low income energy efficiency
TRANSCRIPT
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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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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