SPM DFES Breakdown by Licence — SPENOpenDataPortal

The Distribution Future Energy Scenarios (DFES) provides forecasts of the uptake of Low Carbon Technologies (LCTs), changes to peak demand, and changes to installed Distributed Generation (DG) and storage. The forecasts are in the form of a scenario range out to 2050, covering changes to our distribution networks (i.e. 33kV and below) as a result of GB’s transition to Net Zero Forecasts.

There are four credible future scenarios covering a range of uncertainties, including differing levels of consumer ambition, policy support, economic growth and technology development.

This DFES table provides a detailed breakdown of peak demand and installed generation capacity by technology type at a licence level.
The date corresponds to the previous NG Electricity System Operator's Future Energy Scenarios (FES) release.

Reports and methodology documents can be found in the DFES section of our website: Distribution Future Energy Scenarios - SP Energy Networks

For additional information on column definitions, please click on the Dataset schema link below.

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Data Triage:

As part of our commitment to enhancing the transparency, and accessibility of the data we share, we publish the results of our Data Triage process.

Our Data Triage documentation includes our Risk Assessments; detailing any controls we have implemented to prevent exposure of sensitive information. Click here to access the Data Triage documentation for the Distribution Future Energy Scenarios dataset.

To access our full suite of Data Triage documentation, visit the SP Energy Networks Data & Information page.

Attachments

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Dataset schema

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Licence

This specifies the licence area that the forecast is for.
For the sum of GSPs across the whole SP Manweb licence area.

No description available for this field.

Name (identifier)	licence
Type	text
Sample

Technology

This specifies the technology type that forecast is being provided for.

chp-n-r - Combined Heat and Power (CHP) – non-renewable
chp-r - Combined Heat and Power (CHP) – renewable
Dispatchable-n-r - Dispatchable generation – non-renewable (e.g. gas peaking plant, and this also includes hydrogen generation in future)
Dispatchable-r - Dispatchable generation – renewable
HYDRO - Hydropower (note – pumped hydro storage is included in ‘Storage-DG’ below)
SOLAR-BTM - Behind-the-meter solar (e.g. photovoltaic (PV) panels)
SOLAR-DG - Larger solar connected directly to network (e.g. half-hourly metered connections)
STORAGE-BTM - Behind-the-meter storage
STORAGE-DG - Larger solar connected directly to network (e.g. half-hourly metered connections)
WIND - Wind generation – total of both onshore and offshore turbines
ASHP - Air Source Heat Pumps
GSHP - Ground Source Heat Pumps
HYBRID - Hybrid Heat Pumps
District Heating - District heting / heat networks
Home EV charging - Residential EVs / EVs that charge at domestic properties
Work EV charging - EVs that charge at place of work
Rapid EV charging - EVs that use rapid chargers
Depot EV charging (commercial) - Commercial EVs that charge at a depot
Other commercial EV charging - Commercial EVs that do not fit into other categories
Underlying Domestic - Underlying domestic electricity demand e.g. lighting and appliances
Underlying I&C - Underlying industrial and commercial electricity demand
V2G - Vehicle to grid (V2G) - electric car batteries available to meet some of the electricity demand at peak times.

No description available for this field.

Name (identifier)	technology
Type	text
Sample

Attribute

This specifies the attribute (or metric) that is forecast.

Installed generation capacity - This is total capacity of the generation installed. This is not necessarily equal to the export capacity or the amount that will be generating at any one time.
Peak demand (with flex) - The contribution to the most onerous averaged half hourly period(s) over the course of the year. Assumes that some peak demand is avoided by consumers switching their electricity use to avoid peak times (demand flexibility).
Peak demand (without flex) - The contribution to the most onerous averaged half hourly period(s) over the course of the year. Modelled without the impact of demand flexibility.
Peak demand reduction - The amount of capacity available to the network (from V2G only) to support peak demand. This doesn't technically reduce 'true demand' as that energy is still consumed.

No description available for this field.

Name (identifier)	attribute
Type	text
Sample

Units

This specifies the unit that the attribute is measured in.

MW - Megawatts (power or rate of energy transfer)

No description available for this field.

Name (identifier)	units
Type	text
Sample

Scenario

This specifies the scenario.

HT - Holistic Transition
EE - Electric Engagement
HE - Hydrogen Evolution
CF - Counterfactual

No description available for this field.

Name (identifier)	scenario
Type	text
Sample

Year

This specifies the year - DFES starting position is the last complete calendar year, and forecasts per year, out to 2050.

As peak demand is key to our modelling, the year corresponds to winter of that year (i.e. 2022 corresponds to 'December 2022') when the peak is likely to happen, although more widely it overlaps with and takes data from the financial year ending the following March in line with regulatory reporting - e.g. 2022 = 2022/23.

The first year is historic data. Following years are predominantly forecast data.

No description available for this field.

Name (identifier)	year
Type	text
Sample

Value

This gives the data value, type: float.

No description available for this field.

Name (identifier)	value
Type	decimal
Sample

JSON Schema

The following JSON object is a standardized description of your dataset's schema. More about JSON schema.

{

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"type":"object",
"oneOf":
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    "properties":
    {
    "licence":
    {
    "type":"string",
    "title":"Licence",
    "description":"This specifies the licence area that the forecast is for. For the sum of GSPs across the whole SP Manweb licence area."
    }
    ,
    "technology":
    {
    "type":"string",
    "title":"Technology",
    "description":"This specifies the technology type that forecast is being provided for. chp-n-r - Combined Heat and Power (CHP) – non-renewable chp-r - Combined Heat and Power (CHP) – renewable Dispatchable-n-r - Dispatchable generation – non-renewable (e.g. gas peaking plant, and this also includes hydrogen generation in future) Dispatchable-r - Dispatchable generation – renewable HYDRO - Hydropower (note – pumped hydro storage is included in ‘Storage-DG’ below) SOLAR-BTM - Behind-the-meter solar (e.g. photovoltaic (PV) panels) SOLAR-DG - Larger solar connected directly to network (e.g. half-hourly metered connections) STORAGE-BTM - Behind-the-meter storage STORAGE-DG - Larger solar connected directly to network (e.g. half-hourly metered connections) WIND - Wind generation – total of both onshore and offshore turbines ASHP - Air Source Heat Pumps GSHP - Ground Source Heat Pumps HYBRID - Hybrid Heat Pumps District Heating - District heting / heat networks Home EV charging - Residential EVs / EVs that charge at domestic properties Work EV charging - EVs that charge at place of work Rapid EV charging - EVs that use rapid chargers Depot EV charging (commercial) - Commercial EVs that charge at a depot Other commercial EV charging - Commercial EVs that do not fit into other categories Underlying Domestic - Underlying domestic electricity demand e.g. lighting and appliances Underlying I&C - Underlying industrial and commercial electricity demand V2G - Vehicle to grid (V2G) - electric car batteries available to meet some of the electricity demand at peak times."
    }
    ,
    "attribute":
    {
    "type":"string",
    "title":"Attribute",
    "description":"This specifies the attribute (or metric) that is forecast. Installed generation capacity - This is total capacity of the generation installed. This is not necessarily equal to the export capacity or the amount that will be generating at any one time. Peak demand (with flex) - The contribution to the most onerous averaged half hourly period(s) over the course of the year. Assumes that some peak demand is avoided by consumers switching their electricity use to avoid peak times (demand flexibility). Peak demand (without flex) - The contribution to the most onerous averaged half hourly period(s) over the course of the year. Modelled without the impact of demand flexibility. Peak demand reduction - The amount of capacity available to the network (from V2G only) to support peak demand. This doesn't technically reduce 'true demand' as that energy is still consumed. "
    }
    ,
    "units":
    {
    "type":"string",
    "title":"Units",
    "description":"This specifies the unit that the attribute is measured in. MW - Megawatts (power or rate of energy transfer)"
    }
    ,
    "scenario":
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    "type":"string",
    "title":"Scenario",
    "description":"This specifies the scenario. HT - Holistic Transition EE - Electric Engagement HE - Hydrogen Evolution CF - Counterfactual"
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    ,
    "year":
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    "type":"string",
    "title":"Year",
    "description":"This specifies the year - DFES starting position is the last complete calendar year, and forecasts per year, out to 2050. As peak demand is key to our modelling, the year corresponds to winter of that year (i.e. 2022 corresponds to 'December 2022') when the peak is likely to happen, although more widely it overlaps with and takes data from the financial year ending the following March in line with regulatory reporting - e.g. 2022 = 2022/23. The first year is historic data. Following years are predominantly forecast data."
    }
    ,
    "value":
    {
    "type":"number",
    "title":"Value",
    "description":"This gives the data value, type: float."
    }
    }
    }
    }
  }
}

}

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