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    Evaluating the co-benefits oflow-income energy-efficiency

    programmes

    Results of the Dublin Workshop, 27-28 January 2011

    W O R K S H O P R E P O R T

    Grayson Heffner, Nina Campbell

    June 2011

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    Results of the Dublin Workshop, 27-28 January 2011

    W O R K S H O P R E P O R T

    Grayson Heffner, Nina Campbell

    June 2011

    This workshop report was prepared or the frst o the IEA uel poverty workshops

    held in January 2011. It was drated by the IEA Energy Efciency Unit. This paper reects

    the views o the International Energy Agency (IEA) Secretariat, but does not necessarily

    reect those o individual IEA member countries. For urther inormation,

    please contact the Energy Efciency and Environment Division at: [email protected]

    Evaluating the co-benefits of

    low-income energy-efficiencyprogrammes

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    INTERNATIONAL ENERGY AGENCY

    The International Energy Agency (IEA), an autonomous agency, was established in November 1974.Its primary mandate was and is two-fold: to promote energy security amongst its membercountries through collective response to physical disruptions in oil supply, and provide authoritative

    research and analysis on ways to ensure reliable, affordable and clean energy for its 28 membercountries and beyond. The IEA carries out a comprehensive programme of energy co-operation amongits member countries, each o which is obliged to hold oil stocks equivalent to 90 days o its net imports.The Agencys aims include the following objectives:

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

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

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

    n Support global collaboration on energy technology to secure uture energy supplies

    and mitigate their environmental impact, including through improved energyefciency and development and deployment o low-carbon technologies.

    n Find solutions to global energy challenges through engagement anddialogue 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 o)

    Luxembourg

    NetherlandsNew Zealand

    Norway

    Poland

    Portugal

    Slovak Republic

    Spain

    Sweden

    Switzerland

    Turkey

    United Kingdom

    United States

    The European Commission

    also participates in

    the work o the IEA.

    Please note that this publication

    is subject to specifc restrictions

    that limit its use and distribution.

    The terms and conditions are available

    online atwww.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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    TableofContents

    Acknowledgements..........................................................................................................................4

    Introduction......................................................................................................................................6

    Whatisfuelpoverty?................................................................................................................6

    Energyefficiencyasafuelpovertyreductionpolicy.................................................................7

    Evaluatinglowincomeenergyefficiencyprogrammes............................................................8

    WorkshopResults...........................................................................................................................10

    Session1:Settingthescene....................................................................................................10

    Session2:Indirecteconomiccobenefits................................................................................13

    Session3:Directfinancialcobenefits.....................................................................................14

    Session4:Participantcobenefits...........................................................................................16

    Session

    5:

    Co

    benefits

    evaluation

    case

    studies

    .......................................................................

    18

    Session6:Methodologicalapproachesandchallenges..........................................................21

    Session7:Thewayforward.....................................................................................................24

    ConclusionsandResearchPriorities..............................................................................................29

    References......................................................................................................................................31

    Acronyms........................................................................................................................................34

    Glossary...........................................................................................................................................35

    Listoffigures

    Figure1.Driversoffuelpovertyandrelatedpolicyresponses........................................................7

    Figure2.Nonenergycobenefitsoflowincomeenergyefficiencyprogrammes...........................8

    Figure3.DemographicsofwinterfuelpaymentrecipientsinUnitedKingdom(2008).................11

    Figure4.UnitedKingdomfuelpovertybySAPratingofthehome................................................11

    Figure5.DECCfuelpovertystatisticsat2010................................................................................12

    Figure6.Heatoreatphenomenon.................................................................................................20

    Figure7.Homeenergyinsecurityscale..........................................................................................23

    Figure8.Distributionofbuildingratings socialhousingunitsinIreland.....................................26

    Figure9.TheUKapproachin2010/11touchedoneachofthethreedriversoffuelpoverty......27

    List

    of

    tables

    Table1.Annualtargetedenergyconsumptionsubsidiesandenergyefficiencyspending.............7

    Table2.Lowincomeenergyefficiencycobenefitsandbeneficiaries.............................................9

    Table3.Directfinancialcobenefitsbybeneficiary........................................................................15

    Table4.Incidence(%)offuelpovertyintheUnitedKingdom.......................................................15

    Table5.Effectsofcoldhomes........................................................................................................17

    Table6.Percentageofpopulationspendingmorethan20%ofincomeonheating

    resultsfromtheWHOLARESsurvey.............................................................................19

    Table7.Cobenefitsestimationmethods.......................................................................................21

    Table8.Comparingincometodwellingtypetoestimatefuelpoverty.........................................22

    Table9.Cobenefitsevaluationresearchsuggestions...................................................................30

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    Acknowledgements

    The authors wish to acknowledge the contributions of all of the participants in the IEAs

    workshop on evaluating the cobenefits of lowincome weatherisation programmes, held in

    Dublin,Ireland

    on

    27

    28

    January

    2011.

    The

    presentations

    and

    policy

    discussions

    during

    this

    workshopprovidedmostof thecontentofthispaper.Specifically, thepresentationsofBrenda

    Boardman (Emeritus Fellow, Environmental Change Institute, University of Oxford, UK), Lisa

    Skumatz(SkumatzEconomicResearchAssociates,USA),DanielaPopescu(TechnicalUniversityof

    Iasi,Romania),SergioTiradoHererro(CenterforClimateChangeandSustainableEnergyPolicy,

    Central European University, Hungary), Kathleen Gaffney (KEMA, Inc., USA), Sarah Brady

    (Northern Ireland Authority for Utility Regulation), Jenny Livingstone (NIE Energy, Northern

    Ireland), Clare Ryan (CommunityBased Organisation Forum, Ireland), Philippa Howden

    Chapman,(NZCentreforSustainableCities,UniversityofOtago,NewZealand),DavidOrmandy,

    (WHO Collaborating Centre for Housing Standards and Health, University of Warwick, UK),

    VroniqueEzratty(MedicalStudiesDept.,EDF,France),DeborahFrank(BostonMedicalCenter,

    USA),Matthew

    Murray

    (Energy

    Savings

    Trust,

    UK),

    Roger

    Colton

    (Fisher,

    Sheehan

    &

    Colton,

    USA),

    Bruce Tonn (Oak Ridge National Laboratory, USA), Tadhg OBriain (Directorate General for

    Energy, European Commission, Brussels), Stjohn OConnor (Department of Communications,

    EnergyandNaturalResources, Ireland),and JamieTorrens (DepartmentofEnergyandClimate

    Change,UK).Theauthorswouldalso liketoacknowledgethecontributionsofIEAcolleaguesto

    this paper, notably Bo Diczfalusy (Director of Sustainable Energy Technology and Policy

    Directorate)and),RichardBradley(HeadoftheEnergyEfficiencyandEnvironmentDivision)and

    theIEAPublicationsUnitandEditorialteam.

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    Introduction

    TheInternationalEnergyAgencysEnergyEfficiencyUnit(EEU)isbeginninganewprogrammeof

    workon innovativeenergyefficiencypoliciesformitigatingfuelpoverty.Thefocusofthepolicy

    researcheffort

    is

    low

    income

    weatherisation

    direct

    investment

    programmes,

    which

    many

    IEA

    member countries pursue in order to reduce the energy bills of lowincome households. A

    common problem with such programmes is that the energysaving benefits alone provide a

    relativelymodestreturnfortheenergyefficiencyinvestmentrequired,suggestingaweakreturn

    on government spending. However, these investments also have cobenefits for property

    owners,energyproviders,programmeparticipants, local communitiesand society as awhole.

    Thesenonenergy cobenefits arenot currently considered in theprogramme evaluationsbut

    mayneed tobe included inorder toprovideamore completepictureof the impactsof low

    incomeweatherisationprogrammes.

    Whatisfuelpoverty?

    Households in fuel poverty1 have energy costs which are excessive compared to overall

    household income.Acommondefinitionhasemergedthatanyhouseholdspendingmorethan

    10% of its annual income on energy is in fuel poverty (Boardman, 1991). A slightly different

    definition twicethemedianfuelexpenditureasaproportionofincomeiscommonlyusedin

    theEuropeanUnion. Regardlessofthedefinition,the incidenceoffuelpoverty in IEAmember

    countriesisgrowing.Recentstudiesestimate150millionpeopleinfuelpovertyintheEuropean

    Union alone (Bird, Campbell and Lawton, 2010). Only half of these households receive fuel

    poverty assistance, e.g. fuel aid or subsidised tariffs (EPEE, 2009). Analysts agree that the

    combinedeffectsof theeconomic crisisand risingenergypriceshave furtherexacerbated the

    problem. InNorthern Ireland, forexample,the incidenceof fuelpovertyhasrisenfrom34% in

    2006to

    44%

    in

    2009

    (Brady,

    2011).

    Three factorscontribute to fuelpoverty: income,energyprices,andhousingquality (Figure1).

    Combinationsof low income,highenergypricesandpoorhousingqualitycanforcehouseholds

    to choosebetween adequateenergy services (e.g.heat and light) andotheressentials.While

    lowincome level andhighenergyprices are importantdrivers, the tendencyof lowerincome

    householdsto live inolderbuildingswithpoorheatingand insulationstandards iskeyfactor in

    fuelpoverty.

    Fuelpovertyhas alwaysexisted,butunderstanding its causesand theharm that can result is

    relatively recent.Fuelpoorhouseholdscannotadequatelyheatandventilate livingspacesand

    havedifficultypayingenergybills.Thebroader impactsof fuelpovertyare feltby lowincome

    householdsand

    communities

    and

    include

    inadequate

    thermal

    comfort,

    increased

    morbidity

    and

    mortality, andpooreducationaloutcomes, amongothers.A studyof40000excessdeaths in

    EnglandandWalesdemonstratedacrediblechainofcausationlinkingpoorhousingandpoverty

    tolowindoortemperaturesandcoldrelateddeaths(JohnsonandGriffiths,2003).

    Governmentsalreadyusearangeofpoliciestomitigatefuelpoverty(Figure1).Thesepoliciesinclude

    incomesupplementingfuelpaymentsforqualifyinghouseholds,socialtariffstoreduceeffective

    energyprices,andinvestmentsinimprovedqualityofhousingormoreefficientappliances.

    1TheIEAusesthetermfuelpovertyasdistinctfromenergypovertywhichisusedbysomeexpertsbutmorecommonly

    refers to the problem, faced in developing countries, of a lack of access to energy as a result of inadequate basic

    infrastructure.Fuelpovertyissuesalsoappearunderdifferentnamesindifferentcountries,suchasenergyprecariousness

    inFranceandaddressingthevulnerablecustomerinEurope.Refertotheglossaryattheendofthispaper.

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    Figure1.Driversoffuelpovertyandrelatedpolicyresponses

    Whileeffective,incomesupplementsandsocialtariffsareexpensive.Thesemeasuresareacost

    tothe

    state

    as

    well

    as

    the

    energy

    provider

    and

    may

    not

    be

    sustainable.

    For

    example,

    in

    2010

    the

    United Kingdom provided USD5billion (EUR4.2 billion) in winter fuel and cold weather

    payments(Table1).Ontheotherhand,energy efficiencyimprovementsmaynotbepracticalor

    economical as a substitute for income supplements,especially forhardtotreat residences. In

    thesecasesitmaybemorecosteffectivetoprovideongoingsubsidies.

    Table1.Annualtargetedenergyconsumptionsubsidiesandenergyefficiencyspending(millionEUR)

    CountryTargeted consumption

    subsidiesTargeted energy-efficiency

    investmentsEnergy efficiency as a share

    of total targeted spending

    Ireland 300 55 15%

    United Kingdom 4 200 2 120 34%

    United States 1 800 147* 8%

    *ExcludesstimulusAmericanReliefandRecoveryAct[US](ARRA)spending.

    Energyefficiencyasafuelpovertyreductionpolicy

    Experience shows that improving abuildings resistance to the elements (e.g.weatherisation)

    andotherenergyefficiencyimprovements(e.g.waterheaterandpipinginsulation;replacingold

    and inefficient appliances, lighting and equipment) are effective in reducing fuel poverty.

    Investmentsinenergyefficiencypermanentlylowerenergyuseinlowincomehouseholdswhile

    reducinggovernment

    and

    energy

    provider

    outlays

    on

    fuel

    assistance

    and

    social

    tariffs.

    A

    2007

    study calculated that almost one million vulnerable households could be taken out of fuel

    povertywitha combinationofefficiencyand renewableenergy investments (insulation,boiler

    improvement,solarwaterheating)atacostofUSD 8.2 billion (GBP 5 billion) (EnergyAction

    ScotlandandNationalEnergyAction[EnglandandWales],2009).

    ManyIEAmembercountrieshaverecognisedtheeconomicdevelopmentandpovertyreduction

    benefitsoflowincomeenergyefficiencypolicyandhaveimplementedweatherisationassistance

    programmes. In theUnited States, over sixmillion homes have beenweatherised over three

    decadesvia theUnitedStatesDepartmentofEnergysWeatherizationAssistanceProgram (US

    DOE,2011). In theUnitedKingdom, theWarmFrontandEnergyAssistanceprogrammeshave

    providedinsulationandheatingsystemstoovertwomillionvulnerablehouseholdssince2001.

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    OECD/IEA2011 Evaluatingthecobenefitsoflowincomeenergyefficiencyprogrammes

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    Directfinancialcobenefitsthataccruetogovernmentsandenergyproviders,andproperty

    owners and participants. These include reduced outlays for energy assistance and rate

    subsidies, aswell as other cost savings for utilities and ratepayers (e.g. avoided bad debt

    writeoff; reducedcarryingcostonbillingarrears; reduced spendingonnotices,collections,

    customercalls,andshutoffsandreconnectionsfornonpayment).

    Indirecteconomiccobenefits toparticipants, ratepayersand taxpayers,propertyowners,

    andsociety.These include increasedindividualorneighbourhoodpropertyvalues,economic

    activity (including jobs created through spending on lowincome energyefficiency

    programmes), improvedhome and fire safety, improved learning and earning capabilityof

    participants,andreducedmobilityoflowincomehouseholds.

    Socialwelfareandlivelihoodcobenefitstoparticipants,thelocalcommunityandsocietyas

    awhole.Theseincludeimprovedhealthandcomfortthroughreductionofnoise,drafts,mold

    andmildew; improvementincommunityappearance;environmentalbenefits;and improved

    educationaloutcomes.

    Table

    2.

    Low

    income

    energy

    efficiency

    co

    benefits

    and

    beneficiaries

    ParticipantsEnergy providers,governments, and

    rate/tax payersProperty owners Society

    Direct financialFewer reconnectionfeesWater savings

    Fewer shut-offsSubsidies avoided

    Arrearages savings

    Indirecteconomic

    Reduced mobility Tax revenue increasesHigher propertyvalueRents paid on time

    Fewer firesLocal jobsLocal spending

    Social welfareand livelihood

    Improved comfortImproved healthImproved safety

    Community prideImprovedappearance

    Environmental benefits,Improved heath andeducation outcomes

    Evaluatingenergyefficiency cobenefits ismoredifficult thanevaluatingdirectenergy savings.

    Estimatingcobenefits iscomplicatedbya lackofdata,difficulties inaccountingfor intervening

    variablesandmethodologicalissues.Degreeofdifficultydoesvary,however.

    Cobenefitswith adirect financial impact, such as reducedoutlays for fuel assistance, canbe

    estimated using the samemethods now used to estimate energy benefits. Indirect economic

    benefits can be estimated assuming data are available and an estimation model can be

    developed. Socialwelfare and livelihood impacts aremoredifficult to estimate and introduce

    intotheevaluationframework,althoughrecentcohortstudiesintheUnitedStates,NewZealand

    and elsewhere have positively linked improved health outcomes and other benefits to low

    incomeweatherisation.However,methodological complications remain, including establishing

    causalitybetween

    programmes

    and

    co

    benefits,

    monetising

    different

    types

    of

    benefits,

    accounting fordifferentbeneficiaries,and avoidingdoublecounting. Incorporatingnonenergy

    cobenefits requires a broader evaluation framework, new sources of data, new estimation

    methods,andnewwaystoexpressevaluationresults.

    Improved understanding of such causal links togetherwith new evaluationmethodsjustifies

    increased efforts to incorporate cobenefits into standard evaluation practice. Eventually,

    evaluationmethods incorporating broader consideration of cobenefitswill support improved

    policiesanddecisionmakingonallofthefuelpovertymitigationalternatives.

    BENEFIT

    TYPE

    BENEFICIARY

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    WorkshopResults

    The IEA, in cooperationwith Sustainable Energy Ireland, organised aworkshop that brought

    together international experts on lowincome weatherisation and fuel poverty for a focused

    discussionon

    evaluating

    co

    benefits.

    The

    workshop

    was

    structured

    to

    consider

    the

    three

    main

    categoriesofcobenefitscited in the literature (SeeTable2).Sessionsalso includedevaluation

    methods and cobenefits evaluation case studies. The workshop was intended to share

    information internationallyon lowincomeenergyefficiencyevaluationapproachesandresults,

    create a community of interest around this important topic, and identify opportunities for

    futurecollaboration.

    Session1:Settingthescene

    Fuelpovertyhas alwaysexisted,butunderstanding its causesand theharm that can result is

    relatively recent. Many IEA member governments have already implemented fuelpoverty

    reductionprogrammes,

    including

    low

    income

    energy

    efficiency,

    with

    varying

    results.

    While

    objectivegains intermsofenergysavingshavevariedwidely,participanthouseholdsuniformly

    report positive effects on their quality of life. The opening session of theworkshop included

    perspectives on lowincome energyefficiency programmes and how to evaluate them from

    ProfessorEmeritusBrendaBoardmanofOxfordUniversityandUSenergyefficiencyprogramme

    evaluationexpertDr.LisaSkumatz.

    ProfessorBrendaBoardmandescribedhowthequalityofhousingandincomelevelscombineto

    createconditionsoffuelpoverty.Fuelpovertywasoriginallythoughttobeaboutfuelpricesand

    income levelsonly, particularly asoneof the common symptoms is debt anddisconnections.

    Improvedunderstandingofthedynamicsoffuelpovertyhasledtoanincreasedappreciationof

    the

    mediating

    role

    of

    housing

    quality,

    e.g.

    energy

    efficiency,

    in

    causing

    or

    preventing

    fuel

    poverty.Inthissense,energyinefficiencycanbeseenasamaincauseoffuelpoverty,withthe

    goal of lowincome energyefficiency investments being to create a condition of affordable

    warmthforlowincomehouseholds.

    Definitionsof fuelpovertyvary,and it is important for thedefinition tobeclearlystated. In the

    UnitedKingdom,ahouseholdisconsideredtobeinfuelpovertyifitmustspendmorethan10%of

    incomeonenergyinordertomaintainasatisfactoryheating,lightingandotherenergyservices.

    Usingthe10%definitionleadstoanestimateof5to6millionhouseholdsintheUnitedKingdom

    livinginfuelpovertyalittlelessthan20%ofthepopulation.Thedefinitiontakesintoaccount

    thecommonsituationwherehouseholdsdonotconsumesufficientenergytomaintainawarm

    environment, thus risking health consequences in exchange for fuel savings.Householdswith

    unmetdemand

    for

    minimum

    levels

    of

    heat

    and

    warmth

    should

    be

    considered

    to

    be

    in

    fuel

    povertyregardlessoftheirenergyoutlaystodisposableincomeratio.

    Thisdefinitionmakesitdifficulttotargetthefuelpoor.Evenifincomeandenergybillingdataare

    known,ahouseholdmaybeunderconsumingforbudgetaryreasons.Targetingthefuelpoor is

    imperfectlydone, throughproxies suchasageorentitlementseligibility.TheUKsWinterFuel

    PaymentsProgrammeisavailabletoallpensionerhouseholdsregardlessoftheircircumstances,

    whichamountstoover70%ofEnglishhouseholds.Asaresult,aboutthreequartersofthesefuel

    assistancepaymentsflowtononfuelpoorhouseholds(Figure3).Onepolicysolutionwouldbe

    better targeting of the fuel poor, through improved fuel poverty definitions, better

    understandingofsocialanddemographiccontributorstofuelpovertyandimprovedoutreach.

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    Figure3.DemographicsofwinterfuelpaymentrecipientsinUnitedKingdom(2008)

    Over 60 with children others

    Fuel poor households Pensioner

    households

    24% infuel

    poverty

    49%

    Source:Boardman,2011a.

    The

    link

    between

    housing

    quality

    and

    fuel

    poverty

    is

    evident

    from

    United

    Kingdom

    data

    on

    the

    housingstock(Figure4).Overhalfofthehouseholdsinfuelpovertyliveinhousingwithabuilding

    energyefficiencyStandardAssessmentProcedure(SAP)2scorelessthan20,whichequalsaGrating

    the lowest ranking in the UK buildings certification system.Warmth in these households is

    expensive andmany households are not able to heat these homes to healthy levels. In this

    context,investmentsinenergyefficiencyareanimportantfuelpovertymitigationtool.

    Figure4.UnitedKingdomfuelpovertybySAPratingofthehome

    Source:DEFRA/BERR,

    2008.

    The UK government is legally obliged, under the terms of the Warm Homes and Energy

    Conservation Act 2000, to eradicate fuel poverty by 2016 as far as reasonably practicable

    (Figure 5). Meeting this 2016 goal will require delivering energyefficiency investments to

    850000householdsperyearoverthenextfouryears,movingthemfromSAPscoresintheless

    than40rangetoscoresof60andabove.

    2SAP is theStandardAssessmentProceduredevelopedby theBuildingResearchEstablishment (BRE) forgaugingbuilding

    qualityandusedbycertifiedbuildingsassessors.Seewww.epcforepcs.co.uk/SAP_Ratings/.

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    Figure5.DECCfuelpovertystatisticsat2010

    Source:DECC,2010.

    Thedemographicsandclimateinanyonecountryhaveastronginfluenceonfuelpovertypolicy

    discussion.IntheUnitedKingdom,forexample,almosttwothirdsoffuelpoorhouseholdsown

    thehomes

    they

    occupy,

    often

    with

    paid

    off

    mortgages.

    These

    households

    tend

    to

    be

    elderly,

    and

    willoftenunderconsumefuelinordertoavoidenteringintodebt.Thissegmentwouldbeagood

    choice foranenergyefficiencypolicy intervention.Thebalanceof fuelpoorhouseholds live in

    socialhousing,whichisofafairlyhighstandardintheUnitedKingdom,orinrentalproperty.

    Lisa Skumatz provided an overview of the lowincomeweatherisation cobenefits evaluation

    landscape. Numerous studies in the United States and elsewhere have considered how to

    evaluatethecobenefits(sometimescallednonenergybenefits,orNEBs)of lowincomeenergy

    efficiency.Manyof these studieswereexploratory,using indirectestimationmethods suchas

    revealed preferences. The objective of these exploratory evaluations was to bound the

    magnitudeofthecobenefitsasafirstestimate.Suchevaluations,whilenotproducingaconcrete

    value,provideanorderofmagnitudeestimatethatmightinformpolicymakersdecisions.Such

    effortsstemmed

    from

    aconsideration

    that

    even

    rough

    estimates

    of

    co

    benefits

    are

    better

    than

    assumingavalueofzero.

    Ametaanalysissuggeststhatnonenergycobenefitsare indeedsignificant,addingasmuchas

    threetimesthebenefitsofdirectenergysavingstoparticipants.However,theuncertaintybound

    around these estimates is very high indeed from USD300 to USD5 000 annually per

    participant.Theseexploratorystudiessuggestthatmostcobenefitsaccruetoparticipants,with

    anotheronethirdbenefitingsocietyasawhole.Onlymodestbenefitscouldbefoundforutilities,

    andnoattemptshavebeenmadetoestimatereducedgovernmentoutlaysonfuelassistanceas

    a result of lowincome efficiency investments. Themetaanalysis identified health and safety

    benefitsestimationaslaggingbehind,butdevelopingrapidly(Skumatz,2011a).

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    Session2:Indirecteconomiccobenefits

    Mostofthecobenefitsfromlowincomeweatherisationflowtotheparticipants.However,low

    income energyefficiency programmes also have indirect economic benefits for other private

    individuals as well as society, starting with the local communities where programmes are

    implemented.Session2provided anopportunity to consider someof thesebenefitsandhow

    they can be evaluated. Indirect economic cobenefits include increased property values as

    buildings are improved and rehabilitated, increased tax revenue for governments, local job

    creation, and other economic activity from programme spending in local communities. Less

    tangible but still important social benefits can include community pride and social cohesion.

    Thesebenefitsarehardtomeasurebecausetheyaccruetonumerousanddiffusebeneficiaries.

    Thissessionincludedexpertspeakersfromtheprivatesectorandacademiadiscussingtheirresearch

    intopropertyvaluationandjobcreationbenefitsfromlowincomeenergyefficiencyprogrammes.

    DanielaPopescuoftheIMMOVALUEprojectteamdescribedresearchontherelationshipbetween

    market values and greenhousing.Even though researchon this topic isjustemerging, there is

    increasedevidence

    of

    acorrelation

    between

    market

    value

    of

    abuilding

    and

    its

    energy

    efficiency.

    Forexample,asurveyby theUSGreenBuildingsCouncil foundnotonlyanaverage8% to9%

    reduction inoperatingexpenses in greenbuildings,but also a7.5% increase inmarket values

    (USGBC,2008).TheIMMOVALUEprojectteamareworkingfromtheassumptionthatgreenvalue

    willbeanintegralpartoffuturemarketvaluationofhousingandcommercialbuildings.

    The willingness to pay for green features depends on market state, transparency, location,

    sector, exposure to environmental risk in the region, consumer awareness, andmany other

    variables. For this reason it is not possible to formulate a general rule for valuing market

    premiums for green buildings. Rather, the valuation processwill evolve through training and

    adaptation of existing valuation methods in order to better incorporate energyefficiency

    characteristics.

    A

    critical

    element

    of

    this

    evolution

    will

    be

    acquisition

    of

    reliable

    data

    on

    the

    market performanceof green buildings.AGuidanceNote for integrating energy performance

    into European Valuation Standards highlights some of the most relevant aspects of

    environmental sustainabilityand its connection topropertyvaluation.Developmentofmarket

    valuationpremiumsforgreenbuildingswillbefurtheredbypoliciesthathelplinkthebenefitsof

    green features to increasedmarket value. Thesepolicies include strengthened regulations for

    new and existing buildings and information and awareness building policies such as building

    certification. Such supporting policies help create more consistent systems for all parties

    owners,tenants,valuerstoequatedegreesofenergyefficiencywithcorrespondingdegreesof

    valuationincrease.

    SergioTiradoHerreroof theCenter forClimateChangeandSustainableEnergyPolicy (3CSEP)

    describedmanifestations

    of

    fuel

    poverty

    and

    the

    co

    benefits

    of

    low

    income

    energy

    efficiency

    programmes in the Hungarian context. Whereas the average Hungarian household spends

    around10%of itsnet incomeonenergy,only12.4% report themselves as fuelpoormore

    evidenceofthedifficultyineffectivelytargetingfuelpoorhouseholds.Manyresidentialbuildings

    inHungarydatebacktotheSovietera,withprefabricatedconcreteconstructionandobsolete

    district heating networks. Many of these households pay a fixed flat rate, with no energy

    metering and no thermostats. Some of the coping strategies utilised includemaintaining low

    indoortemperatures,reducingthefractionofthefloorareaheated,switchingfuels(naturalgas

    tofirewood,sometimesobtainedillegally)andelectricitytheft.

    3CSEP recently studied the employment benefits of a largescale, deepbuilding renovation

    programme to improveenergyefficiency inHungary.Theproject scale is immense; in the less

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    pushedscenario,USD1.4billiontoUSD2.8 billionperyear(EUR1billiontoEUR2billionperyear)

    through2050,with 100000apartments renovatedperyear.Suchaprogrammewould create

    over100000additionaljobsperyearandresultina40%reductioninthecurrentHungariangas

    consumption.Thestudyconcludedthatenergysavingswouldpaybackinvestmentcosts(though

    inarelativelylongtimeframe),andthatfuelpovertywouldbepracticallyeliminatedthroughthe

    programme.In

    addition,

    the

    study

    assessed

    the

    direct,

    indirect

    and

    induced

    employment

    benefits

    in an input/outputmodelling framework.Calculationofemploymentbenefitsnecessarily took

    intoaccountpotentialjob losses likelytooccur intheenergyprovision,distribution,andsupply

    chainsectorsasaresultofreducedenergyusage,andconsideredthedurabilityofemployment

    linked to oneoff renovations. It also noted that the labour intensity of lowincome energy

    efficiencyimprovementsisconsiderablyhigherthanforotherenergyefficiencyinvestmentsand

    thatdeeperrenovationsachievingareductionof80to90%oftheenergyuseforspaceheating

    should be prioritised in order to avoid lockingin a large fraction of the energy saving and

    emissions reduction potential of the building stock. They should also give more scope for

    workforcetraininginadditiontobetterresultsforfuelpovertyalleviation.

    Session3:Directfinancialcobenefits

    Lowincome energyefficiency investments in fuelpoor households can yield direct financial

    benefits for energyproviders,3 ratepayers and governments (Table 2).Many energyproviders

    have initiatedtheirownprogrammestoassist lowincomecustomers,whileotherutilitieshave

    establishedprogrammesinresponsetogovernmentfuelpovertyandenergyefficiencypolicies.

    Involvementbyenergyprovidersinfuelpovertyprogrammesisimportantandbeneficial,asthey

    have the most direct line of contact with fuelpoor families and can help identify needy

    householdsandmonitorprogramme results.Utilitiesbenefitdirectly from lowincomeenergy

    efficiency efforts. In addition to reducing the lossmaking sales of energy delivered on social

    tariffs,utilities

    can

    reduce

    the

    carrying

    cost

    of

    billing

    arrears,

    expenses

    associated

    with

    collection

    activities and disconnections, and bad debt writeoffs. Governments can also benefit to the

    extent that energyefficiency improvements reduce outlays for fuel assistance and other

    subsidiestoparticipatinglowincomehouseholds.

    This session provided an opportunity to hear the perspectives of evaluators, regulators and

    energy providers regarding how to include these cobenefits in evaluating lowincome

    weatherisationprogrammes.

    Kathleen Gaffney of theUS consultancy KEMA gave an overview of the US experiencewith

    weatherisationcobenefits.Whileenergyprovidersareinterestedintheimpactofenergysavings

    ontheirbottomline,theyhavebeenslowtoinvestigatepotentialcobenefitsforthemselvesand

    others.US

    energy

    providers

    are

    mostly

    concerned

    about

    reducing

    collection

    costs

    and

    bad

    debt

    writeoffs,andminimisinglossmakingsalesonsubsidisedtariffs(Table3).However,inaddition

    todirectenergysavings,programmeparticipantsbenefitfromareducedneedtomovehouse(or

    forcedmobility),lowerhealthcarecostsandsavingsonotherhouseholdbills.Governmentsalso

    may financially benefit from improved tax base as well as reductions in the costs of safety

    inspectionsforlowincomehousing.

    The key problem faced in evaluating these direct financial cobenefits is a lack of good,

    comparable data that can be treated as broadly representative of the different beneficiaries.

    3The term utilitiesandenergyproviderswillbeused interchangeably in this instance.Energyproviders is themore

    generictermasitreferstoregulatedenergyutilitiesaswellasunregulatedenergyretailers.

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    These evaluation challenges data availability, measurement methods, persistence, and

    avoidanceofdoublecountinghavemade itdifficultor costprohibitive to addressallof the

    possiblecobenefits.Theresulthasbeenthatmostcobenefitsareestimatedwithlittleempirical

    certainty,andwhatestimateshavebeendevelopedcannoteasilybegeneralised.Asaresult,this

    categoryofcobenefitscontinuestobelargelyunrepresentedinprogrammeevaluations.

    Table3.Directfinancialcobenefitsbybeneficiary

    Energy provider Participant Governments

    Arrearages Reduced mobility Improved tax base

    Bad-debt write-off Lower health care costs Inspection cost savings

    Terminations Other utility savings (water)

    Reconnections Improved safety

    Fewer loss-making sales ondiscounted rates

    Collection activities

    Safety emergencies

    Electrical system reliability

    Source:Gaffney,2011.

    Kathleen Gaffney provided several examples of exploratory cobenefit evaluations carried out in

    Wisconsin(UnitedStates)andQuebec(Canada).TheWisconsinstudyused input/outputanalysisto

    identifyaneconomicboosttothelocalcommunitycreatedwhenenergyefficiencymeasuresreduced

    bills and left householdswithmore disposable income. TheQuebec study facedmethodological

    challengesinconcretisingcobenefitssuchashealthandcomfort;effortstodosowereabandoned

    whenthe

    direct

    energy

    savings

    benefits

    alone

    proved

    sufficient

    to

    justify

    the

    programme.

    Sarah Brady described how energy providers participate in delivering all three of the main

    policiesforfuelpoorhouseholds inNorthern Ireland.Fuelpoverty isacute inNorthern Ireland,

    where its incidencehasrisenfrom34%to44%since2006;theshareoffuelpoorhouseholdsis

    by far the largest in the United Kingdom (Table 4). This reflects several factors unique to

    Northern Ireland, including a colder and wetter climate, housing quality and prevalence of

    relativelyexpensiveoilheating systems.Energyprovidershelp reducebillsbydiscountedpre

    payment meter services and through the Northern Ireland Sustainable Energy Programme

    (NISEP),80%ofwhichisringfencedtobenefitvulnerablehouseholds.

    Table4.Incidence

    (%)

    of

    fuel

    poverty

    in

    the

    United

    Kingdom

    England (2009) Scotland (2006) Wales (2006) Northern Ireland (2009)

    15.6 26.5 20.0 44.0

    Source:Brady,2011.

    TheregulatorinNorthernIreland,theNorthernIrelandAuthorityforUtilityRegulation(NIAUR),

    ismandated tooverseeutilitybehaviour and energyefficiency implementation aswell as the

    protectionofvulnerableenergycustomers.NIAURpatrolspricestructurestoensurethatenergy

    providersreturnsarenotrelatedtoincreasedvolumes,anduseslicenceandotherconditionsas

    well as the NISEP scheme to ensure energy providers have an incentive to provide energy

    efficiencyadviceandcarryoutenergyefficiencyprojects.

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    Jenny Livingstone provided additional narrative on how energy providersdeliver fuelpoverty

    interventions inNorthern Ireland.Northern IrelandElectricityEnergy (NIE)delivers lowincome

    energyefficiency schemes including heating system upgrades and weatherisation measures,

    whicharefundedthroughtheNISEPscheme.NIEEnergyalsohasauniqueoutreachprogram,the

    ForYourBenefitcampaign, inwhichNIEEnergyengagesvulnerablecustomergroupsbydirect

    mailand

    helps

    them

    review

    their

    eligibility

    for

    arange

    of

    low

    income

    entitlement

    programmes.

    In consultationwithother socialwelfare servicesdeliverypartners,NIEEnergyhas completed

    over10000benefitentitlementchecks(BEC).TwoofeveryfiveBECsresulted inthevulnerable

    householdclaimingadditionalbenefitstheywereunawareof.NIEEnergyalsooperatesahighly

    successfulprepaymentmeterprogram.AlmostonethirdofNIEEnergyscustomerschoosethis

    option,whichprovidesa2.5%discountreflecting lowercoststoserveprepaymentcustomers.

    CustomersbuyelectricitythroughPaypoint,Payzone,PostOffice,telephoneorontheweb.This

    customerfriendlyserviceoptionhelpswithdebtmanagementandbudgeting,whileafriendly

    credit option minimises self disconnection. Providing customers with current and historical

    consumption information through a display has encouraged customers to use about 4% less

    electricity

    than

    comparable

    customers

    on

    the

    standard

    service

    (Livingstone,

    2011).

    NIEEnergysexperiencewithdeliveringenergyefficiencyprogrammestolowincomehouseholds

    has convinced them of the benefits they accrue. These include improved corporate image,

    customer loyalty, reduced bill arrearages and call centre costs, and closer relations with

    regulatorsandgovernment.

    Session4:Participantcobenefits

    Lowincomeenergyefficiencyprogrammeevaluationiscurrentlylimitedtotheenergybillsavings

    for programme participants.While these energy savings are sufficient tojustify government

    spending,other cobenefits forparticipatinghouseholdsmaybe largerandmore important in

    thelongrun.Thesebenefitsincludelowerfrequencyofmovinghouse,improvedschoolandwork

    attendance,andimprovementsinhouseholdcomfortandsafety.Whilerecognisedasimportant,

    estimating these benefits is challenging. This session examined participant cobenefits from

    healthandwellness,qualityoflifeandcommunitywellbeingperspectives.

    BrendaBoardman leadadiscussiononthemedical,socialandpsychologicalproblemsthatfuel

    poverty poses for household occupants and the extent towhich these can be addressed by

    energyefficiency improvements. Some analysts suggest that excess winter deaths are an

    importantaggregate indicatoroffuelpoverty.Thesehaveaveraged 25000annuallyinEngland

    aloneoverthepasttenyears,whichonapercapitabasisishigherthanincolderregionssuchas

    CanadaandScandinavia.

    Medicalreports

    of

    physical

    health

    effects

    from

    fuel

    poverty

    are

    beginning

    to

    emerge,

    especially

    for veryyoung children and inpeople above40 years.Aparticularproblemwithpoorquality

    housing is condensationandmould.Mould results fromcondensationoncold surfaces,and is

    unpleasant,smelly,destructiveanddifficulttoeradicate.Mostsignificantly,ithasbeenshownto

    cause asthma in children,which once contracted cannot be cured.Weatherisationmeasures

    havebeenshowntobeaneffectivewaytopreventmould,suggestingthatpreventionofasthma

    throughlowincomeweatherisationmayproducelongtermhealthcostsavings.Althoughdatais

    sparse, in 1994 condensationrelated health costs to theNational Health Service (NHS)were

    estimatedatUSD1.6 billion (GBP 1billion)(Boardman,2011b).Growingmedicalevidenceon

    thelinkbetweencoldandpoorhealthsuggeststhatmoreclinicalresearchisneeded.

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    In addition to physical illnesses being ignited or exacerbated by cold and damp in fuelpoor

    households,ProfessorBoardmanpointedtostudiesshowingsignificanteffectsonmentalhealth

    (Table 5). Another study found that the incidence of anxiety or depressionwas halved after

    energyefficiencymeasures(GreenandGilbertson,2008).

    Table5.

    Effects

    of

    cold

    homes

    Impact Percent of Respondents

    Made me/us feel miserable 55%

    Made an existing health problem or problems worse 39%

    Made me/us feel anxious or depressed 34%

    Did not feel able to invite friends or family to the house 18%

    Spent as much time as possible away from the house 18%

    Brought on a new health problem or problems 18%

    None of these 15%

    Source:Anderson,FinneyandWhite,2010.

    Denialisamajorobstacletoproperlyidentifyingthefuelpoor.Peopleoftensaytheyarewarm

    enough,evenwhentheyarecold;thissuggestsafearofsocialstigmamaybepreventingthem

    admitting their situation. Methods that rely on selfidentification through telephone ormail

    surveysareunlikelytoobtainaccurateanswers.Detailed,facetofaceassessmentscarriedoutin

    thehomeareamuchmorereliablewaytodetermineaconditionoffuelpoverty.

    ClareRyanpresentedtheWarmProject,which isoneofseveralcommunitybased, lowincome

    energyefficiency activities funded by Sustainable Energy Authority Irelands Warmer Homes

    programme.TheWarmProjectisdeliveredincollaborationwithcommunitybasedorganisations,

    enhancing human and social capital at the community level as part of lowincome energy

    efficiency programme delivery. These communitybased organisations have a unique

    understandingoftheeconomicandsocial infrastructureofcommunities,whichallowsthemto

    effectively identify and engage with fuelpoor households. Local knowledge also allows

    communitybased programme delivery to adapt to the broader socioeconomic needs of a

    particular community and to achievemaximum participationof fuelpoorhouseholdswithno

    stigma attached. Communitybased programme delivery can also maximise community

    cobenefitsof lowincomeenergyefficiency investments intheformof improvedhousingstock

    andpropertyvalues,creating local skilledjobs,providing training (especially for the longterm

    unemployed),andreducingpressureonlocalhealthservicesviaimprovedhealthofparticipants

    (Ryan,2011).

    Communitybasedapproachesmightofferimportantopportunitiestoevaluatethecommunityand

    societal cobenefits of targeted lowincome energyefficiency programmes. Such concentrated

    programmescouldbeaccompaniedwithdatacollectionandcobenefitevaluation frameworks

    thatmightidentifyatthecommunitylevelsomeofthecobenefitsfoundinTables2and3.

    ProfessorPhilippaHowdenChapmandescribedtheworkcarriedoutbytheUniversityofOtago

    HousingandHealthResearchProgramme.TheHeKaingaOranga (HealthyHousing)programme

    considersthesocialgradientinhealthandusessolutionfocusedresearchtoreduceexcesswinter

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    mortality(EWM)andrespiratoryandcirculatoryproblems,whichhavebeenlinkedtoinefficient,

    poorqualityhousing.ResearchinNewZealandhasshownthatpoorlyinsulatedprewarhousingis

    responsible for a recurring average of1600 excesswinter deaths annually (compared to 400

    traffic fatalities).Acensusmortality linkagestudy foundhigherEWMamongolderhomes, low

    incomepeople,those living inrentedaccommodationand inurbanareas.Thissuggestsasocial

    gradientwithin

    the

    EWM

    health

    issue.

    Other

    studies

    examining

    excess

    winter

    hospitalisation

    foundsimilarlinkswithhousingvintageandincomelevel.Basedonthecurrent10%ofhousehold

    incomedefinition,25%ofNewZealandhouseholdsareestimatedtobeinfuelpoverty.

    Ofparticular interesttocobenefitsevaluationareseveralNewZealandstudiesthattestedthe

    linkagebetweenweatherisation,healthandcarbonmitigation.The2008Housing,Insulationand

    HealthStudy targeted1400householdswithat leastonepersonalreadyexperiencing chronic

    respiratory illness symptomsbycarryingoutweatherisationbeforeandafter temperatureand

    humiditymeasurement.Resultsshowedmarkedreductionsinindoorcoldanddampnessaswell

    asenergysavingsof23%.Additionalbenefitsmeasured included improvedcomfort,fewerdays

    offschoolandwork, reductions incoldandwheezesymptoms,and fewerhospitaladmissions.

    The

    2009

    community

    trial,

    the

    Housing,

    Heating

    and

    Health

    Study,

    enrolled

    400

    households

    wheretherewasachildwithdoctordiagnosedasthmaandfoundthat installing insulationand

    sustainableheatingimprovedtheindoorenvironment,reducedthechildrensasthmasymptoms

    andthenumberofschoolabsences.

    TheHousingandHealthResearchProgramme is continuing its research intoevaluatinghealth

    outcomesofimprovedhousing.OnethirdofhousesinNewZealandhavemouldproblems,anda

    study isbeingundertakento investigatetherelationshipbetweencoldhouseswithmouldand

    the development of asthma in babies. Another community trial is looking at the benefits of

    winterfuelpaymentsto520olderpeople,whohavebeenpreviouslyhospitalisedforrespiratory

    conditions.Suchutilisationofsolutionorientedexperimentalframeworksispromisingfromaco

    benefitsevaluationperspective.

    ProfessorHowdenChapmanemphasisedtheroleofresearchersinfacilitatingthetranslationof

    quantitative data from community trials,which demonstrated significant causal relationships

    between weatherisation and cobenefits into governmental policy. Framing programme and

    policy trials as housing and health research rather thanjust energy efficiency or poverty

    alleviationprovedeffective inavoidingpotentialsocialandpoliticalstigma.Solutionfocused

    studiesprovedmoreeffectiveincommunicatingtheavailablebenefitstopolicymakersaswellas

    to the participants themselves. The team termed their approach Heat as Medicine, and

    expressed the benefits of improved housing quality as concrete number of avoided hospital

    admissions. This slant on weatherisation investments spoke loudly to politicians. Combining

    energy savingswith health, educational and social impacts aswell as a calculation of carbon

    emissions savings in the Insulation study was able to show a 2:1 cost benefit ratio from

    weatherisation.A cost/benefit analysis of the national rollout of theNew Zealand Insulation

    Fundonenergyefficiency,hospitalisations,pharmaceuticalusageandjob creation iscurrently

    beingfinalised(HowdenChapman,2011).

    Session5:Cobenefitsevaluationcasestudies

    Thefuelpovertyandenergyefficiencydiscussionhasbecomecloselylinkedtohealthandsafety

    issues, and considerableprogresshasbeenmade in identifying the avoidedmedicalexpenses

    associated with lowincome weatherisation. New frameworks are needed to address the

    correlationbetweenhousingstandardsandhealthsothatthesecobenefitscanbeincorporated

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    intothepolicymakingprocess.ThissessionwasdedicatedtocasestudiesfromtheUnitedStates

    and theEuropeanUnion inwhich thehealthbenefitsof lowincomeweatherisationhasbeen

    quantifiedandevaluated.

    Dr.VeroniqueEzrattyandProf.DavidOrmandypresented researchundertakenaspartofthe

    WorldHeath

    Organizations

    (WHO)

    Large

    Analysis

    and

    Review

    of

    European

    Housing

    and

    Health

    Status (WHO LARES) study. In 200203 theWHO Housing and Health Programme undertook

    housingandhealthsurveys ineightEuropeancities:Forli (Italy),Vilnius (Lithuania),Ferreirado

    Alentejo(Portugal),Bonn(Germany),Geneva(Switzerland),Angers(France),Bratislava(Slovakia)

    and Budapest (Hungary). Merging the individual city data created a powerful international

    databaseuseful in studyinghousingrelated inequalitiesand theirpotential impactsonhealth.

    The study found the incidence of respondents spendingmore than 20% of their income on

    heating is significantly higher in the three Eastern European cities of Vilnius, Budapest and

    BratislavaasshowninTable6.

    Table6.Percentageofpopulationspendingmorethan20%ofincomeonheating resultsfromtheWHO

    LARESsurvey

    Vilnius Budapest Bratislava Genve Bonn Angers Forli Ferreira

    46% 26% 21% 1% 1% 4% 2% 1%

    Source:EzrattyandOrmandy,2011.

    Dr. Ezratty described the direct and indirect impacts of prcarit energtique (energy

    precariousness).Forexample,underconsumptionofnecessaryenergyservicesresulting in low

    indoortemperaturescouldleadtorespiratoryandcardiovasculardiseasesandmentalstress;use

    ofinappropriateformsofenergyforheatingandlightingincreasestheriskofaccidents,fireand

    CO poisoning; poor indoor air quality and dampness increase susceptibility to asthma and

    allergies.Such

    health

    impacts

    create

    not

    only

    individual

    suffering

    but

    social

    costs,

    including

    lost

    workandschooldaysaswellasincreaseddemandonthehealthsector.

    Prof.Ormandypresentedresultsofresearch inEngland,where ithasbeenpossibleto identify

    the cost of diagnosing and treating health outcomes arising from socalled Cold (or energy

    inefficient)Homes.ThestudydrewondataonthebroadconditionofEnglishhousingfromthe

    EnglishHouseCondition Survey (EHCS).TheEHCS incorporates theHousingHealth and Safety

    RatingSystem(HHSRS)whichwasdevelopedbymatchingdataonhousingconditionswithhealth

    outcomesrecordsonthebasisofpatientspostcodes.Thisenabledtheexpansionofassessment

    ofhousestoincorporatepotentialthreatstohealthand/orsafetyinadditiontobuildingdefects.

    Linkingdataonhousingconditionswithhealthdatahasmadeitpossibletoestimatethehealth

    relatedcostsattributabletoenergyinefficienthousing.TheUKNationalHealthServicegivesdata

    onthe

    cost

    of

    diagnosing

    and

    treating

    health

    outcomes

    associated

    with

    exposure

    to

    low

    temperaturesand throughaprocessofdata correlation,gaveanestimatedcostofUSD1263

    million (EUR894million)annually,oraboutUSD548 (EUR 388)perdwellingperyear(Ezratty

    andOrmandy,2011).

    ThevalueoftheHHSRS inEnglandhascreated interestinreplicating itelsewhere.NewZealand,

    theUnitedStates,andtheEuropeanUnionareallundertakingsimilarefforts.Otherinitiativesare

    underwaytomorestronglylinkdataonhealthoutcomeswithdataonhousingquality.InFrance,

    forexample,patients suffering fromasthmawill receivea referral forahousing surveyby the

    ConseillerMdicalenEnvironnementIntrieur.Suchinterventionswillalsoprovidedataneededto

    investigateboththecausesandeffectsofenergyefficiencymeasuresonindoorairquality.

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    Dr. Deborah A. Frank presented research and viewpoints from the Childrens HealthWatch

    programme in the United States. Childrens HealthWatch is a nonpartisan pediatric research

    networkcarryingoutresearchonimpactsofeconomicconditionsandpublicpoliciesonthehealth

    ofchildrenunder theageof three.ChildrensHealthWatchhasbuiltauniquedatabaseon the

    linkagesbetweenhouseholdconditionsandhealthoutcomesbasedon interviewswith families

    withyoung

    children

    in

    emergency

    departments

    and

    urgent

    care

    clinics

    in

    hospitals

    in

    five

    cities

    (Baltimore,Boston,LittleRock,MinneapolisandPhiladelphia)servinglargelylowincomefamilies.

    OnepolicyinitiativeoftheChildrensHealthWatchhasbeentoconstructindicatorsofhousehold

    insecurity across three dimensions: food, housing and energy. Each of these insecurities is

    closely linked to negative health outcomes in young children. Indicators of severe energy

    insecurity include interruptions ingas,oilorelectricitydeliverybecauseofnonpayment,days

    withoutheatingorcoolingbecauseofnonpaymentoruseofunsafesubstituteheatingmethods.

    Energyinsecurityoftencooccurswithfoodinsecurity;whereacceptablenutritionisnotavailable

    orwherea choicehas tobemade tobetweenadequateenergy services andotheressentials

    suchasfood.Thisphenomenon,termedHeatorEatsyndromebytheBostonresearchteam,is

    supported

    by

    long

    term

    data

    showing

    a

    correlation

    between

    cold

    temperatures

    and

    underweight

    children (Figure 6). Energy insecurity isparticularly correlatedwithunderweight children,due

    both to childrens physiology and the simple physics of a high surfacetomass ratio, which

    increasesheatlossincoldenvironments.

    Figure6.Heatoreatphenomenon

    Seasonaltemperaturevariationandlowweightforage

    (N=11,118)

    -10

    -5

    0

    5

    10

    15

    20

    25

    J

    uly(169)

    Aug(242)

    S

    ept(243)

    Oct(275)

    Nov(291)

    Dec(367)

    Jan(438)

    Feb(336)

    M

    ar(330)

    Apr(275)

    M

    ay(304)

    Jun(292)

    AverageTemperature(C)

    Percent Wt/Age

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    There is also an emerging body of research regarding the health benefits of fuelpoverty

    mitigation policies. For example, children in families benefiting from the LowIncome Home

    EnergyAssistanceProgram(LIHEAP)intheUnitedStatesare20%lesslikelytobeunderweightfor

    ageorlengthand30%lesslikelytorequireadmissiononthedayofvisitingahospitalemergency

    room,thanchildreninsimilarfamilieswithLIHEAPassistance.

    Session6:Methodologicalapproachesandchallenges

    Bringing hardtomeasure benefits of energy efficiency within the scope of programme

    evaluation requires new data sources and new estimationmethods. Thesemethodsmust be

    developed in away that alignswith theobjective indicators (e.g. energy bill savings) used in

    existingcosteffectivenessprotocols.

    LisaSkumatzdescribedtheestimationmethodsthathavebeenappliedtocobenefitsevaluation

    (Table 7).Methods vary according to the type of benefit, understanding of the cause/effect

    linkage, and the data available.Computations or engineering estimates can be developed for

    directfinancial

    co

    benefits

    where

    the

    weatherisation

    intervention

    and

    the

    co

    benefit

    are

    clearly

    anddirectlylinked,(e.g.watersavingsfromlowflowshowerheads).Incrementalimpactsanalysis

    using regressionorothermethods canalsobeused toestimate,onanaggregate level,direct

    financial benefits (such as utility arrearage savings).However, establishing strong correlations

    maybedifficultunlessanextensivedatabase isavailable.Modelbasedestimation isabroad

    categorythatincludesmanypossibleapproaches,fromsimpleregressionanalysistocomplicated

    logitmodels,althoughextensivedataisneededtobuildthesemodels.Surveymethodsaremore

    appropriatefornonfinancialorintangiblecobenefits,suchascomfort,livelihoodimprovements

    or socialwelfare improvements.Obtainingparticipant valuationof cobenefitson thebasisof

    relativescalingofoutcomeshasprovedeffectiveinobtainingconsistentresults.

    Table7.

    Co

    benefits

    estimation

    methods

    Estimation method Example Limitations and issues

    Computation/engineeringestimation

    Participant co-benefit: water savingsRequires data on shower use andwater rates

    Incremental impacts analysisUtility co-benefit: reduced arrearagecosts

    Requires detailed data on both costincidence and weatherisationpatterns

    Model-based estimationSocial co-benefit: Reductions inhealth costs due to fewer cold-relatedhospitalisations

    Requires cold-related health carecosts plus an experimental frame tolink cause and effect

    Revealed preference, contingentvaluation, and other surveymethods

    Participant co-benefits: indoorcomfort improvements

    Subject to bias; difficult to comparewith monetised benefits

    Source:Skumatz,2011b.

    Cobenefits evaluation is fraught with methodological issues. Evaluators must take care to

    addressfivechallenges:

    Persistence or retention of cobenefits. Unlike energy savings, other cobenefits may be

    shortlived.Boththemagnitudeandthedurationofthecobenefitneedtobeestimated.

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    Doublecountingandoffsettingcobenefits.Caremustbetakentoavoidcountingthesame

    cobenefittwicee.g.jobcreationandlocaleconomicactivityandtoidentifycobenefits

    toonebeneficiarythatmayappearasacosttoanotherbeneficiary.

    Harmonising valorised results from different approaches. There is no accepted basis for

    combining

    results

    from

    surveys

    of

    willingness

    to

    pay

    with

    regression

    results

    based

    on

    energy

    or health care provider cost incidence. Clear rules should be established for evaluating

    financialandeconomiccobenefitsvs.socialwelfareandlivelihoodcobenefits.

    Negativecobenefits.Someweatherisationtreatments,e.g.solarwaterheaters,mayimpose

    costs suchasmaintenanceoraestheticson theparticipant.Suchnegativecobenefits (co

    costs)shouldbeestimatedandsubtractedinanycosteffectivenesscalculation.

    Useofcobenefitsincosteffectivenessevaluation.Careshouldbetakeninconstructingthe

    socalledregulatorytestsforweatherisationprogrammes.Someregulatorytests,(e.g.utility

    costorparticipantcosttest),willnecessarilyexcludesomecobenefits.

    US utilities have some experience in estimating the changes in arrearages and collection

    activities,andsoftercobenefitestimationisoftenusedinmarketingandtargeting.Howeverco

    benefit estimation remains largely absent from programme evaluation, except in a few

    jurisdictions.Developingmethodologies suitable tocobenefitsestimationandworking through

    theevaluationchallengesrequires investment inevaluationresearch.Nevertheless,theremust

    be an appetite by policy makers and regulators for cobenefits estimation results before

    resourceswillbemadeavailable todevelopmentnewmethodsandapproaches.This chicken

    andeggproblemneedstoberesolvedbeforecobenefitsevaluationresearchcanmoveforward

    inasignificantway(Skumatz,2011b).

    MatthewMurrayoftheUKEnergySavingTrust(EST)describedeffortsundertakenwithintheir

    agency to harness existing consumer survey data to learn more about the incidence and

    dynamicsoffuelpovertyinacosteffectivemanner.Themethodinvolvedsimpleanalysisofdata

    collectedthrough

    asurvey

    of

    individuals

    who

    had

    contacted

    the

    EST

    and

    received

    advice

    on

    energyefficiencyandother issues.Datacollected from thesurvey includedall the factors that

    determinefuelpoorhouseholds,e.g.fuelbills,dwellingtypeandnumberofrooms,employment

    status,familysizeandincome.

    Table8.Comparingincometodwellingtypetoestimatefuelpoverty

    9

    Dwelling type and estimated fuel costs

    Detbungalow

    Dethouse Flat Terrace

    Semibungalow

    Semihouse

    Householdincome

    (10%ofactualincome)

    899 1,388 629 849 899 989

    500 1% 1% 1% 1% 1% 2%

    625 1% 1% 1% 2% 0% 2%

    875 1% 1% 2% 2% 1% 3%

    1,250 2% 2% 1% 3% 1% 4%

    1,750 2% 3% 1% 2% 1% 4%

    2,500 3% 4% 2% 3% 0% 7%

    4,000 2% 6% 1% 3% 0% 6%

    5,000 1% 6% 1% 1% 0% 4%

    Source:EnergySavingsTrust,2011.

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    ESTmanipulatedthedataintwoseparatewaysinordertoconsiderthedifferencebetweenthe

    reported level of household energy bills and the amount of energy a household would be

    expectedtopurchaseinordertorequiretomaintainhealthy livingconditionswithreferenceto

    the nature of the dwelling. Analysis based on reported spending yielded estimates of 19%

    incidence of fuel povertywhile the needsbased analysis showed an incidence of 22%. Data

    suggestedthat

    incidence

    of

    fuel

    poverty

    is

    highest

    in

    detached

    and

    semi

    detached

    houses

    (Table8).4Thisworksupportstheargumentthatfuelpoorhouseholdsunderconsumeandthat

    there is unmet demand for energy services. This methodology is of interest, recalling the

    proposalmadebyLisaSkumatzthat,inlightofthecomplexityandcostbarrierscurrentlyfacedin

    quantifying fuel poverty, practicalmethodswhich provide indicative and range values canbe

    usefullypursuedtoinformdecisionmaking.

    RogerColtonoftheUSlawfirmFisher,Sheehan&ColtondescribedthedevelopmentofaHome

    EnergyInsecurityScale,usedtoshowimprovements inthelivelihoodofhouseholdsafterfuel

    poverty reduction measures (Figure 7). Such a metric is useful for making outcomesbased

    evaluationsofboth fuelpovertypolicymixesand identifyingtargetpopulations, irrespectiveof

    the

    type

    of

    policy

    being

    implemented.

    The

    vast

    majority

    (75%

    to

    80%)

    of

    low

    income

    households

    receivingassistanceviatheWeatherisationAssistanceProgramme(WAP)fallintothevulnerable

    orincrisiscategory.Thiswasbydesign,withtheintentionofachievingbillreductionssufficient

    tomovehouseholdsup thehome insecurity scale towards selfsufficiency.However, for some

    householdswithveryhighenergybillburdensthe20%reductioninaffordabilitywasnotenough

    to lift them out of fuel poverty. This population required a different policymix additional

    weatherisationorweatherisationplusfuelbillassistance.Thisscalehelpsshowthe importance

    ofmeasuringoutcomes.

    Figure7.Homeenergyinsecurityscale

    HomeEnergy

    Insecurity

    Scale

    InternalStructure:FiveThresholdsofIncreasingSelfSufficiency

    *Thriving

    *Capable

    *Stable

    *Vulnerable

    *In

    Crisis NEB

    =

    Movementtowards

    self

    sufficiency

    Source:Colton,2011.

    RogerColtondescribedanothermethodologywhichhasprovenuseful forenergyproviders in

    quantifying the benefits of sponsoring fuelpoverty reduction assistance programmes. The

    conceptofNETBACKlooksatcostsrelatedtocollectionandarrears,e.g.directfinancialbenefits

    4Thefuelcostsarebasedonengineeringestimatesforeachdwellingtype.

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    toenergyproviders(ratherthansocialconsequences)andcalculatesthetotalamountcollected

    byenergyprovidersminusthetotalexpensesinvolvedwiththecollectiontechnique,toshowthe

    neteffectontheutilitysbottomline.

    Collection techniques are defined broadly and include traditional debt collection activities,

    disconnectionsand

    reconnections,

    energy

    assistance

    programmes

    and

    low

    income

    energy

    efficiency activities. NETBACK calculations have consistently demonstrated that assistance

    programmeshaveapositiveeffecton thebottom line.Whilebills issued tocustomersundera

    programmearegenerally lower,therevenuecollected ishigherbothasapercentageofthebill

    and in real terms. Auseful tool forenergyproviders, theNETBACKcalculationalso shows that

    peopleinassistanceprogrammesconsistentlyrespondbetterthanthosenotinsuchprogrammes.

    BruceTonnofOakRidgeNational Laboratory (ORNL)described several aspectsof anongoing

    programofevaluationfortheUSWAP.Theseevaluationeffortsarebeingcarriedoutincloseco

    operationbetweenthestateand localjurisdictionsthatadministertheWAP,andwill includea

    widearrayofdifferentevaluationapproachesandexperiments.

    Akey

    element

    of

    the

    evaluation

    research

    programme

    is

    improving

    understanding

    of

    issues

    such

    as indoorair quality impacts and nonenergy cobenefits of weatherisation. A controlled

    experiment involving 550 singlefamily homes in treatment and control groups stratified by

    housingtypehasbeencreated, includingpre andpostweatherisationsamplingperiods.ORNL

    teams are installing inhome measurement equipment for carbon monoxide, radon,

    formaldehydeandindoortemperatureandrelativehumidity.Homeswillalsobetestedpre and

    postweatherisationforcarbonmonoxidefromcombustionappliances,moistureaccumulationor

    mould growth and air leakage (blowerdoor) test results. This study isnovel in the extent to

    whichis intendstoevaluatenonenergycobenefitsinadditiontohealthandenergyoutcomes.

    One year afterweatherisation, a survey team including sociologistswill gaugenonenergy co

    benefits, includingchanges incomfort, incidenceof illness,needformedicalattention,changes

    in

    indoor

    safety,

    changes

    in

    energy,

    food,

    medicinal

    security,

    changes

    in

    employment,

    school

    attendanceandchangesinfamilyfunctionality.Theresultsofboththeindoorairqualityandco

    benefitswillbecorrelatedwithlargersamplesfromtheweatherisationprogrammetoallowthe

    detailedresultsfromthisstudytobeextrapolatednationwide.

    ORNL has attempted tomitigate the high financial and human resource burden of assessing

    weatherisationoutcomes to suchaclosedegree through innovative resourcesharingbetween

    government departments the US Environmental Protection Authority (EPA) contributed

    fundingandscientificanalysisservicestotheWAPresearchteaminreturnfortheinstallationof

    EPAsradonmeasurementdevicesbeinginstalledinadditiontoweatherisationmeasures.

    Session7:Thewayforward

    TheIEAresearchoninnovationinlowincomeenergyefficiencypoliciesissupportedbymember

    governments who have identified fuel poverty as a problem in need of various policy

    interventions. Policies and programmes have been developed that address each of the root

    causesoffuelpoverty: low income,highenergypricesandpoorhousingquality.Thesepolicies

    andprogrammesrelyonbalancedassessmentsofwhetherprogrammeinvestmentswillproduce

    meaningful outcomes in a costeffectivemanner. Evaluation is a critical tool inmaking these

    policyandprogrammeassessments,andconsequently improvements inevaluationcan lead to

    improvementsinpolicies,programmesandoutcomes.

    Thissessionprovidedanopportunitytodiscusstheimportanceofevaluationinthefuelpoverty

    policy context and the relevance of cobenefits evaluation to future programme and policy

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    development. Speakers from the EuropeanUnion, Ireland,United Kingdom andUnited States

    described the policy landscape and evaluation needs in their countrieswith the objective of

    informationsharingandidentifyingareasforcollaboration.

    TadgOBrianoftheEuropeanUnionsDirectorateGeneral(DG)Energydescribedtheapproach

    to

    low

    income

    energy

    efficiency

    in

    overall

    European

    energy

    policy.

    Under

    the

    EUs

    Third

    Package

    which came into effect on 3 March 2011, emphasis has been placed on empowering the

    consumerandincreasingconsumerprotection.Withregardstoenergyefficiency,obligationsfor

    reducingenergy consumptionhavebeenplacedonDistribution SystemsOperators (DSO) and

    suppliers to secure energy savings, reinforced by a renewed role for national regulators in

    monitoringconsumerprotectionandmarketfunctioning.

    Memberstatesarerequiredtoinstitutenewprotectionmeasuresforenergycustomers,including

    complainthandlingmeasuresandombudsmen interactingwithothersocialpolicymeasuresand

    institutingprohibitionsondisconnectionatcritical times.Thiswillalso includetheobligation to

    define the concept of vulnerable customers. In attempting to seek a broad definition, the

    vulnerablecustomermayrefertoenergypoverty,butisnotspecificallyrequiredto.Suppliersin

    turnmust

    identify

    their

    vulnerable

    customers

    and

    prepare

    strategies

    for

    assisting

    them.

    Stjohn OConnor of Irelands Department of Communications, Energy and Natural Resources

    described the fuelpoverty landscape in Ireland.20%of1.8million Irishhouseholdsare in fuel

    poverty based on the Boardman definition, but these figures change significantly usingmore

    specific indicators suchas selfreportednecessity to intermittently selfdisconnect.Asa result,

    Ireland is now working on a new metric which might allow more targeted identification of

    Irelandsfuelpoor.Irelandconsidersfuelpovertyamongitsnationalprioritiesandhasdeveloped

    measuresandsupportstoaddresseachofthethreemaindriversoffuelpoverty.Fuelassistance

    totalledoverUSD494million(EUR350million) in2009,splitbetween fuelallowancesand free

    gas and electricity. In 2010, 370 000 Irish households received fuel allowances or energy

    entitlements an average outlay of USD1 412 (EUR1000) per recipient. Thermal efficiency

    measurestargeted

    three

    main

    buildings

    segments

    private

    housing

    (1.6

    million

    units),

    social

    housing (130000 units) and voluntary housing. The Warmer Homes Scheme delivered by

    communitybased organisations and private contractors, targets lowincome households for

    energyefficiency interventions. Since 2001, some61412 homes have been upgraded at a

    cumulative costofUSD84.7million (EUR60million)againanaverageoutlayofUSD1412

    (EUR1000)per recipient.Otherhousing initiatives includea centralheating scheme for social

    housing,renovationgrantsforolderanddisabledpersons,standardsforrentalaccommodation,

    andretrofittingofvacantdwellingsandapartmentcomplexes.

    These activities are modest compared to the vast opportunities for thermal efficiency

    improvement in Ireland. Less than 10% of social housing units rate an A or B building

    certification,while

    more

    than

    half

    have

    aD

    or

    worse

    rating

    (Figure

    8).

    The

    distribution

    of

    housingefficiencyratingsforprivatehousingstockislesswellknown,butlikelyquiteabitworse

    thansocialhousing.

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    Figure8.Distributionofbuildingratings socialhousingunitsinIreland

    Source:OConnor,2011.

    Neweffortsareunderwaytotryandshiftthebalanceoffuelpovertyreductionoutlaystowards

    moreofanemphasisonthermalefficiency.ANationalAffordableEnergyStrategywillbereleased

    in2011afterayearofconsultationandcomments.Somepossibleinnovationsincludecalibrating

    fuel assistance to reflect the thermal efficiency of the property,more targeting of themix of

    poverty policies for individual households, development of thermal regulations for rental

    property,anddevelopmentofmorerobustdataespeciallyforprivatehousingstock.Thereisalso

    support for amore areabased approach to thermalefficiency interventions. The hope is that

    concentrationofeffortwouldcreateeconomiesofscaleandmakeiteasiertoidentifycobenefits.

    JamieTorrensoftheUKDepartmentofEnergyandClimateChange(DECC)describedtheUnited

    Kingdomapproach to fuelpoverty.TheUnitedKingdomsubscribestotheBoardmandefinition

    forfuelpoverty,onthebasisoftheexpectedexpenditurewithreferencetothetypeofdwelling.

    UK fuelpoverty policy is geared tomeet the target laid out in the UK Fuel Poverty Strategy,

    namely, to eradicate fuelpoverty in allhouseholds inEngland by 2016, as far as reasonably

    practicable(DECC,2009)5.

    As in other countries,UK fuelpoverty policies address each of the factors contributing to fuel

    poverty (Figure 9). Spending on thermal efficiency improvements delivered under the Carbon

    EmissionsReductionTarget (CERT),whichobligesenergysupplierstoreducecarbonemissions in

    thedomestic

    sector,

    is

    an

    important

    element

    in

    the

    fuel

    poverty

    policy

    mix

    (Table

    1).

    The

    Warm

    FrontSchemespentUSD573 (GBP 350 million) in201011,whileportfoliospendingunderthe

    CERTisestimatedatUSD1.8(GBP1.1billion).However,energyassistancepaymentsstilldominate

    totaloutlays;2010/11spendingonsocialtariffs,winterfuelpaymentsandcoldweatherpayments

    totalledUSD5.2billion(GBP3.2billion).Targetingfuelpoorhouseholdsremainsachallenge.The

    approachintheUnitedKingdomistotargetgroupsofhouseholdsthathaveahigherpropensity

    tofuelpoverty,identifiedthroughreceiptofsomeformofentitlementpayment.

    5TheScottishExecutivehasatargettoeliminatefuelpovertyby2016whiletheWelshAssemblyhasatargettoeliminateit

    by2018.

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    Figure9.TheUKapproachin2010/11touchedoneachofthethreedriversoffuelpoverty

    Source:

    DECC,

    2011.

    TheUKSpendingReviewwillresultinmajorchangestothewayinwhichsupportisdeliveredto

    fuelpoorhouseholds.A smaller,more focusedWarmFrontSchemewillcontinue for thenext

    twoyears,closingbytheendof2012/13.DECCarecurrentlyworkingontheGreenDealandthe

    Energy Company Obligation (ECO). The Green Deal is being designed to provide a route to

    customers to access highquality energy efficiency measures. Through the ECO, energy

    companieswillbeobligedtosupportthedeliveryofenergyefficiencymeasures,focusedatthe

    poorestandmostvulnerable.

    TheWinterFuelPaymentandColdWeatherPaymentprogrammeswillcontinueandadditionally,

    thenew

    mandatory

    Warm

    Home

    Discount

    will

    require

    energy

    suppliers

    to

    provide

    direct

    energy

    billsupportintacklingfuelpoverty.

    Challengesfacinganythermalefficiencyimprovementinterventionswillcontinue,including:

    Costeffectiveness: The economic impact of deliveringmeasures to lowincome households

    tendstobe low,duebothtothetendencyofthesehouseholdstounderheat (whichmeans

    thatenergyandcarbonsavingsfromimprovementsinthermalefficiencytendtobelow)and

    tothelackofmethodologiestotakeintoaccountnonenergybenefits(e.g.healthcaresavings).

    Deliveryarrangements:It isimportanttotargetmeasuresatthosehouseholdsmostinneed

    ofsupportbutdifficultiesinidentifyingfuelpoorhouseholdspersistandmaybecompounded

    whenpolicies aredeliveredbyenergy supplierswho tend tohold little informationon the

    economicand

    social

    circumstances

    of

    their

    customers.

    Linkage to climategoals:Energyefficiencymeasures generally contributeboth to reducing

    fuel poverty and GHG emissions; however, some investments desirable from a thermal

    efficiencystandpoint(e.g.newgasfiredcentralheatingsystems)canincreaseGHGemissions.

    Ofparticular interest to thisworkshop is the role that evaluation canplay in illuminating the

    broader economic benefits of lowincome energyefficiency policies and programmes. It is

    particularlyimportanttostrengthentheevidenceinthefollowingthreeareas:

    Valuationresearch:capturingmoreofthebenefitsofprogrammesinpolicyappraisal.

    Behavioural research: understanding how lowincome and vulnerable households behave

    whentheyreceiveinsulationandheatingmeasures.

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    Delivery:identifyingwhichhouseholdsshouldreceivesupportthroughpoliciesthataredelivered

    byenergysuppliers,andtradingoffpovertyreductionandGHGemissionreductionobjectives.

    DECChascommissionedanewstudyonthehealthimpactsofimproveddomestichousingstock,

    inorder toexpand therangeofeconomicbenefits included inprogrammeevaluation.Thekey

    challengeis

    linking

    benefits

    to

    interventions

    and

    then

    monetising

    the

    benefit

    estimates.

    BruceTonnprovideda reviewof the fuelpoverty reduction landscape in theUnitedStates.A

    dominant consideration inUS fuelpoverty circles is the effect of thewithdrawal of stimulus

    fundingdue in2012.With the2009passageof theAmericanReliefandRecoveryAct (ARRA),

    fundingofLIHEAPdoubledandtheWAPreceivedan infusionofUSD 5billionoverthreeyears

    (comparedtoUSD 250 millionannually).Thestimulusspendingmorethandoubledthenational

    weatherisationworkforce, tripled the number of homes weatherised annually and increased

    funding forhotclimate statesandUS territories. Italso fundedpublichousingweatherisation,

    expansion of evaluation activities and piloting of innovative approaches to financing and

    deliveringlowincomeweatherisation.

    When

    funding

    returns

    to

    pre

    ARRA

    levels,

    economic

    impacts

    will

    include

    lost

    jobs

    and

    wasted

    investments in support infrastructure,not tomentiongrowth in the incidenceof fuelpoverty.

    Many innovative ideas to fill the fundinggaparebeing investigated,notably through theUSD

    120millionWeatherizationInnovationPilotProgramme(WIPP).WIPPwillexplore innovationof

    all kinds from technologies anddelivery arrangements to financing andevaluation. Several

    projectswillfocuson innovation infinancing lowincomeweatherisationthroughrevolving loan

    funds,energyservicecompaniesandmultifamilybuildings,onbillfinancing,mortgagefinancing,

    propertytaxfinancingandcarbonoffsets.Thethrustoftheseeffortsistofindamechanismfor

    financingprojects from savings. Innovations arounddelivery arrangements include YouthBuild

    andHabitatforHumanity,whichwillexperimentwithalternativeweatherisationworkforces.A

    paralleleffortcalledtheSustainableEnergyResourcesforConsumersProgram(SERC)willfocus

    on

    sustainable

    technologies

    for

    housing,

    e.g.

    solar

    PV

    (Photovoltaics),

    solar

    hot

    water

    and

    cool

    roofs. SERC will pilot and then qualify promising technologies to be included in the list of

    approvedtechnologiesforWAP.Finally,therewillbeeffortstoinnovatearoundtheroleofstate

    and localagencies.With lessfederalfunding,theseagenciesmightbeginsomeofthefollowing

    projects:offeringtheirownfeebasedservices,expandingexistingofferings,expandingintonon

    lowincome housing weatherisation or undertaking largescale weatherisation ofmultifamily

    buildingswithownerortenantcofinancing.Alloftheseeffortstobroadenaccesstofinancing,

    upgradingtechnologies,reducingdeliverycostsanddevelopingnewmarketswillbenecessaryto

    fillthegapleftbyARRAfunding.

    ORNL has traditionally been the programme evaluator for LIHEAP and WAP and is now

    implementing evaluationsof both theWIPP and SERC activitieswhichwill examine economic

    benefits,implementation

    issues,

    energy

    savings

    and

    innovation

    outcomes.

    Other

    key

    evaluation

    activitiesincludeanenergysavingspersistencestudythatexaminessocialservicesnetworksand

    their role in mitigating fuel poverty, a weatherisation deferral study and studies of under

    performing homes and buildings. ORNL will also be evaluating the entire ARRA funding

    experience,with special focus on the effectiveness of stimulus spending in creatingjobs and

    economic benefits for communities.As part of this effortORNLwill estimate nonenergy co

    benefits (e.g. national energy savings, household energy security, GHG emissions, and local

    employment)of stimulus spending. Finally the enhanced evaluation effortwill address vexing

    programmedesignquestions, such as linkagesbetweenweatherisation and indoorairquality,

    theneedtocapperhomespending,programmeexpansionorrefinement(e.g.deeperretrofits,

    multifamilybuildings)andrevisionoftheprogrammecosteffectivenesstest.

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    ConclusionsandResearchPriorities

    Asaresultoftwodaysof fruitfuldiscussionsandconstructiveideasharing,the IEASecretariat

    wasabletodrawthefollowingpreliminaryconclusionsonthecurrentstateandfutureprospects

    ofco

    benefits

    estimation

    of

    low

    income

    energy

    efficiency

    programmes:

    Fuelpoverty definitions should be policyrelevant and lead to practical action. The

    Boardman10%of incomedefinition ismost commonlyused,buthas limitations.Although

    based on objective indicators (energy outlays and income), it has a qualitative ingredient:

    satisfactory energy services. The EU definition of twice themedian spending has a similar

    limitation. Taking apassport approach to fuelpovertywhere households are evaluated

    basedonobservationaswellasobjective indicators isan improvementbut stilla static

    approach toadynamic issue.Thesedefinitionshave realpolicy relevance,both in termsof

    effectivetargetingandalsointermsofconfidenceinidentifiedcobenefits.

    Howeverdefined,fuelpovertyisgrowing.Thelongtermincidenceoffuelpovertyhasremained

    steady at about20% inmany IEAmember countries.However, several speakersnoted recent

    spikesin

    estimated

    fuel

    poverty

    incidence,

    for

    example,

    up

    to

    44%

    in

    Northern

    Ireland.

    Fuel

    povertyisalsorelativelyhighinEasternEurope,basedonWHOLARESdata.Continuedeconomic

    troublesandrecentincreasesinenergypriceswilldoubtlesscontinuethisupwardpressure.

    Financial, economic and social welfare cobenefits of lowincome energy efficiency are

    large,butmostlyexcluded fromprogrammeevaluation.Someevaluationexpertsestimate

    nonenergycobenefitstobethreetimeshigherthanenergysavings.Participantcobenefits

    dominate,buteconomicbenefitstocommunitiesandsocialwelfarebenefitsarelargeaswell.

    Benefits to energy providers are small proportionally, but documenting them might be

    strategicinincreasingutilitydeliveredlowincomeenergyefficiency.

    Certain cobenefits stand out as opportunities for evaluation research. Childrens health

    standsout

    as

    apotential

    high

    value

    co

    benefit

    worthy

    of

    early

    evaluation

    research

    attention.

    For example, childhood asthma affects asmany as 15% of children in some IEAmember

    countries and has been linked to damp and mouldy indoor conditions. Similarly, a

    disproportionate number of underweight small children hospitalised during cold months

    prove tobe from energy insecurehouseholds. Being