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Energy demand
Context
Capability for low carbon technologies
Local energy dashboard - Eynsham

LEMAP  dashboard shows information  about your postcode; including socio-economic and baselining data, such as annual energy demand; existing renewables and targeted dwellings for particular low carbon technologies. 

OX29 8JD

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0

Suitable for EV charger + PV + HP + battery

Suitable for EV charger 

Electric vehicle (EV) charger

It is assumed that EVs travel an average of 32 km per day, consuming 0.20 kWh per km, resulting in a daily energy demand of 6.4 kWh/day. 

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0%

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Suitable for solar PVs

Suitable for PVs + battery

Number of dwellings / percentage of dwellings in the postcode

Photovoltaic panels (PV)

Dwellings potentially targeted for low carbon technologies

It is assumed that targeted dwellings have a PV system of 12 panels, an area if 19.2 m2, system efficiency of 0.15 ηpv, slope of 40° and south-oriented. 

Home batteries of 5 kWh charged with surplus solar electricity set to discharge at 5 pm in the peak evening period.

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0%

0%

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0

0%

0%

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0

0

Suitable for heat pump

Suitable for heat pump + battery

Ground source heat pumps

Air source heat pumps

Heat pumps

Dwellings suitable for GSHP required to be well insulated, at least double glazes, with garden and not being a mid-terrace house.

Dwellings suitable for ASHP required to be well insulated and at least double glazes.

Daily electricity profile

(Postcode's  estimated typical electricity profile)

Heating season

Non-heating season

Daily electricity profile with battery

(Postcode's  estimated typical electricity profile)

Heating season

Non-heating season

Daily electricity profile

(Postcode's  estimated typical electricity profile)

Only showing heating season - as heat pumps do not represent a significant load during summer (non-heating season).

 Heat pump energy profile 

in heating season

Heat pump + battery energy profile

in heating season

Daily electricity profile 

(Postcode's  estimated typical electricity profile)

Heating season

Non-heating season

Daily electricity profile with battery

(Postcode's  estimated typical electricity profile)

Heating season

Non-heating season

Dwelling age

Previous to 1870

1870-1919

1980-1999

2000-2009

2010-present

1920-1945

1946-1954

1955-1977

Number of dwellings

0

0

0

0

0

0

0

2

Built form

Detached

Semi-detached

Terraced

Flats

Domestic outbuilding

Number of dwellings

0

0

0

2

0

Home tenure

Owner occupied

Private renter

Social renter

Number of dwellings

0

2

0

Number of meters

16

0

4008

kWh/year

Average energy consumption

0

kWh/year

Consumption change over 5 years

-41%

0%

Annual energy consumption

(2019 data)

Electricity

Gas

Daily electricity profile

(Postcode's  estimated typical electricity profile)

Heating season

Non-heating season

Daily gas profile

(Postcode's  estimated typical gas profile)

Heating season

Non-heating season

Percentage households in fuel poverty

Average annual household income

Average bedrooms per property

Average length of residency

Percentage households with children

10%

over postcode's average

/

�30,000 - �34,999

2

5

10%

Private solar PV

0

Private EV charger

0

Solar farms

0

Public EV charger

0

Existing energy resources

Number of dwellings or EV chargers

0

0

0

0

0

0

0

10

Distribution of EPC rating

A

C

D

E

B

F

G

No EPC

Energy performance certificate (EPC)

Domestic properties

Technical capability 

Full potential

Partial potential

Need improvement

Unsuitable

0

0

0

2

Capability profile (dwellings per postcode):

 

Capability profile refers to the social and technical propensity of the household to take up low carbon technologies that can bring energy flexibility, such as solar PVs, batteries, heat pumps and EV chargers.

Digital capability 

Hi-tech users

Tech savvy

Training required

Other priorities

Financial capability 

Happy investors

Venturers

Penny savers

Deprived

Social capability 

Fully convinced

Motivated

Skeptic

Not interested

0

1

0

1

0

1

1

0

0

1

1

0

Technical capability is the suitability of a dwelling in its location to take up low carbon technologies.

Full potential - capable of adopting all low carbon technologies.

Partial potential - capable of adopting some low carbon technologies.  

Need improvement – capable of adopting technologies if relevant improvements are made to the dwellings.

Unsuitable - dwellings unsuitable for low carbon technologies, such as listed buildings. 

Digital capability describes the engagement of a household in a dwelling with digital technology, including use of smartphones, computers, broadband, and level of digital engagement.

Hi-tech users – households with cutting-edge hardware (smartphones and computers) immersed in digital technology, which play a key role in the way they organise their life. 

Tech Savvy – households composed of avid users of social media and smartphones that aspire to obtain cutting-edge hardware. 

Training required - households that only use digital technology for entertainment, shopping or practical purposes, such as communicating with family and friends.

Other priorities - households with limited, little or no interest in digital technology, preference given to non-digital approaches.

Financial capability refers to a household’s ability to invest, take some level of financial risk or access capital or funding to deploy low carbon technologies or training.

Happy investors - households with ability to invest in low carbon technologies without looking for a financial return. 

Venturers - households with access capital or funding to acquire low carbon technologies and expect some economic payback or delay of payments.

Penny savers - households that depend on loans, grants or programmes to implement low carbon technologies or change life patterns towards energy flexibility.

Deprived – socially or economically deprived households with priorities beyond low carbon technologies.

Social capability refers to the household’s motivation towards low carbon technologies, including the knowledge base, skills, and awareness to understand and value what these could bring to their lifestyle and the environment. 

Fully convinced – households that prioritise activities towards the environment, usually have or are in process of implementing low carbon technologies.

Motivated - households with some interest and knowledge on the effect of flexible and low carbon technologies on the environment.

Skeptic - Households that need to be trained or guided to understand the benefits of implementing low carbon technologies or making changes in their lifestyle to flexible energy patterns.

Not interested - households with lifestyles that do not align with using low carbon technologies.

Spatial scale:

  • Rose Hill area - postcodes of Oxford by Rose Hill area agreed by the Smart and Fair committee.

  • Postcode - Geographical areas defined by the Royal Mail. The map represents 'Unit Postcodes' (Level 4), which is the smallest level of representation. ​​

Data layers and sources:

  • Dwellings’ type – Most common dwelling form and dwelling age in the postcode. [Geomni:2021; Mosaic:2020; EPC:2021].

  • Bedroom count – Mean number of bedrooms and habitable rooms [Geomni:2021; Mosaic:2020].

  • Length of residency – Mean number of years a household occupies a property [Mosaic:2020].

  • Electricity consumption - Annual electricity consumption of domestic properties by area. [BEIS:2019]

  • Gas consumption - Annual gas consumption of domestic properties by area. [BEIS:2019]

  • Energy change – Differential consumption rate between the registered data of 2015 and 2019. [BEIS:2019]

  • EPC (domestic & non domestic)— shows the energy efficiency rating of assessed properties [Ministry of Housing, Communities & Local Government:2019]

  • Domestic fuel poverty – The probability of a household having fuel poverty by postcode and its relation to the fuel mean fuel poverty in Rose Hill area. A household where fuel costs are above the national median level; were they to spend that amount, they would be left with a residual income below the official poverty line. [Mosaic:2020].

  • Household income – shows the net household income, taking into account tax, national insurance, council tax and the household size and composition. [Mosaic:2020]

  • Probability of households with children – shows the mean probability of households to have children up to 11 years old in the area. [Mosaic:2020]

  • Dwellings with PV - shows domestic properties with PV systems installed by postcode. [ERIC project]

  • Public EV chargers — shows public Electric Vehicle (EV) charging points available in the area. [National charge point registry]

  • Domestic EV chargers – shows the number of private domestic chargers by postcode. [BEIS:2018]

 

Energy profile data layers:

  • Electricity demand – shows the daily mean dwelling electricity demand including LCTs electrical loads.

  • PV electricity generation – shows the daily mean PVs electricity production.

  • Heat pump electrical load – shows the daily mean proportion of electricity demand corresponding to heat pump electrical load (only heating season).

  • EV charging electricity consumption – shows the daily mean proportion of electricity demand corresponding to EV charging. Charging hours are set to 12-5am in relation to time-of-use tariffs.

  • Self-consumption of PV – shows the daily mean electricity consumed directly from PVs.

  • Battery discharge - shows the mean daily electricity discharge from the home battery.

  • Total net electricity demand with HP - shows the mean daily electricity consumption of all the dwellings in the area with heat pumps in the heating season

  • Grid carbon intensity – National measurement of how much CO2 emissions are produced per kilowatt hour of electricity consumed (gCO2/kWh).

​ Notes:.

  • Energy profiles were created using archetypes for that neighborhood. They are modelled using a modified CREST model and not actual energy demand profiles for individual dwellings.

All calculations have been conducted by researchers of Low Carbon Building Research Group, Oxford Brookes University.

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