An overview of how data can be used to target actions to reduce carbon emissions as required by the HECA report.

1. HECA
Making use of data
Matt Cotton (NEF)
Ruth Wharton (USEA)

2. “Making use of your data”
• What data sets are available?
• How to make use of the data
• Example datasets
• DECC data
• ‘Other’ data
• “Street by street” approach – use of housing stock data
• Making sense of data through mapping

3. Baseline data
DECC datasets:
•CO2 emissions
•Households in fuel poverty
•Cavity wall
•Loft insulation
•Domestic gas & electricity
•FiT installations
Other sources:
•RHI installations (ofgem & EST)
•EPC “data packs” (Landmark)

4. How to make use of the data
Datasets Reporting
‘Further’ report (April 2013)
Use detailed datasets to create an “Action Plan”
•Identify street by street opportunities e.g. identify opportunities for ECO
subsidy
•Set realistic targets
•Identify practical, achievable and affordable projects to meet targets
•Map data (using GIS) – provide better visibility
‘Progress’ report (2015….2017…..)
•Set timescales for implementation

5. How to make use of the data
Developing an “Action plan”
•Use datasets to answer the following:
• Which properties may be eligible for ECO subsidy (Affordable Warmth, CSCo)?
• Which properties have solid or hard to treat walls?
• Where are the fuel poor households?
• Are there opportunities for district heat networks (linked to new development)?
• Etc…….
•Clear action plan / data will help to:
• Attract inward investment (e.g. Green Deal Providers / ECO subsidy / ESCOs)
• Inform L.A’s looking to setup as Green Deal providers, partners or promoters
• Identify priority areas (e.g. areas which can attract ECO and where there are
large numbers of poorly insulated homes)
• Ensure co-ordinated approach between partners – L.A, RSL’s, Green Deal
Providers etc

6. How to make use of the data
DECC datasets?
• Fuel Poverty - % fuel poor (LSOA level) – although criteria may change?
• CO2 emissions in housing sector:
• CO2 emissions (L.A level)
• Domestic gas consumption (LSOA levels)
• Electricity consumption (LSOA levels)
DECC DATASETS
• Cavity wall and loft insulation – Insulation per 10,000 homes (L.A level)
• PV installations – Total number and number per 10,000 homes (L.A level)
What level of data is required to develop an “Action Plan” – L.A,
LSOA, Ward, Street, dwelling level?

7. Changes to the Fuel Poverty index…..
Low Income High Cost approach
•Households with low incomes
(once fuel bills taken into account)
•Fuel poverty gap – amount a household’s energy bill would
need to be reduced by in order for them not to be in fuel
poverty.

8. Changes to the Fuel Poverty index…..
Proxies to identify households
•EPCs with energy efficiency rating E,F,G
(approx 81% of fuel poor)
•Non-cavity wall properties
•Energy pre-payment meters
•Detached properties
Consultation closes 30th November

9. ‘Other’ datasets
Renewable Heat Installations
•Renewable Heat Incentive (RHI)
• Administered by ofgem
• Data available at National Level for non domestic only
• RHI for domestic - Summer 2013 (ofgem to make data available to L.As?)
•Renewable Heat Premium Payment (RHPP)
• Administered by Energy Saving Trust
• Data available at Regional Level (i.e. number of installations benefitting from RHPP)
•Alternatively…Use Housing stock data to quantify installations (EPCs)

10. ‘Other’ datasets
Smart meters
•Next generation of gas and electricity meters
•All UK homes to be offered a smart meter by the end of 2019 –
reason = better information for customer
•Energy suppliers responsible for installation
•Currently no data on uptake available at L.A level
•Mass roll out starting in 2014 (some already installed through
pilots and customer requests)

11. Housing Stock Data
Digging into the detail…….
•“Street by street” approach
•Requires more detailed datasets
•Which houses / streets are most likely to benefit
from e.g.
• ECO & Green Deal
• RHI
• Feed-in tariff
•Already a lot of data available:
• Social Housing partners - already have databases?
• What about private tenure? – EPCs / Building Control
• Previous work (e.g. Green Deal feasibility studies?)
• Other datasets (e.g. Cocoon, HEED Online 2)

12. Housing Stock Data
Energy Performance Certificates (EPCs)
•Available from ‘Landmark’ since April 2012
•“Data packs” cover data relating to:
• Domestic Energy Performance Certificates;
• Non-domestic Energy Performance Certificate;
• Display Energy Certificate;
• Air Conditioning Inspection Report.
•3 levels of “pack”
• Small (1p per property)
• Medium (5p per property)
• Large (10p per property)
* Plus admin fee of £100

13. Housing Stock Data
• Small “pack”
• Address of the property (inc postcode)
• Energy efficiency rating (EPC)
• Potential energy efficiency rating
• Property type
• Inspection date
• Lodgement date

14. Housing Stock Data
• Total floor area
• Medium “pack” = Small pack + • Energy tariff
• Transaction type • Property connected to the gas network
• Current environmental impact • Floor level
• Potential environmental impact • Top floor (for flats)
• Current energy consumption • Storey count for the property
• Potential energy consumption • Overall dimensions and size of the building
• Current C02 emissions • Type of heating controls
• Potential C02 emissions • Proportion of windows which are multi-glazed
• Current lighting cost • Types of glazing and area glazed
• Potential lighting cost • Number of extensions to the property
• Current heating cost • Number of habitable rooms
• Potential heating cost • Number of heated rooms
• Current hot water cost • Proportion of low energy light bulbs
• Potential hot water cost • Number of open fireplaces

15. Housing Stock Data
• Environmental efficiency of roof
• Description of main heating (identify
• Large “pack” = Small + Medium +
renewable heat)
• Recommended improvements
• Energy efficiency of main heating
• Language code
• Description of main heating controls
• Hot water heating source
• EE of main heating controls
• EE of hot water heating source
• Env efficiency of main heating controls
• Description of underfloor heating
• Description of lighting
• Energy efficiency of underfloor heating
• Energy efficiency of lighting
• Env efficiency of underfloor heating
• Environmental efficiency of lighting
• Description of windows
• Main fuel type
• Energy efficiency of windows
• Number of wind turbines
• Environmental efficiency of windows
• Unheated corridor length
• Energy efficiency of walls
• Floor height
• Environmental efficiency of walls
• Photovoltaic supply
• Description of secondary heating
• Solar water heating
• Energy efficiency of secondary heating
• Mech ventilation.
• Env efficiency of secondary heating
• Description of roof

16. Housing Stock Data
EPC “data packs”
Opportunities at Map data (GIS)
house /street level
•ECO eligible homes
•Homes with SWI
•Fuel poor
•Quantify opportunity (e.g.
how many homes could
benefit from loft
insulation)
•Synergies with other
refurbishment work
‘Other’ data:
RSL datasets
L.A Asset Management Databases
Insulation initiatives - Cocoon
Building Control data Use to inform targets and action plan
HEED Online 2 data

17. What does the data show?
www.usea.org.uk
www.usea.org.uk

18. www.usea.org.uk

19. Data USEA already has
Admin maps – boundaries (county/LA etc.)
Midi maps – roads/town/forests etc.
Solid wall and off gas data
DECC’s data – e.g. gas/elec consumption
Ofgem – solar PV installs receiving FITs
Indices of Multiple Deprivation
Fuel poverty
www.usea.org.uk
www.usea.org.uk

20. Other datasets
Extensive amounts of data available
from ONS.
E.g. ‘Dwelling Stock by Tenure and
Condition’
Ordnance Survey – postcode
coordinates
HEED online 2 – is this useful?
Cocoon insulations (in particular
those LAs which have had grants
managed through USEA
www.usea.org.uk
www.usea.org.uk

21. Thank you – Any questions??
www.usea.org.uk
www.usea.org.uk