data framework and how it influences policies Chris Nicholls - - PowerPoint PPT Presentation

▶
data framework and how it
SMART_READER_LITE
LIVE PREVIEW

data framework and how it influences policies Chris Nicholls - - PowerPoint PPT Presentation

Jan 11, 2023 341 likes •474 views

The UK Governments NEED data framework and how it influences policies Chris Nicholls Contents What is NEED? Methodology and results Using NEED in government Impact on research 2 What is domestic NEED HEED Energy efficiency

slide-1
SLIDE 1

The UK Government’s NEED data framework and how it influences policies

Chris Nicholls

slide-2
SLIDE 2

Contents

2

What is NEED? Methodology and results Using NEED in government Impact on research

slide-3
SLIDE 3

What is domestic NEED

3

Energy Suppliers

Consumption (Elec. and gas) AddressBase Unique property reference

Experian

Household characteristics

VOA

Property attributes

HEED

Energy efficiency measures

  • Framework for combining

data from existing sources

  • Provides insights into how

energy is used

  • Impact of installing an

energy efficiency measures on gas consumption

slide-4
SLIDE 4

What is NEED?

Energy company billing systems Xoserve

[For 4 aggregators -

  • approx. 20m meters]

IGTs

[other 6 aggregators -

  • app. 1m meters]

Data aggregators [31 organisations]

Meter Number (MPAN) and Address Meter readings

Gemserv

Electricity Gas

Matching via AddressBase UPRN

Meter Number (MPRN), address and consumption Supplier permissions SoTA Consumption and meter number (MPAN) Meter readings

HEED energy efficiency measures installed

(managed by EST)

Energy Performance Certificates Experian Residata

Energy suppliers EST web-survey (self completion) Housing Surveys Data from trade associations (e.g. FENSA, Gas Safe) Walker Martin

Measures delivered through Gov’t schemes Construction and measures installed in homes Measure installed, date of installation and address

NEED Analysis file at VOA

(inc. prop attributes data)

Matching to

  • ther data

Output Area Classification National Statistics Postcode Directory

Experian consumer surveys Experian household demographics and mosaic

Modelling Measures delivered (excluding supply info) Household level estimates for income and tenure Meter point consumption data Energy efficiency measures installed Household characteristics

Data inputs

National Energy Efficiency Data-Framework (NEED)

Data inputs

Assessment by accredited assessor Census 2001 ONS data

Valuation Office Agency Property Attributes Data Property surveys Voluntary questionnaires Information from Local Authorities on planning consent. Freely available information e.g. information about properties sold.

Property attributes Linking via UARN/UPRN lookup

Consumption data

(used for sub-nat)

GROS NISRA Royal Mail Ordnance Survey Energy Company Obligation (ECO) measures installed Ofgem Obligated energy suppliers

Matching via AddressBase UPRN

slide-5
SLIDE 5

Results – domestic consumption

5

slide-6
SLIDE 6

Results – domestic consumption

6

  • Rural properties

typically consume the most gas and electricity

  • Driven by property

size

  • Off gas properties

in rural areas Consumption, 2012, by rural urban classification

slide-7
SLIDE 7

Results – domestic consumption

7

5,000 10,000 15,000 20,000 25,000 30,000 35,000 50 or less 51 to 100 101 to 150 151 to 200 Over 200 Median gas consumption (kWh) Floor Area, m² 1 2 3 4 5 Index of Multiple Deprivation Quintile

  • For each floor

area band, consumption higher for less deprived properties

  • Deprived areas

are more likely to be social housing - more energy efficient, could be under-heating Gas consumption, 2012, by floor area and index of multiple deprivation

slide-8
SLIDE 8

Impact of measures methodology

8

  • Difference in differences approach
  • Each property in the intervention group is also matched to an equivalent property in the

comparator group to allow comparisons of median, and distributions.

Intervention Pre- intervention Post- intervention Gas consumption Time A B C Intervention group Comparator group

slide-9
SLIDE 9

Results – impact of measures

9

  • 18%
  • 16%
  • 14%
  • 12%
  • 10%
  • 8%
  • 6%
  • 4%
  • 2%

0% Cavity wall insulation Loft insulation Condensing boiler Solid wall insulation Percentage saving Median Mean

Annual gas consumption savings by type of measure, 2012

slide-10
SLIDE 10

Results – impact of measures

10

Annual gas consumption savings by type of measure, 2012 Energy Efficiency Measure Percentage Savings Saving (KWh) CWI Median

  • 8.4%
  • 1,200

Mean

  • 7.1%
  • 1,300

Loft Insulation Median

  • 2.6%
  • 400

Mean

  • 2.2%
  • 400

Condensing Boiler Median

  • 9.2%
  • 1,300

Mean

  • 8.0%
  • 1,500

Solid Wall Insulation Median

  • 17.2%
  • 2,200

Mean

  • 14.7%
  • 2,100
slide-11
SLIDE 11

NEED’s influence on DECC’s policies

11

  • Green Deal and ECO: estimates of savings from insulation measures to

inform in-use factors for carbon savings delivered

  • Revisions to carbon savings delivered by previous schemes (eg. CERT,

CESP)

  • Fuel poverty: consumption by income and tenure to inform policy
  • Inform development of other policies: heat; RHI, FITs, future policies etc.
  • More accurate understanding of the impact of policies on Carbon Budgets
slide-12
SLIDE 12

NEED-related research

12

  • Consumption by property attributes:
  • determine under-heating
  • rebound effects
  • Linking to other data:
  • EPCs: link between EPC ratings and energy consumption
  • Green Deal evaluation: energy efficiency behaviours and intentions
  • Behaviours of high/low consumption households
  • Serial installers
  • Motivators
slide-13
SLIDE 13

Thank you

13

Chris.nicholls@decc.gsi.gov.uk