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    Development ofEnergy Efficiency

    Indicators in Russia

    INTERNATIONALENERGYAGENCY

    NATHALIETRUDEAUANDISABELMURRAY

    W O R K IN G PA PE R

    2011

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    INTERNATIONAL ENERGY AGENCY

    The International Energy Agency (IEA), an autonomous agency, was established inNovember 1974. Its mandate is two-fold: to promote energy security amongst its member

    countries through collective response to physical disruptions in oil supply and to advise member

    countries on sound energy policy.The IEA carries out a comprehensive programme of energy co-operation among 28 advancedeconomies, each of which is obliged to hold oil stocks equivalent to 90 days of its net imports.The Agency aims to:

    n Secure member countries access to reliable and ample supplies of all forms of energy; in particular,through maintaining effective emergency response capabilities in case of oil supply disruptions.

    n Promote sustainable energy policies that spur economic growth and environmental protectionin a global context particularly in terms of reducing greenhouse-gas emissions that contributeto climate change.

    n Improve transparency of international markets through collection and analysis ofenergy data.

    nSupport global collaboration on energy technology to secure future energy suppliesand mitigate their environmental impact, including through improved energy

    efficiency and development and deployment of low-carbon technologies.

    n Find solutions to global energy challenges through engagementand dialogue with non-member countries, industry,

    international organisations and other stakeholders. IEA member countries:

    Australia

    Austria

    Belgium

    Canada

    Czech Republic

    Denmark

    Finland

    France

    Germany

    Greece

    Hungary

    Ireland

    Italy

    Japan

    Korea (Republic of)

    Luxembourg

    NetherlandsNew Zealand

    Norway

    Poland

    Portugal

    Slovak Republic

    Spain

    Sweden

    Switzerland

    Turkey

    United Kingdom

    United States

    The European Commission

    also participates in

    the work of the IEA.

    Please note that this publication

    is subject to specific restrictions

    that limit its use and distribution.

    The terms and conditions are available

    online at www.iea.org/about/copyright.asp

    OECD/IEA, 2011

    International Energy Agency9 rue de la Fdration

    75739 Paris Cedex 15, France

    www.iea.org

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    Development ofEnergy Efficiency

    Indicators in Russia

    INTERNATIONALENERGYAGENCY

    NATHALIETRUDEAUANDISABELMURRAY

    W O R K IN G PA PE R

    2011

    The views expressed in this working paper are those of

    the authors and do not necessarily reflect the views or policy

    of the International Energy Agency (IEA) Secretariat or

    of its individual member countries. This paper is a work

    in progress, designed to elicit comments and further debate;

    thus, comments are welcome, directed to the authors at:

    [email protected] [email protected]

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    Tableofcontents

    Acknowledgements........................................................................................................................5

    Executivesummary.........................................................................................................................7

    ThedatasituationinRussiatodevelopindicators..................................................................8

    Introduction:theuseofindicatorstounravelthecomplexityofenergyconsumption..............10

    Industrysector..............................................................................................................................12

    AvailabilityofindustrydatainRussiatodevelopindicators.................................................13

    Keyindicatorsfortheindustrialsector.................................................................................15

    Residentialsector..........................................................................................................................18

    AvailabilityofresidentialdatainRussiatodevelopindicators.............................................19

    Keyindicatorsfortheresidentialsector...............................................................................21

    Servicesector................................................................................................................................25

    AvailabilityofservicedatainRussiatodevelopindicators...................................................25

    Keyindicatorsfortheservicesector.....................................................................................26

    Transportsector............................................................................................................................28

    Passengertransportsector....................................................................................................28

    Freighttransportsector.........................................................................................................32

    Conclusionsandnextsteps...........................................................................................................36

    AnnexA.TheIEAindicatorapproach...........................................................................................37

    ThebenefitsoftheIEAapproach..........................................................................................37

    TheIEAindicatorpyramid.....................................................................................................38

    AnnexB.TheIEAmethodologyforanalysingenergyconsumption.............................................46

    Thedecompositionofchangesinenergyconsumption........................................................46

    Sectoralcoverage..................................................................................................................49

    AnnexC.References.....................................................................................................................51

    AnnexD.Abbreviations,acronymsandunits...............................................................................52

    Listoffigures

    FigureA.1:TheIEAindicatorpyramid..........................................................................................38

    FigureA.2:Industrysectorpyramid.............................................................................................39

    FigureA.3:Residentialsectorpyramidbasedonfloorarea.........................................................41

    FigureA.4:Residentialsectorpyramidbasedonhousehold.......................................................42

    FigureA.5:Servicesectorpyramid...............................................................................................43

    FigureA.6:Passengertransportsectorpyramid..........................................................................44

    FigureA.7:Freighttransportsectorpyramid...............................................................................45

    FigureB.1:BasicoverviewoffactorsinCO2decomposition........................................................49

    FigureB.2:Disaggregationofsectors,subsectorsandendusesin

    IEAenergyindicatorsapproach..............................................................................................50

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    Listoftables

    Table1:Industrydataneededtodevelopbasicenergyand

    energyefficiencyindicators...................................................................................................14

    Table2:Keyindicatorstounderstandtrendsinenergyand

    energyefficiencyinindustry.................................................................................................16

    Table3:Residentialdataneededtodevelopbasicenergyand

    energyefficiencyindicators...................................................................................................20

    Table4:Keyindicatorstounderstandtrendsinenergyand

    energyefficiencyinresidential..............................................................................................22

    Table5:Servicedataneededtodevelopbasicenergyand

    energyefficiencyindicators...................................................................................................26

    Table6:Keyindicatorstounderstandtrendsinenergyand

    energyefficiencyinservices..................................................................................................27

    Table7:Passengertransportdataneededtodevelopbasicenergyand

    energyefficiencyindicators....................................................................................................30

    Table8:Keyindicatorstounderstandtrendsinenergyandenergy

    efficiencyinpassengertransport..........................................................................................31

    Table9:Freighttransportdataneededtodevelopbasicenergyand

    energyefficiencyindicators...................................................................................................33

    Table10:Keyindicatorstounderstandtrendsinenergyand

    energyefficiencyinfreighttransport....................................................................................35

    TableB.1:Summaryofvariablesusedforthedecomposition.....................................................47

    List

    of

    boxes

    Box1:TheIEAenergyefficiencyindicatorstemplate..................................................................11

    Box2:Energyefficiencytrendsinmanufacturingsector.............................................................12

    Box3:Impactofindustrialstructure............................................................................................13

    Box4:Thebenefitsofenergyefficiencyindicatorsforcompanies..............................................14

    Box5:Energyefficiencytrendsinresidentialsector....................................................................18

    Box6:Determiningpriorityareafordevelopingendusedata....................................................19

    Box7:Energyefficiencytrendsinservicesector..........................................................................25

    Box8:Energyefficiencytrendsinpassengertransportsector....................................................28

    Box9:Energyefficiencytrendsinfreighttransportsector..........................................................32

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    Acknowledgements

    This work was undertaken by the International Energy Agency (IEA) with funding from the

    Foreign and Commonwealth Office of the United Kingdom Government under the Strategic

    ProgrammeFund.

    Thispaperwasprepared bythe IEADirectorateof Sustainable Energy Policy andTechnology in

    collaboration with the Directorate of Global Energy Dialogue. The lead authors are Nathalie

    TrudeauandIsabelMurray.

    SpecialthanksgotoJeanYvesGarnier,HeadofIEAEnergyStatisticsDivision,PeterTaylor,Headof

    IEAEnergyTechnologyPolicyDivisionandAnnEggington,formerHeadofIEAEurope,MiddleEast

    andAfricaDivision,fortheircontinuoussupportandencouragementthroughouttheproject.

    Editorial and production assistance provided by Anne Mayne and Marilyn Smith added

    significantlytotheoverallqualityofthereport.

    Manyothercolleagueshaveprovidedhelpfulcontributions,particularlyFranoisCuenot,Davide

    dAmbrosio,MichelFrancoeur,PhilippinedeTSerclaesandAnnaZyzniewski.

    TheIEAandtheauthorswishtothanktheFederalStateStatisticsService(Rosstat)oftheRussian

    FederationfortheirclosecooperationthroughouttheprojectwithspecialthankstoAlexander

    Goncharov, Deputy Director, Department of Foreign Statistics and International Cooperation,

    Rosstat.The IEAwouldalso liketothanktheRussianEnergyAgencyfortheircooperationover

    2010onenergyefficiencyindicators.

    The IEA would also like to thank all the participants of the Round Table on Energy Efficiency

    Indicators in Russia, held in Moscow on 20 September 2010, for their valuable insights on this

    issue.TheIEAandtheauthorswelcometheirfeedbackonthisworkingpaperandlookforwardto

    continuedcooperation.

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    Executivesummary

    Fordecades,countriesaroundtheworldhaveusedaggregateindicatorstoconstructabigpicture

    ofpatternsofenergyuse.Oneofthemostcommonlyusedaggregateindicatorsisenergyintensity:

    the measure of energy consumption per unit of gross domestic product (GDP). According to thisindicator,RussialedG8countries

    1inthereductionofenergyintensityoverthe1990s;Russiasenergy

    intensityhavingimprovedby2.5%ayear.From2000to2007,Russianenergyintensityexperienced

    anevenhigherrateofimprovementwithanaverageannualdecreaseofover5%.

    However,theusefulnessofthisindicatorislimitedandcanbemisleading;inactualfact,energy

    intensity is driven by many factors that are not necessarily relatedto energy efficiency. So it is

    perfectly possible to have improving energy efficiency, while still seeing rises in energy

    consumption (the inverse is also true). For instance, given the increase in international

    hydrocarbonpricesduringthe200007periodandtheconsequentgrowth in RussiasGDP, it is

    likely that the decline in energy intensity seen during this time frame was linked more to

    economicgrowthratherthanimprovedenergyefficiency.

    This speaks to the need for mechanisms that can deliver a better understanding of the factors

    thataffectenergy intensity,notonlywithinagivencountrybutonasectorbysectorbasisthat

    adequately reflects that countrys economic landscape. Moreover, as each main sector2 is

    influenced bydifferentunderlyingfactors,differentexplanatory datawillbeneededdepending

    on the sector analysed. Much more detailed and disaggregated data than are currently

    availableinstandardenergybalancesareneededforeachmainendusesectortoassesstherole

    ofenergyefficiencyandthepotentialforfurtherenergysavings.

    Overthepastyears,theInternationalEnergyAgency(IEA)hasbeendevelopingenergyefficiency

    indicators for each enduse sector, with the specific aim of helping to disentangle the various

    factors that drive and restrain energy use. Much of this work has been driven by the fact that

    improvedenergyefficiency isasharedpolicygoalofmanygovernmentsaroundtheworld.Thebenefits of more efficient use of energy are well known and include reduced investments in

    energy infrastructure, lower fossilfuel dependency, increased competitiveness and improved

    consumer welfare. Efficiency gains can also deliver environmental benefits by reducing

    greenhousegasemissionsandlocalairpollution.

    In recent years, the IEA has worked closely with Russia to improve energy data collection in

    general.Whilesomeprogresshasbeenmade,muchmoreworkisrequired:mostdatarequired

    to understand past trends, assess the largest potential for energy savings and enhance energy

    efficiencypoliciesarecurrentlynotavailable.

    Despitethedatagapsidentified,analysisofsomesectorsoftheeconomyindicatesthatthereisa

    large energy savings potential in Russia. In fact, Russia is sometimes referred to as the SaudiArabia of energy efficiency; its vast potential to reduce inefficient or wasteful energy

    consumption can be considered a significant energy reserve. One IEA study estimated that

    energy efficiency improvements in Russias district heating sector, alone, could save 30 billion

    cubic metres per year (bcm/yr) to 50bcm/yr of natural gas (IEA, 2004). Optimisation of its

    transmissionanddistributionsystemsfornaturalgas,coupledwithreductionsingasflaringbyits

    oil and gas industry, could save up to a further 30 bcm/yr. In the industry sector, the energy

    savingsfromtheapplicationofbestavailabletechnologiesisestimatedat750petajoules(PJ).3

    1TheG8countriesincludeCanada,France,Germany,Italy,Japan,Russia,theUnitedKingdomandtheUnitedStates.

    2Themainenergyconsumingsectorstypicallyanalysedincludeindustry,residential,serviceandtransport.

    3 It is important to note that this potential cannot be achieved in the short term. The rate of implementation of best available

    technologies in practice depends on a number of factors, including capital stock turnover, relative energy costs, raw material

    availability,ratesofreturnoninvestmentandregulations.

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    Russia, recognising the benefits of more efficient use of energy, is taking measures to exploit this

    potential.Thepresidenthassetthegoaltoreduceenergyintensityby40%between2007and2020.

    Furthermore,since2008,Russiahastakenimportantstepstowardcreatingalegalandinstitutional

    framework to enhance efficient energy use and supply. A law on energy efficiency, passed in the

    Duma4inNovember2009,introducesseveralimportantmeasuressuchas:restrictionsonthesaleof

    incandescent light bulbs; requirements for electrical products to be labelled according to their

    energyefficiencyrating;provisionsonmandatorycommercialinventoriesofenergyresources;new

    energyefficiencystandardsfornewbuildingsandinstallations;andreductionsinbudgetspending

    onpurchasingenergyresources.Inaddition,energyintensivebusinesseswillberequiredtocarry

    out energysaving research and to adhere to energysaving and energyefficiency programmes.

    This new protocol will also encompass a transition to a longterm tariff regulation and the

    establishmentofasharedinterministerialenergyefficiencyinformationandanalysissystem.

    In the past few years, the IEA worked closely with Russias Federal State Statistics Service

    (Rosstat) and the newly formed Russian Energy Agency to support the development of energy

    efficiency indicators in Russia. This work, which has focused on the industrial, residential and

    transportsectors,iscriticaltoaneffectiveimplementationandmonitoringofRussiasambitiousenergy intensity and efficiency goals. Since 2008, the IEA has been working with Rosstat to

    establishwhatdataalreadyexists,identifythedatagaps,andassessthedataquality.

    ThekeyfindingsoftheIEAworkwithRussiaondevelopingenergyefficiencyindicatorsformthe

    coreofthisreport.Thereportprovidesanoverallassessmentofrecenttrends,thecurrentdata

    situationinRussia,a listofthebasicdataneededtodevelop indicators,andtheusefulnessand

    limitation of some key indicators. It comprises five chapters covering the five main enduse

    sectors:industry,residential,services,passengertransportandfreighttransport.

    The report also includes two methodological annexes. Annex A describes the IEA indicator

    approach, which uses the idea of a pyramid to portray the hierarchy of energy indicators (from

    mostdetailedtoleastdetailed).AnnexBincludestheIEAenergymethodologytoanalysetrendsin

    energyconsumption.

    ThedatasituationinRussiatodevelopindicators

    IndustrysectorThe IEA has found that for industry, the data available from Rosstat national energy surveys and

    Russian National Accounts5 are at a detailed enough level of disaggregation to calculate energy

    indicatorsbasedonphysicalunitsonproductionandprovidean initialassessmentoftheeffectof

    energy efficiency on industry energy consumption. However, several major issues still need to be

    overcometodevelopenergyefficiencyindicators.Forinstance,RosstatusescurrentRussianroublesinitsvalueaddedcalculations,butinordertoestablishanoverallindicatorfortheindustrysector,

    valueaddedinconstantcurrencyisrequired.6TheIEAiscurrentlyworkingwithRosstattoaddress

    this data issue. Questions also exist regarding breaks in Rosstat time series for some data points.

    More difficult issues remain in relation to defining the coverage of energy consumption data (the

    boundariesfortheindustry).Theboundariesissueswilltakemuchlongertoresolveandwilldemand

    4Russiasparliament.

    5TheNationalAccountsisaconsistentandintegratedsetofmacroeconomicaccounts,balancesheetsandtablesbasedonaseton

    internationally agreed concepts, definitions, classifications and accounting rules. It includes data such as GDP, investment, private

    consumptionandlevelofgovernmentdebt.6Valueadded isthedifferencebetweenoutputandintermediateconsumptionforanygivensector/industrythatisthedifference

    betweenthevalueofgoodsandservicesproducedandthecostofrawmaterialsandotherinputsusedinproduction.

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    closecollaborationwithRosstatexpertsandstatisticians.Moredetailedanalysiswillalsobeneeded

    tobetterunderstandRosstatsindustryenergyconsumptiondata.

    ResidentialsectorSome of the necessary data to establish aggregate energy indicators for the residential sector are

    available for Russia from national annual surveys undertaken by Rosstat. These data include floor

    area,numberofhouseholdsandsourceofspaceheating.NewquestionsaddedtoRosstatsNational

    Household Income Survey 2010 will start to provide data required to build energy efficiency

    indicators.Thesurveywillcollectinformationonthestock,ageandenergyefficiencyrankingoflarge

    householdappliances,aswellasonthetypeoflightbulbsused.Thenationalsurveywillprovidedata

    for2010andbeyondforthesenewdatapoints,criticalforabetterunderstandingoftrendsinenergy

    consumption of appliances. This national survey will also continue to collect data on the size of

    dwellingandheatedfloorarea,yearofconstructionandtypeofheatingequipment.

    Whiletheexpansionofthesurveyisapositivestepindevelopinganenduseenergydatabaseand

    assessing trends inresidential energy andenergy efficiency,additional data collection is requiredforotherendusessuchasspaceheatingandcooling,waterheatingandsmallappliances.

    ServicesectorServicesisclearlythemostdifficultsectorinwhichtocollectdata.Atpresent,thereisaseriouslack

    of detailed data in Russia, making it difficult to analyse trends in service energy consumption.

    Russiaisnotuniqueinthisregard;mostIEAmembercountrieslackdetailedendusedataforthe

    sector.Availabledata inIEAmembercountriesshowthatthepotentialforenergysavings inthe

    servicesectorvarieswidelyfordifferentenduses.Assuch,indepthanalysisattheenduselevel

    isneeded to develop indicatorsthat can helpto define the most importantpotential for energy

    efficiencyimprovementsandsupportthedevelopmentofrelevantpolicies.

    TransportsectorMuch more work is needed in Russia to understand the structure and trends of energy

    consumptioninthetransportsector.Analysisoftrendsinenergyandenergyefficiencyrequirea

    separate analysis for passenger and freight transport, as each is influenced by different

    underlying factors. In Russia, the necessary disaggregated data are not available for energy

    consumption,andactivitydataareonlyavailableforsometransportmodes.

    ManydatasourcesexistsbeyondofficialRosstattransportsectordata,whichcangoalongwayto

    completing the picture of structure and trends of energy consumption especially in terms of

    individual automotive transport,one of thefastestgrowing sectors in IEA member countries and

    likely in Russia, too. Car registration and the annual car inspection process could provide an

    effectivewaytoenhancethedataondrivingtrendsandautomotivestock.Giventhesesystemsare

    alreadyinplacetogatherthisimportantinputdata,allthatmaybeneededisacoordinatingbody

    or agency to set up a data collection system. Data estimates and models are also available from

    various research institutes. The IEA had very useful discussions and preliminary exchange of

    informationwiththeScientificandResearchInstituteofMotorTransport(NIIAT)inMoscow.

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    Introduction:theuseofindicatorstounravelthe

    complexityofenergyconsumption

    Governments are uniquely positioned to establish, through policy implementation, theframeworks within which energy is both produced and consumed across many socioeconomic

    levels. As governments around the world tackle the complex and intertwined challenges of

    improvingenergysecurityandreducinggreenhousegas(GHG)emissionsassociatedwithenergy

    production and consumption while also supporting economic development objectives two

    thingsareincreasinglyclear:

    Ensuringa better use of the worldsenergyresourceswillrequirepolicies that encompassawiderangeofoptions.Analysisshowsthatimprovingenergyefficiencyisoftenthemostcost

    effective,provenandreadilyavailablemeansofachievingthisgoal.

    Good quality, timely, comparable and detailed data that go well beyond those currentlyincluded instatisticalenergybalances,arenecessarytoestablishandmaintainsoundpolicy.

    These data must reflect the distinct characteristics of economic activity and resources

    availableineachcountry.

    For the overall economy, aggregate indicators such as total primary energy supply (TPES) and

    totalfinalenergyconsumption(TFC)perGDPisoftenusedtoconstructabigpictureofcurrent

    patterns of energy use. Aggregate energy indicators have the advantage that they are often

    readilyandwidelyavailable.Thus,theycanrevealhighleveldevelopmentsinenergyuseandcan

    be constructed to facilitate basic crosscountry comparisons. However, they could often be

    misleading and consequently it would be incorrect, to rank energy efficiency performance

    accordingtoacountrysTPESorTFCperGDP.

    Inordertodevelopestimatesofoverallenergyefficiency,detaileddataarerequiredforthemain

    enduse sectors (industry, residential, services and transport). As each sector is influenced by

    differentunderlyingfactors,different explanatorydatawillbeneededdependingonthesector

    analysed.Recenteffortsbyseveralcountriestocollectmoredetailedendusedatahavehelped

    indevelopingindicatorsthatcanbeusedtounderstandpasttrends,assesspotentialforenergy

    savingsandenhanceenergyefficiencypolicies.

    Understandpasttrends:Energybalancedataforagroupof11IEAmembercountries7showthat

    energy consumption increased by 22% from 1973 to 2006. More importantly, detailed enduse

    dataavailableforthese11countriesdemonstratethatwithoutimprovementinenergyefficiency

    overthesameperiod,energyconsumptionwouldhavebeen63%higherin2006.

    Assesspotential

    for

    energy

    savings:Detailed enduse data and indicators are equally essential

    for assessing the further contribution of energy efficiency. IEA estimates show that large

    potentialsremainacrossallsectorsoftheeconomy.

    Enhance energy efficiency policies: This capacity to track trends and identify potential savingsmakes detailed enduse data and energy efficiency indicators key to launching and monitoring

    moreeffectiveenergyefficiencypolicy.

    An analysis of the impacts to date of energy efficiency policies implemented by IEA member

    countries reveals that effective policies do make a difference. In each of the main energy

    consumingsectors,thereisevidenceofimprovedefficiency,mostofwhichalsoresultsinreduced

    7Australia,Denmark,Finland,France,Germany,Italy,Japan,Norway,Sweden,theUnitedKingdomandtheUnitedStates.

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    carbon dioxide (CO2) emissions. In some cases, however, unexpected changes in consumption

    patternswithinagivensectororsubsectorreducetheoverallimpactofefficiencygains.

    Box1.TheIEAenergyefficiencyindicatorstemplate

    Whileitisclearenergyefficiencypolicieswork,thefactisthatcurrentlyavailableenergydataare

    a poor foundation for developing an indepth understanding of how or why or indeed, for

    analysing which measures are most effective and warrant broader implementation. This fact

    underlinestherealitythatexistingdataand informationaretoosparsetopreciselyanalysethe

    impactofspecificmeasures.

    Clearly, more data and different kind of data are needed to support the strategic

    development,implementationandevaluationofenergyefficiencypolicies.

    This paper examines various energy and energy efficiency indicators their usefulness and

    limitationsanddescribes:

    Thesetofdataneededtocalculatekeyenergyandenergyefficiencyindicators; AvailabledatainIEAmembercountriesandinRussiafromthissetofdata;and Whatenergyandenergyefficiency indicatorscanbederivedwiththissetofdata,andwhat

    thoseindicatorsreveal.

    Tofacilitate the reporting ofcomparabledata acrossall IEA membercountries, theIEA has worked

    with the ODYSSEE Network (European Union) and the AsiaPacific Economic Cooperation (APEC) to

    develop a standard energy efficiency indicators template. The template (which is similar to and

    buildsonthesuccessoftheIEAannualenergystatisticsquestionnairesoffuels)establishesuniform

    system boundaries, data definitions and methodologies specific to energy consumption and other

    datarelatedtoenergyefficiency.

    Earlyuse of this template by member countries has already allowed the IEA Secretariat to define a

    seriesofdisaggregateenergyindicatorsthataimtocapturekeydatarelevanttoeachmajorsector.

    Generally, these disaggregate indicators probe deeper than energy balances by focusing on activity

    levels,structuraleffects,energyefficiencytrendsandpotentialforfutureenergysavings.

    Suchindicatorsprovideamuchmoreeffectivemeansoftrackingtheevolutionofenergyusewithina

    countryandconductingcomparativeanalyses.Theycanhelptoidentifyemergingtrends inenduse

    sectorsincludingthefactorsbehindincreasingenergyconsumptionandthosethatrestrainit.They

    also help to uncover areas that hold the greatest potential for improving energy efficiency and the

    overallscopeforfurtherenergysavings.Ultimately,indicatorscanthusbeusedtoshapeprioritiesfor

    futureactionsandtomonitorprogress.

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    Industrysector

    The industry sector covers the manufacturing sector (the manufacture offinished goods and

    products),miningandquarryingofrawmaterialsandconstruction.Powergeneration,refineries

    andthe

    distribution

    of

    electricity,

    gas

    and

    water

    are

    excluded

    from

    the

    industry

    sector.

    Russias industrial sector is vast, including major enterprises in mining, energy, automotive,

    defence,construction,communication,consumerdurables,constructionequipmentandtextiles.

    ButRussias legacyof itsSovietpast is thedominanceofheavy industrysuchas ironand steel,

    petrochemicalsandaluminiumallenergyresourceintensive.Afterhavingbeensetbackbythe

    global economic crisis of 2008, Russian industrial production grew an estimated 11% in 2009.

    Industrial output in Russia rose by 7.8% in January 2010, a sign that economic recovery was

    strengthening in Russia. While the production of consumer goods remained flat or increased

    marginally,productionofcarsandtrainswitnessedseveresetbackscomparedto200809levels.

    Becauseof itsSoviet legacy,Russian industryneedstorestructure,streamlinecostsandensure

    that its products meet demand in the most economic and environmentally sound way. Thehandful of energy efficiency success stories in Russias industrial sector illustrates how

    competitiveforcesspurthisonrelativetoregulatemonopolisticmarkets.Russianindustryisslow

    inrealising itsenergyefficiencypotentialprimarilyduetoalackofawarenessamongmanagers

    and insufficient supply of longterm capital to finance energy efficient modernisation (World

    Bank, 2008). Russia is one of the country with the largest energy savings potential for the five

    most energy intensive industry (iron and steel, cement, chemicals and petrochemicals,

    aluminiumandpulpandpaper)(IEA,2008;IEA,2009;IEA2010).Inaddition,companiesinseveral

    sectorslacktheincentivetosaveenergybecauseproductpricesaregrowingfasterthanenergy

    tariffs. In this regard, the continuation of electricity and gas sector reforms are critical to

    achievingthissectorsenergyefficiencypotential.

    Box2.Energyefficiencytrendsinmanufacturingsector

    8Fuelprocessingindustriesandfuelsusedasfeedstockarenotincludedintheanalysis.

    9 IEA 21 includes Australia, Austria, Belgium, Canada, Denmark, Finland, France, Germany, Greece, Italy, Japan, Korea, the

    Netherlands,NewZealand,Norway,Portugal,Spain,Sweden,Switzerland,UnitedKingdomandtheUnitedStates.

    Globally, energy consumption in the manufacturing sector increased by 29% between 1990 and

    2008.8 In 2008, it accounted for 29% of TFC and 37% of enduse sectors CO2 emissions. In Russia,

    manufacturingenergyconsumptiondecreasedbyabout29%between1993and2008,whileenergy

    consumptioninthefivemostenergyintensiveindustriesdecreasedonlyby2%.

    An analysis of the manufacturing sector for 21 IEA member countries9 indicates that buoyant

    economicgrowthandhighenergypriceshaveplayedarole inimprovingenergyefficiency.Inorder

    tosatisfyincreaseddemandforcommodities,countriesaddednew,moreefficientcapacity,thereby

    reducing the share of smaller, less efficient production units. Energy consumption in those 21 IEA

    member countries would have been 29% higher in 2006 than it was without the energy efficiency

    improvementsinthesectorsince1990.

    DespitetheimpressiverecentefficiencygainsinIEAmembercountries,themanufacturingsectorstill

    shows considerable potential for further energy savings. The estimated global savings for the five

    most energyintensive manufacturing sectors (pulp and paper, chemicals and petrochemicals, iron

    andsteel,aluminium,andcement)are15PJperyearenoughtomeettheannualenergyneedsof

    industry,transportandhouseholdsinRussia.

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    AvailabilityofindustrydatainRussiatodevelopindicators

    To effectively assess the developments in energy efficiency trends, the impact of energy

    efficiency measures and the further potential for energy savings in the industry sector, the

    followingdataarerequired:

    Detailedenergyconsumptiondatabyindustry; Valueaddeddatainconstantcurrency;and Physicalproductionofkeycommodities,wherepossible.While energy consumption data are usually available from the energy balances of countries

    (althoughonlyatthetwodigitInternationalStandardIndustrialClassification[ISIC]level),value

    addeddataarenotalwaysavailable(orareavailablebutnotforthesame levelofdetailasthe

    data for energy consumption). Value added in constant currency by industry allows the

    development of indicators for heterogeneous industry, and are required to aggregate the

    detailedindicatorstoassessenergyefficiencyforthetotalindustrysector.

    Box3.Impactofindustrialstructure

    In Russia, Rosstat has been collecting for numerous years industryrelated data. Rosstats 11 TER

    Form(Rosstatenergyconsumptionquestionnaireforindustry)providesenergyconsumptionatthe

    fourdigit ISIC levelaswellastheproduction inphysicalunitsforthesame industrialbreakdown.

    These dataareavailableonanannualbasisatboth regionalandnational levels.The information

    fromthe11TERFormcanbeusedtodevelopindustryspecificindicators,andprovideaproxyfor

    theevolutionofenergyefficiency.Thelongtimeseriesavailableallowsanalysisoftheevolutionof

    energyefficiencyatadetailedlevelofsectoraldisaggregation.However,thesemultipleindicators

    do not provide an industrywide assessment of how energy efficiency in each industry sector

    influencedthetrendsinenergyconsumptionfortheoverallindustry.

    Physical units of production are the preferred activity variable to build detailed industry

    indicators.However,foranoverallenergyefficiencyindicatorfortheindustrysectorasawhole,aggregation of the various industryspecific indicators is required. Given that physical units of

    production cannot be added together (one tonne of steel cannot be added to one tonne of

    clinker),avalueaddedapproachisusedfromeachsubsectortoprovideacommonbasis.

    In doing so, it is essential to use value added in constant currency to avoid including a bias

    inducedbyfluctuationsonthemonetarymarket.Valueadded,incurrentcurrency,areavailable

    fromRosstatsNationalAccountsatthefourdigitISIClevel.However,thedeflatortoconvertthe

    currentvaluestoconstantonesisonlyavailableforthemining,manufacturingandconstruction

    sectors.Deflatorsforthedifferentmanufacturingsectorsarenotavailable.

    TheenergyconsumptiondatafromRosstatsForm11TERandthevalueaddedfromtheNational

    Accounts, if develop in constant roubles, would allow the development of an overall energy

    Thevalueaddeddatabyindustryarealsorequiredtoanalysetheimpactofstructuralchangesinthe

    sector. This information is essential when trying to understand trends in energy consumption, or

    whenperformingcountrycomparisons.

    Analysis shows that IEA member countries with high shares of energyintensive industries (such as

    cement and iron and steel) usually rank among the most intensive countries. However, if those

    countrieshadthesamestructureastheaverageIEAcountries,theaggregatemanufacturingintensity

    wouldbereducedconsiderably;byover20%inmanycases.

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    OECD/IEA2011 DevelopmentofEnergyEfficiencyIndicatorsinRussia

    Page|15

    Dataneededtodevelop

    indicators

    NumberofIEAmember

    countriesreportingthedataDataavailablefromRussia

    Energy

    use

    Value

    added

    Commodity

    productionEnergyuse

    Value

    added

    Commodity

    production

    Paperandpaperproducts 27 17 n.a. Yes No n.a.

    Pulp 0 0 28 Yes No Yes

    Paper 0 0 28 Yes No Yes

    Publishing,printingand

    reproductionofrecordedmedia

    8 18 n.a. Yes No n.a.

    Chemicalsandchemical

    products

    28 24 n.a. Yes No n.a.

    Rubberandplasticsproducts 14 24 n.a. Yes No n.a.

    Nonmetallicmineralproducts 28 25 n.a. Yes No n.a.

    Cement 10 0 28 Yes No Yes

    Clinker 0 0 0 Yes No Yes

    Basicmetals 28 23 n.a. Yes No n.a.

    Castingofironandsteel 28 0 28 Yes No Yes

    Castingofpreciousandnon

    ferrousmetals

    0 0 n.a. Yes No n.a.

    Aluminium 0 0 0 Yes No No?

    Motorvehiclesandother

    transportationequipment

    23 23 n.a. Yes No n.a.

    Othermanufacturing 28 21 n.a. Yes No n.a.

    Notes:n.a.=notapplicableasthesectorasdefinedinthetableistooheterogeneoustohaveasinglemeasureofphysicalproduction.

    IEAcountriescoverageindicatesthenumberofIEAmembercountriesforwhichdataarecurrentlyavailablefrom1990to2006intheenergyindicatorsdatabase.AstheIEAhasnotyetreceivedvalueaddeddatainconstantcurrency,thevalueaddeddataareindicated

    asnot beingavailable fromRussia. Coveragefor Russia is based onIEA knowledge of the data situation in Russia for 2000onward;

    thesehavebeenvalidatedbyRosstat.

    Keyindicatorsfortheindustrialsector

    InformationcollectedthroughtheIEAenergyefficiencyindicatorstemplateisusedtodevelopenergy

    andenergyefficiencyindicatorsthatexplainthechangesinenergyconsumptionoveraperiodoftime.

    Keyenergyandenergyefficiencyindicatorsthatcanbedevelopedwiththedatacollectedthroughthe

    template,aswellasthepurposeandlimitationofthoseindicators,arepresentedinTable2.

    Moredetailedindicatorscanbebuiltbycollectinginformationattheprocesslevelforeachsubindustryandfacilitycharacteristics.However,suchdataareavailableonlyforveryfewcountries

    andforalimitednumberofsubindustries.

    Itisalsopossibletocoupletheinformationonenergyconsumptionwithdataonenergypricesin

    manufacturing, energy expenditures and capacity production to analyse the impact of these

    factorsonthetrendsinenergyconsumption.

    Insomemanufacturingsectors,portionoftheenergyconsumption is influencedbyweather

    conditions.Theinfluenceonenergyconsumptionisdifferentfromindustrytoindustry.Given

    the very limited information available on the impactofweather in industry,and the lack of

    internationally recognised methodology to perform such an adjustment in the industry, the

    IEA methodology does not take into account weather conditions in analysing themanufacturing sector.

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    OECD/IEA2011 Developmentof

    Page|17

    Indicator Datarequired Purpose Limitation

    ENERGYIND

    ICATORS Industrysectors

    energyconsumption

    byunitofvalueadded

    Energyconsumptionbyindustrysector.

    Correspondingvalueadded(inconstantcurrency).

    Indicatethegeneralrelationshipofenergyusetoeconomicdevelopment.

    Mayhidesomeimpo(butthisimpactwillb

    detailedenergyandv

    Valueaddedareinfluareunrelatedtochan

    production.

    ENERGYEFFICIENCYINDICA

    TORS

    Industrysector energy

    usebyunitofphysical

    production

    Energyconsumptionbyindustrysector.

    Correspondingphysicalunitof

    production.

    Oftencalledthespecificorunitenergyconsumption.

    Indicatetherelationshipofenergyusetophysicalproduction.

    Atthedisaggregatedlevel,cangiveabettermeasureofthetechnical

    efficiencyofaparticularproduction

    process.

    Itisnotpossibletocounits.

    Cannotprovideanagthewholeofindustry

    Decompositionof

    changesinindustry

    energyconsumption

    Energyconsumptionbyindustrysector

    andenergysource.

    Correspondingphysicalunitof

    production(if

    available).

    Correspondingvalueadded(inconstant

    currency).

    Quantification ofthefactorsunderlyingthechangesinenergy

    consumptionoveradefinedperiodof

    time.

    Changesinenergyconsumptionaredecomposedbetweenindustry

    structureeffect,energymixeffect,

    andspecificintensityeffect(aproxyof

    energyefficiency).

    ThisisthebestindicatorfortotalindustrythatcanbedevelopedwiththedatarequiredintheIEAenergy

    efficiencyindicatorstemplate.

    Thisproxyforenergynotrelatedtotechni

    climaticconditionsa

    withinafacility).

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    DevelopmentofEnergyEfficiencyIndicatorsinRussia OECD/IEA2011

    Page|18

    Residentialsector

    Theresidentialsectorincludesthoseactivitiesrelatedtoprivatedwellings.Itcoversallenergy

    usingactivities inapartmentsandhouses, includingspaceandwaterheating,cooling, lighting

    and

    the

    use

    of

    appliances.

    It

    does

    not

    includepersonal

    transport,

    which

    is

    covered

    in

    the

    transportsector.

    Between 1993 and 2004, residential energy consumption in Russia was greater than for the

    industrysector,as istypicalforlowerincomecountriesinharshclimates.However, in2005the

    commercialenergyconsumptiondataappeartohavebeenreadjustedupward,andresultedina

    dramaticreductioninenergyconsumptionintheresidentialsector.Asaresult,in2005,Russian

    TFCintheindustrialsector(5169PJ)surpassedthatoftheresidentialsector(4628PJ).Following

    this reduction, according to IEA data based on annual submissions from Rosstat, residential

    consumptionhasremainedrelativelyflatoverthe2005to2008period.

    On a percapita basis, residential energy consumption roughly equals that in Canada, even

    thoughCanadahasthreetimesRussiaspercapitafloorspaceandelectricappliancesare largerand more widespread. Thus, Russian residential energy consumption is at least twotothree

    times more energy intensive than Canadas. The reasons are known: lack of consumer control

    over heat regulation, low share of private ownership of apartments (landlords usually having

    littleinterestininvestinginenergyefficiencyimprovements)andpricesubsidies.Largepotential

    for energy savings exists in the residential sector. A study from the IEA estimated that energy

    efficiencyimprovementsinRussiasdistrictheatingsectorcouldsave30bcm/yrto50bcm/yrof

    naturalgas(IEA,2004).

    The most significant barriers to energy efficiency in residential housing relate to building

    standards, public behaviour and difficulties in organising and financing energy efficiency

    improvementsincommonareas(WorldBank2008).

    Box5.Energyefficiencytrendsinresidentialsector

    11IEA 19 includes Australia,Austria,Canada,Denmark, Finland, France,Germany,Ireland,Italy,Japan,Korea, theNetherlands, New

    Zealand,Norway,Spain,Sweden,Switzerland,theUnitedKingdom,theUnitedStates.

    Globally,residentialenergyconsumptionincreasedby20%between1990and2006;itaccountedfor

    28% of TFC in 2006 and 20% of enduse sectors CO2 emissions. In Russia, residential energy

    consumptiondecreasedby32%between1993and2006,andaccountedfor26%ofTFCin2006.

    Detailedendusedatafortheresidentialsectorareavailablefor19IEAmembercountries,11

    allowing

    a deeper analysis of the factors influencing residential trends in energy consumption. The analysis

    indicates that the low growth in energy requirements for space heating per capita reflects an

    impressive19%improvementinenergyefficiency.Infact,efficiencyimprovementsoffsetmostofthe

    increaseinenergyconsumptionarisingfromtrendstowardlargerdwellingsizesandfeweroccupants

    perdwelling.The analysis also reveals a significant shift in appliances energy consumption. The share of large

    appliances (e.g., refrigerators, freezers, dishwashers and clothes washers) in total appliance energy

    consumptiondroppedfrom47%in1990toonly28%in2006.Increasingownershipofawiderangeof

    smallappliances(e.g.personalcomputersandmobilephones)wasthekeyfactordrivingtherise in

    residentialelectricityconsumptionwhichisupby41%.

    Overall, residential energy consumption in these 19 IEA member countries increased by 15% since

    1990;almosthalfofthisincreasewasduetothegrowthinenergyconsumptionofappliances.

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    AvailabilityofresidentialdatainRussiatodevelopindicators

    Total residential energy consumption, by energy source, is available from energy balances. As

    each enduse is influenced by different factors, the analysis of energy efficiency trends in the

    residential sector requires, at a minimum, detailed information at the enduse level, and

    associated activity data. Furthermore, as space heating is greatly influenced by climatic

    conditions,notably in countries with coldclimates such asRussia,an adjustment is required to

    accountfortheyearlyvariationinweatherconditions.

    Fordevelopingpolicyrelevantindicatorsintheresidentialsector,thefollowingdataarerequired:

    energyconsumptionbymajorendusesandbyenergysources; mainactivityvariablesforthesector,includingnumberofhouseholdsandresidentialfloorarea; information on the stock and efficiency not only of large appliances, but also of small

    appliancesgiventheirgrowingimportance;and

    informationonheatingandcoolingdegreedaystoadjustforweatherconditions.SomeactivitydataareavailableforRussiafromRosstatsNationalHouseholdsIncomeSurveyon

    anannualbasisforseveraldecades.Theseincludenumberofhousesandfloorareabydwelling

    type and year of construction, heated floor area and type of heating system. The survey also

    collects informationontheaccessofhouseholdstotheelectricityandgasgrid,and ifdwellings

    areconnectedtothedistrictheatingsystemorhaveindividualheatingdevices(andwhichenergy

    sourceisused).

    The IEA is encouraged by the new questions Rosstat included in its annual Household Budget

    Survey. Starting in 2011, the survey will include questions on: additional heat sources used by

    households;meteringdevices;numberandtypeoflightbulbs;numberofappliancesandyearof

    acquisition;efficiencyranking;andclassoflargeappliances.Thesurvey,whichwillbeconducted

    in2011,willprovidedatafor2010andbeyondforthesenewdatapoints.

    Despitethesepositivedevelopments,theminimalsetofdatarequiredtodevelopenergyefficiency

    indicatorsisnotavailableforRussia.Moreinformation,attheenduselevel,isnecessary.

    Box6.Determiningpriorityareafordevelopingendusedata

    DatathatIEAmembercountriesarerequiredtoreporttotheIEAthroughtheenergyefficiency

    indicators template, as well as the number of countries that are currently able to provide the

    dataarepresentedinTable3.ItalsopresentswhichdataarecurrentlyavailablefromRussia.

    Even in IEA member countries, developing the data for each enduse is a challenge and can be

    resource intensive (both in term of human and financial resources). The development of basic

    indicatorscanhelptoidentifywhichenduseshouldbeapriorityforenergyefficiencyinitiativesand

    policiesintheresidentialsectorandwheretostartintermsofdatacollectionstrategy.Oncepriority

    areas are determined, efforts should first concentrate on these enduses. For example, if space

    heatingisapriorityarea,thensupplementaryinformation(suchastypeofheatingdevice,insulation

    of houses, age of capital stock and efficiency rating of heating equipment) could be collected to

    developindepthindicators,allowingthedevelopmentoftargetedactions.

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    DevelopmentofEnergyEfficiencyIndicatorsinRussia OECD/IEA2011

    Page|20

    Table3:Residentialdataneededtodevelopbasicenergyandenergyefficiencyindicators

    DataneededtodevelopindicatorsNumberofIEAmember

    countriesreportingthedata

    Dataavailable

    fromRussia

    Energyconsumptionby:

    Energysource 28 Yes

    Enduse(andenergysource) 20 No

    Spaceheating 25 No

    Spacecooling 5 No

    Waterheating 24 No

    Cooking 23 No

    Lighting 21 No

    Appliances 24 No

    Refrigerators 2 No

    Freezers 12 No

    Refrigerator/freezercombinations 13 No

    Dishwashers 13 No

    Clotheswashers 14 No

    Clothesdryers 4 No

    Television/homeentertainment 13 No

    Personalcomputers/informationand

    communicationtechnology5 No

    Otherappliances 24 No

    Totaldwellings

    27 Yes

    Totaloccupieddwellings 27 Yes

    Totaldwellingarea 24 Yes

    Stockofappliances 14 Yes

    Refrigerators 1 Yes

    Freezers 19 Yes

    Refrigerator/freezercombinations 17 Yes

    Dishwashers 15 Yes

    Clotheswashers 17 Yes

    Clothesdryers 5 Yes

    Television/home entertainment 13 Yes

    PC/informationandcommunicationtechnology 4 Yes

    Average unit energy consumption of large

    appliancesstock

    13 No

    Annualheatingdegreedays 27 No

    Annualcoolingdegreedays 6 No

    Note:IEAcountriescoverageindicatesthenumberofIEAmembercountriesforwhichdataarecurrentlyavailablefrom1990to2006

    in the energy indicators database. Coverage for Russia is based on IEA knowledge of the data situation in Russia; which has been

    validatedbytheRussianFederation.

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    Page|21

    Keyindicatorsfortheresidentialsector

    ThedatacollectedthroughtheIEAenergyefficiencyindicatorstemplateprovideabasistobetter

    understandenergyconsumptiontrendsintheresidentialsector,identifymajortrendsbyenduse

    and help identify areas for further investigation. Key indicatorsthat can be developedwith the

    setofdatacollectedthroughtheIEAenergyefficiencyindicatortemplateaswellasthepurpose

    andlimitationofthoseenergyandenergyefficiencyindicatorsarepresentedinTable4.Forthe

    buildingssector(residentialandservices),variationinweatherconditionsmayhaveanimportant

    impactontrendsandlevelofenergyconsumption.Iftheindicatorsaredevelopedwithouttaking

    the climatic conditions into consideration, the trends observed in aggregate indicators may be

    misleading.

    More indicators can be developed by coupling the information on energy use with other data

    such as dwelling type, personal consumption expenditures, dwellings characteristics, energy

    expendituresorresidentialenergyprices.

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    OECD/IEA2011 Developmentof

    Indicator Datarequired Purpose Limitat

    usedasanenergyintensityindicator.

    Someimportantconclusionscanbedrawn

    iftheweather,ownershipofenergyusing

    appliancesanddwellingareaareknown.

    ENERGY

    AND

    ACTIVITY

    IND

    ICATORS

    Residentialenergyconsumptionper

    floorarea

    Energyconsumption.

    Totalfloorarea. Monitorenergyuseintheresidential

    sector.

    Combinedwithenergyuseperhousehold,providesusefulinsightson

    whatmighthavebeenthemaindriverof

    energyconsumption.

    Doesdeve

    Influener

    Residentialenergyconsumptionby

    enduse

    Energyconsumptionby

    enduse.

    Provideanindicationofthetrendsinenergyconsumptionandtherelative

    importanceofeachenduse.

    Provideanindicationofpriorityareastofurtherimprovedatacollectionordevelopenergyefficiencypolicies.

    Proviener

    cons

    Shareoflargeappliancesenergy

    consumptionintotalappliance

    energyconsumption

    Largeappliancesenergy

    consumption.

    Totalappliancesenergy

    consumption.

    Helpunderstandtrendsinenergyconsumptionfortheappliancesenduse.

    Providesanindicationofwhichsegmentoftheappliancemarketisdrivingenergy

    consumption.

    Allowthedevelopmentofmoretargetedpolicies.

    Influeeffici

    ente

    level

    Residentialenduseenergy

    consumptionbyfloorareaor

    households

    Energyconsumptionby

    enduse.

    Numberofoccupieddwellings.

    Occupiedfloorarea.

    Relatedto,butnotidenticalto,theinverseofenergyefficiencies.

    Usedasaproxyforenergyefficiencyinmanycountries.

    Influeinclu

    owne

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    DevelopmentofEnergyEfficiencyIndicatorsinRussia

    Page|24

    Indicator Datarequired Purpose Limitat

    ENERGYEFFICIENCYINDICATOR

    Decompositionofchangesinenergy

    use:activity,structureandintensity

    effects

    Energyconsumptionby

    enduse.

    Population. Dwellingarea. Appliance

    ownership.

    Peopleperdwelling.

    Provideageneralunderstandingofthetrendsthatinfluencedchangeinenergy

    consumption.

    Quantifytheroleoftheactivity,structureandenduseintensitiesonthedevelopmentofenergyconsumption.

    Doesimpa

    Decompositionofchangesinspace

    heatingenergyuse:conversion

    efficiency,dwellingsize,useful

    intensityandoccupancyeffects

    Spaceheatingenergy

    consumptionby

    energysource.

    Dwellingarea. Peopleper

    dwelling.

    Population.

    Allowthequantification oftheusefulenergyintensityeffectontotalenergy

    consumption(aproxyforenergy

    efficiency).

    ThisisthebestindicatorthatcanbedevelopedforspaceheatingwiththedatarequiredintheIEAenergyefficiency

    indicatorstemplate.

    Thiseffec

    effici

    hous

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    OECD/IEA2011 DevelopmentofEnergyEfficiencyIndicatorsinRussia

    Page|25

    Servicesector

    Theservicesector includesactivitiesrelatedtotrade,finance,realestate,publicadministration,

    health,educationandcommercialservices.According to IEA data, energy consumption in Russias service sector increased over 65% during

    the decade between 1998 and 2008. This is largely due to a statistical readjustment in 2005.

    Notably,between2005and2008,Russiasenergyconsumptionintheservicesectorhasincreased

    by17%.GiventhestrongeconomicgrowthRussiaexperienceduntil2008, it isnotsurprisingthat

    itsservicesectorgrewsoquickly.TheglobalfinancialcrisisalsoaffectedRussia,andwecanexpect

    aslowdown inenergyconsumptionbetween2008and2009.IfRussianenergyefficiencypolicies

    areeffectivelyimplementedintothefuture,thiswillbevisibleinitsservicesector.

    Box7.Energyefficiencytrendsinservicesector

    Availability

    of

    service

    data

    in

    Russia

    to

    develop

    indicators

    Energyconsumption,byenergysources,isavailablefortheservicesectorfromcountrysenergy

    balances. The assessment of energy efficiency improvements in the service sector requires, at

    minimum,datafor:

    energyconsumptionbymajorendusesandbyenergysources; main activity variables for the sector including valueadded data in constant currency, floor

    areaandnumberofemployees;and

    informationonheatingandcoolingdegreedaystoadjustforweatherconditions.GiventhatdetailedvalueaddedandemploymentdataareavailablefromRosstatforthemining

    and manufacturing sectors, it is possible that this information is also available for the services

    sector(ISIC5099).Deflatorsareavailablebyservicecategory12

    fromRosstatNationalAccounts

    to convert the value added in current Roubles to constant Roubles. The data situation for the

    service sector in Russia is at par with most IEA member countries. However, it should be

    emphasisedthat,atpresent,theseriouslackofdetaileddatainthissectoracrossallIEAmember

    countriesmakesitdifficulttoanalysetrendsinserviceenergyconsumption.

    Astheservicesectoronlyaccountsfor8%ofTFCinRussia,andgiventhedatalimitationsinthe

    residential andtransportsector, the IEAdoesnot think that serviceshould bethepriorityarea

    fordatacollection.

    12 Bulk and retail trade, maintenance of automobile transport, motorcycles, household goods, and personal items, hotels and

    restaurants,transportandcommunications,financialactivities,realestateoperations,rentalandprovidingservices,stategovernance

    anddefence,socialsecurity,education,healthcareandsocialservices,othermunicipal,publicandpersonalservices.

    Globally, service is, with transport, the fastestgrowing sector with an associated 39% increase inenergyconsumptionbetween1990and2006.In2006,servicesaccountedfor9%ofTFCand12%of

    enduse sectors CO2 emissions. Economic activity is the main driver of energy consumption in the

    servicesector;itisrepresentedbythelevelofvalueaddedoutput.Inrecentyears,highereconomic

    activityhasledtoincreasesinthestockofcommercialbuildingsandtomorepeoplebeingemployed

    inthesector.Bothofthesefactorsincreasedemandforenergyservices.

    At present, a serious lack of detailed data makes it difficult to analyse trends in service energy

    consumption in mostcountries.Thedata available show a rapid increase inelectricity consumption

    andacorrespondingreductionintheshareoffossilfueluse.

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    Page|26

    Data that IEA member countries are required to report through the IEA energy efficiency

    template, as well as the number of countries that are currently able to provide the data, are

    presented in Table 5. The information collected is used to develop basic energy indicators to

    explainthechangesinenergyconsumptionoveraperiodoftime.

    Thisbasicsetofdataisonlyastartingpoint.Itwouldallowtheserviceenergyconsumptiontobeadjustedforweatherconditions,andwouldprovideapreliminaryanalysisofthemainconsuming

    enduses. Collecting this information by type of building (health, schools, warehouses, etc.)

    would support an analysis of the structure of the service sector and allow the development of

    detailedindicatorsthatwouldfacilitatepolicydevelopment.

    Table5:Servicedataneededtodevelopbasicenergyandenergyefficiencyindicators

    DataneededtodevelopindicatorsNumberofIEAmember

    countriesreportingthedataDataavailablefromRussia

    Energyconsumptionby:

    Energysource 28 Yes

    Enduse 3 No

    Spaceheating(andbyenergysource) 3 No

    Spacecooling 3 No

    Lighting 2 No

    Other(andbyenergysource) 3 No

    Totalservicefloorarea 27 No

    Floorareaaddition 27 Yes

    Numberof

    employees 24 Yes

    Servicesvalueadded 14 No

    Annualheatingdegreedays 27 No

    Annualcoolingdegreedays 6 No

    Note:IEAcountriescoverageindicatesthenumberofIEAmembercountriesforwhichdataarecurrentlyavailablefrom1990to2006

    in the energy indicators database. Coverage for Russia is based on IEA knowledge of the data situation in Russia; which has been

    validatedbytheRussianFederation.

    Keyindicatorsfortheservicesector

    Intheabsenceofdetailedinformationonenergyconsumption,activityandotherrelevantdata,

    onlygeneral indicatorscanbecalculatedfortheservicesector.Someofthekey indicatorsthat

    can be developed with the data reported in the template are presented in Table 6. The table

    does not present indicators at the enduse level (which would be similar to those in the

    residentialsector)asonlyaverylimitednumberofcountriescanreportthisinformation.

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    Transportsector

    TransportenergyconsumptioninRussiaisavailablefromtheenergybalance.However,itisnot

    disaggregatedbytransportsegment(passengerandfreight).Asaresult,itisdifficulttomakeany

    conclusions on the energy consumption trends in Russias passenger transport sector. AnyMoscovite can agree that since the early 1990s individual automotive vehicle ownership in

    Moscow has skyrocketed, as evidenced by the major daily trafficjams. Other major cities in

    Russiahaveexperiencedsimilartrends,butMoscowisbyfarthemoststriking.

    Intermsofthetransportsectoroverall includingbothpassengerandfreightandallmodesof

    transport as reported in Russias energy balance, the transport sector saw its energy

    consumptiondroptoitslowestpointin1997atlessthan2800PJ.In1998,energyconsumption

    inRussiastransportsectorjumpedover16%,asignofthehugeeconomicrecoverywhichbegan

    in the second half of that year. Over the period from 1998 to 2008, energy consumption in

    Russiastransportsectorincreased25%.

    Passengertransportsector

    Passengertransportincludesthemovementofpeoplebyroad,rail,waterandair.Roadtransport

    isfurther subdivided into lightdutyvehicles (LDV) andbuses. Onlydomestic airand waterare

    included;internationalairandwatertravelarenotcovered.

    Box8.Energyefficiencytrendsinpassengertransportsector

    AvailabilityofpassengertransportdatainRussiatodevelopindicatorsInmanycountries,passengertransportrepresentsasignificantandgrowingshareoftotalenergy

    consumption. In order to develop useful energy efficiency indicators in this sector, a large

    numberofdataarerequired.IntheIEAenergyefficiencyindicatorstemplate,theminimalsetof

    datarequiredtodevelopindicatorsinclude:

    Energyconsumptionbytransportationmode; Informationonthepassengertransportationfleetbymode(stockofvehicles);13

    IEA19includesAustralia,Austria,Canada,Denmark,Finland,France,Germany,Greece,Ireland,Italy,Japan,theNetherlands,New

    Zealand,Norway,Spain,Sweden,Switzerland,theUnitedKingdomandtheUnitedStates.

    Global passenger transport energy consumption data are not available from a countrys energy

    balances, as energy balances reportonly total transportation. As a result, analysis ofthe sectorcan

    be performed for only 19 IEA member countries.

    13

    For those 19 countries, passenger transportenergyconsumptionbetween1990and2006increasedby24%,withthesharesofthevariousmodes

    remaining quite stable. Lightduty vehicles are, by far, the largest energy consumer, accounting for

    87%oftheenergyconsumption.

    Passengerkilometres (pkm) and the efficiency of passenger transport modes (energy consumption

    perpkm)arethetwomaindeterminantsofenergyconsumption. Bothareaffectedbyawiderange

    of interacting factors such as: occupancy rate of vehicles; distance travelled; density of population;

    vehicleownership;incomelevelsofdrivers;localtransportpolicies;andpriceoffuel.Indicatorsthat

    canbebuiltwithavailabledatafromtheIEAenergyefficiencyindicatorstemplateshowthatonlyone

    factor helped to restrain growth in road transport energy demand: energy efficiency. Energy

    efficiencyforLDVsimprovedby6%since1990.

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    Passengerkilometresbymode;and Vehiclekilometresbymode.TransportenergyconsumptioninRussiaisonlyavailablefromtheenergybalance;thesedataare

    disaggregatedbymode(road,rail,waterandair)butnotbytransportsegment(passengerand

    freight).Asaresult,itiscurrentlynotpossibletodevelopindicatorsforthissector.

    Most activity data are available from Rosstat and disseminated in the publications Main

    IndicatorsofTransportPerformancesinRussia(Rosstat,2010a)andTransportinRussia(Rosstat,

    2010b). For passenger transport, available information includes passengerkilometres, vehicle

    kilometresandvehiclestockforbuses,trainsandairplanes.InformationforLDVisnotavailable.

    As LDV generally represents the most important transportation mode, priority should focus on

    collectingactivitydataforthistransportationmode.

    Activity variables are equally important for developing indicators. As is the case for energy

    consumption, activity data can be collected or estimated through different means. Different

    countries are adopting different strategies to collect or develop passenger transport energy

    consumption and activity data: survey targeting households for LDVs; collecting informationthroughfleetmanagersoroperatorsforbusesandtrains;anddevelopingmodellinganalysisto

    estimate energy consumption. The strategy adopted depends on several factors such as the

    availabilityofdatadrivingenergyconsumption,theexistenceofsurveysthatcanbeamendedto

    includemorequestions,etc.

    The IEA identified potential sources of data that can constitute a starting point for estimating

    energy consumption by mode in the passenger transport sector, such as data available from

    administrative sources e.g. vehicle registration, information collected during the mandatory car

    annualverification,anddataavailablefromresearchinstitutes.Giventhenatureofadministrative

    data,thecollectionofinformationfromthissourcemayrequire(asisthecaseinsomeIEAmember

    countries)anofficialagreementbetweenallthepartiesinvolvedtosupportanadequateuseofthe

    informationandensurethattheconfidentialityofinformationismaintained.

    Data that member countries are required to report to the IEA through the energy efficiency

    indicatortemplate,thenumberofcountriesthatarecurrentlyabletoprovidethedataaswell

    asthedatacurrentlyavailablefromRosstatarepresentedinTable7.Theinformationcollected

    isusedtodevelopbasicindicatorstoexplainthechangesinenergyconsumptionoveraperiod

    of time. Countries would benefit by complementing the data requested in the template with

    moredetailedinformationon,forexample,thevehiclestockturnover,size/classofvehicleand

    travelpatterns.

    KeyindicatorsforthepassengertransportsectorNumerous indicators, providing useful information to better understand the trends in energy

    consumptionandenergyefficiency,canbedevelopedwiththeminimalsetofdataavailablefrom

    theIEAenergyefficiency indicatorstemplate.Thekey indicatorsarepresented inTable8along

    withanexplanationoftheirpurposeandlimitations.

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    Table7:Passengertransportdataneededtodevelopbasicenergyandenergyefficiencyindicators

    DataneededtodevelopindicatorsNumberofIEAmember

    countriesreportingthedataDataavailablefromRussia

    Energyconsumptionby:

    Energysource 25 Yes

    Transportationmode 21 No

    Cars, Sport utility vehicles (SUVs)

    andpersonallighttrucks22 No

    Motorcyclesandthreewheelers 10 No

    Buses 22 No

    Passengertrain 24 No

    Domesticpassengerairplane 23 No

    Domesticpassengerships 5 No

    Passengerkilometres

    by:

    20 No

    Cars,SUVsandpersonallighttrucks 26 No

    Motorcyclesandthreewheelers 6 No

    Buses 23 Yes

    Passengertrain 25 Yes

    Domesticpassengerairplane 20 Yes

    Domesticpassengerships 4 Yes

    Vehiclekilometresby: No

    Cars,SUVsandpersonallighttrucks 23 No

    Motorcyclesandthreewheelers 11 No

    Buses 19 No

    Passengertrain 2 No

    Domesticpassengerairplane 3 No

    Domesticpassengerships 1 No

    Vehiclestocksby:

    Cars,SUVsandpersonallighttrucks 26 No

    Motorcyclesandthreewheelers 24 Yes

    Buses 25 Yes

    Passengertrain 0 Yes

    Domesticpassengerairplane 0 No

    Domesticpassengerships 1 No

    Note:IEAcountriescoverageindicatesthenumberofIEAmembercountriesforwhichdataarecurrentlyavailablefrom1990to2006

    in the energy indicators database. Coverage for Russia is based on IEA knowledge of the data situation in Russia; which has been

    validatedbytheRussianFederation.

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    DevelopmentofEnergyEfficiencyIndicatorsinRussia OECD/IEA2011

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    Freighttransportsector

    Freight transport includes the domestic movement of goods by road, rail, air and ships water.

    Transportthroughpipelinesisexcluded.

    Box9.Energyefficiencytrendsinfreighttransportsector

    AvailabilityoffreighttransportdatainRussiatodevelopindicatorsInordertodevelopusefulenergyandenergyefficiencyindicators inthissector,alargenumber

    of data are required. In the IEA energy efficiency indicators template, the minimal set of data

    requiredtodevelopindicatorsinclude:

    Energyconsumptionbytransportationmode; Informationonthefreighttransportationfleetbymode(stockofvehicles); Tonnekilometresbymode;and Loadfactorsbymode.TransportenergyconsumptioninRussiaisavailableonlyfromtheenergybalance;thesedataare

    disaggregatedbymode(road,rail,waterandair)butnotbytransportsegment(passengerand

    freight). As a result, it is currently not possible to develop indicators for the freight transport

    sector. It is essential to collect or develop the energy consumption information to develop

    indicators. As is the case in the passenger transport segment, different countries are adopting

    different strategies to collect or develop this information such as usage of truck fuel meter;

    collectinginformationthroughfleetmanagersoroperators;anddevelopingmodellinganalysisto

    estimateenergyconsumption.Thestrategyadopteddependsonseveralfactors.

    Activity variables are equally important for developing indicators. While tonnekilometres

    providethebasisfordevelopingfreighttransport indicators, it is importanttocomplementthis

    information with load factors (as there is a strong correlation between changes in load factors

    and changes in the intensity of truck freight haulage) and stock of vehicles. As is the case for

    energyconsumption,activitydatacanbecollectedorestimatedthroughdifferentmeans.

    14WhileairfreighttransportdataarerequestedintheIEAindicatorsdatabase,theanalysisexcludesthismodebecauseoflackof

    dataseparating domesticandinternationaljourney.15

    IEA 19 includesAustralia, Austria, Canada, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Japan, the Netherlands,

    NewZealand,Norway,Spain,Sweden,Switzerland,theUnitedKingdomandtheUnitedStates.

    Asisthecasewithpassengertransport,freighttransport14

    energyconsumptiondataarenotavailable

    fromcountryenergybalancesandtheanalysiscanbeperformedonlyfor19IEAmembercountries.15

    For these 19 countries, freight transport energy consumption increased by 31% between 1990 and

    2006. Trucks are by far the largest energy user, accounting for 83% of the overall freight transport

    energyconsumptionin2006.

    Theenergyintensitiesoftrucks,trainsandshipsvarysignificantly.Forthe19countriesforwhichthe

    information isavailable,trainsare themostenergyefficientmodeoffreighttransport.Onaverage,

    for the 19 countries, it requires 10 times less energy to transport one tonne of goods over one

    kilometre by train than by truck. The difference in intensity between modes has important

    implications for energy consumptiontrends: because of itsmuchhigherenergy intensity, growth in

    truckfreighthaulagedrivesupenergyconsumptionmuchmorequicklythangrowthintrainsorships.

    Consequently, efforts to reduce the intensity of trucking will lead to higher energy savings than

    reductionsintrainsandships.Importantenergysavingscanalsobeachievedbyincreasingtheshare

    ofrail,shipsandairinfreighttransport.

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    Table9:Freighttransportdataneededtodevelopbasicenergyandenergyefficiencyindicators

    DataneededtodevelopindicatorsNumberofIEAmember

    countriesreportingthedata

    Dataavailablefrom

    Russia

    Energyconsumptionby:

    Energysource 24 No

    Transportationmode 21 No

    Freightandcommercialroad

    transport

    22 No

    Freighttrains 4 No

    Domesticfreightairplanes 5 No

    Domesticfreightships 22 No

    Freighttonnekilometres16

    by: 24 Yes

    Freightandcommercialroadtransport 19 Yes

    Freighttrains 0 Yes

    Domesticfreightairplanes 0 Yes

    Domesticfreightships 0 Yes

    Freighttonnestransport17

    by: Yes

    Freightandcommercialroadtransport 6 Yes

    Freighttrains 5 Yes

    Domesticfreightairplanes 4 Yes

    Domesticfreightships 3 Yes

    Vehiclekilometresby:

    Freightandcommercialroadtransport 20 No

    Freighttrains 3 No

    Domesticfreightairplanes 0 No

    Domesticfreightships 0 No

    Vehiclestocks18

    by:

    Freightandcommercialroadtransport 25 Yes

    Freighttrains 0 Yes

    Domesticfreightairplanes 0 No

    Domesticfreightships 0 No

    Note:IEAcountriescoverageindicatesthenumberofIEAmembercountriesforwhichdataarecurrentlyavailablefrom1990to2006

    in the energy indicators database. Coverage for Russia is based on IEA knowledge of the data situation in Russia; which has been

    validatedbytheRussianFederation.

    ActivitydataareavailablefromRosstatanddisseminated inthepublicationsMainIndicatorsof

    TransportPerformancesinRussia(Rosstat,2010a)andTransportinRussia(Rosstat,2010b).The

    16Coversonlylargecompanies;smalltruckingfirmsandindividualownersarenotincluded.

    17Coversonlylargecompanies;smalltruckingfirmsandindividualownersarenotincluded.

    18Coversonlylargecompanies;smalltruckingfirmsandindividualownersarenotincluded.

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    OECD/IEA2011 Developmentof

    Page|35

    Table10:Keyindicatorstounderstandtrendsinenergyandenergyefficiencyinfreighttransport

    Indicator Datarequired Purpose Limitation

    ENER

    GYAND

    ACTIVITYINDICATORS

    Shareoftonne

    kilometresby

    mode

    Freighttransporttonnekilometresbymode.

    Provideassessmentofthechangeintheshareofmodes.

    Provideusefulqualitativeinformationonactivitytrendsinthesector.

    Providequalitativeinformationonhowchangeinactivityinfluencechangeinenergy

    consumption.

    Onlyactivitydenergyefficien

    Tonnekilometasavailability

    typeofgoods

    thecountry.

    Energyuseper

    tonne

    kilometreby

    transportation

    mode

    Freighttransportenergyconsumptionbymode.

    Freighttransporttonnekilometresbymode.

    Energyintensitiesbymodearemeaningfulsummaryindicators.

    Intensitiescanbeusedtohelpdeveloptransportationenergypolicies.

    Stillaffectedbefficiencysuch

    factors.

    Maymaskimpsegment.

    Truckaverage

    loadpervehicle

    Truckaverageloadpervehicle.

    Helpexplainthechangesintruckenergyconsumptionpertonnekilometres.

    Strongcorrelationbetweenchangesinloadfactorsandchangesintheenergyintensityof

    truckfreighthaulage.

    Thisindicator,indicationont

    Theaveragelocompositiono

    ENERGYEFFIC

    IENCYINDICATOR Decomposition

    ofchangesin

    energyuse:

    activity,

    structureand

    intensity

    effects.

    Freighttransportenergyconsumptionbymode.

    Freighttransporttonnekilometresbymode.

    Quantifythefactorsinfluencingchangeinenergyconsumption.

    Doesnotprovchangeinthe

    transportmod

    Moredetailedstrongindicato

    energyefficien

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    Conclusionsandnextsteps

    Developing, applying and deriving benefit from energy efficiency indicators implies a longterm

    commitment to collecting and analysing a broader range of energy data. Many IEA member

    governments have taken decades to establish effective and leastcost data collection systemsbased on strong coordination among the main statistical agency and other departments and

    agenciesandtheprivatesector.

    The IEA is keen to continue its work with Russia in this area. Given the political momentum

    generated by the presidents ambitious energy efficiency goals, the time is ripe for a push

    forward on developing such a coordinated system of data collection for energy efficiency

    indicators.Moreover,thereisnowanincreasingandrealisticunderstandingoftheavailabilityof

    dataneeded(andthegapsindata)tounderpintheprovisionofenergyefficiencyindicators.

    AkeymessagetheIEAhasbeenpromotingindiscussionswithRussiancounterpartsistheneed

    toprioritiserequirementsforenergyefficiencyindicators.Specifically,theIEArecommendsthat

    this be done in consultation between energy experts (who are involved in the design,implementation and monitoring of energy efficiency policies) and statistical and analytical

    experts (who are responsible for the collection and analysis of data). Currently, data collectors

    areoverwhelmedbytheproposalsforcollectionofmanydifferentdata.Moreover,thecreation

    ofanoverlylargeandcomplexsystemofenergyefficiencyindicatorsmayprovetohavealimited

    value added. At this early stage, Russia may derive greater value from a more simple set of

    indicators that concentrate on key aspects of energy efficiency in high energy intensity sectors

    suchasindustry,transportandresidential.

    While the clear commitment at the highest political level in Russia for substantial energy

    efficiencyiswidelyrecognised,thereisnotyetconsensusonthekeyindicatorsneededbythose

    developing energy efficiency policy and monitoring its implementation. Given the crossagency

    natureofenergyefficiencyindicators,itmaybebeneficialtoformacrossgovernmentalworkinggroupto improvecoordination.Theworkinggroupshould ideally includeallthemajorplayers,

    including government departments and institutions, and, where appropriate, research

    institutionsandtradebodies(particularlywheretheseholdrelevantdataoranalyticalexpertise).

    Therecouldbebenefitinaconcretefocus,forexample,suchashavingtheworkinggroupinitially

    explorecoordinationneedsinRussiastransportsector,whichtheIEAfoundtohavethelargest

    data gaps. Russia is not unique in this respect: the transport sector is one of the most difficult

    sector inwhichtocollectreliabledata.TheIEAhassingledouttheapproachesofNewZealand

    and the United Kingdom as best practice examples; both countries have published reports19

    outliningtheirdatacollectionsysteminthissector.

    Thiscrossgovernmentalworkinggroupshouldtake intoaccountwide internationalexperience,including that of the IEA, the European Union and individual countries. A coordinating body

    couldbeidentifiedtotaketheleadonthis,suchastheRussianEnergyAgency.

    The IEA stands ready to continue working with Russia in this important area to ensure the

    effective implementation of its Law on Energy Efficiency and the achievement of its ambitious

    energyefficiencygoals.

    19 Transport Statistics Great Britain, Department of Transport, 2009 Edition; and NewZealand Transport Statistics, Ministry of

    Transport,July2009.

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    AnnexA.TheIEAindicatorapproach

    Governments around the world are facing the complex and interlinked challenges of reducing

    energy consumption and associated GHG emissions while also meeting economic development

    goals. There is a growing recognition that improving energy efficiency is often the mosteconomic,provenandreadilyavailablemeanstodothis.

    Trackingtrendsinenergyefficiencyisnotaneasytask.Whileoverallenergyconsumptionmaybe

    increasingduetorobustGDPgrowthand/oranexpandingpopulation,energyefficiencymaywell

    be improving. Energy efficiency is only one of a number of factors that impact energy use. As

    such, it is possible to have improving energy efficiency while still seeing increases in energy

    consumption. Some factors that may cause (explain) growth in energy consumption include:

    populationgrowth;acolderorwarmerthanusualwinter;achangeinstructureoftheindustrial

    sector; an increase in wealth (as measured by GDP per capita); an increase in the level of

    ownershipofappliancesand/orequipment;andachangeinconsumerbehaviourorpreferences.

    Disentangling these various factors that drive and restrain energy use is the key purpose of

    energyindicators.Inthisrespect,energyindicatorsprovidepolicymakerswiththetoolstomake

    informed policydecisions to target the key enduse area or consumer behaviourthat isdriving

    energyconsumption.

    ThebenefitsoftheIEAapproach

    The IEA indicator approach uses a pyramid that portrays a hierarchy of energy indicators from

    mostdetailed(atthebottomofthepyramid)to leastdetailed(atthetopofthepyramid).This

    illustrates conceptually how the most detailed and disaggregated data and indicators can be

    combined to reveal the more aggregated ones higher up on the pyramid. This hierarchy is

    important because it shows how detailed changes (which may be the result of policies,technological progress, structural reform or behavioural change) can be linked to higher order,

    moreaggregatequantities,showing how the formeraffects the latter.With thishierarchy,one

    can better explain more aggregate changes in energy use in terms of components and more

    carefullychoosethedepthofanalysisrequired.Thishierarchywillbedifferentfromcountryto

    countryasitdependsonthedataavailabilityandthequestionsthatneedtobeanswered.

    Examples: The five most energy intensive industrial sectors are pulp and paper, chemicals and

    petrochemicals, ironandsteel,cementandaluminium.Becauseoftheirmuchhigherenergy

    intensity, growth in these industrial sectors will drive up energy consumption much morequicklythangrowthinlessintensivesectors.Forexampleanincreaseincement,usingabout

    20Megajoules(MJ)perunitofGDP,willhaveamuchbiggerimpactonenergyconsumption

    thananincreaseinthefabricationofmetalproducts,usinglessthan5MJperunitofGDP.

    In the iron and steel sector, a relative decrease in the use of open hearth furnace (a veryintensiveprocess)willhaveadownwardeffectonenergyconsumption.Soadecreaseinthe

    iron and steel intensity (in terms of energy use per unit of production) will not necessarily

    indicate an improvement in energy efficiency in a particular production process: it can be

    causedbyaswitchofproductionfromopenhearthfurnacestoblastfurnaces.

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    TheIEAindicatorpyramid

    Thetoprowofthepyramid(themostaggregateindicator)isdefinedastheratioofenergyusetogrossdomesticproduct(GDP).Alternatively,itcouldbedefinedastheratioofenergyuseto

    anothermacroeconomicvariable,suchaspopulation.

    The second row of elements can be defined as the energy intensity of each major sector, asmeasuredbyenergyuseperunitofactivityineachsector.

    Lower rows represent the subsectors or enduses that make up each sector and progressivelyprovidemoredetaile.g.characterisingparticularprocessesorappliances.

    Joiningeachlevelofenergyintensitiesarestructuralvariablesthatindicatehowtoweightthese

    intensitiestoformamoreaggregateparameterofintensityoruse.Descendinglowerdownthe

    pyramidrequiresmoredataandmorecomplexanalysistoreaggregatebackuptoahigherlevel.

    However, each descentalso provides a better measure of technical energy efficiency defined

    foraspecifictechnology,processand/orenduse,butalsorequiredmoredata.

    FigureA.1:TheIEAindicatorpyramid

    Note:Indicatorsshownarejustonexampleamongthoseavailable.

    Degree

    ofdisa

    ggregation

    TFC/GDP

    Sectoralenergy

    intensity

    Enduseenergyintensity

    Unitenergyconsumption

    Aggregated

    indicatorsIEAstatistics

    Disaggregatedindicators IEAindicatordatabase

    Process/appliance

    indicators

    LimitedIEA

    indicators

    D a t a requirement

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    Exampleofindicatorpyramid:IndustrysectorTheindustrysectorcoversthemanufactureoffinishedgoodsandproducts,miningandquarrying

    of raw materials, and construction. Power generation, refineries and the distribution of

    electricity,gasandwaterareexcluded.

    The industrialpyramidshowshowthissectorcanbedisaggregatedandthedifferent indicators

    thatcanbeusedateachlevel(FigureA.2).Thisisonlyanillustrationandmaynotberelevantfor

    allcountries.

    FigureA.2:Industrysectorpyramid

    Note:Russiahasverydetailedenergyandproductionstatisticsforindustry.However, it isnotpossibletoaggregatethemtohigher

    levels in the pyramid due to lack of associated GDP data in constant currency. For IEA countries, the IEA database contains

    informationatLevel2for21membercountriesintheindustrialsector.Somecountrieshavemoredetailedinformationthanwhatis

    availableintheIEAdatabase.

    Level1:EnergyuseperGDP.

    Structureadjustedintensity.

    Level2:Energyuseperunitofpr