

3.3.5AdministratorFunctionalityAdministrators have additional abilities to the above considering the management of allinformationincludedinMEDEASdatabase.Inspecific,anadministratorisableto:

- Seealistofthedataforalltheentitiesofthedatabase.

- Editthedataforalltheentitiesofthedatabase.

- Createnewrecordsforalltheentitiesofthedatabase.

- Specifically, create new entries. In this case, the user inserts data for the new entry(title,topic,type,quantity)anddefinesthepositionofthenewentryintheentrytree(definingthefatherorthegrandfatheroftheentry, if itexists).Theapplication,then,producesautomaticallyanIDforthenewentryandstoresitinthedatabase.

- Insert themaindata,meaning thevalueofa certainentry fora certainmodelandacertainyear.Thiscanbeaccomplishedbytwodifferentmethods.First,theuserisabletoinsertdatabyusingaspecificform.Bythisway,theuserisabletoinsertdataonlyforoneentryandoneyeareachtime.Iftheuserwantstoinsertbatchdata,hecandosobyuploading anexcel file. Theapplicationwill read this file and store all relevantdata in the database. In order to do that, without the risk of mistakes, an exceltemplatemustbedownloadedfromtheapplicationinadvanceonwhichtheuserwillbebasedtouploadnewdata.

Theadministratorswillhaveauthorizedaccess(usernamesandpasswordsthatwillbeprovided)incertainpartsoftheapplication(theonesrelatedtotheextrafunctionalitiesdescribedabove).



40

3.4FrontendDescriptionThissectiondescribesindetailthefinalactionoftheWebDatabaseManagementSystemandinspecific the development of the front end, i.e. theweb interface for the application that CRESdeveloped tomanage thedatabase thatwill hold thedata collected, elaboratedandgeneratedwithintheMEDEASproject.TheinterfacewasdevelopedwiththeJavaServerPagespackageandmorespecifically,usingthePrimeFaceslibrary.

3.4.1IndexPageThefirstpageoftheapplicationistheindexpage,whichholdstwolinks(Figure5).

Figure5.Indexpage

Eachoneof them, leads theuser tooneof the twosections (publicoradministrator)describedbelow.



41

3.4.2PublicSectionThe public section of the web application will be open to any user that registers in MEDEASwebsiteandconsistsofonepagethat iscalledViewData.Here,theusercanretrievedatafromthedatabaseandviewthemindifferentforms(Figure6).

Figure6.PublicSection

Therearetwotabsinthispage,representingthetwodifferentwaysthatausercanusetosearchforentries.

3.4.2.1SelectEntriesfromTreeoptionThe first tab isusedtochooseanentry fromtheentries tree.Asalreadymentionedpreviously,entriesarestoredinthedatabaseintheformofatree,meaningthatanentrycanhavechildrenandachildcanhavechildrenofitsown(thereareuptothreelevelsinthetree).Therefore,aftertheuserchoosesoneormoreentriesfromthetree(multipleselectionscanbedoneusingtheCtrlkey),hemustselectamodel(World,Europeetc.)andadataperiodforwhichhewantstoviewthedata(Figure7).



42

Figure7.SelectanentryfromTreeview

Finally,theusercanclickononeofthethreebuttonsinthebottom.Thefirstoneisforshowingthedataintabularform(Figure8),thesecondoneisforshowingdatainalinegraphandthethirdoneisforshowingthemetadatafortheselectedentries.



43

Figure8.SelectanentryfromTreeresults

3.4.2.2SelectEntrieswithCriteriaoptionThesecond tab isused toselectentriesbasedoncertaincriteria (Figure9).Theusercan insertcriteriaforthemodelandthetopic,orsearchforanentrywiththeentryIdorapartoftheentrytitle. Finally, he can search for datawithin a certain data period. None of the above criteria ismandatory. If the user leaves a criterion blank, the search is performed ignoring this type ofcriteria.Thatis,ifallcriteriaareleftblank,theapplicationwillshowallthedataofthedatabase.Inthistab,theusercanchoosetoviewtheselecteddatainatabularformorviewmetadatafortheselectedentries.



44

Figure9.SelectanentrywithCriteriaview

All the tabular views of data or metadata allow the user to download the data that they arecurrentlyviewingtothreedifferent forms:XLSX,XMLandCSV,byclickingonthecorrespondingicons.

3.4.3AdministratorSectionTheadministratorsectionofthewebapplicationconsistsofamainpageandseveralotherpages,aswellasamenu.Inordertoviewthemainpageandthemenu,theapplicationwillasktheuserforavalidusernameandpassword.

In themainpage, theuser sees three linksandabutton (Figure10),namely “ManageEntries”,“ManageData”,“UploadExcel”and“DownloadExcelTemplate”.



45

Figure10.Administratormainpage

3.4.3.1ManagingDataTherearetwowaysforauserto insertdata(i.e.valuesforcertainentries) inthedatabase.Thefirstwayisdescribedinthefollowing.Whenthebutton“DownloadExcelTemplate”isclicked,theapplicationreadsthedatabaseandexportsdatainanexcelfilewithacertainstructure,calledtheExcel Template. This template in each sheet contains all the Topics, the Regions, the VariableTypes, theUnits and the Entries of the database, at themoment that the user downloaded it.Moreover, it includes two blank sheets, for the data and themetadata. The user can use thistemplate to upload data and store them in the database. This can be achieved, by clicking the‘UploadExcel’linkofthemainadminpage.Theapplicationopensanotherpage,whichallowstheusertouploadanExcelfileandsubmitthecontaineddatatothedatabase.

Thesecondwayforausertoinsertdataismanuallythroughthe“Managedata”link.Byclickingthis link,theapplicationopensa listofallthevalues(i.e.allthedata)storedinthedatabase. Inthispage,theuser,exceptforviewingdatausingproperfilters,canalsocreateanewvalue(i.e.insertnewdata)oreditanexistingvalue(i.e.updatedata)(Figure11).



46

Figure11.ManageDatapage

In order to create a new value, the usermust select an entry and amodel, insert the year forwhichthedatawillbestoredandfinally,insertthedesiredvalue(Figure12).

Figure12.CreateNewValueform

Inordertoupdatedata,theusermustselectarecordfromthelistandpresstheEditbutton.Inthe opened form, he can only change the value for the certainmodel, entry and year. The oldvalueisstoredinahistorytableforhistoricalpurposes(Figure13).



47

Figure13.EditValueform

3.4.3.2ManagingEntriesSimilarlytodata,theusercanalsomanageentries.Whenthe‘ManageEntries’linkisclicked,theapplicationopensalistwithalltheentriesstoredinthedatabase.There,theusercanviewentries(withfilters),createanewentryoreditanexistingone(Figure14).

Figure14.ManageEntriespage



48

SpecialreferencemustbemadetotheCreateEntryform.Inthisform,theusercaninsertthetitleofthenewentryandselectthelevelofthenewentryintheentrytree,byselectingitsparentorgrandparent(Figure15).So,ifthefirstandthesecondleveldropdownmenusoftheformarenotfilled, the new entry will be of first level (meaning that it does not have any parent orgrandparent).Iftheuserselectsaentryfromthefirstleveldropdownmenu,thenthenewentrywillhavetheselectedentryasparent.Similarly,iftheuserselectsaentryfromthefirstleveldropdownmenu and another one from the second level dropdownmenu, then the newentrywillhavethefirstentryasgrandparentandthesecondoneasparent.Whentheuserpresses‘Save’,theapplicationautomaticallygivesanew ID to thecreatedentry.The ID is constructed in suchmannerthatreflectstheplaceoftheentryinthetree.Forexample,ifthenewentryisachildofaentry with ID 29.00.00 and this parent has three other children with IDs 29.01.00, 29.02.00,29.03.00,thenthenewentrywillobtaintheID29.04.00.

Figure15.CreateNewEntryform

3.4.3.3MaintenanceFinally, the administrator users can see a drop down menu at the top of the page, calledMaintenance,whichcontainslinkstolistsoftherecordsoftheremainingtablesofthedatabase(Figure 16). From there, the user can view, update or create new records in the Topic,Model,VariableType,Unit,QuantityandUnit-Quantitytables(thestructureandfieldsofthesetablesaredescribedin3.2.1Tablesdescription).



49

Therefore, if the user wants to view the Topics of the database, he selects ‘Topic’ from theMaintenancemenu.TheapplicationopenstheTopic list form.There,theusercancreateanewtopic, edit the title of an existing topic or delete a topic. The same functionality applies to theremainingitemsoftheMaintenancemenu.

Figure16.Maintenancedrop-downmenu

3.4.5DataUpdateProcedureThe standard procedure thatmust be followed, in order to insert newdata in the database, isdescribedinthefollowing.

Ifthenewdatarefertoanexistingentry,thentheusercaninsertthemeitherbytheCreateValueformorbyuploadinganexcelfile.

If thenewdatadonot refer toanexistingentry, then theusermust first create thenewentryusingtheCreateEntryformoftheapplication.ThenhemustdownloadthenewExcelTemplatethatcontainsthenewentry,fillitwithdataanduploaditasdescribedabove.

Duringthecreationofanewentry,theusermustselectatopic,atypeandaquantityforthenewentry.Inordertodoso,thecorrespondingentitymustbealreadyavailableinthedatabase.Thatis,if,forexample,thetopicofthenewentrydoesn’texist,theusermustfirstcreateitbyusingtheCreateTopicformoftheapplication.

3.4.6SuperUserRoleAsmentionedpreviously,administratorshaveextraabilitiesregardingthemanagementofdataofMEDEAS database. The application defines one more type of user role, the super user. Whensomeoneenters theadministrator sectionwith superuser credentials,he canalso seea link topagesusedtoview,createandedittheexistingusersofthedatabase.



50

3.5TechnicalDescriptionThe MEDEAS Database Management System was implemented using various tools andtechnologies.

Firstofall,thedatabaseitselfisrunningonaMariaDBdatabaseserver.TheApplicationServerofthewebapplicationisApacheTomcat8,whichisrunningonanApachewebserver.

Thewebapplication (middleand front layer)weredevelopedunder theNetBeans8.2 IDEusingtheJPAandJSFtechnologies.TheNetbeansprojectstructurecanbeseeninFigure17below.

Figure17.Netbeansprojectstructure



51

The Java Persistence API (JPA) is a Java application programming interface specification thatdescribesthemanagementofrelationaldatainapplicationsusingJavaPlatform,StandardEditionandJavaPlatform,EnterpriseEdition.

Persistenceinthiscontextcoversthreeareas:

• theAPIitself,definedinthejavax.persistencepackage;

• theJavaPersistenceQueryLanguage(JPQL);

• object/relationalmetadata.

The reference implementation for JPA isEclipseLink.EclipseLink isanopen-sourcemappingandpersistenceframeworkforuseinaJavaenvironment.

JPA is the Java API for object/relational mapping (ORM), where Java objects are mapped todatabaseartifacts, forthepurposeofmanagingrelationaldata inJavaapplications.JPA includesJava PersistenceQuery Language (JPQL), the Java Persistence Criteria API and the JavaAPI andXMLschemafordefiningobject/relationalmappingmetadata.

Java Server Faces (JSF) is a Java specification for building component-based user interfaces forwebapplications

JSFsimplifiesthecreationofWebapplicationsbyprovidingastandardsetoftools(oranAPI)forbuilding user interfaces. For example, instead of coding aWeb form inHTML, a developer caninsteadcallasimple JSF functionthatgenerates the form.Another JSF functionmaybeusedtoprocess the data entered by the user. These functions are processed on the server and theresulting data is output to the client's browser. JSF benefits developers by providing reusableobjectsthatcaneasilybeinsertedintowebpages.However,thesecomponentsarealsobeneficialto website visitors since they produce standardized interface elements. Since the Java code isprocessed on the server, the appearance of the generated Web objects is consistent acrossmultiplewebsites.Additionally, JSF components are testedonmultipleplatforms, so theyworkwell in all major browsers. While JSF is often used to create basic webpage elements, it alsosupports advanced features, such as database access, Ajax interaction, and JavaScript pageactions.Thesecapabilitiesareusefulforbuildingdynamicwebsitesthatgeneratepageson-the-fly.For the MEDEAS application front end, a special JSF library, called PrimeFaces, was used. Thefollowingdiagram in Figure18 schematically represents thearchitectureused for implementingtheMEDEASDatabaseManagementSystemwiththeabovementionedtools.



52

Figure18.MEDEASDatabaseManagementSystemarchitecture

3.5.1StatisticsofsourcecodefilesCRESusedtheprogramLOCMetricsforthequantitativestatisticsofsourcecodefiles.Theoutput,insummary,asper31July2017,isreportedinthefollowingtable,asdepictedinFigure19.

Figure19.QuantitativestatisticsofsourcecodefilesforthedevelopmentofMEDEASDatabase

Thedistributionofphysicalexecutablecode in folders is reported in thegraph illustrated inpiebelow:



53

Figure20.DistributionofphysicalexecutablecodeinfoldersforthedevelopmentofMEDEASDatabase.

DetailedlistsoftheLinesOfCodestatisticscanbefoundinANNEXVIofthisreport.



54

Topic id Entries Unit Source Link Dataperiod

Datecollection

Comments

Socioeconomic

1.00.00 GDP(Finaldemand)

million$(1995)

WIOD http://www.wiod.org/database/wiots13

1995-2009 17/05/2017 Originalsourceincurrentprices.Owncalculations.Worldaggregatedandsectoraldisaggregated.Chainedvolumesprices(1995)

onthebasisofIOTatpreviousyrprices.Socioeconomic

2.00.00 Production million$(1995)


1995-2009 17/05/2017 Originalsourceincurrentprices.Owncalculations.Worldaggregatedandsectoraldisaggregated.Chainedvolumesprices(1995)

onthebasisofIOTatpreviousyrprices.Socioeconomic

3.00.00 Inequalityindicators

% WIOD-SocioEconomicAccounts

http://www.wiod.org/database/seas13

1995-2009 17/05/2017 Owncalculations.Incomeshare:factorincome/GDP

Socioeconomic

3.01.00 LaborshareinGDP



1995-2009 26/04/2017 Owncalculations.Labourcompensation/GDP.

Socioeconomic

3.02.00 ProfitshareinGDP



1995-2009 26/04/2017 Owncalculations.Capitalcompensation/GDP.

Socioeconomic

4.00.00 Income million$(1995)

WIOD-SocioEconomicAccounts


1995-2009 17/05/2017 Originalsourceincurrentpricesandnationalcurrency.RateexchangeinWIOD-SEA.Worldaggregated.Assumption:RestoftheWorld

regionhasthesameprimaryincomedistribution.

Socioeconomic

4.01.00 Labourcompensation

million$(1995)



1995-2009 17/05/2017

ANNEXI.WORLDMEDEASMETADATA



55


Datecollection

Comments

Socioeconomic

4.02.00 Capitalcompensation

million$(1995)



1995-2009 17/05/2017

Socioeconomic

5.00.00 Population inhabitants WorldBank

http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.

ELC.PETR.ZS&country=#

1960-2015 21/04/2017

Socioeconomic

6.00.00 Lifeexpectancyatbirth

yr WorldBank



1960-2015 21/04/2017

Socioeconomic

7.00.00 Urbanpopulation

inhabitants WorldBank



1960-2015 21/04/2017

Socioeconomic

8.00.00 Ruralpopulation

inhabitants WorldBank



1960-2015 21/04/2017

Socioeconomic

9.00.00 Unemploymentrate

%oftotallabourforce

WorldBank



1991-2016 21/04/2017

Socioeconomic

10.00.00 Energydependency

% WorldBank

http://data.worldbank.org/indicator/EG.IMP.CONS.ZS

1960-2014 16/05/2017 Netenergyimports/Energyuse.Anegativevalueindicatesthatthecountryisanet

exporter.

Socioeconomic

11.00.00 Technicalcoefficients

Ratioinput($)/output($

)


1995-2009 17/05/2017 OnceworldInput-Outputtableiscompiledat1995prices,weobtaintheratiobetweenthe

sectoraltransactionandtheoutputbycolumns.



56


Datecollection

Comments

Socioeconomic

12.00.00 Finalenergyconsumptionpercapita

kgoe/capita Ownelaborationwithdatafromthe

IEA

http://data.worldbank.org/indicator/EG.USE.PCAP.KG.OE

1971-2014 21/04/2017

Resources-

Economy

13.00.00 Waterconsumption

m3/yr WIOD-Environmental

Accounts

http://www.wiod.org/database/eas13

1995-2009 28/04/2017 Worldaggregated.

Resources-

Economy

14.00.00 WATERINTENSITY

m3/$(1995) Owncalculationsonthebasisof

WIOD-Environmental

accounts


1995-2009 28/04/2017 Owncalculations.Owncalculations:Waterconsumption(m3)/Production(million$1995)

Resources-

Economy

15.00.00 Materialconsumption

ton/hab*yr FriendsoftheEarthAustria

Overconsumption?OuruseoftheWorld'snatural

resources

https://www.foe.co.uk/sites/default/files/downloads/overconsumption.

pdf

1980198519901990

2000

28/04/2017

Resources-

Economy

16.00.00 PrimaryEnergyIntensity

TJ/$(1995) Owncalculationsonthebasisof

WIOD-Environmental

accounts


1995-2009 08/05/2017 Owncalculation.Worldaggregated,sourceandsectordisaggregated.PrimaryEnergy

Consumption(TJ)/Production(million$1995)

Resources-

Economy

17.00.00 FinalEnergyIntensity


WIOD-Environmental

accounts


1995-2009 04/05/2017 Owncalculation.Worldaggregated,sourceandsectordisaggregated.FinalEnergy




57


Datecollection

Comments

Landuse 18.00.00 Foodland kha (FAO)StatisticsDivision(ESS),EnvironmentStatisticsteam

http://www.fao.org/faostat/en/?#data/RL

1961-2014 28/04/2017 ITEM:Agriculturalarea

Landuse 19.00.00 Forestland Km2 WorldBankForestArea,World

Bank

http://data.worldbank.org/INDICATOR/AG.LND.FRST.K2?VIEW=CHART

1990-2015 21/04/2017 Forestareaislandundernaturalorplantedstandsoftreesofatleast5metersinsitu,

whetherproductiveornot,andexcludestreestandinagriculturalproductionsystems(forexample,infruitplantationsandagroforestrysystems)andtreesinurbanparksandgardens.

NALanduse 20.00.00 Biodiversity

protectionlandKm2 WorldBank http://data.worldbank.org/INDICAT

OR/ER.LND.PTLD.ZS

1990,2000,2014

02/05/2017 Terrestrialprotectedareasaretotallyorpartiallyprotectedareasofatleast1,000hectaresthataredesignatedbynational

authoritiesasscientificreserveswithlimitedpublicaccess,nationalparks,natural

monuments,naturereservesorwildlifesanctuaries,protectedlandscapes,andareasmanagedmainlyforsustainableuse.Marineareas,unclassifiedareas,littoral(intertidal)areas,andsitesprotectedunderlocalor

provinciallawareexcluded.Landuse 21.00.00 Urbanland

areaKm2 WorldBankUrban

LandArea,WorldBank

http://data.worldbank.org/INDICATOR/AG.LND.TOTL.UR.K2

1990,2000,2010

21/04/2017 Urbanlandareainmegahectares,basedonacombinationofpopulationcounts(persons),settlementpoints,andthepresenceofnight-timelights.Areasaredefinedasurbanwherecontiguouslightedcellsfromthenight-time

lightsorapproximatedurbanextentsbasedonbufferedsettlementpointsforwhichthetotal



58


Datecollection

Comments

populationisgreaterthan5,000persons.Urbannoturbanizedland,givesthesame

numberfor1990,2000and2010

Landuse 22.00.00 Biofuelandbioelectricity

land

Mha Capellánetal.Deliverable

D2.2.e.4(annex12)

NA 2008,2010

02/05/2017 Landforbiofuelestimationonlybiofuelsfromagriculture,bioelectricityissupposedfrom

wasteandforestresidues

Landuse 23.00.00 Arableandcropland,%

totallandarea

% OECD.Greengrowthindicators

http://stats.oecd.org/Index.aspx?DataSetCode=GREEN_GROWTH

1990-2014 17/04/2017

Landuse 24.00.00 Pasturesandmeadows,%totallandarea



1990-2014 17/04/2017

Landuse 25.00.00 Forest,%totallandarea



1990-2014 17/04/2017

Landuse 26.00.00 Otherland,%totallandarea



1990-2014 17/04/2017


27.00.00 FinalEnergyConsumption

(FEC)

EJ OwnelaborationwithdatafromtheIEAandWIOD


1995-2009 18/05/2017 SectorialaggregatedusingWIODandIEA.

Materials

28.00.00 Mineralproduction

ton UnitedStatesGeologicalSurvey

(USGS)

https://minerals.usgs.gov/minerals/pubs/mcs/

1994-2016 25/05/2017 Dataforyear2016isestimated.Lithium,MagnesiumandTitaniumexcludesU.S.production.Dataforhistoricalseriesfor

manganeseisalsoestimated.



59


Datecollection

Comments

Materials

29.00.00 KgmaterialpernewMWinstalled

(constructionphase)

kg/newMW DeliverableMEDEAS

2015 25/05/2017 Technologyandmaterialdisaggregated.

Materials

30.00.00 KgmaterialpernewMWinstalled

(Operationandmaintenance)

kg/newMW DeliverableMEDEAS

2015 25/05/2017 Technologyandmaterialdisaggregated.

Materials

31.00.00 Initialenergyconsumptionperunitofmaterial

consumption

MJ/Kg DeliverableMEDEAS

2015 25/05/2017

Materials

31.01.00 Virgin MJ/Kg DeliverableMEDEAS

2015 25/05/2017 Virginmaterials.

Materials

31.02.00 Recycled MJ/Kg DeliverableMEDEAS

2015 25/05/2017 Recycledmaterials

Materials

32.00.00 Totalreserves Mt DeliverableMEDEAS

2015 25/05/2017 Forfurtherinformation,consultDeliverable2.2.c.2Materialdisaggregated.

Materials

33.00.00 TotalResources Mt DeliverableMEDEAS

2015 25/05/2017 Forfurtherinformation,consultDeliverable2.2.c.2.Materialdisaggregated.



60


Datecollection

Comments

Emissionand

Climate

34.00.00 CO2emissionsfromdifferent

activities

GtCO2 ClimateChange2014

MitigationofClimateChangeWorkingGroupIIIContributiontotheFifthAssessmentReportofthe

IntergovernmentalPanelonClimate

Change

http://www.ipcc.ch/report/ar5/wg3/

1970,1980,1990,2000,2010

19/04/2017 Chapter5:Drivers,trendsandmitigationdatasourceFigure5.18(Page381)

Emissionand

Climate

34.01.00 TotalCO2emissionsfrom

fossilfuelconsumptionandcementproduction

GtCO2 CarbonDioxideInformation

AnalysisCenter(CDIAC)

http://cdiac.ornl.gov/ 1990-2013 18/04/2017

Emissionand

Climate

34.02.00 CO2emissionsfromcementproduction

GtCO2 GlobalCarbonProject

http://www.globalcarbonproject.org/CARBONBUDGET/16/data.htm

1960-2015 17/04/2017 Allvaluesinmilliontonnesofcarbonperyr(MtC/yr).1MtC=1milliontonneofcarbon=

3.664milliontonnesofCO2

Emissionand

Climate

34.03.00 LandusechangeCO2emissions

GtCO2 GlobalCarbonPorject

http://www.globalcarbonproject.org/CARBONBUDGET/16/data.htm

1960-2015 17/04/2017

Emissionand

Climate

34.04.00 LandusechangeCO2emissions

GtCO2 CarbonDioxideInformation





61


Datecollection

Comments

Emissionand

Climate

34.05.00 RESemissions GtCO2 OwnestimationwithdatafromIEACO2emissionsfromFUEL

COMBUSTIONHIGHLIGHTS2016

http://www.iea.org/media/statistics/CO2HIGHLIGHTS.XLS

http://www.iea.org/publications/freepublications/publication/CO2EmissionsfromFuelCombustion_Highlights

_2016.pdf

1971-2014 19/04/2017 ExceltableswithannualhistoricalseriesofCO2emissionsfromfuelcombustion.ThesedatarefertoCO2onlyemissions(notallGHG

emissions)andemissionsfromfuelcombustiononly(notfromallprocesses,i.e.fugitive

emissionsandemissionsfromCO2transportandstorage)

Emissionand

Climate

34.06.00 NonRESemissions

GtCO2 OwnestimationwithdatafromIEACO2emissionsfromFUEL

COMBUSTIONHIGHLIGHTS2016

http://www.iea.org/media/statistics/CO2HIGHLIGHTS.XLS

http://www.iea.org/publications/freepublications/publication/CO2EmissionsfromFuelCombustion_Highlights

_2016.pdf

1971-2014 19/04/2017 ExceltableswithannualhistoricalseriesofCO2emissionsfromfuelcombustion.ThesedatarefertoCO2onlyemissions(notallGHG

emissions)andemissionsfromfuelcombustiononly(notfromallprocesses,i.e.fugitive

emissionsandemissionsfromCO2transportandstorage)

Emissionand

Climate

35.00.00 Nitrousoxideemissions

thousandmetrictonsofCO2

equivalent

WorldBank.European

Commission,JointResearchCentre(JRC)/NetherlandsEnvironmentalAssessmentAgency(PBL).

EmissionDatabaseforGlobal

AtmosphericResearch(EDGAR):http://edgar.jrc.ec.

europa.eu/

http://databank.worldbank.org/data/reports.aspx?source=world-development-indicators#

1970-2012 18/04/2017 Nitrousoxideemissionsareemissionsfromagriculturalbiomassburning,industrial

activities,andlivestockmanagement.DataarecalculatedinGtCO2eq



62


Datecollection

Comments

Emissionand

Climate

36.00.00 INCREASEINTOTAL

RADIATIVEFORCINGINRELATIONTO

PRE-INDUSTRIAL

LEVELS

W/m2 TheNOAAAnnualGreenhouseGasIndex(AGGI).NOAAEarth

SystemResearchLaboratory,R/GMD,325Broadway,

Boulder,CO80305-3328

https://www.esrl.noaa.gov/gmd/aggi/aggi.html

1979-2015 18/04/2017

Emissionand

Climate

37.00.00 CH4EMISSIONS GtCO2eq WorldBank.European

Commission,JointResearchCentre(JRC)/NetherlandsEnvironmentalAssessmentAgency(PBL).

EmissionDatabaseforGlobal

AtmosphericResearch(EDGAR):http://edgar.jrc.ec.

europa.eu/

http://databank.worldbank.org/data/reports.aspx?source=world-development-indicators#

1970-2012 18/04/2017 Methaneemissionsarethosestemmingfromhumanactivitiessuchasagricultureandfrom

industrialmethaneproduction.DataarecalculatedinGtCO2eq

Emissionand

Climate

38.00.00 CO2concentration

levels

ppm NASA.GlobalClimateChange

https://climate.nasa.gov/vital-signs/carbon-dioxide/

1960-2015 04/05/2017 Partspermillion(ppm)isthenumberofmoleculesofCO2ineveryonemillion

moleculesofdriedair(watervapourremoved).Emission

and39.00.00 Globalmean

temperatureºC NASA.Global

ClimateChangehttps://climate.nasa.gov/vital-signs/global-temperature/

1960-2015 04/05/2017 Changeinglobalsurfacetemperaturerelativeto1951-1980averagetemperatures



63


Datecollection

Comments

Climate increase

Emissionand

Climate

40.00.00 GHGEmissions

Emissionand

Climate

40.01.00 ExcludingLand-UseChangeandForestry(Datosdeinputs.xls)

GtCO2eq CarbonDioxideInformation



Emissionand

Climate

40.02.00 IncludingLand-UseChangeandForestry(Datosdeinputs.xls)

GtCO2eq CarbonDioxideInformation



Emissionand

Climate

40.03.00 OtherGHGradforcing

W/m2 baselinescenariofromDICE-2013R

http://www.econ.yale.edu/~nordhaus/homepage/documents/DICE_Ma

nual_100413r1.pdf

1990-2015 20/04/2017

Emissionand

Climate

40.04.00 GtCO2perMtoeCTL

GtCO2/MJ BrandtandFarrell(2007)

http://rdcu.be/r5QG 1960-2015 19/05/2017

Emissionand

Climate

40.05.00 GtCO2perMtoeGTL


http://rdcu.be/r5QG 1960-2015 19/05/2017

Emissionand

Climate

40.06.00 GtCO2perMtoecoal

GtCO2/MJ BPStatisticalReviewofWorldEnergy(2013)

http://www.rrojasdatabank.info/bpworld2013.pdf

1960-2015 19/05/2017



64


Datecollection

Comments

Emissionand

Climate

40.07.00 GTCO2perMtoeconvgas



1960-2015 19/05/2017

Emissionand

Climate

40.08.00 GTCO2perMtoeconvoil



1960-2015 19/05/2017

Emissionand

Climate

40.09.00 GtCO2perMtoeunconv

gas

GtCO2/MJ Howarth(2015)Fig.2

http://www.eeb.cornell.edu/howarth/publications/f_EECT-61539-

perspectives-on-air-emissions-of-methane-and-climatic-

warmin_100815_27470.pdf

1960-2015 19/05/2017

Emissionand

Climate

40.10.00 GtCO2perMtoeunconv

oil


http://rdcu.be/r5QG 1960-2015 19/05/2017

Emissionand

Climate

40.11.00 GtCO2perMtoeshaleoil


http://rdcu.be/r5QG 1960-2015 22/05/2017

Emissionand

Climate

40.12.00 GtCH4/MJconventionalgas(Datosdeinputs.xls)

GtCH4/MJ Howarth(2015)Fig2



warmin_100815_27470.pdf

1960-2015 10/05/2017



65


Datecollection

Comments

Emissionand

Climate

40.13.00 GtCH4/MJunconventionalgas(Datosdeinputs.xls)




warmin_100815_27470.pdf

1960-2015 10/05/2017

Emissionand

Climate

40.14.00 GtCH4/MJCoal(Datosdeinputs.xls)




warmin_100815_27470.pdf

1960-2015 10/05/2017

Emissionand

Climate

40.15.00 GtCH4/MJoil(Datosdeinputs.xls)




warmin_100815_27470.pdf

1960-2015 10/05/2017

Electricity

transformation

41.00.00 Hydroelectricitypumpedstoragecapacity

TWh U.S.EnergyInformation

Administrationand

IRENA

http://www.tsp-data-portal.org/Breakdown-of-Electricity-

Capacity-by-Energy-Source#tspQvChartand

http://resourceirena.irena.org/gateway/dashboard/?topic=3

subtopic=33

1980-2015 28/04/2017 U.S.EnergyInformationAdministration,(1980-2012)andIRENA(2013-2015)



66


Datecollection

Comments

Electricity

transformation

42.00.00 Hydroelectricitypumped

storageenergyproduction

TWh U.S.EnergyInformation

Administration

http://www.tsp-data-portal.org/Historical-Electricity-Generation-Statistics#tspQvChart

1980-2014 28/04/2017 U.S.EnergyInformationAdministration,(1980-2014)

Electricity

generationfromRES

variables

43.00.00 Installedcapacityof

electricalRES

TWh IRENARESOURCEandown

estimations

http://resourceirena.irena.org/gateway/dashboard/?topic=3

subtopic=33

1990-2015 12/06/2017 TheIRENArenewableenergysourceofinformationresourcehasbecometheworld's

largestrepositoryoffreeinformationonrenewableenergy.Itenablesuserstoeasilyfindcountry-specificdata,createcustomizedchartsandgraphs,andcomparecountriesonsuchmetricsasrenewableenergyuseand

deployment.NaElectricit

ygenerationfromRES

variables

44.00.00 ELECTRICITYCOSTFROM

RES

2016$/kW IRENARESOURCE http://resourceirena.irena.org/gateway/dashboard/?topic=3

subtopic=33

2010,2016

12/06/2017 TheIRENArenewableenergysourceofinformationresourcehasbecometheworld's

largestrepositoryoffreeinformationonrenewableenergy.Itenablesuserstoeasilyfindcountry-specificdata,createcustomizedchartsandgraphs,andcomparecountriesonsuchmetricsasrenewableenergyuseand

deployment.Onlyavailableforyear2010and2015

Electricity

generationfromRES

variables

45.00.00 RESLIFETIME yr IPCC(2011) 2014 12/06/2017



67


Datecollection

Comments

Energyhistoricaldata

46.00.00 pctCHPplantsvstotalheat

output

Dmnl Ownelaborationwithdatafromthe

IEA

http://www.oecd-ilibrary.org/energy/data/iea-world-

energy-statistics-and-balances_enestats-data-en

1995-2014 22/06/2017


47.00.00 PctgasinfossilCHPplants


IEA



1995-2014 22/06/2017


48.00.00 PctsolidsinfossilCHPplants


IEA



1995-2014 22/06/2017


49.00.00 PctliquidsinfossilCHPplants


IEA



1995-2014 22/06/2017


50.00.00 Extractionresources

EJ Mohretal.2015andown

elaborationwithdatafromtheIEA



1990-2014 22/06/2017


50.01.00 Unconventionaloil

EJ Mohretal.2015 http://www.sciencedirect.com/science/article/pii/S0016236114010254

1990-2012 22/06/2017


50.02.00 Unconventionalgas


1990-2012 22/06/2017



68


Datecollection

Comments


50.03.00 CTL EJ Ownelaborationwithdatafromthe

IEA



1990-2014 22/06/2017


50.04.00 GTL EJ Ownelaborationwithdatafromthe

IEA



1990-2014 22/06/2017


51.00.00 Shareresourcesbysector


IEA



1990-2014 22/06/2017


51.01.00 ShareoilElec Dmnl Ownelaborationwithdatafromthe

IEA



1990-2010 22/06/2017


51.02.00 Sharegasvs(coal+gas)Elec


IEA



1995-2014 22/06/2017


52.00.00 Alternativetransport

Dmnl EVIandIANGV http://www.iangv.org/current-ngv-stats/

2005-2015 22/06/2017


52.01.00 ShareBEV+HEV Dmnl EVI https://www.iea.org/publications/freepublications/publication/Global_E

V_Outlook_2016.pdf

2005-2015 22/06/2017 Table6



69


Datecollection

Comments


52.02.00 ShareNGV Dmnl IANGV http://www.iangv.org/current-ngv-stats/

2005-2012 22/06/2017


53.00.00 AnnualgenerationliquidsRES

ktoe BP http://www.bp.com/en/global/corporate/energy-economics/statistical-

review-of-world-energy.html

1990-2015 22/06/2017


53.01.00 Biofuels ktoe BP http://www.bp.com/en/global/corporate/energy-economics/statistical-


1990-2015 22/06/2017


54.00.00 CapacityinstalledRESfornon-

commercialheat

TWth Ownelaborationwithdatafromthe

IEA,SHC,Lund&Boyer



1990-2014 22/06/2017


54.01.00 SolidbioE-heat TWth Ownelaborationwithdatafromthe

IEA



1990-2014 22/06/2017


54.02.00 Solarforheat TWth SHC2016andowncalculations

http://www.iea-shc.org/ 1990-2014 22/06/2017


54.03.00 Geothermalforheat

TWth Lund&Boyer(2015)andowncalculation

Lund,JohnW.,andTonyaL.Boyd.“DirectUtilizationofGeothermal

Energy2015WorldwideReview.”InProceedingsWorldGeothermalCongress2015,31.Melbourne,

Australia,2015.

1990-2014 22/06/2017



70


Datecollection

Comments


55.00.00 CapacityinstalledRES

forcommercialheat

TWth Ownelaborationwithdatafromthe

IEA,SHC,Lund&Boyerandowncalculation


energy-statistics-and-balances_enestats-data-enhttp://www.iea-shc.org/

1990-2014 22/06/2017


55.01.00 SolidbioE-heat TWth Ownelaborationwithdatafromthe

IEA



1990-2014 22/06/2017


55.02.00 Solarforheat TWth SHC2016andowncalculations

http://www.iea-shc.org/ 1990-2014 22/06/2017


55.03.00 Geothermalforheat

TWth Lund&Boyer(2015)andowncalculation



Australia,2015.

1990-2014 22/06/2017


56.00.00 Nucleargeneration

TWh

TWh Ownelaborationwithdatafromthe

IEA



1990-2014 22/06/2017


57.00.00 Efficiencygasforelectricity

% Ownelaborationwithdatafromthe

IEA



1990-2014 22/06/2017



71


Datecollection

Comments


58.00.00 Electricityconsumption

TWh Ownelaborationwithdatafromthe

IEA



1990-2014 22/06/2017


59.00.00 Sharegasvs(coal+gas)heat


IEA



1995-2014 22/06/2017


60.00.00 Nonenergyuse EJ Ownelaborationwithdatafromthe

IEA



1995-2009 22/06/2017


60.01.00 Solids EJ Ownelaborationwithdatafromthe

IEA



1995-2009 22/06/2017


60.02.00 Liquids EJ Ownelaborationwithdatafromthe

IEA



1995-2009 22/06/2017


60.03.00 Gases EJ Ownelaborationwithdatafromthe

IEA



1995-2009 22/06/2017


60.04.00 Electricity/Heat EJ Ownelaborationwithdatafromthe

IEA



1995-2009 22/06/2017



72


Datecollection

Comments


61.00.00 Losses EJ Ownelaborationwithdatafromthe

IEA



1995-2009 22/06/2017


61.01.00 Coalpctlosses EJ Ownelaborationwithdatafromthe

IEA



1995-2009 22/06/2017


61.02.00 OILpctlosses EJ Ownelaborationwithdatafromthe

IEA



1995-2009 22/06/2017


61.03.00 NATGASpctlosses

EJ Ownelaborationwithdatafromthe

IEA



1995-2009 22/06/2017


62.00.00 Transformationlosses


IEA



1995-2014 22/06/2017


62.01.00 pclossestransformationvsextractionoil


IEA



1995-2014 22/06/2017


62.02.00 pclossestransformationvsextraction

coal


IEA



1995-2014 22/06/2017



73


Datecollection

Comments


62.03.00 Ratiogaingasvslosesolidsintranfprocesses


IEA



1995-2014 22/06/2017


63.00.00 TPESprimarysolidsbiofuels


IEA



1995-2014 22/06/2017


64.00.00 Waste EJ Industrialwaste+municipal

waste(renewable)+municipalewaste(non-renewable)OwnelaborationwithdatafromIEA

balances



1995-2014 22/06/2017


65.00.00 Efficiencies Dmnl Ownelaborationwithdatafromthe

IEA



1995-2014 22/06/2017


65.01.00 Heatplantsgas Dmnl Ownelaborationwithdatafromthe

IEA



1995-2014 22/06/2017


65.02.00 ElecCHPplantsgas


IEA



1995-2014 22/06/2017



74


Datecollection

Comments


65.03.00 HeatCHPplantsgas


IEA



1995-2014 22/06/2017


65.04.00 Heatplantscoal


IEA



1995-2014 22/06/2017


65.05.00 ElecCHPplantscoal


IEA



1995-2014 22/06/2017


65.06.00 HeatCHPplantscoal


IEA



1995-2014 22/06/2017


65.07.00 Heatplantsoil Dmnl Ownelaborationwithdatafromthe

IEA



1995-2014 22/06/2017


65.08.00 ElecCHPplantsoil


IEA



1995-2014 22/06/2017


65.09.00 HeatCHPplantsoil


IEA



1995-2014 22/06/2017



75


Datecollection

Comments


66.00.00 LossesinCharcoalplants


IEA



1995-2014 22/06/2017


67.00.00 Peat EJ Ownelaborationwithdatafromthe

IEA



1995-2014 22/06/2017


68.00.00 Biogases EJ Ownelaborationwithdatafromthe

IEA



1995-2014 22/06/2017

Historicconstant

s

69.00.00 BEV/HEVpastsharegrowth

% EVI2016 https://www.iea.org/publications/freepublications/publication/Global_E

V_Outlook_2016.pdf

1960-2015 28/06/2017

Historicconstant

s

70.00.00 NGVpastsharegrowth

% IANGV http://www.iangv.org/current-ngv-stats/

1960-2015 28/06/2017

Historicconstant

s

71.00.00 Biofuelspastgrowth

% BP(2016) http://www.bp.com/en/global/corporate/energy-economics/statistical-


1960-2015 28/06/2017

Historicconstant

s

72.00.00 HistgrowthCTL % OwnestimationfromIEAbalances



1960-2015 28/06/2017

Historicconstant

s

73.00.00 HistgrowthGTL % OwnestimationfromIEAbalances


energy-statistics-and-

1960-2015 28/06/2017



76


Datecollection

Comments

balances_enestats-data-en

Historicconstant

s

74.00.00 Hydropastcapacitygrowth

% IRENA http://www.irena.org/home/index.aspx?PriMenuID=12&mnu=Pri

1960-2015 28/06/2017

Historicconstant

s

75.00.00 Geothermalpastcapacity

growth


1960-2015 28/06/2017

Historicconstant

s

76.00.00 SolidbioE-elec % IRENA http://www.irena.org/home/index.aspx?PriMenuID=12&mnu=Pri

1960-2015 28/06/2017

Historicconstant

s

77.00.00 Oceanicpastcapacitygrowth


1960-2015 28/06/2017

Historicconstant

s

78.00.00 Windonshorepastcapacity

growth


1960-2015 28/06/2017

Historicconstant

s

79.00.00 Windoffshorepastcapacity

growth


1960-2015 28/06/2017

Historicconstant

s

80.00.00 SolarPVpastcapacitygrowth


1960-2015 28/06/2017



77


Datecollection

Comments

Historicconstant

s

81.00.00 CSPpastcapacitygrowth

% Ownelaborationbasedon

SolarPACESdata

https://www.nrel.gov/csp/solarpaces/

1960-2015 28/06/2017

Historicconstant

s

82.00.00 cumulatedconvoilextractionto

1995


1960-2015 28/06/2017

Historicconstant

s

83.00.00 cumulatedunconventionaloilextractionto

1995


1960-2015 28/06/2017

Historicconstant

s

84.00.00 cumulatedconvgasextraction

to1995


1960-2015 28/06/2017

Historicconstant

s

85.00.00 cumulatedunconventionalgasextraction

to1995


1960-2015 28/06/2017

Historicconstant

s

86.00.00 cumulatedcoalextractionto

1995


1960-2015 28/06/2017

Historicconstant

s

87.00.00 cumulateduranium

extractionto1995

EJ (EWG2006) http://www.ewg.org/ 1960-2015 28/06/2017

Historicconstant

s

88.00.00 pastsolargrowthforheat-com

% OwnestimationsfromIEAbalancesandSHC(2016)

SHC.“SolarHeatWorldwide.MarketsandContributiontothe

EnergySupply2014.”SolarHeating&CoolingProgrammeIEA,2016.

1960-2015 28/06/2017



78


Datecollection

Comments

Historicconstant

s

89.00.00 pastgeothermalgrowthforheat-com

% ownestimationsfromIEAbalancesandLund&Boyd

(2015)



Australia,2015.

1960-2015 28/06/2017

Historicconstant

s

90.00.00 pastsolidbioE-heat-com


IEA



1960-2015 28/06/2017

Historicconstant

s

91.00.00 pastsolargrowthforheat-nc


IEA



1960-2015 28/06/2017

Historicconstant

s

92.00.00 pastgeothermalgrowthforheat-nc

% SHC2016andownestimations

SHC.“SolarHeatWorldwide.MarketsandContributiontothe

EnergySupply2014.”SolarHeating&CoolingProgrammeIEA,2016.

1960-2015 28/06/2017

Historicconstant

s

93.00.00 pastsolidbioE-heat-nc

% Lund&Boyer(2015)andown

estimation



Australia,2015.

1960-2015 28/06/2017

Historicconstant

s

94.00.00 Cumulativeemissions1751-1995

GtC DatafromCDIACandWorld

ResourcesInstitut




79


Datecollection

Comments

Renewable&NuclearEnergyParamet

ers

95.00.00 Powerdensity TWe/Mha Capellán-Pérezetal(2017)

http://www.sciencedirect.com/science/article/pii/S1364032117304720

1960-2015 28/06/2017


ers

95.01.00 Geothermal TWe/Mha Capellán-Pérezetal(2017)


1960-2015 28/06/2017


ers

95.02.00 Windonshore TWe/Mha Capellán-Pérezetal(2017)


1960-2015 28/06/2017


ers

95.03.00 SolarPV TWe/Mha deCastroetal.(2013)


1960-2015 28/06/2017


95.04.00 Windoffshore TWe/Mha Capellán-Pérezetal(2017)


1960-2015 28/06/2017



80


Datecollection

Comments

ers


ers

95.05.00 Hydro TWe/Mha Capellán-Pérezetal(2017)


1960-2015 28/06/2017


ers

95.06.00 CSP TWe/Mha DeCastroetal(2013);DeCastro&Capellán-Pérez

(2017)

1960-2015 28/06/2017


ers

96.00.00 lifetime yr IPCC.SpecialReporton

RenewableEnergySourcesand

ClimateChangeMitigation.Edited

byOttmarEdenhofer,RafaelPichs-Madruga,YoubaSokona,KristinSeyboth,

PatrickMatschoss,SusanneKadner,TimmZwickel,et

1960-2015 28/06/2017



81


Datecollection

Comments

al.UnitedKingdomandNewYork

(USA):CambridgeUniversityPress,

2011.http://srren.ipcc-wg3.de/report.


ers

97.00.00 Capacityfactorinitial

Dmnl 1960-2015 28/06/2017


ers

97.01.00 Geothermal Dmnl REN212016 1960-2015 28/06/2017


ers

97.02.00 Solidbioenergyforelectricity

Dmnl Ownestimation 1960-2015 28/06/2017

Renewable&NuclearEnergy

97.03.00 Oceanic Dmnl Ownestimation 1960-2015 28/06/2017



82


Datecollection

Comments

Parameters


ers

97.04.00 Windonshore Dmnl Boccard(2009) http://www.sciencedirect.com/science/article/pii/S030142150900144X

1960-2015 28/06/2017


ers

97.05.00 SolarPV Dmnl BP(2016)andownestimation

http://www.bp.com/en/global/corporate/energy-economics/statistical-


1960-2015 28/06/2017


ers

97.06.00 Windoffshore Dmnl ownestimation 1960-2015 28/06/2017


ers

97.07.00 Hydro Dmnl IRENAandextrapolationfollowingEIA

(2009)

http://www.irena.org/home/index.aspx?PriMenuID=12&mnu=Pri

1960-2015 28/06/2017



83


Datecollection

Comments


ers

97.08.00 Nuclear Dmnl Ownelaborationwithdatafromthe

IEA

1960-2015 28/06/2017


ers

97.09.00 CSP Dmnl deCastro&Capellán-Pérez

(2017)

DeCastro,Carlos,andIñigoCapellán-Pérez.“AReviewoftheRealPerformanceofConcentrating

SolarPower.”WorkingPaper.UniversityofValladolid,2017.

1960-2015 28/06/2017


ers

97.10.00 solarforheat Dmnl Ownestimation 1960-2015 28/06/2017


ers

97.11.00 geothermalforheat



97.12.00 Solidbioenergyforheat

Dmnl ownestimation 1960-2015 28/06/2017



84


Datecollection

Comments

ers


ers

98.00.00 investmentcost 1995T$/TW RES:Teskeetal(2011)Nuclear:(SchneiderandFroggatt,2014).

1995,2007,2015

28/06/2017


ers

99.00.00 timeplanification

yr ownestimation 1960-2015 28/06/2017


ers

99.01.00 Geothermal yr ownestimation 1960-2015 28/06/2017


ers





85


Datecollection

Comments


ers

99.03.00 Oceanic yr ownestimation 1960-2015 28/06/2017


ers

99.04.00 Windonshore yr ownestimation 1960-2015 28/06/2017


ers

99.05.00 SolarPV yr ownestimation 1960-2015 28/06/2017


ers

99.06.00 Windoffshore yr ownestimation 1960-2015 28/06/2017


99.07.00 Hydro yr ownestimation 1960-2015 28/06/2017



86


Datecollection

Comments

ers


ers

99.08.00 Nuclear yr Schneider&Frogatt(2016)

http://www.worldnuclearreport.org/

1960-2015 28/06/2017


ers

99.09.00 CSP yr ownestimation 1960-2015 28/06/2017


ers

100.00.00 timeconstruction



ers

100.01.00 Geothermal yr ownestimation 1960-2015 28/06/2017



87


Datecollection

Comments


ers




ers

100.03.00 Oceanic yr ownestimation 1960-2015 28/06/2017


ers

100.04.00 Windonshore yr ownestimation 1960-2015 28/06/2017


ers

100.05.00 SolarPV yr ownestimation 1960-2015 28/06/2017


100.06.00 Windoffshore yr ownestimation 1960-2015 28/06/2017



88


Datecollection

Comments

ers


ers

100.07.00 Hydro yr ownestimation 1960-2015 28/06/2017


ers

100.08.00 Nuclear yr Schneider&Frogatt(2016)

http://www.worldnuclearreport.org/

1960-2015 28/06/2017


ers

100.09.00 CSP yr ownestimation 1960-2015 28/06/2017


ers

101.00.00 minCp Dmnl ownestimation 1960-2015 28/06/2017



89


Datecollection

Comments


ers

101.01.00 Geothermal Dmnl ownestimation 1960-2015 28/06/2017


ers




ers

101.03.00 Oceanic Dmnl ownestimation 1960-2015 28/06/2017


ers

101.04.00 Windonshore Dmnl ownestimation 1960-2015 28/06/2017


101.05.00 SolarPV Dmnl ownestimation 1960-2015 28/06/2017



90


Datecollection

Comments

ers


ers

101.06.00 Windoffshore Dmnl ownestimation 1960-2015 28/06/2017


ers

101.07.00 Hydro Dmnl ownestimation 1960-2015 28/06/2017


ers

101.08.00 Nuclear Dmnl ownestimation 1960-2015 28/06/2017


ers

101.09.00 CSP Dmnl ownestimation 1960-2015 28/06/2017



91


Datecollection

Comments


ers

102.00.00 EROIinitial Dmnl 1960-2015 28/06/2017


ers

102.01.00 Geothermal Dmnl Annex3fromMEDEASD2.1

1960-2015 28/06/2017


ers


Dmnl deCastroetal(2014)

1960-2015 28/06/2017


ers

102.03.00 Oceanic Dmnl ownestimation(Deliverable4.1)

1960-2015 28/06/2017


102.04.00 Hydro Dmnl Annex3fromMEDEASD2.1

1960-2015 28/06/2017



92


Datecollection

Comments

ers


ers

102.05.00 solarforheat Dmnl Ownestimation 1960-2015 28/06/2017


ers

102.06.00 Solidbioenergyforheat



ers

103.00.00 EmploymentfactorsRES

jobyr/MW Energy[G]eneration2015,GreenpeaceandREN21(2017)

1960-2015 28/06/2017

Otherparamet

ers

104.00.00 Energysharesbysector

Dmnl OwnestimationwithdatafromIEA

Balances

1960-2015 28/06/2017

Otherparamet

ers

104.01.00 sharecurrenttrendsElecfor

Transp


Balances

1960-2015 28/06/2017



93


Datecollection

Comments

Otherparamet

ers

104.02.00 futuresharegasvs

(coal+gas)forElec


Balances

1960-2015 28/06/2017

Otherparamet

ers

105.00.00 Efficiencies Dmnl owncalculationsfromIEAbalances

1960-2015 28/06/2017

Otherparamet

ers

106.00.00 Energylosses Dmnl OwnestimationwithdatafromIEA

Balances

1960-2015 28/06/2017

Otherparamet

ers

106.01.00 Propelectricaldistribution

losses


Balances

1960-2015 28/06/2017

Otherparamet

ers

106.02.00 proporgastransplosses


Balances

1960-2015 28/06/2017

Otherparamet

ers

107.00.00 BioEnergy 1960-2015 28/06/2017

Otherparamet

ers

107.01.00 PEpcconsumptiontradbiomass

ref

EJ ownestimationderivedfromIEA

balances



1960-2015 28/06/2017

Otherparamet

ers

107.02.00 Peoplerelyingtradbiomass

ref

inhabitants (WEO,2010) 1960-2015 28/06/2017



94


Datecollection

Comments

Otherparamet

ers

107.03.00 Landproductivitybiofuels2ndgenEJMHa

EJ/Mha Mediavilla2013;deCastroetal(2014)andMEDEASD2.2

Task2.2.e.4

1960-2015 28/06/2017

Otherparamet

ers

107.04.00 BioEpotencialNPPmarginal

lands

EJ/yr Fieldetal.,2008 1960-2015 28/06/2017

Otherparamet

ers

107.05.00 ConvefficiencyfromNPPtobiofuels

Dmnl deCastro&Carpintero(2014).

1960-2015 28/06/2017

Otherparamet

ers

107.06.00 Landoccupationratiobiofuelsmargland

Mha/EJ Fieldetal.(2008) 1960-2015 28/06/2017

Otherparamet

ers

108.00.00 LifetimeRESThermal


Otherparamet

ers


1960-2015 28/06/2017

Otherparamet

ers

109.01.00 technologicalmaxpctofchange


Otherparamet

ers

109.02.00 KliquidEEVTWhEJ

TWh/EJ EABEV,2008 1960-2015 28/06/2017



95


Datecollection

Comments

Otherparamet

ers

110.00.00 Gridreinforcement

costsref

1995$/kW Millsetal(2012) 1960-2015 28/06/2017

Otherparamet

ers

111.00.00 Oilrefinerygainsshare

Dmnl WEO(2010)givesa2.8%fortheyr

2009andBP(2007)2.6%.Thevalue2.7%istaken.

1960-2015 28/06/2017

Otherparamet

ers

112.00.00 TPEFpcthresholdhighdevelopment

GJ/inhabitants

Artoetal.,(2016) 1960-2015 28/06/2017

Otherparamet

ers

113.00.00 TPEDacceptable

standardliving

GJ/inhabitants

(Goldemberg,2011;Raoetal,

2014,WBGU,2003)

1960-2015 28/06/2017

Otherparamet

ers

114.00.00 Propheatdistribution

losses


balances

1960-2015 28/06/2017

Otherparamet

ers

115.00.00 Waste Dmnl OwnestimationwithdatafromIEA

balances



1960-2015 28/06/2017

Otherparamet

ers

116.00.00 Biogas Dmnl OwnestimationwithdatafromIEA

balances



1960-2015 28/06/2017



96


Datecollection

Comments

Otherparamet

ers

117.00.00 Climateparameters

DICEmodel Nordhaus1992,1994;Nordhaus&Sztorc,2013

1960-2015 28/06/2017

Otherparamet

ers

117.01.00 MarginalAtmosRetention

Dmnl DICEmodel Nordhaus1992,1994;Nordhaus&Sztorc,2014

1960-2015 28/06/2017

Otherparamet

ers

117.02.00 initCO2inAtmosppm

ppm DICEmodel Nordhaus1992,1994;Nordhaus&Sztorc,2015

1960-2015 28/06/2017

Otherparamet

ers

117.03.00 RateofCO2Transfer

% DICEmodel Nordhaus1992,1994;Nordhaus&Sztorc,2016

1960-2015 28/06/2017

Otherparamet

ers

117.04.00 PreindustrialCO2

TonC DICEmodel Nordhaus1992,1994;Nordhaus&Sztorc,2017

1960-2015 28/06/2017

Otherparamet

ers

117.05.00 CO2RadForceCoeff

W/m2 DICEmodel Nordhaus1992,1994;Nordhaus&Sztorc,2018

1960-2015 28/06/2017

Otherparamet

ers

117.06.00 Transfercoefficientforlowerlevel

% DICEmodel Nordhaus1992,1994;Nordhaus&Sztorc,2019

1960-2015 28/06/2017

Otherparamet

ers

117.07.00 HeatCapacityRatio

W/(m2*ºC) DICEmodel Nordhaus1992,1994;Nordhaus&Sztorc,2020

1960-2015 28/06/2017



97


Datecollection

Comments

Otherparamet

ers

117.08.00 Climateequation

coefficientforupperlevel

ºC*meter*meter/(watt

*yr)

DICEmodel Nordhaus1992,1994;Nordhaus&Sztorc,2021

1960-2015 28/06/2017

Otherparamet

ers

117.09.00 initAtmosUOceanTemp

ºC DICEmodel Nordhaus1992,1994;Nordhaus&Sztorc,2022

1960-2015 28/06/2017

Otherparamet

ers

117.10.00 initDeepOceanTemp

ºC DICEmodel Nordhaus1992,1994;Nordhaus&Sztorc,2023

1960-2015 28/06/2017

Otherparamet

ers

117.11.00 carbonbudget GtC IPCC2014 IPCC.“ClimateChange2014:MitigationofClimateChange.”Fifth

AssessmentReportoftheIntergovernmentalPanelonClimate

Change,2014.

1960-2015 28/06/2017

Otherparamet

ers

118.00.00 sharetradbiomassvssolidsin

households


balances



1960-2015 28/06/2017

Otherparamet

ers

119.00.00 Efficiencysolarpanelsforheat

Dmnl SHC(2016) 1960-2015 28/06/2017

Otherparamet

ers

120.00.00 Lossessolarforheat

Dmnl Nielsen&WoLiM1.5

1960-2015 28/06/2017



98


Datecollection

Comments

Otherparamet

ers

121.00.00 Efficiencygeothermalfor

heat


balances



1960-2015 28/06/2017 average1995-2015

Otherparamet

ers

122.00.00 EVbatteries 1960-2015 28/06/2017

Otherparamet

ers

122.01.00 Round-tripstorage

efficiencyEVbatteries

Dmnl Dale&Barnhart(2013)

http://pubs.rsc.org/en/content/articlelanding/2013/ee/c3ee41973h

1960-2015 28/06/2017

Otherparamet

ers

122.02.00 CpEVbatteriesforelecstorage

Dmnl Ownelaboration 1960-2015 28/06/2017

Otherparamet

ers

122.03.00 ESOIEVbatteries

Dmnl Ownelaboration 1960-2015 28/06/2017

Otherparamet

ers

122.04.00 WattiosperbatteryEV

kW/battery ownestimation 1960-2015 28/06/2017

Otherparamet

ers

123.00.00 Pumpedhydrostorage(PHS)

1960-2015 28/06/2017

Otherparamet

ers

123.01.00 Round-tripstorage

efficiencyPHS

Dmnl DenholmandMargolis,2008

1960-2015 28/06/2017



99


Datecollection

Comments

Otherparamet

ers

123.02.00 CpPHS Dmnl IRENAdatabase 1960-2015 28/06/2017

Otherparamet

ers

123.03.00 ESOIPHSfullpotential


Otherparamet

ers

124.00.00 Materials Dmnl 1960-2015 28/06/2017

Otherparamet

ers

124.01.00 Maxrecyclingratesminerals

Dmnl (Ragnarsdóttiretal.,2012)

1960-2015 28/06/2017

Otherparamet

ers

124.02.00 ShareofHeatoutputvs

electricityinnuclear


balances

1960-2015 28/06/2017

Otherparamet

ers

125.00.00 EROINREfuels Dmnl datosadhocodeHalletal(2014)

1960-2015 28/06/2017

Otherparamet

ers

126.00.00 Heatdemand Dmnl Ownestimationwithdatafromthe

IEA



1960-2015 28/06/2017

Otherparamet

ers

127.00.00 LifetimeCTL yr ownestimation 1960-2015 28/06/2017



100


Datecollection

Comments

Otherparamet

ers

128.00.00 LifetimeGTL yr ownestimation 1960-2015 28/06/2017

Transport

129.00.00 Householdvehicles

millionvehicles

Ownelaborationwithdatafromthe

IEA

https://www.iea.org/publications/freepublications/publication/EnergyTechnologyPerspectives2016_ExecutiveSummary_EnglishVersion.pdf

2015 26/06/2017

Transport

130.00.00 Commercialvehicles

millionvehicles

Ownelaborationwithdatafromthe

IEA


2015 26/06/2017

Transport

131.00.00 Shareofhouseholdvehicles


IEA


2015 26/06/2017

Transport

132.00.00 Shareofcommercialvehicles


IEA


2015 26/06/2017

Transport

133.00.00 EnergyusedinHouseholdsvehicles


IEA


2015 26/06/2017



101


Datecollection

Comments

Transport

134.00.00 Energyusedincommercialvehicles


IEA


2015 26/06/2017

Transport

135.00.00 Savingratiosofalternative

HOUSEHOLDSvehiclesrelativeto

liquidsvehicles


IEA


1960-2015 26/06/2017

Transport

136.00.00 Savingratiosofalternativecommercialvehiclesrelativeto

liquidsvehicles


IEA


1960-2015 26/06/2017

Transport

137.00.00 Batteriesratio Dmnl Ownelaborationwithdatafromthe

IEA


1960-2015 26/06/2017

Scenarios

138.00.00 Trenddemand(allsectors)

Ownestimation 2016 05/07/2017

Scenarios

138.01.00 Pvariationtrenddemandhouseholds

Dmnl Ownestimation 2016 05/07/2017

Scenarios

138.02.00 Plabourshare Dmnl Ownestimation 2016 05/07/2017



102


Datecollection

Comments

Scenarios

139.00.00 Waste Ownestimation 2016 05/07/2017

Scenarios

139.01.00 maxwaste EJ Ownestimation 2016 05/07/2017

Scenarios

139.02.00 Pwastechange annualgrowth%


Scenarios

140.00.00 Intensities Ownestimation 2016 05/07/2017

Scenarios

140.01.00 Minenergyintensityvs

initial


Scenarios

141.00.00 Minerals Ownestimation 2016 05/07/2017

Scenarios

141.01.00 PrecyclingmineralsRest

annualgrowth%


Scenarios

141.02.00 Precyclingmineralsalternativetechnologies(RESelec&EVbatteries)

annualgrowth%


Scenarios

142.00.00 Nuclear Ownestimation 2016 05/07/2017

Scenarios

142.01.00 Selectionofnuclearscenario

Dmnl Ownestimation 2016 05/07/2017 Possiblescenarios:1.Constantpowercapacityatcurrentlevels.2.Nomorenuclearinstalled,currentcapacitydepreciates.3.Growthof

nuclearpower.4.Phase-outofnuclearpowerScenario

s143.00.00 Techno-

ecological Ownestimation 2016 05/07/2017



103


Datecollection

Comments

potentialelectricRES

Scenarios

143.01.00 maxhydro TWe Ownestimation 2016 05/07/2017

Scenarios

143.02.00 maxPEgeot-elec

TWth Ownestimation 2016 05/07/2017

Scenarios

143.03.00 maxoceanic TWe Ownestimation 2016 05/07/2017

Scenarios

143.04.00 maxonshorewind

TWe Ownestimation 2016 05/07/2017

Scenarios

143.05.00 maxoffshorewind


Scenarios

143.06.00 maxsolaronland(PVand

CSP)

Mha Ownestimation 2016 05/07/2017

Scenarios

143.07.00 maxpotentialPHS


Scenarios

144.00.00 ProjectionelectricRES


Scenarios

144.01.00 Phydrogrowth vspasttrends


Scenarios

144.02.00 Pgeot-elecgrowth

vspasttrends


Scenarios

144.03.00 PsolidbioE-elecgrowth

vspasttrends


Scenarios

144.04.00 Poceanic annualgrowth%


Scenarios

144.05.00 Ponshorewind annualgrowth%




104


Datecollection

Comments

Scenarios

144.06.00 Pwindoffshore annualgrowth%


Scenarios

144.07.00 PsolarPV annualgrowth%


Scenarios

144.08.00 PCSP annualgrowth%


Scenarios

145.00.00 BioEnergy Ownestimation 2016 05/07/2017

Scenarios

145.01.00 Pbiofuels2gen annualgrowth%


Scenarios

145.02.00 Additionallandcompet

availableforbiofuels

Mha Ownestimation 2016 05/07/2017

Scenarios

145.03.00 Pbiofuels3gen annualgrowth%


Scenarios

145.04.00 startyr3gen yr Ownestimation 2016 05/07/2017

Scenarios

145.05.00 Annualshiftfrom2gento

3gen


Scenarios

145.06.00 startyrbiofuelslandmarg

yr Ownestimation 2016 05/07/2017

Scenarios

145.07.00 PbioEresiduesforheat+elec

annualgrowth%


Scenarios

145.08.00 startyrBioEresiduesforheat+elec




105


Datecollection

Comments

Scenarios

145.09.00 Pcellulosicbiofuels

annualgrowth%


Scenarios

145.10.00 startyrcellulosicbiofuels


Scenarios

145.11.00 sharecellulosicbiofuelsvsBioE

residues


Scenarios

145.12.00 evolbiogases vspasttrends


Scenarios

145.13.00 Maxbiogases EJ Ownestimation 2016 05/07/2017

Scenarios

145.14.00 MaxpotentialthermalBioEconventional

EJ Ownestimation 2016 05/07/2017

Scenarios

145.15.00 MaxNPPpotentialBioEresiduesfor

heat


Scenarios

146.00.00 Techno-ecological

potentialRESforheat


Scenarios

146.01.00 FEsolarthermalpotential


Scenarios

146.02.00 GeotPEpotentialforheatTWth

TWth Ownestimation 2016 05/07/2017



106


Datecollection

Comments

Scenarios

147.00.00 ProjectionRESforheat


Scenarios

147.01.00 Psolarforheat annualgrowth%


Scenarios

147.02.00 Pgeothermalforheat

annualgrowth%


Scenarios

147.03.00 PsolidbioEforheat

annualgrowth%


Scenarios



Scenarios

148.01.00 PBEVgrowth annualgrowth%


Scenarios

148.02.00 PHEVgrowth annualgrowth%


Scenarios

148.03.00 PNGVgrowth annualgrowth%


Scenarios

149.00.00 Afforestation Ownestimation 2016 05/07/2017

Scenarios

149.01.00 Activateafforestationprogram

Dmnl Ownestimation 2016 05/07/2017 1=Yes;0=No

Scenarios

150.00.00 ResourcesOil Ownestimation 2016 05/07/2017

Scenarios

150.01.00 Selectionofconvoilcurve

Dmnl Ownestimation 2016 05/07/2017 Possibilities:1.Maggio12middle.2.Maggio12High.3.Maggio12Low.4.Userdefinedin

'139A'Scenario

s150.02.00 Selectionof

unconvoilcurve

Dmnl Ownestimation 2016 05/07/2017 Possibilities:1.Mohr15BG.2.Mohr15Low.3.Mohr15High.4.Userdefinedin'141A'



107


Datecollection

Comments

Scenarios

150.03.00 Selectionoftotaloilcurve

Dmnl Ownestimation 2016 05/07/2017 Possibilities:1.Laherrère2006.2.Userdefinedin'143A'

Scenarios

150.04.00 Selectionconstraintextractionunconvoil

Dmnl Ownestimation 2016 05/07/2017 Possibilities:1.Userconstant(annualgrowth%).2.Userdefinedasfunctionoftime

'161A'

Scenarios

151.00.00 ResourcesGas Ownestimation 2016 05/07/2017

Scenarios

151.01.00 Selectionofconvgascurve

Dmnl Ownestimation 2016 05/07/2017 Possibilities:1.BGMohr15.2.LowMohr15.3.HighMohr15.4.Userdefinedin'146A'

Scenarios

151.02.00 Selectionofunconventional

gascurve

Dmnl Ownestimation 2016 05/07/2017 Possibilities:1.Mohr15BG.2.Mohr15Low.3.Mohr15High.4.Userdefinedin'148A'

Scenarios

151.03.00 Selectionoftotalgascurve

Dmnl Ownestimation 2016 05/07/2017 Possibilities:1.Laherrére10.2.Mohr12BG.3.Userdefinedin'150A'

Scenarios

151.04.00 Selectionconstraintextractionunconvgas

Dmnl Ownestimation 2016 05/07/2017 Possibilities:1.Userconstant(annualgrowth%).2.Userdefinedasfunctionoftime

'163A'

Scenarios

152.00.00 ResourcesCoal Ownestimation 2016 05/07/2017

Scenarios

152.01.00 Selectionofcoalcurve

Dmnl Ownestimation 2016 05/07/2017 Possibilities:1.Mohr12high.2.Mohr15low.3.Mohr15BG.4.Mohr15high.5.Userdefinedin

'153A'.Scenario

s153.00.00 Resources

Uranium Ownestimation 2016 05/07/2017

Scenarios

153.01.00 Selectionofuraniumcurve

Dmnl Ownestimation 2016 05/07/2017 Possibilities:1.EWG13.2.Zittel12.3.Userdefinedin'156A'



108


Datecollection

Comments

Scenarios

154.00.00 CTL Ownestimation 2016 05/07/2017

Scenarios

154.01.00 PCTL(annualgrowth%)

annualgrowth%


Scenarios

155.00.00 GTL Ownestimation 2016 05/07/2017

Scenarios

155.01.00 PGTL(annualgrowth%)

annualgrowth%


Scenarios

156.00.00 Climate Ownestimation 2016 05/07/2017

Scenarios

156.01.00 ClimateSensitivity

ºC Ownestimation 2016 05/07/2017

Scenarios

157.00.00 CCimpacts Ownestimation 2016 05/07/2017

Scenarios

157.01.00 ActivateELF? Dmnl Ownestimation 2016 05/07/2017 1=Yes;0=No

Scenarios

158.00.00 Policiestoreduceoil

contributioninheatandelectricitylinearly

followinglineardecreasing

trend


Scenarios

158.01.00 Reduceoilforelectricity?

Dmnl Ownestimation 2016 05/07/2017 1:YES;0:constantcurrentshare

Scenarios

158.02.00 Reduceoilforheat?

Dmnl Ownestimation 2016 05/07/2017 1:YES;0:constantcurrentshare



109


Datecollection

Comments

Socioeconomic


million$(1995)


1995-2009

17/05/2017 Originalsourceincurrentprices.Owncalculations.Worldaggregatedandsectoral

disaggregated.Chainedvolumesprices(1995)onthebasisofIOTatpreviousyear

prices.Socioecon

omic2.00.00 Production million$(

1995)WIOD http://www.wiod.org/database/

wiots131995-2009



prices.Socioecon

omic3.00.00 Inequality

indicators% WIOD-Socio

EconomicAccountshttp://www.wiod.org/database/s

eas131995-2009

17/05/2017 Owncalculations.Incomeshare:factorincome/GDP

Socioeconomic

3.01.00 LabourshareinGDP



1995-2009

26/04/2017 Owncalculations.Labourcompensation/GDP.

Socioeconomic




1995-2009

26/04/2017 Owncalculations.Capitalcompensation/GDP.

Socioeconomic




1995-2009

17/05/2017 Originalsourceincurrentpricesandnationalcurrency.RateexchangeinWIOD-SEA.

Worldaggregated.Assumption:Restofthe

ANNEXII.EUROPEMEDEASMETADATA



110


Datecollection

Comments

Worldregionhasthesameprimaryincomedistribution.

Socioeconomic

4.01.00 Labourcompensat

ion

million$(1995)



1995-2009

17/05/2017

Socioeconomic

4.02.00 Capitalcompensat

ion

million$(1995)



1995-2009

17/05/2017

Socioeconomic

5.00.00 Population inhabitants

WorldBank http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.ELC.PETR.ZS&country=#

1960-2015

21/04/2017

Socioeconomic

6.00.00 Lifeexpectancyatbith

years WorldBank http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.ELC.PETR.ZS&country=#

1960-2015

21/04/2017

Socioeconomic


inhabitants


1960-2015

21/04/2017

Socioeconomic


inhabitants


1960-2015

21/04/2017

Socioeconomic


%oftotallabourforce


1991-2016

21/04/2017

Socioeconomic

10.00.00 Energydependenc

y

% WorldBankGroup http://data.worldbank.org/indicator/EG.IMP.CONS.ZS

1960-2014

16/05/2017 Netenergyimports/Energyuse.Anegativevalueindicatesthatthecountryisanet

exporter.



111


Datecollection

Comments

Socioeconomic

11.00.00 Technicalcoefficient

s

Ratioinput

($)/output($)


1995-2009

17/05/2017 OnceworldInput-Outputtableiscompiledat1995prices,weobtaintheratiobetweenthesectoraltransactionandtheoutputby

columns.Socioecon

omic12.00.00 Final

energyconsumptionpercapita

kgoe/capita

OwnelaborationbasedondatafromtheIEA


1971-2014

21/04/2017

Resources-Economy

13.00.00 Waterconsumpti

on


Accounts


1995-2009

28/04/2017 Worldaggregated.

Resources-Economy

14.00.00 Waterintensity

m3/$(1995)

Owncalculationsonthebasisof

WIOD-Environmental

accounts


1995-2009

28/04/2017 Owncalculations.Owncalculations:Waterconsumption(m3)/Production(million$

1995)

Resources-Economy

15.00.00 Materialconsumpti

on

ton/hab*yr

FriendsOfTheEarthAustria


resources

https://www.foe.co.uk/sites/default/files/downloads/overconsum

ption.pdf

19801985199019902000

28/04/2017

Resources-Economy


TJ/$(1995)


WIOD-


1995-2009

08/05/2017 Owncalculation.Worldaggregated,sourceandsectordisaggregated.PrimaryEnergyConsumption(TJ)/Production(million$



112


Datecollection

Comments

Environmentalaccounts

1995)

Resources-Economy


TJ/$(1995)


WIOD-Environmental

accounts


1995-2009

04/05/2017 Owncalculation.Worldaggregated,sourceandsectordisaggregated.FinalEnergyConsumption(TJ)/Production(million$

1995)

Landuse 18.00.00 Foodland kHa Nations(FAO)StatisticsDivision(ESS),EnvironmentStatisticsteam


1961-2014

28/04/2017 ITEM:Agriculturalarea

Landuse 19.00.00 Forestland km2 WorldBankForestArea,WorldBank

http://data.worldbank.org/INDICATOR/AG.LND.FRST.K2?VIEW=CH

ART

1990-2015

21/04/2017 Forestareaislandundernaturalorplantedstandsoftreesofatleast5metersinsitu,whetherproductiveornot,andexcludestreestandsinagriculturalproduction

systems(forexample,infruitplantationsandagroforestrysystems)andtreesinurban

parksandgardens.NALanduse 20.00.00 Biodiversit

yprotection

land

km2 WorldBankTerrestrial

ProtectedAreas,WorldBank

http://data.worldbank.org/INDICATOR/ER.LND.PTLD.ZS

1990,2000,2014


authoritiesasscientificreserveswithlimitedpublicaccess,nationalparks,natural

monuments,naturereservesorwildlifesanctuaries,protectedlandscapes,andareasmanagedmainlyforsustainableuse.Marine



113


Datecollection

Comments

areas,unclassifiedareas,littoral(intertidal)areas,andsitesprotectedunderlocalor


areakm2 WorldBankUrban

LandAreahttp://data.worldbank.org/INDIC

ATOR/AG.LND.TOTL.UR.K21990,2000,2010

21/04/2017 Urbanlandareainmegahectares,basedonacombinationofpopulationcounts(persons),settlementpoints,andthepresenceofnight-timelights.Areasare

definedasurbanwherecontiguouslightedcellsfromthenight-timelightsor

approximatedurbanextentsbasedonbufferedsettlementpointsforwhichthetotalpopulationisgreaterthan5,000

persons.Urbannoturbanizedland,givesthesamenumberfor1990,2000and2010

Landuse 22.00.00 Biofueland

bioelectricityland

Mha CAPELLÁNETAL.DELIVERABLE

D2.2.E.4(ANNEX12)

NA 2008,2010

02/05/2017 Landforbiofuelestimationonlybiofuelsfromagriculture,bioelectricityissupposed

fromwasteandforestresidues

Landuse 23.00.00 Arableandcropland,%totallandarea



1990-2014

17/04/2017

Landuse 24.00.00 Pasturesand

meadows,%total



1990-2014

17/04/2017



114


Datecollection

Comments

landarea

Landuse 25.00.00 Forest,%totalland

area



1990-2014

17/04/2017

Landuse 26.00.00 Otherland,%totalland

area



1990-2014

17/04/2017

Energyconsumpti

onbysectors

27.00.00 FinalEnergy

Consumption(FEC)

EJ Ownelaborationbasedondata

fromtheIEAandWIOD


1995-2009

18/05/2017 SectorallyaggregatedusingWIODandIEA.

Commerce 28.00.00 Totalcommerce

(constant2010US$)

Datacomex http://datacomex.comercio.es/principal_comex_ue.aspx

1970-2015

18/05/2017

Energy 29.00.00 Energyexchange

TJ Eurostats http://ec.europa.eu/eurostat/web/energy/data/database

1990-2014

18/05/2017



115


Datecollection

Comments

Socioeconomic


million$(1995)


1995-2009



prices.Socioecon

omic2.00.00 Production million

$(1995)WIOD http://www.wiod.org/database/

wiots131995-2009



prices.Socioecon



EconomicAccountshttp://www.wiod.org/database/s

eas131995-2009


Socioeconomic




1995-2009


Socioeconomic




1995-2009


Socioeconomic




1995-2009

17/05/2017 Originalsourceincurrentpricesandnationalcurrency.RateexchangeinWIOD-SEA.

Worldaggregated.Assumption:Restofthe

ANNEXIII.AUSTRIAMEDEASMETADATA



116


Datecollection

Comments

Worldregionhasthesameprimaryincomedistribution.

Socioeconomic

4.01.00 Labourcompensatio

n

million$(1995)



1995-2009

17/05/2017

Socioeconomic

4.02.00 Capitalcompensatio

n

million$(1995)



1995-2009

17/05/2017

Socioeconomic



1960-2015

21/04/2017

Socioeconomic


years WorldBank http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.ELC.PETR.ZS&country=#

1960-2015

21/04/2017

Socioeconomic


inhabitants


1960-2015

21/04/2017

Socioeconomic


inhabitants


1960-2015

21/04/2017

Socioeconomic


%oftotallabourforce


1991-2016

21/04/2017



117


Datecollection

Comments

Socioeconomic

10.00.00 Energydependency

% WorldBankGroup http://data.worldbank.org/indicator/EG.IMP.CONS.ZS

1960-2014


exporter.Socioecon

omic11.00.00 Technical

coefficientsRatioinput($)/output($)


1995-2009

17/05/2017 OnceworldInput-Outputtableiscompiledat1995prices,weobtaintheratiobetweenthesectoraltransactionandtheoutputby

columns.Socioecon

omic12.00.00 Finalenergy

consumptionpercapita

kgoe/capita



1971-2014

21/04/2017

Resources-Economy

13.00.00 Waterconsumptio

n


Accounts


1995-2009


Resources-Economy


m3/$(1995)


WIOD-Environmental

accounts


1995-2009


1995)

Resources-Economy

15.00.00 Materialconsumptio

n

ton/hab*yr



resources

https://www.foe.co.uk/sites/default/files/downloads/overconsum

ption.pdf

19801985199019902000

28/04/2017

Resources-Economy

16.00.00 PrimaryEnergy

TJ/$(1995)



1995-2009

08/05/2017 Owncalculation.Worldaggregated,sourceandsectordisaggregated.PrimaryEnergy



118


Datecollection

Comments

Intensity WIOD-Environmental

accounts


Resources-Economy


TJ/$(1995)


WIOD-Environmental

accounts


1995-2009


1995)

Landuse 18.00.00 Foodland kHa FoodandAgriculture

OrganizationoftheUnitedNations

(FAO)StatisticsDivision(ESS),EnvironmentStatisticsteam


1961-2014


Landuse 19.00.00 Forestland km2 WorldBankForestArea,WorldBank


ART

1990-2015


systems(forexample,infruitplantationsandagroforestrysystems)andtreesinurban

parksandgardens.NALanduse 20.00.00 Biodiversity

protectionland


ProtectedAreas,


1990,2000,2014




119


Datecollection

Comments

WorldBank authoritiesasscientificreserveswithlimitedpublicaccess,nationalparks,natural

monuments,naturereservesorwildlifesanctuaries,protectedlandscapes,andareasmanagedmainlyforsustainableuse.Marineareas,unclassifiedareas,littoral(intertidal)areas,andsitesprotectedunderlocalor


areakm2 WorldBankUrban

LandAreahttp://data.worldbank.org/INDIC

ATOR/AG.LND.TOTL.UR.K21990,2000,2010



approximatedurbanextentsbasedonbufferedsettlementpointsforwhichthetotalpopulationisgreaterthan5,000


Landuse 22.00.00 Biofuelandbioelectricit

yland


D2.2.e.4(annex12)

NA 2008,2010


fromwasteandforestresiduesLanduse 23.00.00 Arableand

cropland,%totalland

area



1990-2014

17/04/2017



120


Datecollection

Comments

Landuse 24.00.00 Pasturesandmeadows,%totalland

area



1990-2014

17/04/2017


area



1990-2014

17/04/2017


area



1990-2014

17/04/2017

Energyconsumpti

onbysectors

27.00.00 FinalEnergyConsumptio

n(FEC)


fromtheIEAandWIOD


1995-2009



Chainedlinkedvolume

s(2010),millioneuro


2006-2015

18/05/2017

Commerce 29.00.00 IntraEU28Trade

Chainedlinkedvolume

s(2010),


2008-2015

18/05/2017



121


Datecollection

Comments

millioneuro

Commerce 30.00.00 ExtraEU28Trade

Chainedlinkedvolume

s(2010),millioneuro


2008-2015

18/05/2017



1990-2014

18/05/2017



122


Datecollection

Comments

Socioeconomic


million$(1995)


1995-2009

17/05/2017 Originalsourceincurrentprices.Owncalculations.Worldaggregatedand

sectoraldisaggregated.Chainedvolumesprices(1995)onthebasisofIOTat

previousyearprices.Socioecon

omic2.00.00 Productio

nmillion$(1

995)WIOD http://www.wiod.org/database/

wiots131995-2009

17/05/2017 Originalsourceincurrentprices.Owncalculations.Worldaggregatedand

sectoraldisaggregated.Chainedvolumesprices(1995)onthebasisofIOTat

previousyearprices.Socioecon



EconomicAccounts


1995-2009


Socioeconomic




1995-2009


Socioeconomic




1995-2009


Socioeconomic




1995-2009

17/05/2017 Originalsourceincurrentpricesandnationalcurrency.RateexchangeinWIOD-SEA.Worldaggregated.Assumption:Rest

ANNEXIV.BULGARIAMEDEASMETADATA



123


Datecollection

Comments

oftheWorldregionhasthesameprimaryincomedistribution.

Socioeconomic

4.01.00 Labourcompensa

tion

million$(1995)



1995-2009

17/05/2017

Socioeconomic

4.02.00 Capitalcompensa

tion

million$(1995)



1995-2009

17/05/2017

Socioeconomic


WorldBankGroupWorldDevelopmentIndicators

http://databank.worldbank.org/data/reports.aspx?source=2&series=EG.ELC.PETR.ZS&country=#

1960-2015

21/04/2017

Socioeconomic


years WorldBankGroupWorldDevelopmentIndicators


1960-2015

21/04/2017

Socioeconomic


inhabitants



1960-2015

21/04/2017

Socioeconomic


inhabitants



1960-2015

21/04/2017



124


Datecollection

Comments

Socioeconomic


%oftotallabourforce



1991-2016

21/04/2017

Socioeconomic

10.00.00 Energydependen

cy

% WorldBankGroup

http://data.worldbank.org/indicator/EG.IMP.CONS.ZS

1960-2014


exporter.Socioecon

omic11.00.00 Technical

coefficients

Ratioinput

($)/output($)


1995-2009

17/05/2017 OnceworldInput-Outputtableiscompiledat1995prices,weobtaintheratio

betweenthesectoraltransactionandtheoutputbycolumns.

Socioeconomic

12.00.00 Finalenergy

consumptionpercapita

kgoe/capita



1971-2014

21/04/2017

Resources-Economy

13.00.00 Waterconsumpti

on


Accounts


1995-2009


Resources-Economy


m3/$(1995)


WIOD-Environmental

accounts


1995-2009


1995)



125


Datecollection

Comments

Resources-Economy

15.00.00 Materialconsumpti

on

ton/hab*yr



resources

https://www.foe.co.uk/sites/default/files/downloads/overconsu

mption.pdf

19801985199019902000

28/04/2017

Resources-Economy



WIOD-Environmental

accounts


1995-2009

08/05/2017 Owncalculation.Worldaggregated,sourceandsectordisaggregated.PrimaryEnergyConsumption(TJ)/Production(million$

1995)

Resources-Economy



WIOD-Environmental

accounts


1995-2009


1995)

Landuse 18.00.00 Foodland kHa FoodandAgriculture

OrganizationoftheUnited

Nations(FAO)StatisticsDivision

(ESS),EnvironmentStatisticsteam


1961-2014




126


Datecollection

Comments

Landuse 19.00.00 Forestland

km2 WorldBankForestArea,WorldBank


ART

1990-2015


systems(forexample,infruitplantationsandagroforestrysystems)andtreesin

urbanparksandgardens.NALanduse 20.00.00 Biodiversit

yprotection

land


ProtectedAreas,WorldBank


1990,2000,2014

02/05/2017 Terrestrialprotectedareasaretotallyorpartiallyprotectedareasofatleast1,000hectaresthataredesignatedbynationalauthoritiesasscientificreserveswithlimitedpublicaccess,nationalparks,

naturalmonuments,naturereservesorwildlifesanctuaries,protectedlandscapes,andareasmanagedmainlyforsustainableuse.Marineareas,unclassifiedareas,littoral(intertidal)areas,andsites

protectedunderlocalorprovinciallawareexcluded.

Landuse 21.00.00 Urbanlandarea

km2 WorldBankUrbanLandArea

http://data.worldbank.org/INDICATOR/AG.LND.TOTL.UR.K2

1990,2000,2010



approximatedurbanextentsbasedon



127


Datecollection

Comments

bufferedsettlementpointsforwhichthetotalpopulationisgreaterthan5,000


Landuse 22.00.00 Biofueland

bioelectricityland


D2.2.e.4(annex12)

NA 2008,2010


fromwasteandforestresidues

Landuse 23.00.00 Arableandcropland,%totallandarea



1990-2014

17/04/2017

Landuse 24.00.00 Pasturesand

meadows,%totallandarea



1990-2014

17/04/2017


area



1990-2014

17/04/2017


area



1990-2014

17/04/2017



128


Datecollection

Comments

Energyconsumpti

onbysectors

27.00.00 FinalEnergy

Consumption(FEC)


fromtheIEAandWIOD


1995-2009



Chainedlinkedvolumes(2010),millioneuro


2006-2015

18/05/2017

Commerce 29.00.00 IntraEU28Trade



2008-2015

18/05/2017

Commerce 30.00.00 ExtraEU28Trade



2008-2015

18/05/2017



1990-2014

18/05/2017



129

CREATESCHEMAIFNOTEXISTS`medeas`DEFAULTCHARACTERSETlatin1;USE`medeas`;---------------------------------------------------------Table`medeas`.ÙNIT`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.ÙNIT`(ìdÌNT(11)NOTNULLAUTO_INCREMENT,`title`VARCHAR(45)NOTNULL,PRIMARYKEY(ìd`))AUTO_INCREMENT=63DEFAULTCHARACTERSET=latin1;---------------------------------------------------------Table`medeas`.`QUANTITY`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.`QUANTITY`(ìdÌNT(11)NOTNULLAUTO_INCREMENT,`title`VARCHAR(45)NOTNULL,`baseunitÌNT(11)NOTNULL,PRIMARYKEY(ìd`),INDEX`fk_group_1_idx`(`baseunitÀSC),CONSTRAINT`fk_group_1`FOREIGNKEY(`baseunit`)REFERENCES`medeas`.ÙNIT`(ìd`)ONUPDATECASCADE)AUTO_INCREMENT=44DEFAULTCHARACTERSET=latin1;---------------------------------------------------------Table`medeas`.`TOPIC`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.`TOPIC`(ìdÌNT(11)NOTNULLAUTO_INCREMENT,`title`VARCHAR(255)NOTNULL,

ANNEXV.DATABASESCHEMADEFINITION



130

PRIMARYKEY(ìd`),UNIQUEINDEX`title_UNIQUE`(`titleÀSC))AUTO_INCREMENT=17DEFAULTCHARACTERSET=latin1;---------------------------------------------------------Table`medeas`.`VARIABLETYPE`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.`VARIABLETYPE`(ìdÌNT(11)NOTNULLAUTO_INCREMENT,`title`VARCHAR(20)NOTNULL,PRIMARYKEY(ìd`))AUTO_INCREMENT=4DEFAULTCHARACTERSET=latin1;---------------------------------------------------------Table`medeas`.`VARIABLE`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.`VARIABLE`(ìd`VARCHAR(12)NOTNULL,`title`VARCHAR(255)NOTNULL,`quantityÌNT(11)NOTNULL,`topicÌNT(11)NOTNULL,`variabletypeÌNT(11)NOTNULL,ìnsert_user`VARCHAR(45)NULLDEFAULTNULL,ìnsert_dt`DATETIMENULLDEFAULTNULL,PRIMARYKEY(ìd`),INDEX`fk_variable_2_idx`(`topicÀSC),INDEX`fk_variable_1_idx`(`quantityÀSC),INDEX`fk_variable_3_idx`(`variabletypeÀSC),CONSTRAINT`fk_variable_1`FOREIGNKEY(`quantity`)REFERENCES`medeas`.`QUANTITY`(ìd`)ONUPDATECASCADE,CONSTRAINT`fk_variable_2`FOREIGNKEY(`topic`)REFERENCES`medeas`.`TOPIC`(ìd`)ONUPDATECASCADE,CONSTRAINT`fk_variable_3`FOREIGNKEY(`variabletype`)



131

REFERENCES`medeas`.`VARIABLETYPE`(ìd`)ONUPDATECASCADE)DEFAULTCHARACTERSET=latin1;---------------------------------------------------------Table`medeas`.`METADATA`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.`METADATA`(ìdÌNT(11)NOTNULLAUTO_INCREMENT,`variable`VARCHAR(12)NOTNULL,`source`VARCHAR(255)NULLDEFAULTNULL,`source_update`VARCHAR(45)NULLDEFAULTNULL,ìdentifier`VARCHAR(255)NULLDEFAULTNULL,`reliability`DOUBLENULLDEFAULTNULL,`license`VARCHAR(45)NULLDEFAULTNULL,`data_period`VARCHAR(45)NULLDEFAULTNULL,`collection_dt`VARCHAR(45)NULLDEFAULTNULL,`comments`VARCHAR(2000)NULLDEFAULTNULL,`valuetype`VARCHAR(45)NULLDEFAULTNULL,PRIMARYKEY(ìd`),UNIQUEINDEX`variable_UNIQUE`(`variableÀSC),INDEX`fk__idx`(`variableÀSC),CONSTRAINT`fk_metadata_1`FOREIGNKEY(`variable`)REFERENCES`medeas`.`VARIABLE`(ìd`)ONUPDATECASCADE)AUTO_INCREMENT=56DEFAULTCHARACTERSET=latin1;---------------------------------------------------------Table`medeas`.`MODEL`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.`MODEL`(ìdÌNT(11)NOTNULLAUTO_INCREMENT,`title`VARCHAR(20)NOTNULL,PRIMARYKEY(ìd`),UNIQUEINDEX`title_UNIQUE`(`titleÀSC))AUTO_INCREMENT=5DEFAULTCHARACTERSET=latin1;



132

---------------------------------------------------------Table`medeas`.ÙNITQUANTITY`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.ÙNITQUANTITY`(ìdÌNT(11)NOTNULLAUTO_INCREMENT,`quantityÌNT(11)NOTNULL,ùnitÌNT(11)NOTNULL,`multiplier`DOUBLENOTNULL,PRIMARYKEY(ìd`),INDEX`fk_unitgroup_1_idx`(ùnitÀSC),INDEX`fk_unitgroup_1`(`quantityÀSC),CONSTRAINT`fk_unitgroup_1`FOREIGNKEY(`quantity`)REFERENCES`medeas`.`QUANTITY`(ìd`)ONUPDATECASCADE,CONSTRAINT`fk_unitgroup_2`FOREIGNKEY(ùnit`)REFERENCES`medeas`.ÙNIT`(ìd`)ONUPDATECASCADE)AUTO_INCREMENT=63DEFAULTCHARACTERSET=latin1;---------------------------------------------------------Table`medeas`.`VALUE`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.`VALUE`(ìdÌNT(11)NOTNULLAUTO_INCREMENT,`variable`VARCHAR(12)NOTNULL,`modelÌNT(11)NOTNULL,`timeÌNT(11)NOTNULL,`value`DOUBLENOTNULL,ìnsert_user`VARCHAR(45)NULLDEFAULTNULL,ìnsert_dt`DATETIMENULLDEFAULTNULL,PRIMARYKEY(ìd`),UNIQUEINDEX`fields_UNIQUE`(`variableÀSC,`modelÀSC,`timeÀSC),INDEX`fk_value_2_idx`(`variableÀSC),INDEX`model_idx`(`modelÀSC),INDEX`time_idx`(`timeÀSC),CONSTRAINT`fk_value_1`FOREIGNKEY(`model`)



133

REFERENCES`medeas`.`MODEL`(ìd`)ONUPDATECASCADE,CONSTRAINT`fk_value_2`FOREIGNKEY(`variable`)REFERENCES`medeas`.`VARIABLE`(ìd`)ONUPDATECASCADE)AUTO_INCREMENT=143404DEFAULTCHARACTERSET=latin1;---------------------------------------------------------Table`medeas`.`VALUE_HISTORY`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.`VALUE_HISTORY`(ìdÌNT(11)NOTNULLAUTO_INCREMENT,`variable`VARCHAR(12)NOTNULL,`modelÌNT(11)NOTNULL,`timeÌNT(11)NOTNULL,`value`DOUBLENOTNULL,ìnsert_user`VARCHAR(45)NULLDEFAULTNULL,ìnsert_dt`DATETIMENULLDEFAULTNULL,`lup`DATETIMENOTNULL,`lupuser`VARCHAR(45)NULLDEFAULTNULL,PRIMARYKEY(ìd`),UNIQUEINDEX`variable_lup_UNIQUE`(`modelÀSC,`variableÀSC,`timeÀSC,`lupÀSC))ENGINE=MyISAMAUTO_INCREMENT=656DEFAULTCHARACTERSET=latin1;---------------------------------------------------------Table`medeas`.ùser`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.ùser`(ÙSER_IDÌNT(11)NOTNULLAUTO_INCREMENT,ùser_name`VARCHAR(50)NULLDEFAULTNULL,ùser_pass`CHAR(20)NULLDEFAULTNULL,ùser_otp`VARCHAR(32)NULLDEFAULTNULL,ùser_type`CHAR(1)NULLDEFAULTNULL,ùser_levelÌNT(2)NULLDEFAULTNULL,ùser_pass_expiry_date`DATETIMENULLDEFAULT'0001-01-0100:00:00',PRIMARYKEY(ÙSER_ID`),UNIQUEINDEXÙSERS001ÙSINGBTREE(ùser_nameÀSC))



134

AUTO_INCREMENT=64DEFAULTCHARACTERSET=latin1ROW_FORMAT=DYNAMIC;---------------------------------------------------------Table`medeas`.ùser_role`-------------------------------------------------------CREATETABLEIFNOTEXISTS`medeas`.ùser_role`(ÙSER_ROLE_IDÌNT(11)NOTNULLAUTO_INCREMENT,ùser_name`VARCHAR(50)NOTNULL,`role_name`CHAR(20)NOTNULL,PRIMARYKEY(ÙSER_ROLE_ID`),UNIQUEINDEXÙSER_ROLE001ÙSINGBTREE(ùser_nameÀSC,`role_nameÀSC),CONSTRAINTùser_fk`FOREIGNKEY(ùser_name`)REFERENCES`medeas`.ùser`(ùser_name`)ONUPDATECASCADE)AUTO_INCREMENT=63DEFAULTCHARACTERSET=latin1;



135

ANNEXVI.SOURCECODEFILESTATISTICS



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Arto, Iñaki, Iñigo Capellán-Pérez, Rosa Lago, Gorka Bueno, and Roberto Bermejo. 2016. “TheEnergy Requirements of a Developed World.” Energy for Sustainable Development 33(August):1–13.doi:10.1016/j.esd.2016.04.001.

Barnhart, Charles J.,Michael Dale, Adam R. Brandt, and SallyM. Benson. 2013. “The EnergeticImplicationsofCurtailingversusStoringSolar-andWind-GeneratedElectricity.”Energy&EnvironmentalScience6(10):2804–10.doi:10.1039/C3EE41973H.

Boccard, Nicolas. 2009. “Capacity Factor ofWind Power Realized Values vs. Estimates.” EnergyPolicy37(7):2679–88.doi:10.1016/j.enpol.2009.02.046.

Brandt,AdamR.,andAlexanderE.Farrell.2007.“ScrapingtheBottomoftheBarrel:GreenhouseGas Emission Consequences of a Transition to Low-Quality and Synthetic PetroleumResources.”ClimaticChange84(3–4):241.doi:10.1007/s10584-007-9275-y.

Capellán-Pérez,Iñigo,CarlosdeCastro,andIñakiArto.2017.“AssessingVulnerabilitiesandLimitsin the Transition to Renewable Energies: Land Requirements under 100% Solar EnergyScenarios.” Renewable and Sustainable Energy Reviews 77 (September): 760–82.doi:10.1016/j.rser.2017.03.137.

Castro, Carlos de, Óscar Carpintero, Fernando Frechoso, Margarita Mediavilla, and Luis J. deMiguel.2014.“ATop-downApproachtoAssessPhysicalandEcologicalLimitsofBiofuels.”Energy64(January):506–12.doi:10.1016/j.energy.2013.10.049.

Castro,Carlosde,MargaritaMediavilla,LuisJavierMiguel,andFernandoFrechoso.2013.“GlobalSolar Electric Potential: A Review of Their Technical and Sustainable Limits.”RenewableandSustainableEnergyReviews28:824–35.doi:10.1016/j.rser.2013.08.040.

Denholm,Paul,andRobertM.Margolis.2008.“Land-UseRequirementsandtheper-CapitaSolarFootprintforPhotovoltaicGenerationintheUnitedStates.”EnergyPolicy36(9):3531–43.doi:10.1016/j.enpol.2008.05.035.

Dietzenbacher,Erik,BartLos,RobertStehrer,MarcelTimmer,andGaaitzendeVries.2013.“TheConstruction of World Input–Output Tables in the Wiod Project.” Economic SystemsResearch25(1):71–98.doi:10.1080/09535314.2012.761180.

Field,ChristopherB.,J.ElliottCampbell,andDavidB.Lobell.2008.“BiomassEnergy:TheScaleofthe Potential Resource.” Trends in Ecology & Evolution 23 (2): 65–72.doi:10.1016/j.tree.2007.12.001.

Genty, Aurélien. 2012. Final Database of Environmental Satellite Accounts: Technical Report onTheir Compilation. WIOD Deliverable 4.6, Documentation.http://www.wiod.org/publications/source_docs/Environmental_Sources.pdf.

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